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Abstract

Objective:

The increasing demand for precision medicine has spurred molecular diagnostic investigations to emphasize the utility of miRNA as significant biomarkers. Recent studies have underscored miRNA’s role as prognostic, diagnostic, and therapeutic biomarkers in managing and monitoring multiple myeloma patients. This review aims to present the latest insights on the potential of circulating miRNA as prognostic, diagnostic, and therapeutic biomarkers in bortezomib-resistant multiple myeloma.

Methods:

For this purpose, a comprehensive thematic literature review from January 2014 and August 2024 was conducted utilizing the databases CINAHL, Pubmed, and Google Scholar. Twenty pertinent studies were meticulously analyzed and categorized into the following sections: Bortezomib (BTZ) resistance in multiple myeloma, the predictive role of miRNAs in BTZ resistance, the impact of circulating miRNAs in multiple myeloma, and the potential of circulating miRNA as prognostic, diagnostic, and therapeutic biomarkers.

Results:

Of note, eight studies identified circulating miRNAs as diagnostic miRNA biomarkers (i.e., miR-744, miR-130a, let-7d, let-7e, miR-34a, etc.). In comparison, nine studies identified several circulating miRNAs that can be used as prognostic biomarkers (i.e., miR-20a, miR-483-5p, mir-1246, let-7a, let-7e, etc.). Moreover, five studies identified circulating miRNAs as promising therapeutic biomarkers (i.e., mir-15a, mir-92a, mir-19a, etc.). This discovery can significantly enhance early detection, accurate diagnosis, prognosis, overall survival rates, and quality of life for patients with multiple myeloma.

Conclusion:

Based on this evidence, exploring circulating miRNAs as a potential noninvasive biomarker for multiple myeloma represents a noteworthy advancement. This is attributed to the abundance of miRNAs in plasma or serum, which exhibits remarkable stability against enzymatic degradation.

Keywords

miRNA MM refractory resistance bortezomib

Introduction

Multiple myeloma (MM) is a complex and incurable hematological malignancy characterized by the infiltration of abnormal plasma cells in the bone marrow (BM), resulting in the secretion of an overabundance of monoclonal paraproteins. The clinical manifestation of the disease is identified through CRAB features (calcium elevation, renal insufficiency, anemia, and bone lesions). In 2024, it was anticipated that the United States would witness approximately 35,780 new MM cases, with 19,520 cases occurring in males and 16,260 in females. Additionally, MM is projected to be responsible for 12,540 deaths, comprising 7020 fatalities in males and 5520 in females.¹ The incidence rates per 100,000 individuals in the United States are 8.7 for males and 5.9 for females, the highest rates observed among non-Hispanic Black individuals, at 17.1 for males and 13.0 for females.² These inequalities are attributed to a complex interplay of genetic, environmental, and cellular alterations among neoplastic cells, which lead to tumor heterogeneity and resistance to therapeutic agents.³

Traditionally, tissue biopsies have played a pivotal role in cancer diagnosis; however, there is a significant trend toward adopting noninvasive techniques, such as liquid biopsies, for the detection of cancer biomarkers. The utility of noninvasive biomarkers is increasingly recognized in early detection, prognostication, monitoring, and evaluation of treatment responses, thereby contributing to the advancement of precision medicine.⁴ Notable biomarker candidates encompass circulating tumor DNA (ctDNA), cell-free DNA (cfDNA), and exosomes.⁴ Nonetheless, considerable challenges remain in establishing their clinical utility and validating their effectiveness as reliable biomarkers.⁵ A significant challenge with ctDNA/cfDNA is the low levels of peripheral DNA, which affects sensitivity. Also, sample preparation for DNA methylation analysis limits the rigorous clinical application of this technology in everyday use.⁶ As the incidence of MM continues to rise, there has been a burgeoning utilization of next-generation biomarkers, including extracellular matrix proteins, angiogenesis markers, miRNAs, cell-free DNA, immune markers, novel proteomics-based markers, and genomic markers, each holding promise in refining management and treatment strategies for individual patients, subsequently leading to improved health outcomes.⁷

Nevertheless, despite therapeutic advancements over the past 2 decades, MM remains an incurable disease with a grim prognosis and an overall 5-year survival rate.⁸ This is primarily due to frequent treatment failures and disease relapse.⁹ Clinical studies have explored the synergistic effects of circulating miRNAs as noninvasive biomarkers for tumor diagnosis and for monitoring anti-MM therapies to enhance patient outcomes.¹⁰ Despite the initial efficacy of Bortezomib (BTZ) treatment, a significant proportion of patients experience drug resistance and subsequent relapse.¹⁰ However, BTZ is a promising proteasome inhibitor (PI) demonstrating a significant effect in MM treatment. BTZ operates by obstructing the activity of PSMC1, a component of the 26S proteasome, crucial for the ATP-dependent degradation of ubiquitinated proteins, particularly those governing the cell cycle and gene regulation.^10,11 Cancer cells can upregulate the ubiquitin-proteasome system (UPS), which facilitates the degradation of tumor suppressor proteins, thereby evading apoptosis.¹² BTZ targets cancer cells by inhibiting the 26S proteasome, modulating NF-κB, enhancing NOXA expression, preventing p53 degradation, activating caspases, and inhibiting angiogenesis.¹³ Multiple biological mechanisms, including acquired mutations, inducible changes in cell-survival cell signaling, and chromosomal abnormalities,¹⁴ have been identified as crucial in reducing resistance to BTZ in patients with MM. Dysregulated cell signaling is a critical factor in the advancement of MM, occurring through interactions between MM cells and the BM microenvironment.¹⁴ The precise mechanism underlying the development of BTZ resistance in MM remains unclear. The precise mechanism underlying the development of BTZ resistance in MM remains unclear. Numerous studies show that the dysregulation of miRNA is a key feature of cancer profiling. These nonprotein-coding RNAs modulate gene expression posttranscriptionally and significantly influence physiological and pathological processes, including cell differentiation, angiogenesis, apoptosis, tumorigenesis, and drug resistance.^14,15 This phenomenon is critical for accurately classifying tumors, their diagnosis, prognosis, and developing targeted therapeutic strategies.¹⁵ This thematic review aims to comprehensively examine existing literature on BTZ resistance in MM, explicitly focusing on the predictive role of miRNAs, the significance of circulating miRNAs, and the potential of utilizing circulating miRNAs as biomarkers for prognostic, diagnostic, and therapeutic purposes.

Bortezomib resistance in MM

Recent advancements in drug therapy, particularly with PIs, have considerably improved the prognosis for patients with MM.¹⁶ Nevertheless, the duration of remission remains limited, often resulting in relapses due to resistance to BTZ.¹⁶ Although BTZ is designed to enhance remission rates, subsequent exposure to the drug does not necessarily lead to improved survival outcomes.¹⁶ BTZ functions by reversibly binding to the β5 subunit of the 20S proteasome, thereby obstructing the degradation of pro-apoptotic proteins that promote cancer cell apoptosis.¹⁷ Its role in managing MM is strategic¹⁸; however, complications arising from resistance may result from genetic mutations, epigenetic alterations, and modified metabolic pathways.^15,19

Moreover, many anticancer drugs are known to be P-glycoprotein (P-gp) substrates, which can result in increased drug resistance. Interestingly, BTZ is identified as a poor substrate for P-gp, potentially limiting its therapeutic effectiveness in clinical settings.¹⁹ It is imperative to comprehend the intricate mechanisms that underlie acquired resistance to BTZ to refine treatment approaches for MM patients.²⁰ Studies indicate that such resistance may be attributed to somatic mutation in the PSMB5 gene, which modifies the protein's structure and impedes its binding affinity with BTZ, consequently contributing to drug resistance in malignant cells, particularly in MM.^16,21

Extensive research indicates that the overexpression of proteasome maturation protein gene (POMP gene) contributes to resistance against BTZ.^16,22 Inhibition of apoptosis is a critical element in developing drug resistance. Furthermore, alterations in drug targets are associated with this resistance, particularly the decreased activity of IRE1/XBP1 and the reliance on the unfolded protein response.²³ Additionally, the reduced efficacy of the UPS can promote resistance by disrupting processes such as autophagy, de-ubiquitination, and the functioning of stress-management chaperone proteins.²⁴ Chaperones, including Hsp70 and Hsp90, significantly influence autophagy, affecting the survival and apoptosis of MM cells.^25,26 Moreover, epigenetic mechanisms, such as DNA methylation and histone acetylation, profoundly impact gene regulation.²⁷ Hypermethylation of promoter regions within CpG islands may suppress tumor growth by silencing essential genes, including CDKN2B, CDKN2A, CDH1, DAPK1, SOCS1, and SHP1.²⁸ Additionally, the methylation of the CDKN promoter genes, including MYBPHL, is implicated in myelomagenesis.^29,30 The hypermethylation of the DAPK gene at similar rates in both MM and MGUS suggests that it may serve as an early marker of MM pathogenesis.^28,31

The deletion of the short arm of chromosome 17, which results in the inactivation of TP53, has been shown to adversely affect the survival rates of patients with MM, with the loss of TP53 serving as a negative prognostic indicator.^30,32 Epigenetic mechanisms and miRNAs play a significant role in cancer pathogenesis and treatment strategies.³³ Additionally, the expression of specific miRNAs, particularly miR-125b and miR-50, downregulates the levels of p53, thereby inhibiting apoptosis.³³ In particular, miR-125b modulates the NF-κB, p53, PI3K/Akt/mTOR, ErbB2, Wnt, and various other signaling pathways that govern cellular activities such as proliferation, differentiation, metabolism, apoptosis, drug resistance, and tumor growth immunity.³⁴ These interactions involve adhesion molecules and soluble factors that activate essential signaling pathways such as NF-κB, PI3K/AKT, and JAK/STAT, which are vital for MM cell proliferation, survival, migration, and the inhibition of apoptosis, ultimately contributing to drug resistance.^34,35 Moreover, the imbalance between inflammatory and anti-inflammatory mechanisms plays an essential role in the pathogenesis of MM. Elevated levels of inflammatory cytokines disrupt signaling pathways in MM, promoting the proliferation of malignant cells.^35,36 Adhesion molecules initiate signaling cascades that lead to cytokine secretion, activation of osteoclast, a reduction in osteoblasts, and an increase in MM cell proliferation through the upregulation of pathways including PI3K, STAT3, NF-κB, and MAPK.^35,36 Furthermore, releasing cytokines, such as VEGF and FGF-2, facilitates neovascularization in MM via the MEK/ERK and PI3K pathways.^35,36

BTZ resistance is primarily attributed to abnormal drug metabolism and transport, largely due to hypermethylation of ABC transporters, including ATP binding cassette subfamily B member 1 (ABCB1), ATP binding cassette subfamily B member 2 (ABCG2), and lung resistance-related protein (LRP). This condition contributes to the phenomenon of multidrug resistance.³⁷ Various miRNAs have been identified as influential factors regulating ABC transporter protein expression by targeting mRNAs or their respective regulators.³⁸ The reduction of efflux ABC transporter levels may significantly impact substrate disposition, particularly concerning antineoplastic drugs, thereby affecting chemosensitivity.³⁸ For instance, miRNAs regulate the ABCB1 gene, which encodes P-gp, a critical component of multidrug transport.³⁸ P-gp serves to detoxify drugs, with many anticancer agents acting as substrates that can contribute to drug resistance.³⁸ Breast cancer resistance proteins share functional similarities with P-gp, acting as protective mechanisms against toxins within normal tissues,³⁹ in all the cases such as acute myeloid leukemia, breast cancer, and MM patients undergoing BTZ treatment.⁴⁰ Additionally, increased levels of LRP in acute myeloid leukemia, breast cancer, and MM patients undergoing BTZ treatment,⁴¹ also facilitates tumorigenesis and enhance cell survival.^42–45 Multidrug-resistant proteins (MRPs), such as MRP1 and MRP2, mediate tumor resistance.^46,47 The overexpression of MRP6 has been linked to resistance in tumors exhibiting high MRP1 levels, while MRP7 and MRP8 also contribute to the challenge of anticancer resistance.^48,49 MRP transporters are essential for the detoxification process and for mediating glutathione-dependent drug resistance, particularly regarding BTZ.⁴⁹ Generally, MRPs confer a higher degree of resistance than P-gp, and both can induce tumorigenesis when overexpressed.⁵⁰ miRNAs play a pivotal role in MDR by modulating the expression of various drug-resistant proteins, which constitute a significant cause of treatment failure in cancer therapy.^51–53

Glutathione (GSH) plays a crucial role in the detoxification of xenobiotics and has a significant influence on the mechanisms underlying treatment resistance in cancer cells.⁵⁴ The elevation of GSH levels enhances drug metabolism, thereby contributing to resistance against chemotherapy.⁵⁵ MM dysregulation results from genetic mutations, which include gain-of-function changes in oncogenes such as NRAS, KRAS, BRAF, and cyclin D1 CCND1, along with loss-of-function mutations in tumor suppressor genes like p53, retinoblastoma 1(RB1), DIS3, cyclin-dependent kinase 2A (CDKN2A), and cyclin-dependent kinase 2C (CDKN2C).⁵⁶ Furthermore, mutations in the NF-κB and STAT3 signaling pathways significantly contribute to the disease’s pathophysiology.⁵⁶ These genetic alterations impair proper cell cycle regulation and the induction of apoptosis.⁵⁷ Moreover, the tumor suppressor protein p53 is often mutated, adversely affecting both the cell cycle and apoptotic processes.^58–60 Mutations in p53 within MM cells can activate pathways that promote antiapoptotic mechanisms, thus leading to treatment resistance.⁶¹ Notably, the progression of c-Myc on chromosome 8q24 has been linked to aggressive disease progression and resistance to BTZ.⁶² Consequently, it enables myeloma cells to evade the effects of bortezomib, often resulting in treatment failure, particularly in advanced cases. Furthermore, gene and protein expression alterations within the BM niche can exacerbate this resistance, diminishing the drug’s efficacy in eliminating cancer cells.⁶³

The role of miRNAs in predicting bortezomib resistance in MM patients

The rise of drug resistance in addressing patient conditions and gene expression regulation necessitates the incorporation of novel biomarkers, such as miRNAs, to bring about transformative changes. Recent findings have revealed the identification of new circulating miRNAs capable of predicting BTZ resistance in MM patients. These miRNAs are pivotal in modulating gene expression under physiological and pathological conditions. miRNAs are promising clinical biomarkers due to their stability and presence in easily obtainable biofluids from noninvasive methods. Research demonstrates that miRNAs exhibit stability across various biofluids, including blood, CSF, urine, saliva, and lacrimal fluid. These molecules maintain their integrity at room temperature for up to 96 h and can be stored for several months at low (−20°C) and ultralow (−80°C) temperatures.^64,65 Moreover, routine regular laboratory freeze-thaw cycles have been shown to have no detrimental effects on the quality of miRNAs. In the context of drug-treated tumor cells, miRNAs have been found to decrease the expression of genes associated with drug resistance, facilitate apoptosis evasion, and promote tumor stem cell development.^65,66 Researchers believe combining them with chemotherapy can elevate therapeutic efficacy while mitigating drug resistance.

Consequently, miRNAs have now earned recognition as monitoring markers for anticipating BTZ resistance in MM patients. MiRNAs bolster treatment efficacy by inhibiting tumor growth, reversing chemoresistance, suppressing angiogenesis, inducing apoptosis, enhancing immune response, and ultimately elevating patients’ quality of life.⁶⁷ Recent scientific evidence underscores the impact of miRNA dysregulation and its potential as a noninvasive diagnostic, prognostic, and therapeutic biomarker for next-generation liquid biopsy. miRNAs are increasingly recognized as pivotal factors in the pathogenesis of various cancers.

Moreover, circulating miRNAs have been proposed as biomarkers for cancer detection, and genetic mutations of miRNA expression have been linked to tumorigenesis in various cancers.⁶⁸ Recent studies have demonstrated the utility of circulating miRNA as prognostic biomarkers for MM.⁶⁹ These findings underscore the urgency of identifying prognostic biomarkers for BTZ resistance to enable personalized oncology and precision medicine. Identifying prognostic factors can lead to improved patient survival outcomes, therapeutic strategies, and better stratification of clinical trials.

Identifying patients who are likely to respond to therapy is of paramount importance in optimizing treatment outcomes. Predictive biomarkers play a crucial role in assessing the probable response of patients to treatment in terms of efficacy or toxicity.⁷⁰ This information can potentially enhance overall patient health outcomes, encompassing pain management, prevention of bone density, reduction of disability payments, identification of at-risk individuals for MM, and provision of evidence-based personalized care. While several researchers have investigated the role of miRNA as a predictive marker in BTZ resistance, there exists a need for further insight into the mechanisms of drug resistance in MM patients. Our thorough literature review has culminated in identifying such markers, intending to guide researchers and clinicians in comprehending the treatment landscape for MM. Employing a thematic analysis, our study scrutinized published works on circulating miRNA and its role as prognostic, diagnostic, and therapeutic biomarkers associated with BTZ resistance in MM patients. Furthermore, we have synthesized the available miRNA markers to establish a foundation for personalized treatment, subsequently equipping clinicians with the means to make informed decisions for the improved survival of patients with MM.

Methods

To delineate this thematic review, we developed a systematic search strategy to locate pertinent literature to analyze circulating miRNAs as valuable biomarkers in prognosticating BTZ resistance in patients afflicted with MM.

Search strategy

The search strategy was tailored for three databases: CINAHL, PubMed, and Google Scholar, employing the search terms: “microRNA” or “miRNA” and “MMs,” “Myelomas, Multiple,” “Myeloma, Plasma-Cell” “Myeloma, Plasma Cell” “Myelomas, Plasma-Cell,” “Plasma-Cell Myeloma,” “Plasma-Cell Myelomas,” “Myeloma-Multiple,” “Myeloma Multiple,” “Myeloma-Multiples,” “Kahler Disease,” “Disease, Kahler” and “Plasma Cell Myeloma and Cell Myeloma, Plasma” and “Cell Myelomas” and “Plasma and Myelomas, Plasma Cell” and “Plasma Cell Myelomas” and “Myeloma, Multiple” and “Myelomatosis” and “Myelomatoses.” The search was refined to include English articles involving human subjects and encompassed peer-reviewed articles and research reports published between January 2014 and August 2024.

Screening

The inclusion criteria for the papers encompassed studies involving newly diagnosed MM patients and BTZ resistance and the utilization of miRNA derived from serum or plasma specimens. Exclusion criteria accounted for duplicated information, literature letters, comments, case reports, and studies, where miRNA is not obtained from peripheral circulating blood, for example, through animal experiments or biopsies.

The initial search process yielded 143 citations. Subsequently, 22 duplicate citations and 25 irrelevant articles were removed, and 121 unique articles were sought for potential retrieval. After excluding 28 articles with only abstracts, a total of 74 abstracts were subjected to screening for relevant content based on predefined inclusion and exclusion criteria. Among these 74 articles, only 46 were screened as full-text articles containing pertinent information on circulating miRNA associated with BTZ-resistant MM. Another 26 articles were excluded for not being about circulating miRNA, MM, and BTZ resistance. Finally, only 20 articles served as the foundation for thematic analysis, encompassing the role of circulating miRNA in MM, prognostic, diagnostic, and therapeutic discoveries related to circulating miRNA in MM, and methodological strategies for identifying microRNA, as delineated in Figure 1 Prisma flow chart. This culminated in the qualitative synthesis of 20 articles to establish the overarching themes.

Figure 1.

PRISMA 2020 flow diagram for new systematic reviews which included searches of databases.

Results

The results of this thematic review concerning the relationship between circulating miRNA as a biomarker in MM were methodically organized and categorized by PRISMA guidelines. This thematic review meticulously examines the role of circulating miRNAs as biomarkers in MM, adhering to PRISMA guidelines for systematic reviews. As illustrated in Table 1, from an initial pool of 143 articles, 20 articles were deemed eligible and included in the analysis following a comprehensive screening process. The selected studies were categorized into three key themes, providing a structured framework for this investigation.

Table 1.

Circulating miRNAs as diagnostic, prognostic, and therapeutic biomarkers in multiple myeloma disease.

Study	Sample Size	Aim	Method	miRNAs	Specimen	Results	Target	References
Diagnostic miRNA biomarkers
Kubiczkova et al.⁷¹	N = 208 (103 newly diagnosed MM, 18 relapse MM patients, 57 MGUS, 30 HC)	Global analysis of serum miRNAs that can serve as minimally invasive biomarkers for MM and MGUS	TaqMan low density arrays (TLDA), miRNeasy kit, qRT-PCR	miR-744, miR-130a, let-7d, let-7e, miR-34a	Serum	Downregulated, Upregulated	TUBBA, APC2, JUNB, IGFI, CCDN2, TGFβ, APC2, TGFβRI, CDC25A, TP53, MAPK6, IGF1, MYCN, CDK6, APC2, TP53, MYCN, E2F3, BCL2, CDK6	71
Shen et al.⁷²	N = 117 (71 primary MM patients and 46 HC)	To examine miR-4449 blood biomarker in MM	Microarray qRT-PCR	miR-4449	Serum	Upregulated		72
Jiang et al.⁷³	Microarray: N = 12 (6 MM and 6 HC). RT-qPCR: N = 55 (35 MM and 20 HC)	To probe into the differential expression (DE) of Global miRNA in MM patients compare to healthy donors	Microarray qRT-PCR	miR-125b-5p, miR-483-3p, miR-4326, miR-6894-3p, miR-4498, miR-490-3p, miR-7155-5p and miR-937-3p. miR-125b-5p, miR-490-3p	Plasma	Upregulated in MM, upregulated, validated upregulated, validated	IRF4, TP53, ERGIC3, PCBP1	73
Gupta et al.²⁰	N = 30 (17 males and 13 females)	To exploit the diagnostic importance of cell-free miRNA in MM	ELISA, qRT-PCR	miR-143, miR-144, miR-199, miR-203	Bone marrow serum	Downregulated negatively correlated with prognosis	VCAN	20
Zhang et al.⁷⁴	Three groups (N = 56): 16 HC, 20 SMM, 20 MM	To explore the potential for serum exosomal miRNAs to be novel serum biomarkers for MM	Western blot miRNeasy Serum/Plasma kit, TaqMan qRT-PCR	Let-7d-5p, miR-103a-3p, miR-4741	Serum	Downregulated, downregulated, upregulated	MYC, YAP, Hippo	74
Li et al.⁷⁵	Microarray (N = 18): 6 MM, 6 MUGS, 6 HC. qRT-PCR (N = 57): 23 MM, 16 MUGS, and 18 HC	Diagnostic value of miRNA for MM and MUGS	Microarray, qRT-PCR	miR-134-5p, miR-107, miR-15a-5p	Plasma, serum	Upregulation	ITGB1,PIK3R1P13K-Akt,MAPKBCL-2, VEGF-A, PHF19, cyclin D1, cyclin D2, and CDC25A, MAPK, P13K-Akt pathway	75
Chen et al.⁷⁶	N = 130 (30 new diagnosed MM, 30 relapsed, and 30 remissions patients, 40 HC	To explore miRNA as a diagnostic marker in MM	qRT-PCR	miR-448	Plasma	Upregulated		76
Zhao et al.⁷⁷	N = 120 (90 MM, and 30 HC)	Explore diagnostic/prognostic value of miR-1246 in MM	qRT-PCR	miR-1246	Serum	Upregulated	TP53, MYC, MAPK1, and KIAA, AXIN2 and GSK-3β, impacting the Wnt/β-catenin signaling pathway	77
Study	Sample Size	Aim	Method	miRNAs	Specimen	Results	Target	References
Prognostic miRNA biomarkers
Kubiczkova et al.⁷¹	N = 208 (103 newly diagnosed MM, 18 relapse MM patients, 57 MGUS, 30 HC)	Global analysis of serum miRNAs that can serve as minimally invasive biomarkers for MM and MGUS	TaqMan low density arrays (TLDA), qRT-PCR	miR-744 let-7e	Serum	Downregulated: lower expression levels correlate with remission, shorter survival, and 1-year mortality rates in MM patients	TUBBA, APC2, JUNB MAPK6, IGF1, MYCN, CDK6, APC2, TP53	71
Qu et al.⁷⁸	N = 60 (40 MM and 20 HC)	To explored whether the miRNAs in plasma could be useful clinical biomarkers for multiple myeloma	qRT-PCR	miR-20a miR-483-5p	Plasma	miR-20a levels were not correlated with progression-free survival (p > 0.05). miR-483-5p predictor of myeloma survival	RAS, MYC, HMGA2, and pluripotency factor LIN28	78
Wang et al.⁷⁹	N = 20 (6 women, 14 men)	Aberrant miRNA level and disease prognosis	Microarray, qRT-PCR	let-7a, let-7b, let-7i, miR-15b and miR-16, miR-20a	Plasma/serum	Downregulated, play a role in tumorigenesis and amelioration	RAS, MYC, HMGA2, and pluripotency factor LIN28, BCL2, MCL1, CCND1, WNT3A, and VEGF	79
Hao et al.⁸⁰	N = 152 (108 newly diagnose MM, 44 HC)	Predictive tool for identifying MM bone diseases	miRCURY™ LNA array, qRT-PCR	miR-214 miR-135b	Serum	Upregulated, poor progression-free survival (PFS), novel predictive and prognostic biomarker for myeloma bone disease and MM development (both p < 0.0001)	FBXW7, PTEN, AKT, GSK3	80
Manier et al.³	N = 161 (156 newly diagnose MM, 5 HC)	To characterize circulating exosomal miRNA in MM	RNA sequencing, qRT-PCR	Let-7b miR-18a	Serum	Downregulated poor progression-free survival (PFS) and overall survival (OS)	MYC, RAS, CCND1 IRF2	3
Ren et al.⁸¹	N = 76 (60 newly diagnose MM, 16 HC)	To investigate a possible correlation of peripheral blood (PB) miRNA expression with diagnosis and prognosis	qRT-PCR	miR-720, miR-1246	Serum	Upregulated: increased expression associated with shorter progression-free survival, indicating poor prognosis. miRNA-720 targets TP53, miR-1246 may promote the extramedullary infiltration of MM by targeting CXCR4	TP53 CXCR4	81
Jiang et al.⁷³	Microarray: N = 12 (6 MM and 6 HC), RT-qPCR: N = 55 (35 MM and 20 HC)	To probe into the differential expression (DE) of global miRNA in MM patients compare to healthy donors	Microarray qRT-PCR	miR-125b-5p	Serum	Upregulated, validated, diagnostic/prognostic accuracy in MM	IRF4, TP53	73
Szudy-Szczyrek et al.⁸²	105 newly diagnosed MM patients (53 women, 52 men)	To assess the impact of the expression level of circulating miRNA-8074 on the treatment outcomes and survival of patients with MM	RNA sequencing qRT-PCR	miR-8074	Serum	Upregulation	TP53, MYC, MAPK1, MAF, KIAA	82
Papadimitriou et al.⁸³	Mirna-Seq: 24 BM MM and sMM patient. MM/sMM cohort (CD138+ plasma cells n = 167; sub cohort of MM peripheral plasma samples n = 69)	To identify predictive molecular markers that could support personalized prognosis and tailor therapeutics for patients	RNA sequencing qRT-PCR	miR-25	Serum	Upregulated	TP53, PTEN by PI3K/AKT, ULK1 and p27	83
Study	Sample Size	Aim	Method	miRNAs	Specimen	Results	Target	References
Therapeutic miRNA biomarkers
Hao et al.⁸⁴	Cohort: (N = 108 MM patients and 56 HC)	To evaluate miRNA in MM and healthy donors	miRCury LNA Array, qRT-PCR	miR-19a miR-4254	Plasma/serum	Downregulation significantly extended survival outcomes bortezomib-based therapy and is useful in monitoring myeloma progression	PTEN/AKT/pAKT pathway	84
Zhang et al.⁸⁵	N = 204 MM patients	The emerging roles of circulating exosome-associated miRNAs in drug resistance	Microarray qRT-PCR	miR-15a-5p, miR-16-5p, miR-17-5p, miR-20a-5p	Serum	Downregulated in BTZ-resistant MM patients	BCL-2, VEGF-A, PHF19, cyclin D1, cyclin D2, and CDC25A, MAPK, P13K-Akt pathway	85
Tian et al.⁸⁶	N = 60 (30 MM patients and 30 HC)	To examine the synergistic effect of miR-497 increasing effectives of bortezomib	(MTT) assay (cell viability) Annexin V-FITC (apoptosis analysis) Western Blot	miR-497	Plasm/serum	Synergistic downregulated miR-497 increases BTZ sensitivity and treatment efficacy	Bcl-2	86
Robak et al.¹⁰	N = 30 (19 refractory MM BTZ resistant and 11 BTZ sensitive MM)	To demonstrate 21 serum expression of several miRNAs differs between patients who are BTZ-refractory and BTZ-sensitive in MM	miRCURY LNA RT Kit (Qiagen), qRT-PCR	miR-744-5p, miR-151a-3p, miR-376a-3p, miR-191-5p, miR-181a-5p, miR-766-3p, miR-30c-5p, miR-130a-3p, miR-409-3p, miR-1224-3p miR-328-3p, miR-215-5p, miR-143-3p, miR-122-5p, miR-19b-3p, miR-16-2-3p, miR-148a-3p, miR-22-5p, miR-30e-5p miR-29b-3p, miR-215-5p, miR-376c-3p, miR-181a-5p	Serum	Down regulated, BTZ-refractory patients, Upregulation BTZ-refractory patients, validated to predict the response to BTZ treatment	RUNX1, PI3K/AKT/mTOR signaling, Hippo/YAP axis	10
Pula et al.⁸⁷	N = 40 BTZ-sensitive and 40 BTZ-resistant patient	To identifying the miRNA linked to drug resistance may allow very high-risk patients to be distinguished and improve proper treatment selection	qRT-PCR	Let-7b-5p, miR-27b-3p	Serum	Downregulated control proliferation, apoptosis, and drug resistance by targeting specific genes and signaling pathway		87

Table 1 presents recent insights into the function of circulating miRNAs in MM, highlighting their potential as diagnostic, prognostic, and therapeutic targets that could enhance clinical management strategies in the future. Among the eight studies focusing on diagnostic biomarkers, several miRNAs were identified as noteworthy. Specifically, miR-774, miR-130a, let-7d, miR-143, miR-144, miR-199, miR-203, let-7d-5p, miR-103a-3p, and let-7e demonstrated significant downregulation in MM patients. Conversely, the upregulated miRNAs in serum from BTZ-resistant MM patients included miR-34a, miR-4449, miR-125b-5p, miR-483-3p, miR-4326, miR-6894-3p, miR-4498, miR-490-3p, miR-7155-5p, miR-937-3p, alongside previously noted miRNAs such as miR-125b-5p, miR-490-3p, miR-143, miR-144, miR-199, miR-203, let-7d-5p, miR-103a-3p, miR-4741, miR-134-5p, miR-107, miR-15a-5p, miR-448, and miR-1246. These findings underscore the intricate roles that circulating miRNAs play in the pathophysiology of MM and their potential as biomarkers for clinical applications.

This review has identified nine studies focusing on microRNAs (miRNAs) and their correlations with the prognosis of MM, as summarized in Table 1. The analysis reveals a range of down-regulated miRNAs, including miR-744, let-7e, miR-20a, miR-483-5p, let-7a, let-7b, let-7i, miR-15b, miR-16, miR-18a, and miR-20a. Conversely, the upregulated miRNAs consist of miR-214, miR-135b, miR-720, miR-1246, miR-125b-5p, miR-8074, and miR-25.

Additionally, Table 1 outlines five articles that provide a list of therapeutic circulating miRNA biomarkers that are downregulated, including miR-19a, miR-4254, miR-15a-5p, miR-16-5p, miR-17-5p, miR-20a-5p, miR-30c-5p, let-7b-5p, and miR-27b-3p, along with miR-497. In the context of BTZ treatment, downregulated BTZ-refractory patients include miR-130a-3p, miR-151a-3p, miR-181a-5p, miR-191-5p, miR-328-3p, miR-376a-3p, miR-409-3p, miR-744-5p, miR-766-3p, and miR-1224-3p. On the contrary, upregulated miRNAs associated with BTZ-refractory patients in MM include miR-16-2-3p, miR-19b-3p, miR-29b-3p, miR-30e-5p, miR-122-5p, miR-143-3p, and miR-148a-3p. However, these studies validated only 215-5p, mir-37c-3p, and miR-181a-5p to predict the response to BTZ treatment.

Discussion

MM is an incurable type of blood cancer that accounts for 10% of hematologic malignancies and primarily affects elderly males. Treatment typically involves several drugs, including BTZ, which is frequently prescribed. However, patients often develop resistance to BTZ therapy rapidly. There is a critical need to understand the molecular basis of BTZ resistance in this population and, more importantly, to identify biomarkers that can predict resistance to BTZ in these patients. This thematic analysis synthesizes current literature investigating the potential of miRNAs as biomarkers for predicting BTZ resistance in MM, aiming to clarify the molecular mechanisms driving this resistance. Specifically, this analysis examines the role of circulating miRNAs and their diagnostic, prognostic, and therapeutic potential in MM.

Role of circulating miRNA in MM

MiRNAs, ranging from 19 to 25 nucleotides in length, are noncoding RNAs that are released into the circulatory system.⁶⁹ They function as regulatory noncoding singular stand RNAs and play a crucial role in the modulation of biological functions, cellular differentiation, proliferation, apoptosis, and cancer metastasis.⁴⁷ Alterations in miRNA profiles frequently manifest during cancer initiation, progression, treatment response, remission, and relapse. Recent findings have outlined the secretions of miRNAs into body fluids, including serum and plasma, where they remain stable while freely circulating in the bloodstream.

Consequently, the clinical significance of circulating miRNA lies in their noninvasive role as diagnostic, prognostic, and therapeutic biomarkers in MM.⁶⁹ Specific miRNAs, including miR-20a, miR-19a, miR-92a, and miR-214-3p, function as oncomiRs, playing pivotal roles in inhibiting apoptosis and promoting cell proliferation, migration, and invasion.⁷⁰ Conversely, miRNAs such as miR-15a-5p, miR203, miR144, miR199, miR-483-5p, miR-34a, miR-33b, miR-202, and miR-29a act as suppressors of tumor growth.⁷⁰ Specific miRNAs are implicated in developing the BM microenvironment in MM. For instance, miR143 and miR-29a promote angiogenesis and osteoblast differentiation.^88,89 Moreover, miR-199 is an antioncogene in BM stromal cells.⁸⁸ Additionally, miR-92a regulates oral squamous cell carcinoma cell growth by targeting FOXP1 expression.⁹⁰ Its overexpression induces EMT by regulating PI3K/AKT signaling via targeting PTEN, promoting NSCLC cell migration, invasion, and tumor growth.⁹¹ Our analysis underscores the potential utility of circulating miRNA in body fluids for clinical prognostics, diagnostics, and therapeutics. Consequently, the data indicate that specific miRNA expression profiles can serve as biomarkers for monitoring and treatment of disease.

Diagnostic circulating miRNA biomarkers

Eight studies have examined the correlation between circulating miRNA and disease diagnosis, focusing on evaluating the expression levels of miRNA signatures and their diagnostic significance in MM with diagnostic methods and associations, as shown in Table 1. In 2014, Kubiczkova et al.⁷¹ conducted a global analysis of serum microRNA profiles utilizing TaqMan Low-Density Arrays, followed by validation through quantitative real-time PCR using 208 participants (MM patients, n = 121; MGUS patients, n = 57; healthy individuals, n = 30) and discovered five serum-deregulated miRNAs in MM and MGUS: miR-744, miR-130a, let-7d, and let-7e (p < 0.001), all of which were significantly downregulated.⁷¹ Meanwhile, miR-34a (p < 0.0001) was found to be upregulated in both conditions.⁷¹ Their research shows that miR-34a and let-7e can distinguish MM from healthy donors with 80.6% sensitivity and 86.7% specificity, as well as identify monoclonal gammopathy of undetermined significance (MGUS) with 91.1% sensitivity and 96.7% specificity.⁷¹ The analysis indicated that miR-34a and let-7e effectively differentiate MM patients from healthy controls (AUC = 0.898) and those with MGUS (AUC = 0.976).⁷¹ By analyzing the levels of these miRNAs in a patient’s blood, doctors can identify the presence of MM with a high degree of accuracy. Additionally, the overexpression of Let-7e increases the transcription factors Pre-B cell leukemia transcription factor 1 (PBX1) and CCAAT enhancer binding protein alpha (CEBPA), which are associated with MM pathogenesis.⁸⁹ Let-7e, located on chromosome 19q13.33, targets genes such as MAPK6, IGF1, MYCN, CDK6, APC2, and TP53 in ALL.⁷¹ In contrast, let-7d expression fell compared to initial diagnosis levels.⁷¹ Let-7d, situated on chromosome 9q22.32, specifically targets the genes APC2, TGFβRI, CDC25A, and TP53, and is associated with AML.⁷¹ A study involving 18 relapsed MM patients revealed a significant increase in the expression levels of miR-34a. This research links miR-34a to myeloproliferative neoplasms via the miRWalk database, identifying several target genes, including MYCN, E2F3, BCL2, and CDK6, all of which are located on chromosome 1p36.23.⁷¹ Furthermore, the upregulation of miR-34a in MM acts as a tumor suppressor by inhibiting cancer cell proliferation, promoting apoptosis, and limiting the properties of cancer stem cells.^92,93 MiR-34a modulates target proteins that influence the cell cycle, differentiation, and apoptosis, inhibiting processes essential for cancer cell survival, stemness, metastasis, and chemoresistance.⁹³ In contrast, Soliman et al.⁹⁴ emphasized the role of decreased miR-34a expression in MM, which inhibits apoptosis and promotes prosurvival signaling pathways, primarily by modulating CDK6, BCL2, TGIF2, and NOTCH1. In chronic lymphocytic leukemia (CLL), miR-130a acts as a negative regulator, targeting specific mRNAs (ATG2B and DICER1) and influencing key signaling pathways in disease progression.⁹² Patients with extramedullary myeloma exhibited significantly lower levels of circulating miR-130a compared to individuals with newly diagnosed, relapsed, or progressing MM.⁶⁹ Moreover, serum levels of miR-130a effectively distinguished MM patients with extramedullary disease from healthy controls and from those with newly diagnosed MM.⁹⁵ The miRWalk database indicates that miR-130a is associated with several target genes, including IGF1, CCND2, and TGFβ, all of which are located on chromosome 11q12.13.⁷¹ At the same time, decreased miR-744 through the SOX2/Wnt/β-catenin pathway enhances MM cell proliferation, migration, and invasion, affecting cancer progression.⁹⁶ Similarly, mir-744 enhances the tumorigenic potential of pancreatic cancer cells by activating the Wnt/β-catenin signaling pathway.⁹⁷

A study found that serum miR-4449 expression levels were observed in 71 MM patients and 46 healthy controls. RT-qPCR indicated that miR-4449 levels were significantly higher in MM patients than in healthy controls (AUC of 0.885, 95% CI: 0.826–0.945), making it a valuable tool for the auxiliary diagnosis of MM compared to other markers.⁷² Jiang et al.⁷³ identified eight upregulated miRNAs in MM patients: miR-125b-5p, miR-483-3p, miR-4326, miR-6894-3p, miR-4498, miR-490-3p, miR-7155-5p, and miR-937-3p serum samples were analyzed using 20 healthy controls and 35 MM patients. Both miR-125b-5p and miR-490-3p demonstrated significant diagnostic accuracy in distinguishing MM patients from healthy subjects, yielding areas under the curve (AUCs) of 0.954 (sensitivity = 86%, specificity = 96%, 95% CI: 0.901–1.006, p < 0.001) and 0.866 (sensitivity = 60%, specificity = 85%, 95% CI: 0.522–0.836, p = 0.028).⁷³ Elevated levels of miR-125b play a role in MM by lowering p53 levels and blocking apoptosis.¹⁴ While higher miR-125 levels also increase miR-34a expression.¹⁴ It was observed that elevated miR-490-3p increases ERGIC3 expression and decreases PCBP1 activity, promoting multiplication and migration while impairing the immune system response.⁹⁸ This research indicates that miR-490 is overexpressed in MM samples, highlighting its potential as an early tumor biomarker.⁹⁸

Studies on tumor suppressor miRNAs revealed that the downregulation of miR-143, miR-144, miR-199, and miR-203 are associated with a poor prognosis for MM patients.²⁰ It was noted that the relative expression of miR-203 on chromosome 14q32.33 targets CREB1⁹⁹ and VCAN.²⁰ The dysregulation of miR-203a expression is implicated in the pathogenesis and progression of various malignancies, including gastric, ovarian, colon, and lung cancers, as well as chronic myelogenous leukemia (CML) and other neoplastic diseases.^100–103 Additionally, miR-143, located on chromosome 5q32, targets HDAC7, promotes angiogenesis and osteoblast differentiation. Similarly, miR-144 on chromosome 7q11.2 targets the MEF2A gene, suppressing proliferation and angiogenesis while aiding in apoptosis.¹⁰³ miR-199 on chromosome 9q34.11 acts as an antioncogene within the BM microenvironment by targeting downstream signaling VCAN through FAK and STAT3 activation.²⁰ Zhang et al.⁷⁴ conducted a comparative analysis of circulating miRNA levels in serum samples from three groups: patients with clinically manifest MM (n = 20), smoldering multiple myeloma (SMM) (n = 20), and healthy controls (n = 16).⁷⁴ Their findings indicated that MM patients showed significantly reduced levels of let-7d-5p alongside increased levels of miR-4741 compared to healthy individuals. In the SMM cohort, there was a notable decrease in miR-103-3p, while miR-4741 levels remained elevated relative to controls.⁷⁴ Furthermore, the study identified overexpression of miR-103-3p, miR-140-3p, and miR-425-5p in the MM group. At the same time, a decrease in miR-4505 expression levels was observed in the SMM group.⁷⁴ The let-7 miRNA family plays a crucial role in the pathogenesis of MM and the progression from SMM to MM, particularly through its influence on MYC gene overexpression, which is a known driver of malignancy in this context.⁷⁴ This ultimately leads to increased cell proliferation and migration and a disrupted cell cycle.⁷⁴ This suggests that these specific miRNAs, including the let-7 family, could be potential diagnostic biomarkers or therapeutic targets for MM.

The upregulation of miR-134-5p, miR-107, and miR-15a-5p reveals distinct miRNA expression profiles that differentiate MGUS from MM compared to healthy controls, suggesting their potential as diagnostic markers. Lie et al. validated the diagnostic efficacy of a combined approach using miR-107 and miR-15a-5p alongside hemoglobin (Hb), achieving an AUC of 0.954 (95% CI: 0.890–1.000).⁷⁵ This model demonstrated a sensitivity of 91.3% and a specificity of 93.7%, effectively differentiating MM from MGUS. These findings indicate that miR-134-5p, miR-107, and miR-15a-5p may serve as valuable diagnostic biomarkers in the clinical management of MM and MGUS.⁷⁵ Moreover, integrating miR-107 and miR-15a-5p with Hb can enhance the differentiation between MM and MGUS, potentially facilitating earlier therapeutic interventions and improving patient prognosis.⁷⁵ Notably, miR-15a-5p, residing on chromosome 13q14.2, targets critical regulators such as BCL-2, VEGF-A, PHF19, cyclin D1, cyclin D2, and CDC25A, P13K-Akt pathway thereby inhibiting cell proliferation and modulating apoptosis.¹⁰⁴ The study indicates that specific miRNAs, particularly when combined with Hb levels, can effectively distinguish between MGUS and MM, offering a promising tool for improved diagnosis and potentially earlier treatment.

Another study shows the upregulation of the proliferation of MM, distinguishing newly diagnosed MM patients from healthy donors using ROC analysis, demonstrating 92.90% sensitivity, 87.50% specificity, a 95% confidence interval, and p < 0.001, advocating for its use as a diagnostic biomarker of MM.⁷⁶ Additionally, the diagnostic utility of miR-448 expression has been established as markedly higher in MM patients than in individuals without the condition, with varying expression across distinct MM stages.⁷⁶ Notably, elevated levels of mir-448 were found in newly diagnosed MM with similarly high concentrations of serum M protein; this aids its potential as diagnostic value.⁷⁶

In medical research, specific miRNAs epitomize notable prognostic and diagnostic significance. Notably, in the context of MGUS and MM, miRNAs, such as miR-744 and let-7e, present in circulating serum, have demonstrated potential as markers for diagnostic and prognostic purposes relevant to the survival of MM patients.⁷¹ Furthermore, a study by Zhao et al.⁷⁷ has reported substantially higher serum miR-1246 levels in newly diagnosed MM patients compared to the control group, with decreased levels during remission and increased levels during MM relapse (p < 0.05). Recent evidence shows miR-1246 targets CXC motif chemokine receptor type 4 (CXCR4), inhibiting cell migration and invasion in renal cell carcinoma.¹⁰⁵ CXCR4 is linked to accelerated BM dissemination as a G protein-coupled receptor.¹⁰⁶ Thus, miR-1246 may promote extramedullary infiltration in MM by regulating CXCR4.¹⁰⁶ Table 1 details the sample size, objectives, methods, miRNA, results, targets, and references for the studies utilized in this section.

Prognostic circulating miRNA biomarker

The expression of circulating miRNAs in patients with MM has been examined for its predictive value in the context of drug resistance and disease prognosis.²² This review synthesizes nine studies investigating the interaction of circulating miRNAs that are prognostic circulating miRNA biomarkers in MM, as illustrated in Table 1.

In 2014, Kubiczkova et al.⁷¹ found that lower levels of miR-744 and let-7e correlated with reduced survival and remission rates in myeloma patients. One-year mortality rates were 41.9% for low-expressing miR-744 and 34.6% for low-expressing let-7e, respectively, compared to 3.3% and 3.9% in high-expression groups.⁷¹ The median remission duration was 11 months for patients with low miR-744 and let-7e levels versus about 47 months for those with high expression.⁷¹ These results link altered miRNA patterns in MM and MMGUS to myeloma outcome survival.⁷¹ The dysregulation of miR-744 on chromosome 17p12 results in a poor prognosis. Deletions in 17p13.1, where TP53 is located, further exacerbate the prognosis for MM.⁹⁵ Decreased levels of let-7 microRNA are associated with disruptions in the cell cycle and enhanced proliferation of MM due to the upregulation of oncogenes such as RAS, HMGA2, c-Myc, and CCND1.^78,107 Let-7 typically suppresses these oncogenes by binding to their 3ʹ UTRs, inhibiting translation.⁷⁸ Low let-7 levels remove a vital barrier to cell growth, leading to uncontrolled proliferation.⁷⁸ These results emphasize dysregulated miRNAs in MM and MGUS, highlighting the prognostic significance of miR-744 and let-7e for patient survival.

Qu et al.⁷⁸ investigated plasma biomarkers in MM and examined the expression levels of miR-483-5p and miR-20a in a cohort of 40 patients compared to 20 healthy controls. The ROC analysis indicated that miR-483-5p produced an AUC of 0.745, with a sensitivity of 58% and specificity of 90%.⁷⁸ In contrast, miR-20a yielded an AUC of 0.740, with a sensitivity of 63% and specificity of 85%.⁷⁸ Notably, miR-483-5p levels significantly correlated with the patients’ international staging system (ISS) stages.⁷⁸ For those with elevated miR-483-5p levels, the median progression-free survival (PFS) was 15 months, significantly shorter than the 21 months for those with lower levels (p = 0.025).⁷⁸ Conversely, no significant association was found between miR-20a levels and PFS (p > 0.05).⁷⁸ These findings suggest that miR-483-5p may serve as a promising prognostic biomarker for survival outcomes in MM.⁷⁹

Some miRNAs have been shown to exhibit oncogenic or tumor-suppressive characteristics depending on their molecular pathways and the silenced genes.⁶⁵ For example, in 2015, Wang et al.⁷⁹ explicated the critical role of aberrant expression of let-7a, let-7b, let-7i, miR-15b, miR-16, and miR-20a in tumorigenesis and amelioration. More than 60% (11 of 18) of the miRNAs showed significantly lower serum levels in MM patients than controls.⁷⁹ The let-7 miRNA family and miR-15b/16 clusters are downregulated in malignant myeloma, suggesting their role as tumor suppressors, thus reducing disease progression.⁷⁹ The validated targets of miR-15b include the mRNAs MAP2K4 and MAPKAPK5.⁷⁹ In contrast, miR-16 targets BCL2, MCL1, CCND1, and WNT3A.⁷⁸ Let-7 miRNAs target key transcripts in oncogenesis and cell cycle regulation, including oncoproteins such as RAS, MYC, HMGA2, and pluripotency factor LIN28—these miRNAs significantly impact myeloma pathogenesis.¹⁰⁸

Hoa et al.⁸⁰ reported that patients with bone disease exhibited elevated levels of circulating miR-214 and miR-135b, which correlated with severe lytic bone disruption and were associated with poorer PFS and overall outcome survival. More specifically, higher expression of miR-214 directly correlates with significantly shorter PFS (median: 8 months compared to 22 months) and overall survival (OS) (median: 15 vs 28 months).^80,109 This poor prognosis is linked to the activation of the PI3K/Akt pathway and the severe neoplasm.^109,110

In addition, a study on newly diagnosed MM patients revealed that the downregulation of miRNAs, let-7b and mir-18a, was linked to poor PFS and OS.^3,109 This study included serum from MM (n = 156), which is significantly associated with decreased PFS (HR = 1.9, 95% CI: 1.22–2.94 for miR-18a; HR = 2.76, 95% CI: 1.79–4.26 for let-7b) and OS (HR = 2.83, 95% CI: 1.07–7.5 for miR-18a; HR = 4.52, 95% CI: 1.57–12.98 for let-7b).^3,97 They demonstrated that Let-7 miRNAs act as tumor suppressors in MM by inhibiting oncogenes such as CCND1, MYC, and RAS.^3,109 Meanwhile, miR-18a induces M1 macrophages by directly targeting IRF2 and NK cells.^3,109

Ren et al.⁸¹ reported findings consistent with those of Zhao et al.,⁷⁷ indicating that miR-1246 and miR-720 were significantly upregulated in MM patients (n = 60) compared to a healthy control group (n = 16). Additionally, the expression levels of these miRNAs showed a positive correlation (rho = 0.621).⁸¹ Importantly, the overexpression of both miRNAs in MM patients was linked to a significant decrease in PFS, with median durations of 12.4 months in the high-expression group compared to 17.8 months in the low-expression group.^81,109

Moreover, miR-8074, located on the long arm of chromosome 19 at location 19q13.41, exerts regulatory control over pivotal genes associated with MM pathogenesis, including TP53, MYC, MAPK1, and KIAA.⁸² Elevated levels of miR-8074 may indicate disease severity, especially in tandem with other established diagnostic indicators such as stage III Durie Salmon, renal failure, decreased albumin, elevated β2-microglobulin, LDH, and calcium.⁸² Higher concentrations of MiR-8074 were linked to shorter PFS (17 months compared to 39 months; HR = 2.67, 95% CI: 1.15–6.20, p = 0.0231) and overall survival (30 months vs not reached; HR = 5.25, 95% CI: 1.38–19.97; p = 0.0155).^82,109

In another study, elevated levels of miR-25-3p in the serum of MM patients (n = 69) serve as a noninvasive marker for poorer prognosis. Higher miR-25-3p was linked to lower OS, with a median OS of 25.8 vs 30.7 months.^83,109 A multivariate analysis showed a hazard ratio (HR) of 4.1 (95% CI: 0.79–21.32). Still, no correlation was found for PFS.^83,109 miR-25 inhibits p53 signaling, reducing apoptosis and cell senescence by targeting TP53 and silencing the histone acetyltransferase PCAF.¹¹¹ Additionally, MYC-mediated overexpression of miR-25 is associated with dexamethasone resistance in MM due to its interactions with ULK1 and p27 (CDKN1B).^110,112 It also targets PTEN to activate the PI3K/AKT pathway, thereby promoting the proliferation of MM cells while decreasing apoptosis.¹¹² These studies have linked miRNA dysregulation with disease profiling, thus supporting its potential utility as a prognostic biomarker in MM. Table 1 provides information about the sample size, objectives, methods, miRNA, results, targets, and citations for the studies referenced above.

Therapeutic circulating miRNA biomarkers

Detecting specific circulating miRNAs holds promise for predicting treatment responsiveness in various cancer types, including MM. This thematic review analyzes five studies exploring the interplay between circulating miRNAs and therapeutic strategies in various diseases. The findings indicate that miRNAs function as oncogenes and tumor suppressors, highlighting their dual roles in cancer biology.

Hao et al.⁸⁴ observed a reduction in miR-19a levels at diagnosis and a reappearance of lower levels at relapse. This suggests that the dysregulation of miRNAs may influence patient conditions and disease progression. This observation is supported by findings that higher levels of miR-4254 are associated with increased relapse rates. Conversely, MM patients with low miR-19a have enhanced survival outcomes with BTZ-based treatment.⁸⁴ Additionally, it has been suggested that combining miR-19a and miR-4254 can be a robust prognostic tool for differentiating MM from healthy donors with high precision.⁸⁴ This study also demonstrated a link between 1q21 amplification, drug resistance, and ISS staging.⁸⁴ Notably, low levels of miR-19a showed a positive correlation with a 14q32 deletion, indicating that lower levels of miR-19a, combined with 14q32 chromosomal loss, may contribute to better outcomes.⁸⁴ Elevated levels of miR-19a were linked to poorer survival rates.⁸⁴ Further analysis revealed correlations between miR-19a expression and specific genetic markers such as t(4;14), del(17p), and t(11;14).115 MiR-19a expression was notably higher in patients with t(4;14) while showing reduced levels in those with t(11;14) and del(17p).⁸⁴ These patterns indicate a potential prognostic and therapeutic significance of miR-19a expression in patient stratification and the advancement of treatment strategies for patients demonstrating high miR-19a levels expression.⁸⁴ Furthermore, the levels of miR-19a expression may offer insights into patient responses, highlighting the significance of its biological pathways, especially the suppression of PTEN and the activation of the PI3K/AKT/mTOR signaling cascade.¹¹³ These findings highlight the necessity for further exploration to validate miR-19a’s role as an essential biomarker for treatment response and prognosis.

Zhang et al.⁸⁵ isolated nano-sized exosomes from bortezomib-resistant patients, which showed significantly increased internal RNA content and downregulation of exosomal miR-16-5p, miR-15a-5p, miR-20a-5p, and miR-17-5p. Routine MM workups provide minimal insight into drug resistance prediction.⁸⁵ This investigation examines the emerging role of circulating exosome-associated miRNAs in the development of drug resistance (DR) in MM. The study cohort included 204 patients. Drug resistance rates were 36.5% in the bortezomib-containing group, 73.1% in the thalidomide-containing group, and 81.8% in the lenalidomide-containing group. Elevated serum total light chain ratio (⩾100), high C-reactive protein (CRP) levels (⩾20 mg/L), and the use of second-line therapies were identified as risk factors for acquired bortezomib resistance.⁸³ Among the 68 patients with available genetic data, 1q21 amplification was recognized as a high-risk factor for predicting de novo DR.⁸³ It was linked to reduced serum cholesterol and LDL-C levels.⁸³ Circulating exosome-associated miRNAs offer a fresh perspective for investigating in vivo intercellular communication within the MM microenvironment and may help predict drug resistance.

A study by Tian et al.⁸⁶ emphasized the significance of miR-497 in inhibiting tumorigenesis by enhancing BTZ sensitivity through targeting B-cell lymphoma 2 (Bcl-2) proteins, which regulate apoptosis and improve cell viability, thereby enhancing treatment efficacy. miR-497 overexpression promoted MM cell apoptosis through cell cycle arrest, decreased colony formation, and cell viability.⁸⁶ It also increased the sensitivity of MM cells to bortezomib, suppressing proliferation by targeting Bcl-2 and altering downstream apoptosis-related proteins.⁸⁶ Combining miR-497 with bortezomib may enhance drug sensitivity, offering a potential therapeutic method for MM.⁸⁶

Robak et al.¹⁰ conducted the first pilot study to identify a blood-based miRNA signature that predicts the efficacy of bortezomib-based therapy in patients with MM. This study is the inaugural investigation revealing differential serum expression profiles of several miRNAs between bortezomib-refractory MM patients and those exhibiting drug sensitivity. These findings could be pivotal for future research focused on addressing and overcoming drug resistance in MM therapies.

This research identified 21 miRNA profiles in MM patients responding differently to BTZ, listed in Table 1 as a panel of differentially expressed miRNAs. More specifically, the collective expression levels of miR-215-5p, miR-376c-3p, and miR-181a-5p indicate a patient's potential response to bortezomib treatment.¹⁰ This study observed higher serum levels of miR-215-5p, miR-143-3p, miR-19b-3p, miR-16-2-3p, miR-122-5p, miR-148a-3p, miR-22-5p, miR-30e-5p, and miR-29b-3p in the BTZ-refractory cohort compared to the BTZ-sensitive group. In contrast, levels of miR-744-5p, miR-151a-3p, miR-376a-3p, miR-191-5p, miR-181a-5p, miR-766-3p, miR-30c-5p, miR-130a-3p, miR-409-3p, miR-1224-3p, and miR-328-3p were lower in the refractory group than in the sensitive patients. Moreover, several studies have linked these miRNAs to the proliferation of MM and refractoriness to BTZ.

To illustrate, the research shows a negative correlation between miR-215-5p and RUNX1 expression in MM BM.¹¹⁴ MiR-215-5p overexpression enhances MM cell proliferation and inhibits apoptosis by targeting RUNX1 and suppressing the PI3K/AKT/mTOR signaling, suggesting a dual role as an antioncogene, while promoting G1/S progression.¹¹⁴ MiR-30e-5p differentiates MM with 1q21 gains¹¹⁵ and varies in expression between patients with and without extramedullary relapse.¹⁰ MiR-29b, a tumor suppressor, plays a role in BTZ resistance by targeting MCL-1 via the lncRNA H19/miR-29b-3p/MCL-1, a promising target for addressing drug resistance in MM treatment.¹¹⁶ Six upregulated miRNAs (miR-143-3p, miR-19b-3p, miR-16-2-3p, miR-122-5p, miR-148a-3p, miR-22-5p) in bortezomib-refractory patients have not been well studied in MM but are linked to other cancers. MiR-143-3p inhibits proliferation, migration, and invasion by targeting FOS-like antigen 2 (FOSL2) expression in osteosarcoma¹¹⁷ and proliferation in several cancers.^118–120

Upregulation of miR-19b-3p is linked to tumorigenesis, as well as to carcinoma chemoresistance to oxaliplatin-based drugs, by inhibiting SMAD4 in colon cancer, reflecting the upregulation observed in bortezomib-refractory MM.¹²¹ miR-19b-3p suppresses cell growth and reverses cell resistance to saracatinib by regulating PIK3CA in breast cancer.¹²² Additionally, it influences radiosensitivity via the regulation of TNFAIP3 in nasopharyngeal carcinoma¹²³ and serves as a novel prognostic marker in colon cancer.¹²¹ miR-16-2-3p has tumor-suppressive and antimetastatic properties.¹²⁴ Downregulation of miR-122-5p serves as a prognostic factor and therapeutic target in cancers, acting as a tumor suppressor that targets LYN, an Src family kinase, which inhibits the proliferation, migration, and invasion of gastric cancer.¹²⁵ Also, the downregulation of miR-22-5p contributes to the malignant progression of nonsmall-cell lung cancer (NSCLC) cells by targeting TWIST2.¹²⁶ miR-148a-3p, which influences differentiation and B cell development, plays a role in inhibiting the transcription factors BACH2 and MITF.¹²⁷

miR-181a-5p has been extensively studied in several cancers, including breast cancer, colorectal cancer, prostate cancer, retinoblastoma, pancreatic cancer, nonsmall cell lung cancer, laryngeal cancer, ovarian cancer, bladder cancer, thyroid cancer, and leukemia myeloma.¹²⁸ MiR-181a-5p is a potential therapeutic target for MM.¹²⁸ It is associated with lower CDK2, Cyclin E1, Bcl2, and higher p21, Bax, and caspase 3, regulating MM cell proliferation and apoptosis by inhibiting the Hippo/YAP axis.¹²⁹ The findings indicate the inhibitory role of miR-181a-5p in MM.¹²⁸ In MM, miR-744-5p acts as a tumor suppressor by inhibiting myeloma cell proliferation, invasion, migration, and glycolysis through the SOX12/Wnt/β-catenin pathway.⁹⁶ Consequently, reduced levels of miR-744-5p are linked to increased disease progression, highlighting its potential as a therapeutic target.⁹⁶ miR-376a is a tumor suppressor inhibiting proliferation and invasion of nonsmall-cell lung cancer by targeting c-Myc.¹³⁰ MiR-191-5p promotes tumor progression; higher levels are associated with advanced stages and metastasis of hepatocellular carcinoma.¹³¹ MiR-766-3p downregulates BCL9L, acting as a tumor metastasis suppressor, influencing the β-catenin signaling pathway in osteosarcoma progression.¹³² MiR-30-5p is a tumor suppressor and provides a novel therapy by inhibiting the Wnt/β-catenin/BCL9 pathway.¹³³ It is associated with increased proliferation, survival, migration, drug resistance, and the development of cancer stem cells in MM.¹³³ MiR-130a-3p regulates tumor progression and metastasis with context-dependent downregulation effects.¹³⁴ These findings highlight the differing miRNA expression patterns between refractory BTZ and those sensitive to which is useful for mediating resistance to BTZ in MM.

Interestingly, elevated pretreatment plasma levels with overexpression of the mir-25 gene (7q22.1) have been associated with poor overall and PFS.⁸³ Mir-25, encoded by the mir-25 gene, obstructs the p53 signaling pathway, averts apoptosis and cell senescence by directly targeting TP53 expression and indirectly silencing the histone acetyltransferase PCAF, a potent coactivator of p53.¹¹¹ Furthermore, cancer-suppressive miRNA, such as small RNA, presents the potential for in vivo cell targeting and could yield favorable therapeutic outcomes.¹³⁵ A recent study highlighted increased expression levels of let-7b-5p and miR-27b-3p in BTZ-resistant MM patients compared to BTZ-sensitive MM patients, suggesting that these miRNAs could serve as biomarkers for treatment response in MM.⁸⁷ Both miRNAs have been shown to regulate proliferation, apoptosis, and drug resistance by targeting specific genes and signaling pathways.¹³⁶

Limitations of circulating miRNAs as biomarkers

The utility of circulating miRNA as noninvasive biomarkers in MM’s prognostication, diagnosis, and therapeutic management has garnered considerable attention. Nonetheless, there remains to be contention regarding the specificity and sensitivity of these short miRNA sequences in faithfully representing the dynamics between the serum and the tumor.¹³⁷ Complicating therapeutic challenges are plasma cells’ clonal heterogeneity and genomic instability, thereby fostering intrinsic and acquired therapeutic resistance.¹³⁸ Furthermore, an evaluation of miRNA overexpression is imperative for discerning the implications of the oncogene in the progression of MM.¹⁰ The potential of miRNAs as therapies lies in their ability to modulate gene expression, inhibit tumor growth, and enhance treatment efficacy.¹⁴

Moreover, concurrent health conditions can, it is speculated, influence the biological properties of circulating miRNA, resulting in differential expression levels among individuals.¹³⁷Additionally, the distinctive nature of testing methodologies, such as RNA sequencing, quantitative reverse transcription polymerase chain reaction (qRT-PCR), northern blot, western blot, and microarray, is subject to intrinsic diagnostic limitations, notably the costly nature of reagents.

In addition, bioinformatics algorithms represent a powerful tool for miRNA analysis, employing computational methods, including mathematical and statistical techniques, to address biomedical queries.¹³⁹ The primary objective of the bioinformatics approach is the comprehensive storage of molecular biology data in database formats.¹³⁹ Bioinformatics algorithms are poised to impact the identification or validation of individual miRNAs significantly, the prediction of miRNA target sequences, the determination of miRNA expression, the exploration of miRNA signaling pathways and metabolic pathways, the analysis of regulatory networks of miRNAs, the identification of MiR-transcription factor interplay, and the investigation of miRNA links to human disorders.¹³⁹ The abnormal expression of miRNAs in tumors can impact various cancer hallmarks, influencing tumor development and progression.¹⁹ Bioinformatics offers a comprehensive tool for identifying dysregulated miRNAs and their associated messenger RNA targets. The human genome database contains over 2588 mature miRNAs, facilitating target predictions through programs such as PITA, Tarbase, rna22, MiRDB, STarMir, microInspector, Mirpath, MaMi, MiRecords, mirDIP, miRGator, Magia, miRTar, and miR, each employing distinct modes.¹⁴⁰ While this technology allows for expedited evaluation of miRNA signatures and targets, it faces challenges due to consistency in accuracy and sensitivity.¹⁴¹ Computational errors in sequencing may occur, given that the constructions of this evidence-based molecular network rely on experimental data from various sources, including protein–protein interactions, gene regulatory relationships (including miRNAs), and metabolic pathways. These factors collectively play a crucial and enlightening role in understanding cancer biology. Hence, a comprehensive understanding of intricate molecular interactions in cancer can be attained through high-throughput experimental techniques and databases like Gene Ontology,¹⁴² REACTOME,¹⁴³ the Kyoto Encyclopedia of Genes and Genomes (KEGG),¹⁴⁴ and Galaxy.¹⁴⁵ These resources contain valuable information that enables a comprehensive analysis of cancer-related molecular dynamics.

Challenges in using miRNA for therapeutics

Employing miRNA for therapeutic applications presents significant challenges, particularly regarding suboptimal delivery mechanisms and associated toxicity, which can trigger adverse immune responses. The accurate identification of specific targets is key to developing miRNA-based therapies.¹⁴⁶ This complexity arises because miRNAs interact with a limited range of sequences, making functional validation labor-intensive and costly.¹⁴⁶ Current methods are inadequate for comprehensively predicting all affected cellular pathways and potential binding sites.¹⁴⁶ Moreover, effective miRNA therapies must avoid interactions with genes crucial for maintaining cellular homeostasis, underscoring the necessity for a thorough understanding of miRNA targets and their operational mechanisms. Notably, a clinical trial was approved using nanocarriers—such as lipid-based and cationic polymer-based carriers—and miR-34 therapy (MRX34) as a monotherapy for patients with MM. However, there were challenges in therapeutic delivery, reducing toxicity, and mitigating off-target effects that were not addressed while preserving the integrity of homeostatic cells, which resulted in its discontinuation. Once these challenges are overcome, the miRNAs will be useful in personalized patient care.

Conclusion

MiRNAs exhibit significant potential as noninvasive clinical biomarkers due to their stability and presence in various biofluids such as blood, cerebrospinal fluid (CSF), urine, saliva, and tear fluid. Numerous studies indicate that miRNAs are essential for continuously monitoring disease progression, staging, and treatment efficacy. This method provides real-time insights that are critical for the early detection of cancer evolution, thereby enhancing effective management strategies. This methodology offers real-time insights that are critical for the early detection of cancer evolution, thereby enhancing effective management strategies. Extensive research underscores the pivotal role of miRNA dysregulation in MM, influencing key signaling pathways, apoptosis, and cell proliferation. This thematic review is systematically organized into the following sections: BTZ resistance in MM, the predictive role of miRNAs in BTZ resistance, the impact of circulating miRNAs in MM, and the potential of circulating miRNAs as prognostic, diagnostic, and therapeutic biomarkers. Nine studies suggest that specific circulating miR-15b could function as prognostic biomarkers. Specifically, reductions in let-7a, let-7b, let-7i, miR-15b, miR-16, and miR-20a are correlated with tumorigenesis, while increases in miR-214 and miR-135b are associated with myeloma bone disease and the development of MM. Furthermore, eight studies have identified specific circulating miRNAs as potential diagnostic biomarkers, targeting distinct genes. For instance, the downregulation of miR-16 influences AKT3, MAPK, rp-S6, NF-kB, and VEGF, inhibiting cell proliferation and growth in MM.

In contrast, upregulated miR-1246 significantly impacts critical genes such as TP53, MYC, MAPK1, and KIAA, indicating a poor prognosis. In addition, five articles have recognized circulating miRNAs as promising therapeutic biomarkers. For example, the downregulation of miR-19a and miR-4254 has significantly improved survival outcomes in bortezomib-based therapies and may facilitate the monitoring of myeloma progression. These findings strongly support the incorporation of miRNA into personalized medicine, enhancing capabilities for early detection, precise diagnosis, prognostication, and overall survival rates. Considering this evidence, exploring circulating miRNAs as potential noninvasive biomarkers for MM signifies a noteworthy advancement in MM’s prognostic, diagnostic, and therapy. This assertion is bolstered by the abundance of miRNAs in plasma or serum, demonstrating remarkable stability against enzymatic degradation.

Footnotes

Acknowledgements

Not applicable.

ORCID iDs

Jeane Silva

Zubair A. Karim

Ethical considerations

Not applicable.

Author contributions

SB-C wrote the first draft of the manuscript and analyzed the data; JS and ZAK conceptualized, edited, and finalized the manuscript.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

Siegel

Giaquinto

Jemal

Cancer statistics, 2024. CA Cancer J Clinic 2024; 74(1): 12–49.

National Cancer Institute. Myeloma—Cancer Stat Facts [Internet], SEER 2024, https://seer.cancer.gov/statfacts/html/mulmy.html(accessed 15 December 2024).

Manier

Liu

Avet-Loiseau

, et al. Prognostic role of circulating exosomal miRNAs in multiple myeloma. Blood 2017; 129(17): 2429–2436.

Shi

Wartmann

Accuffi

, et al. Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer. Br J Cancer 2024; 130(1): 125–134.

Grunvald

Jacobson

Kuzel

, et al. Current status of circulating tumor DNA liquid biopsy in pancreatic cancer. Int J Mol Sci 2020; 21(20): 7651.

Parikh

Van Seventer

Siravegna

, et al. Minimal residual disease detection using a plasma-only circulating tumor DNA assay in patients with colorectal cancer. Clin Cancer Res 2021; 27(20): 5586–5594.

Gupta

Sharma

Emerging biomarkers in multiple myeloma: a review. Clin Chim Acta 2020; 503: 45–53.

Fonseca

Abouzaid

Bonafede

, et al. Trends in overall survival and costs of multiple myeloma, 2000–2014. Leukemia 2016; 31(9): 1915–1921.

Simmons

Puglianini

OC.

T-cell-based cellular immunotherapy of multiple myeloma: current developments. Cancers (Basel) 2022; 14(17): 4249.

10.

Robak

Dróżdż

Jarych

, et al. The value of serum microRNA expression signature in predicting refractoriness to bortezomib-based therapy in multiple myeloma patients. Cancers 2020; 12(9): 2569.

11.

Yang

Geng

Chen

Clinical characteristics of a group of patients with multiple myeloma who had two different λ light chains by immunofixation electrophoresis: a retrospective study from a single center. Exp Ther Med 2015; 9(5): 1895–900.

12.

Aliabadi

Sohrabi

Mostafavi

, et al. Ubiquitin–proteasome system and the role of its inhibitors in cancer therapy. Open Biol 2021; 11(4): 200390.

13.

Sogbein

Paul

Umar

, et al. Bortezomib in cancer therapy: mechanisms, side effects, and future proteasome inhibitors. Life Sci 2024; 358: 123125.

14.

Handa

Murakami

Ishihara

, et al. The role and function of microRNA in the pathogenesis of multiple myeloma. Cancers 2019; 11(11): 1738.

15.

Peng

Croce

CM.

The role of MicroRNAs in human cancer. Signal Transduct Target Ther 2016; 1: 15004.

16.

Allmeroth

Horn

Kroef

, et al. Bortezomib resistance mutations in PSMB5 determine response to second-generation proteasome inhibitors in multiple myeloma. Leukemia 2020; 35(3): 887–892.

17.

Sharma

Preuss

CV.

Bortezomib. In: Treasure Island, FL: StatPearls Publishing, 2020.

18.

Yuan

Yang

, et al. miR-520g and miR-520h overcome bortezomib resistance in multiple myeloma via suppressing APE1. Cell Cycle 2019; 18(14): 1660–1669.

19.

Kozalak

Bütün

Toyran

, et al. Review on Bortezomib resistance in multiple myeloma and potential role of emerging technologies. Pharmaceuticals (Basel, Switzerland) 2023; 16(1): 111.

20.

Gupta

Kumar

Seth

, et al. Clinical significance of circulatory microRNA-203 in serum as novel potential diagnostic marker for multiple myeloma. J Cancer Res Clin Oncol 2019; 145(6): 1601–1611.

21.

Yang

Gao

Huang

, et al. ISG20L2 suppresses bortezomib antimyeloma activity by attenuating bortezomib binding to PSMB5. JCI Insight 2022; 7(19): e157081.

22.

Allegra

Cicero

Tonacci

, et al. Circular RNA as a novel biomarker for diagnosis and prognosis and potential therapeutic targets in multiple myeloma. Cancers 2022; 14(7): 1700.

23.

Soriano

Besse

, et al. Proteasome inhibitor-adapted myeloma cells are largely independent from proteasome activity and show complex proteomic changes, in particular in redox and energy metabolism. Leukemia 2016; 30(11): 2198–2207.

24.

Nikesitch

Ling

SCW

. Molecular mechanisms in multiple myeloma drug resistance. J Clin Pathol 2016; 69(2): 97–101.

25.

Zuo

Pang

Zhu

, et al. Heat shock proteins as hallmarks of cancer: insights from molecular mechanisms to therapeutic strategies. J Hematol Oncol 2024; 17(1): 81.

26.

Albakova

Mangasarova

Albakov

, et al. Corrigendum: HSP70 and HSP90 in cancer: cytosolic, endoplasmic reticulum and mitochondrial chaperones of tumorigenesis. Front Oncol 2023; 13: 1210051.

27.

Ren

Fang

, et al. Epigenetic regulation in cancer. MedComm (2020) 2024; 5(2): e495.

28.

Ismail

Mussa

Zakaria

, et al. The role of epigenetics in the development and progression of multiple myeloma. Biomedicines 2022; 10(11): 2767.

29.

Wong

Chim

CS.

DNA methylation of tumor suppressor protein-coding and non-coding genes in multiple myeloma. Epigenomics 2015; 7(6): 985–1001.

30.

Wong

Morgan

Boyle

, et al. A proof-of-concept study for the pathogenetic role of enhancer hypomethylation of MYBPHL in multiple myeloma. Scient Rep 2021; 11(1): 7009.

31.

Geraldes

Gonçalves

Cortesão

, et al. Aberrant p15, p16, p53, and DAPK gene methylation in myelomagenesis: clinical and prognostic implications. Clin Lymphoma Myeloma Leuk 2016; 16(12): 713–720.e2.

32.

Cardona-Benavides

de Ramón

Gutiérrez

NC.

Genetic abnormalities in multiple myeloma: prognostic and therapeutic implications. Cells 2021; 10(2): 336.

33.

Chen

Xie

YH.

[Application of miR-182 for determination of glucocorticoid-resistant patients with lymphoid malignancy]. Zhongguo Shi Yan Xue Ye Xue Za Zhi 2017; 25(3): 781–785.

34.

Wang

Zeng

Jiang

The emerging roles of miR-125b in cancers. Cancer Manag Res 2020; 12: 1079–1088.

35.

Yahfoufi

Alsadi

Jambi

, et al. The immunomodulatory and anti-inflammatory role of polyphenols. Nutrients 2018; 10(11): 1618.

36.

Akhtar

Ali

Faiyaz

, et al. Cytokine-mediated dysregulation of signaling pathways in the pathogenesis of multiple myeloma. Int J Mol Sci 2020; 21(14): 5002.

37.

Waghray

Zhang

Inhibit or evade multi-drug resistance P-Glycoprotein in cancer treatment. J Med Chem 2017; 61(12): 5108–5121.

38.

Haenisch

Werk

Cascorbi

MicroRNAs and their relevance to ABC transporters. Br J Clin Pharmacol 2014; 77(4): 587–596.

39.

Chernykh

Golenkov

Vysotskaya

, et al. Effect of expression of multi-drug resistance genes in newly diagnosed multiple myeloma on the clinical course of the disease. Blood 2016; 128(22): 5144.

40.

Krishnan

Jaiswal

Brown

, et al. Multiple myeloma and persistence of drug resistance in the age of novel drugs (Review). Int J Oncol 2016; 49(1): 33–50.

41.

DiGiacomo

Meruelo

Looking into laminin receptor: critical discussion regarding the non-integrin 37/67-kDa laminin receptor/RPSA protein. Biol Rev 2015; 91(2): 288–310.

42.

Jovanovic

Chetty

Khumalo

, et al. Novel patented therapeutic approaches targeting the 37/67 kDa laminin receptor for treatment of cancer and Alzheimer’s disease. Expert Opin Ther Pat 2015; 25(5): 567–582.

43.

Vania

Morris

Otgaar

, et al. Patented therapeutic approaches targeting LRP/LR for cancer treatment. Expert Opin Ther Pat 2019; 29(12): 987–1009.

44.

Ding

Gao

Wang

, et al. Progress and challenges of multi-drug resistance proteins in diseases. Am J Cancer Res 2022; 12(10): 4483–4501.

45.

Zhang

Wang

Gupta

, et al. Multi-drug resistance proteins (MRPs) and cancer therapy. AAPS J 2015; 17(4): 802–812.

46.

Adema

Floor

Smid

, et al. Overexpression of MRP4 (ABCC4) and MRP5 (ABCC5) confer resistance to the nucleoside analogs cytarabine and troxacitabine, but not gemcitabine. SpringerPlus 2014; 3(1): 732.

47.

Kozalak

Öksüzoğlu

Efficacy of multi-drug resistance transporters and glutathione s-transferase P-1 at developing bortezomib resistance in multiple myeloma cell lines. Latin Am J Pharm 2021; 40(11): 2709–2716.

48.

Karthika

Sureshkumar

Zehravi

, et al. Multi-drug resistance of cancer cells and the vital role of P-glycoprotein. Life 2022; 12(6): 897.

49.

Sarmiento

Tan

, et al. Regulation of multi-drug resistance by microRNAs in anticancer therapy. Acta Pharm Sin B 2017; 7(1): 38–51.

50.

Gajda

Grzanka

Godlewska

, et al. The role of miRNA-7 in the biology of cancer and modulation of drug resistance. Pharmaceuticals 2021; 14(2): 149.

51.

Emran

Shahriar

Mahmud

, et al. Multi-drug resistance in cancer: understanding molecular mechanisms, immunoprevention and therapeutic approaches. Front Oncol 2022; 12: 891652.

52.

Bansal

Simon

MC.

Glutathione metabolism in cancer progression and treatment resistance. J Cell Biol 2018; 217(7): 2291–2298.

53.

Kennedy

Sandhu

Harper

, et al. Role of glutathione in cancer: from mechanisms to therapies. Biomolecules 2020; 10(10): 1429.

54.

Pinto

Bergantim

Caires

, et al. Multiple myeloma: available therapies and causes of drug resistance. Cancers 2020; 12(2); 407.

55.

Matthews

Bertoli

de Bruin

RAM

. Cell cycle control in cancer. Nat Rev Mol Cell Biol 2021; 23: 74–88.

56.

Marei

Althani

Afifi

, et al. p53 signaling in cancer progression and therapy. Cancer Cell Int 2021; 21(1): 703.

57.

Hernández Borrero

El-Deiry

. Tumor suppressor p53: biology, signaling pathways, and therapeutic targeting. Biochim Biophys Acta Rev Cancer 2021; 1876(1): 188556.

58.

Chen

Zhang

, et al. Mutant p53 in cancer: from molecular mechanism to therapeutic modulation. Cell Death Dis 2022; 13(11): 974.

59.

Abdel-Wahab

Mahmoud

Al-Harizy

RM.

Targeting glucose metabolism to suppress cancer progression: prospective of anti-glycolytic cancer therapy. Pharmacol Res 2019; 150: 104511.

60.

Sekiguchi

Ootsubo

Wagatsuma

, et al. The impact of C-Myc gene-related aberrations in newly diagnosed myeloma with bortezomib/dexamethasone therapy. Int J Hematol 2014; 99(3): 288–295.

61.

Glinge

Clauss

Boddum

, et al. Stability of circulating blood-based microRNAs—pre-analytic methodological considerations. PLoS One 2017; 12(2): e0167969.

62.

Kupec

Bleilevens

Iborra

, et al. Stability of circulating microRNAs in serum. PLoS One 2022; 17(8): e0268958.

63.

Matias-Garcia

Wilson

Mussack

, et al. Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples. PLoS One 2020; 15(1): e0227648.

64.

Chan

Cheng

Goh

, et al. Preanalytic methodological considerations and sample quality control of circulating miRNAs. J Mol Diagn 2023; 25(7): 438–453.

65.

Otmani

Lewalle

Tumor suppressor miRNA in cancer cells and the tumor microenvironment: mechanism of deregulation and clinical implications. Front Oncol 2021; 11: 708765.

66.

Kawano

Moschetta

Manier

, et al. Targeting the bone marrow microenvironment in multiple myeloma. Immunol Rev 2014; 263(1): 160–172.

67.

Chakrabortty

Patton

Smith

, et al. miRNAs: potential as biomarkers and therapeutic targets for cancer. Genes 2023; 14(7): 1375.

68.

Alves Martins

de Bulhões

Cavalcanti

, et al. Biomarkers in colorectal cancer: the role of translational proteomics research. Front Oncol 2019; 9: 1284.

69.

Federico

Sacco

Belotti

, et al. Circulating microRNAs and their role in multiple myeloma. Noncoding RNA 2019; 5(2): 37.

70.

Xiang

Zhang

Xiang

, et al. Circulating miRNAs as auxiliary diagnostic biomarkers for multiple myeloma: a systematic review, meta-analysis, and recommendations. Front Oncol 2021; 11: 698197.

71.

Kubiczkova

Kryukov

Slaby

, et al. Circulating serum microRNAs as novel diagnostic and prognostic biomarkers for multiple myeloma and monoclonal gammopathy of undetermined significance. Haematologica 2013; 99(3): 511–518.

72.

Shen

, et al. Identification of a novel microRNA, miR-4449, as a potential blood based marker in multiple myeloma. Clin Chem Lab Med 2017; 55(5): 748–754.

73.

Jiang

Luan

Chang

, et al. The diagnostic and prognostic value of plasma microRNA‑125b‑5p in patients with multiple myeloma. Oncol Lett 2018; 16(3): 4001–4007.

74.

Zhang

Geng

, et al. Serum exosomal microRNAs as novel biomarkers for multiple myeloma. Hematol Oncol 2019; 37(4): 409–417.

75.

Zhang

Wang

Circulating miRNAs as diagnostic biomarkers for multiple myeloma and monoclonal gammopathy of undetermined significance. J Clin Lab Anal 2020; 34(6): e23233.

76.

Chen

Wang

, et al. Circulating miR-448 acts as a potential diagnostic biomarker for multiple myeloma. Hematology (Amsterdam, Netherlands) 2022; 27(1): 847–852.

77.

Zhao

Jing

, et al. The diagnostic and prognostic values of circulating miRNA-1246 in multiple myeloma. Hematology 2022; 27(1): 778–784.

78.

Zhao

, et al. Circulating microRNA 483-5p as a novel biomarker for diagnosis survival prediction in multiple myeloma. Med Oncol 2014; 31(10): 219.

79.

Wang

Corrigan-Cummins

Barber

, et al. Aberrant levels of miRNAs in bone marrow microenvironment and peripheral blood of myeloma patients and disease progression. J Mol Diagn 2015; 17(6): 669–678.

80.

Hao

Zang

Zhao

, et al. Serum high expression of miR-214 and miR-135b as novel predictor for myeloma bone disease development and prognosis. Oncotarget 2016; 7(15): 19589–19600.

81.

Ren

Wang

, et al. Expression of peripheral blood miRNA-720 and miRNA-1246 can be used as a predictor for outcome in multiple myeloma patients. Clin Lymphoma Myeloma Leuk 2017; 17(7): 415–423.

82.

Szudy-Szczyrek

Mlak

Mielnik

, et al. Circulating serum MiRNA-8074 as a novel prognostic biomarker for multiple myeloma. Cells 2022; 11(4): 752.

83.

Papadimitriou

Soureas

Papanota

, et al. miRNA-seq identification and clinical validation of CD138+ and circulating miR-25 in treatment response of multiple myeloma. J Transl Med 2023; 21(1): 245.

84.

Hao

Zang

Wendlandt

, et al. Low serum miR-19a expression as a novel poor prognostic indicator in multiple myeloma. Int J Cancer 2015; 136(8): 1835–1844.

85.

Zhang

Pan

Xiang

, et al. Potential role of exosome-associated microRNA panels and in vivo environment to predict drug resistance for patients with multiple myeloma. Oncotarget 2016; 7(21): 30876–30891.

86.

Tian

Zhan

Zhu

, et al. MicroRNA-497 inhibits multiple myeloma growth and increases susceptibility to bortezomib by targeting Bcl-2. Int J Mol Med 2019; 43(2): 1058–1066.

87.

Puła

Robak

Izabela

, et al. Circulating serum microRNAs as biomarkers of drug resistance in multiple myeloma patients treated with bortezomib-based regimens – pilot study. Leuk Lymphoma 2023; 65(2): 257–264.

88.

Wang

Zhang

Ding

, et al. miR-143 promotes angiogenesis and osteoblast differentiation by targeting HDAC7. Cell Death Dis 2020; 11(3): 179.

89.

Peng

Liu

, et al. BMSC-derived exosomal miR-29a promotes angiogenesis and osteogenesis. Front Cell Develop Biol 2020; 8: 608521.

90.

Guo

Wen

Yang

, et al. MiR-92a regulates oral squamous cell carcinoma (OSCC) cell growth by targeting FOXP1 expression. Biomed Pharmacother 2018; 104: 77–86.

91.

Shan

Hong

, et al. MicroRNA-92a promotes epithelial-mesenchymal transition through activation of PTEN/PI3K/AKT signaling pathway in non-small cell lung cancer metastasis. Int J Oncol 2017; 51(1): 235–244.

92.

Zhang

Liao

Tang

MicroRNA-34 family: a potential tumor suppressor and therapeutic candidate in cancer. J Exp Clin Cancer Res 2019; 38(1): 53.

93.

Misso

Martino

MTD

Rosa

, et al. Mir-34: a new weapon against cancer? Mol Ther Nucleic Acids 2014; 3: e194.

94.

Soliman

Lin

Mahakkanukrauh

, et al. Role of microRNAs in diagnosis, prognosis and management of multiple myeloma. Int J Mol Sci 2020; 21(20): 7539.

95.

Besse

Sedlarikova

Kryukov

, et al. Circulating serum microRNA-130a as a novel putative marker of extramedullary myeloma. PLoS One 2015; 10(9): e0137294.

96.

Guo

Xiao

Liu

, et al. miR-744-5p inhibits multiple myeloma proliferation, epithelial mesenchymal transformation and glycolysis by targeting SOX12/Wnt/β-catenin signaling. Onco Targets Ther 2021; 14: 1161–1172.

97.

Zhou

Gou

, et al. MiR-744 increases tumorigenicity of pancreatic cancer by activating Wnt/β-catenin pathway. Oncotarget 2015; 6(35): 37557–37569.

98.

Tian

Chen

, et al. MicroRNA‑490‑3p and ‑490‑5p in carcinogenesis: separate or the same goal? (Review). Oncol Lett 2021; 22(3): 678.

99.

Han

, et al. The miR-203a regulatory network affects the proliferation of chronic myeloid leukemia K562 cells. Front Cell Develop Biol 2021; 9: 616711.

100.

Funamizu

Lacy

Kamada

, et al. MicroRNA-203 induces apoptosis by upregulating Puma expression in colon and lung cancer cells. Int J Oncol 2015; 47(5): 1981–1988.

101.

Liang

Yang

Zhu

, et al. Prognostic role of microRNA-203 in various carcinomas: evidence from a meta-analysis involving 13 studies. SpringerPlus 2016; 5(1): 1538.

102.

Zhao

Guo

Chen

, et al. miR-203 functions as a tumor suppressor by inhibiting epithelial to mesenchymal transition in ovarian cancer. J Cancer Sci Ther 2015; 7(2): 34–43.

103.

You

Xie

Zhang

, et al. Berberine modulates cisplatin sensitivity of human gastric cancer cells by upregulation of miR-203. In Vitro Cell Dev Biol Anim 2016; 52(8): 857–863.

104.

Liu

, et al. Therapeutic effects of oligo-single-stranded DNA mimicking of hsa-miR-15a-5p on multiple myeloma. Cancer Gene Ther 2020; 27(12): 869–877.

105.

Liu

H-T

Fan

W-X.

MiRNA-1246 suppresses the proliferation and migration of renal cell carcinoma through targeting CXCR4. Eur Rev Med Pharmacol Sci 2020; 24(11): 5979–5987.

106.

Roccaro

Mishima

Sacco

, et al. CXCR4 regulates extramedullary myeloma through epithelial-mesenchymal-transition-like transcriptional activation. Cell Rep 2015; 12(4): 622–635.

107.

Shen

Wicha

, et al. The roles of the let-7 family of MicroRNAs in the regulation of cancer stemness. Cells 2021; 10(9): 2415.

108.

Balzeau

Menezes

Cao

, et al. The LIN28/let-7 pathway in cancer. Front Genet 2017; 8: 31.

109.

Dubaj

Bigosiński

Dembowska

, et al. Role of non-coding RNAs in diagnosis, prediction and prognosis of multiple myeloma. Cancers 2024; 16(5): 1033.

110.

Liu

Aldana-Masangkay

, et al. SUMOylation inhibition enhances dexamethasone sensitivity in multiple myeloma. J Exp Clin Cancer Res 2022; 41(1): 8.

111.

Gordon

Yan

Zhong

, et al. Regulation of p53-targeting microRNAs by polycyclic aromatic hydrocarbons: implications in the etiology of multiple myeloma. Mol Carcinogen 2014; 54(10): 1060–1069.

112.

Zhang

, et al. Downregulation of microRNA-25-3p inhibits the proliferation and promotes the apoptosis of multiple myeloma cells via targeting the PTEN/PI3K/AKT signaling pathway. Int J Mol Med 2021; 47(3): 8.

113.

Zhang

Chen

Zhao

, et al. MicroRNA-19a functions as an oncogene by regulating PTEN/AKT/pAKT pathway in myeloma. Leuk Lymphoma 2017; 58(4): 932–940.

114.

Liu

Zhang

Huang

, et al. miR-215-5p is an anticancer gene in multiple myeloma by targeting RUNX1 and deactivating the PI3K/AKT/mTOR pathway. J Cell Biochem 2020; 121(2): 1475–1490.

115.

Gregorová

Vrábel

Radová

, et al. MicroRNA analysis for extramedullary multiple myeloma relapse. Klin Onkol 2018; 31(Supplementum1): 148–150.

116.

Pan

Zhang

Liu

, et al. LncRNA H19 overexpression induces bortezomib resistance in multiple myeloma by targeting MCL-1 via miR-29b-3p. Cell Death Dis 2019; 10(2): 106.

117.

Sun

Dai

, et al. miR-143-3p inhibits the proliferation, migration and invasion in osteosarcoma by targeting FOSL2. Scient Rep 2018; 8(1): 606.

118.

Song

Wang

Pan

, et al. lncRNA OIP5-AS1 targets ROCK1 to promote cell proliferation and inhibit cell apoptosis through a mechanism involving miR-143-3p in cervical cancer. Brazil J Med Biol Res 2020; 53(1): e8883.

119.

Liu

Zheng

Zhao

, et al. miR-143 inhibits migration and invasion through regulating LASP1 in human esophageal cancer. Int J Clin Exp Pathol 2019; 12(2): 466–476.

120.

G-H

J-H

Yang

, et al. LncRNA LOXL1-AS1 inhibited cell proliferation, migration and invasion as well as induced apoptosis in breast cancer via regulating miR-143-3p. Eur Rev Med Pharmacol Sci 2019; 23(23): 10400–10409.

121.

Wang

Zhu

Exosomal miR-19b-3p communicates tubular epithelial cells and M1 macrophage. Cell Death Disease 2019;10: 762.

122.

Jin

Sun

Yang

, et al. miR-19b-3p inhibits breast cancer cell proliferation and reverses saracatinib-resistance by regulating PI3K/Akt pathway. Arch Biochem Biophsy 2018; 645: 54–60.

123.

Huang

Yin

, et al. MicroRNA-19b-3p regulates nasopharyngeal carcinoma radiosensitivity by targeting TNFAIP3/NF-κB axis. J Exp Clin Cancer Res 2016; 35(1): 188.

124.

Maximov

Akkawi

Khawaled

, et al. MiR-16-1-3p and miR-16-2-3p possess strong tumor suppressive and anti-metastatic properties in osteosarcoma. Int J Cancer 2019; 145(11): 3052–3063.

125.

Meng

Chen

Jiang

, et al. MiR-122-5p suppresses the proliferation, migration, and invasion of gastric cancer cells by targeting LYN. Acta Biochim Biophys Sin 2019; 52(1): 49–57.

126.

Han

Liu

, et al. Study on the potential mechanism of miR-22-5p in non-small-cell lung cancer. Dis Mark 2022; 2022(1): 3750734.

127.

Porstner

Winkelmann

Daum

, et al. miR-148a promotes plasma cell differentiation and targets the germinal center transcription factors Mitf and Bach2. Eur J Immunol 2015; 45(4): 1206–1215.

128.

Shen

Zhao

, et al. Role of miR‑181a‑5p in cancer (Review). Int J Oncol 2023; 63(4): 108.

129.

Sun

Jiang

Jia

, et al. LncRNA MALAT1/miR-181a-5p affects the proliferation and adhesion of myeloma cells via regulation of Hippo-YAP signaling pathway. Cell Cycle 2019; 18(19): 2509–2523.

130.

Wang

Cong

, et al. MiR-376a suppresses the proliferation and invasion of non-small-cell lung cancer by targeting c-Myc. Cell Biol Int 2017; 42(1): 25–33.

131.

, et al. Elevation of miR-191-5p level and its potential signaling pathways in hepatocellular carcinoma: a study validated by microarray and in-house qRT-PCR with 1291 clinical samples. Int J Clin Exp Pathol 2019; 12(4): 1439–1456.

132.

Zhang

Chen

Liu

, et al. miR-766-3p targeting BCL9L suppressed tumorigenesis, epithelial-mesenchymal transition, and metastasis through the β-catenin signaling pathway in osteosarcoma cells. Front Cell Develop Biol 2020; 8: 594135.

133.

Zhao

Lin

Zhu

, et al. MiR-30-5p functions as a tumor suppressor and novel therapeutic tool by targeting the oncogenic Wnt/β-Catenin/BCL9 pathway. Cancer Res 2014; 74(6): 1801–1813.

134.

Wang

, et al. MiRNA-130a-3p inhibits cell proliferation, migration, and TMZ resistance in glioblastoma by targeting Sp1. Am J Trans Res 2019; 11(12): 7272.

135.

Cui

Wang

Yao

, et al. Circulating microRNAs in cancer: potential and challenge. Front Genet 2019; 10: 626.

136.

Zhang

Wang

Liu

, et al. Let-7b acts as a tumor suppressor in osteosarcoma via targeting IGF1R. Oncol Lett 2019; 17(2): 1646–1654.

137.

Zhang

, et al. Circulating microRNAs: biomarkers of disease. Clin Chim Acta 2021; 516: 46–54.

138.

Nooka

Kastritis

Dimopoulos

, et al. Treatment options for relapsed and refractory multiple myeloma. Blood 2015; 125(20): 3085–3099.

139.

Akhtar

Micolucci

Islam

, et al. Bioinformatic tools for microRNA dissection. Nucleic Acids Res 2016; 44(1): 24–44.

140.

Rasheed

Bioinformatics approach: a powerful tool for microRNA research. Int J Health Sci 2017; 11(3): 1–3.

141.

Quillet

Saad

Ferry

, et al. Improving bioinformatics prediction of microRNA targets by ranks aggregation. Front Genet 2020; 10: 1330.

142.

Tomczak

Mortensen

Winnenburg

, et al. Interpretation of biological experiments changes with evolution of the gene ontology and its annotations. Scient Rep 2018; 8(1): 5115.

143.

Jassal

Matthews

Viteri

, et al. The reactome pathway knowledgebase. Nucleic Acids Res 2019; 48(D1): D498–D503.

144.

Kanehisa

Furumichi

Sato

, et al. KEGG: biological systems database as a model of the real world. Nucleic Acids Res 2024; 53(D1): D672–D677.

145.

Afgan

Baker

Batut

, et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res 2018; 46(W1): W537– W544.

146.

No authors listed. “What will it take to get miRNA therapies to market?.” Nature biotechnology 2024; 42(11): 1623–1624.

A thematic analysis of prognostic,diagnostic,and therapeutic of circulating miRNA biomarkers in bortezomib-resistant multiple myeloma

Abstract

Objective:

Methods:

Results:

Conclusion:

Keywords

Introduction

Bortezomib resistance in MM

The role of miRNAs in predicting bortezomib resistance in MM patients

Methods

Search strategy

Screening

Results

Discussion

Role of circulating miRNA in MM

Diagnostic circulating miRNA biomarkers

Prognostic circulating miRNA biomarker

Therapeutic circulating miRNA biomarkers

Limitations of circulating miRNAs as biomarkers

Challenges in using miRNA for therapeutics

Conclusion

Footnotes

Acknowledgements

ORCID iDs

Ethical considerations

Author contributions

Funding

Declaration of conflicting interests

References