Next-generation sequencing and biomarkers for gastric cancer: what is the future?

Abstract

Recent years have witnessed an improved understanding of tumour biology and the molecular features of gastric cancer. Remarkable advances in next-generation sequencing technologies have defined the genomic landscape of gastric cancer. In fact, several molecular classifications have been proposed, and distinct molecular subtypes have been identified, which could serve as a roadmap for patient stratification and trials of targeted therapies. At present, clinical trials of new agents, such as receptor tyrosine kinases inhibitors, antibody–drug conjugates and IMAB362 (anti-Claudin 18.2), are ongoing. Furthermore, biomarkers of immune checkpoint inhibitors or combination therapy have been ardently investigated. These developments could facilitate precision medicine for gastric cancer in the near future.

Keywords

Claudin 18.2 gastric cancer immune checkpoint inhibitors molecular profiles receptor tyrosine kinases

Introduction

Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related mortality worldwide.¹ Although some chemotherapy (CTx) regimens, including a platinum + fluoropyrimidine combination, trastuzumab [for human epidermal growth factor receptor 2 (HER2)-positive cases], taxanes, irinotecan and ramucirumab, reportedly enhance the survival outcomes of patients with advanced GC (AGC),^2–6 the prognosis remains poor (median survival ~1 year). Although the phase III ATTRACTION-2 trial of anti-programmed death 1 (anti-PD-1) antibody, nivolumab, reported a survival benefit in AGC,⁷ the overall response rate (ORR) was approximately 10% and half of the patients exhibited early disease progression. Thus, the establishment of a better selection of patients who might derive greater benefit from PD-1 blockade is warranted. In addition, trifluridine/tipiracil (TAS-102) demonstrated a survival benefit compared with placebo in heavily pretreated patients with AGC.⁸ However, until recently, several phase III trials of targeting agents for AGC failed to demonstrate a survival benefit (Table 1). Notably, single-agent activity for AGC is minimal, and a few trials have attempted to identify possible biomarkers before phase III trials; thus, better patient stratification based on molecular profiles is crucial.

Table 1.

Recent phase III trials of new agents for gastric cancer.

Target	Trial/authors	Line	Screening	Agent	control	Endpoint	Results	DifferencemOS (m) (HR)
HER2	ToGA	1^st	HER2	Trastuzumab	(+chemo)	OS	Positive	+2.7 (HR 0.74)
HER2	Logic	1^st	HER2 (FISH)	Lapatinib	PBO (+chemo)	OS	Negative	+1.7 (HR 0.91)
HER2	JACOB	1^st	HER2	Pertuzumab	PBO (+chemo+Tmab)	OS	Negative	+3.3 (HR 0.84)
HER2	TyTAN	2^nd	HER2 (FISH)	Lapatinib	(+chemo)	OS	Negative	+3 (HR 0.84)
HER2	GATSBY	2^nd	HER2	T-DM1	Taxanes	OS	Negative	−0.7 (HR 1.15)
EGFR	REAL-3	1^st	–	Panitumumab	(+chemo)	OS	Negative	−2.5 (HR 1.37)
EGFR	EXPAND	1^st	–	Cetuximab	PBO (+chemo)	PFS	Negative	−1.3 (HR 1.0)
EGFR	ENRICH	2^nd	EGFR (IHC)	Nimotuzumab	(+chemo)	OS	Terminated
mTOR	GRANITE-1	2^nd /3^rd	–	Everolimus	PBO	OS	Negative	+1.05 (HR 0.9)
mTOR	GRANITE-2	2^nd	–	Everolimus	PBO (+chemo)	OS	Negative	+1.0 (HR 0.92)
HGF	RILOMET1	1^st	MET (IHC)	Rilotumumab	PBO (+chemo)	OS	Negative	−2.9 (HR 1.36)
MET	METgastric	1^st	MET (IHC)	Onartuzumab	PBO (+chemo)	OS	Negative	−0.3 (HR 0.82)
VEGF-A	AVAGAST	1^st	–	Bevacizumab	PBO (+chemo)	OS	Negative	+2 (HR 0.87)
VEGFR2	RAINFALL	1^st	–	Ramucirumab	PBO (+chemo)	OS	Negative	+0.4 (HR 0.96)
VEGFR2	REGARD	2^nd	–	Ramucirumab	PBO	OS	Positive	+1.4 (HR 0.776)
VEGFR2	RAINBOW	2^nd	–	Ramucirumab	PBO (+chemo)	OS	Positive	+2.2 (HR 0.807)
VEGFR2	Li et al.	3^rd	–	Apatinib	PBO	OS	Positive	+1.8 (HR 0.71)
PARP	GOLD	2^nd	ATM (IHC)	Olaparib	PBO (+chemo)	OS	Negative	+1.9 (HR 0.79)
STAT3	BRIGHTER	2^nd	–	Napabucasin	PBO (+chemo)	OS	Negative	−0.4 (HR 1.01)
PD1	Keynote061	2^nd	PD-L1 (IHC)	Pembrolizumab	Paclitaxel	OS	Negative	+0.8 (HR 0.82)
PD1	JAVELIN300	3^rd	–	Avelumab	Irinotecan/taxanes/BSC	OS	Negative	−0.4 (HR 1.1)
PD1	ATTRACTION-2	3^rd-	–	Nivolumab	PBO	OS	Positive	+1.2 (HR 0.63)

FISH, fluorescence in situ hybridization; EGFR, epidermal growth factor receptor 1; HER2, human epidermal growth factor receptor 2; HGF, hepatocyte growth factor; HR, hazard ratio; IHC, immunohistochemistry; MET, mesenchymal–epithelial transition factor; mTOR, mammalian target of rapamycin; OS, overall survival; PARP, poly (ADP-ribose) polymerase; PBO, placebo; PFS, progression-free survival; STAT3, signal transducer and activator of transcription 3; VEGF, vascular endothelial growth factor; VEGFR2, vascular endothelial growth factor receptor 2.

This study aims to review the molecular features, promising treatment targets and biomarkers of immune checkpoint inhibitors that could facilitate precision medicine for GC in the near future.

Molecular profiles of GC

The molecular characterization of GC has been rapidly evolving recently. To date, several molecular classifications have been proposed, and distinct molecular subtypes have been identified.^9–14 Reportedly, several receptor tyrosine kinases (RTKs), such as HER2, epidermal growth factor receptor 1 (EGFR), mesenchymal–epithelial transition factor (MET) and fibroblast growth factor receptor 2 (FGFR2), are amplified in GC, and targeted therapies including these molecules have been developed.^15–18 Notably, these amplifications are frequently but not universally mutually exclusive.^15–18 In 2014, The Cancer Genome Atlas (TCGA) network characterized 295 gastric adenocarcinoma cases based on six molecular platforms⁹: somatic copy number analysis, whole-exome sequencing, DNA methylation profiling, messenger RNA sequencing, microRNA sequencing and reverse-phase protein array. In addition, microsatellite instability (MSI) testing and whole-genome sequencing were performed. Then, four subtypes of GC were described as follows: (1) tumours positive for Epstein–Barr virus (EBV); (2) MSI-high (MSI-H) tumours; (3) genomically stable (GS) tumours and (4) tumours with chromosomal instability (CIN; Table 2). EBV-positive tumours exhibit recurrent PIK3CA and ARIDIA mutations, extreme DNA hypermethylation and high amplification of JAK2, PD-L1 and PD-L2. MSI-H tumours exhibit elevated mutation rates, including mutations of genes encoding targetable oncogenic signalling proteins. GS tumours are enriched for the diffuse histological variant and mutations of CDH1 and RHOA or CLDN18–ARHGAP fusion. CIN tumours are frequently observed at the gastroesophageal junction/cardia with recurrent TP53 mutation and relatively numerous amplifications of RTKs genes. In 2015, The Asian Cancer Research Group (ACRG) proposed four molecular subtypes, including (1) MSI-H, (2) microsatellite stable (MSS) with epithelial–mesenchymal transition features (MSS/EMT), (3) MSS/TP53 mutant (MSS/TP53) and (4) MSS/TP53 wild-type (MSS/TP53^–; Table 2).¹⁰ In the MSS/EMT subtype, nearly 70% of recurrences were at the peritoneum, with a markedly poorer prognosis compared with other subtypes, highlighting the need for therapy development for peritoneal dissemination.¹⁰ Recently, Liu et al. reported that gastrointestinal tract adenocarcinomas comprised five molecular subtypes, EBV, MSI, hypermutated single-nucleotide variant predominant (HM-SNV), CIN and GS, to distinguish genomic or immunological features.¹⁹ HM-SNV tumours harboured a lower level of CD8 or interferon (IFN)-γ signatures than that of MSI tumours, indicating that indel mutations, which MSI-H tumours often yield, better neoantigens than SNVs. The future clinical trials of targeted and immune therapy in AGC should be designed per differences in genomic or immunological features, as they could affect treatment response and clinical outcomes. Notably, these molecular profiles have been investigated in Japanese AGC. According to GI-SCREEN as the Nationwide Cancer Genome Screening Project, the frequently detected mutations were TP53 (47.8%), PIK3CA (9.2%), KRAS (6.0%), SMAD4 (5.1%), APC (4.1%), TET2 (3.9%), ERBB2 (3.3%) and copy number variants were ERBB2 (11.3%), CCNE1 (11.1%), KRAS (3.7%), FGFR2 (3.3%), ZNF217 (3.3%), MYC (2.7%), CCND1 (2.3%) and CDK6 (2.1%).²⁰ In stage IV AGC, mismatch repair (MMR)-deficient (MMR-D) and EBV tumours are identified in 6.2% and 6.2% cases, respectively.²¹ These profiles do not largely differ from prior reports mainly conducted outside Japan, supporting the global development of new agents for AGC. Recently, multiplex gene panels, such as NCC Oncopanel and FoundationOne CDx, were approved in Japan to advance personalized medicine, resulting in further genomic profiling in a large cohort of Japanese patients with AGC. Furthermore, the MSI status could be detected by targeted next-generation sequencing (NGS).²²

Table 2.

The new molecular-based classification of GC according to The Cancer Genome Atlas (TCGA) 2014 and The Asian Cancer Research Group (ACRG) 2015.

TCGA	Epstein–Barr virus-infected (EBV)	Microsatelliteinstability (MSI)	Genomicallystable (GS)	Chromosomal instability (CIN)
	• EBV-positive• Profound hypermethylation• CDKN2A silencing• 80% PIK3CA mutation• PD-L1/2 overexpression• Immune cell signalling• Frequent ARID1A and• BCOR mutations• Fundus and body	• Hypermutation• DNA hypermethylation• Silencing of MLH1 • Elevated somatic mutations (PIK3CA, 42%; ERBB3, 26%)• Older patients• Fundus, body and antrum	• Tumours lacking aneuploidy and elevated rates of mutation or hypermethylation• Somatic RHOA and CDH1 mutations• CLDN18–ARHGAP6 or ARHGAP26 fusions• Mostly diffuse subtype	• Marked aneuploidy• TP53 mutations• Recurrent amplifications of receptor tyrosine kinases (HER2, 24%)• Majority of tumours at the esophagogastric junction
ACRG	MSS/TP53-	MSI	MSS/EMT	MSS/TP53
	Intact TP53• MDM2 amplification• EBV infection• Enrichment with PIK3A or ARID1A mutation and cytokine signature in EBV-positive tumours	• Hypermutation• Silencing of MLH1 • Frequent mutations in KRAS, MTOR, PIK3CA, ASL and ARID1A • Best prognosis	• CDH1 silencing• Younger patients• Worst prognosis	• TP53 mutation• Genomic instability• Recurrent amplification (ERBB2, EGFR, GATA6, MYC, CCNE1 and CCND1)

Meanwhile, heterogeneity of genomic alterations is one of the main issues in GC,^23,24 which could account for some differences in the incidence of mutations or amplifications and inconsistent molecular characterization across various reports.^9–14 In addition, discordance of dominant oncogenic alterations between primary and metastatic tumour is reported in 32% of AGC tumour samples.²³ Conversely, 87.5% concordance for targetable alterations was noted in metastatic tissue and circulating tumour DNA (ctDNA).²⁴ Furthermore, other studies suggested the dynamic landscape of the ctDNA profile before and after molecular targeting agents.^25,26 These analyses should also be incorporated into clinical trials of new agents for AGC to elucidate better treatment biomarkers.

Promising treatment targets

Targeting HER2

Approximately 60% of patients with GC belong to the CIN subtype and could depend on RTKs signalling for growth and development.^9,10,27,28 HER2 is a therapeutically relevant RTK in 10–20% of the overall GC population and up to 30% of gastroesophageal junction adenocarcinoma harbouring HER2 gene amplification or protein overexpression. In the trastuzumab for GC (ToGA) trial, patients treated with trastuzumab (a HER2-directed monoclonal antibody) and CTx exhibited a significant improvement in overall survival (OS; 13.8 versus 11.1 months; HR, 0.74; p = 0.0046).²⁹ The OS benefit was the highest in the subset of tumours defined as HER2 immunohistochemistry (IHC) 3+ or IHC2+/fluorescence in situ hybridization (FISH) with unprecedented OS of 16 months in the trastuzumab group compared with 11.8 months with CTx alone [hazard ratio (HR) 0.68; 95% confidence interval (CI) 0.5–0.83];²⁹ thus, it became a standard of care for this patient population.

Several recent studies have demonstrated the potential utility of tissue-based NGS and ctDNA NGS for biomarkers of HER2-tageted therapy.^30–32 Kim et al. reported that CCNE1 amplification and low-level HER2 amplification detected by NGS correlated with the lack of response.³⁰ The cfDNA analysis revealed that detectable ERBB2 copy number amplification in the plasma was predictive to the response, and changes in plasma-detected genomic alterations correlated with the sensitivity and/or resistance of HER2-tageted therapy.³⁰ In addition, serial ctDNA sequencing illustrated emergences of other genomic aberrations, such as MYC, EGFR, FGFR2 and MET amplifications, at disease progression.³⁰ Sanchez-Vega et al. demonstrated that resistance to the pan-HER inhibitor afatinib correlated with the selection of tumour cells with the loss of EGFR amplification or acquired MET amplification, which might be detected in the plasma cfDNA, in a phase II trial of trastuzumab-refractory HER2-amplified AGC.³³ A phase II trial of margetuximab, an anti-HER2 monoclonal Fc-optimised antibody for antibody-dependent cellular cytotoxicity (ADCC), in combination with pembrolizumab demonstrated that ERBB2 amplification detected by ctDNA progressing on trastuzumab could facilitate identifying AGC patients more likely to respond to the study treatment, especially among PD-L1 positive patients.³⁴ Furthermore, ctDNA NGS could overcome tissue biopsy errors associated with intratumoural heterogeneity, especially at post-treatment progression.

Lately, antibody–drug conjugates have emerged as a promising strategy in cancer therapy and combine the capability of monoclonal antibodies to precisely target tumour cells with the highly potent killing activity of drugs with payloads too toxic for systemic administration. Nevertheless, trastuzumab-emtansine (T-DM1, an antibody–drug conjugate comprising trastuzumab linked to the cytotoxic agent DM1), which illustrates remarkable efficacy in breast cancer, did not prolong the OS in HER2-positive AGC;³⁵ this could be, in part, attributed to intratumoural heterogeneity in the HER2 expression and amplification compared with breast cancer.^23,36 Available evidence indicates that most of HER2-positive GCs are heterogeneous with downregulation in HER2 status post-progression on trastuzumab, as well as diverse intratumoural molecular characteristics.^37–39 Thus, the assessment of the HER-2 status just before molecular-targeted therapy could be crucial for attaining therapeutic success. Trastuzumab deruxtecan (DS-8201a) is an antibody–drug conjugate comprising a humanized antibody against HER2, a novel enzyme-cleavable linker and a topoisomerase I inhibitor payload. A preclinical study demonstrated that DS-8201a exerted a potent bystander effect because of a highly membrane-permeable payload and was beneficial in treating tumours with HER2 heterogeneity that are unresponsive to T-DM1.⁴⁰ Indeed, a phase I study of DS-8201a exhibited the antitumour activity in patients with breast cancer and AGC previously treated with T-DM1 or trastuzumab, and in patients with HER2-low tumours.⁴¹ In 44 patients with AGC, the overall response rate (ORR), the disease control rate (DCR) and the median PFS were 43.2%, 79.5% and 5.6 months, respectively.⁴² A phase II study (DESTINY-Gastric01) in Japan and South Korea assessing the safety and efficacy of DS-8201a in patients with HER2-positive AGC resistant or refractory to trastuzumab is ongoing (ClinicalTrials.gov identifier: NCT03329690).

Recently proposed novel anti-HER2 therapy, ZW25, is reportedly effective and well tolerated in patients with various HER2-positive tumours.⁴³ ZW25 is a bispecific antibody that concurrently binds two HER2 epitopes: ECD4, the trastuzumab-binding domain, and ECD2, the pertuzumab-binding domain. Preclinical research indicated that ZW25 exhibits potent antitumour activity at a range of HER2 expression levels and could more effectively silence HER2 signalling than trastuzumab or pertuzumab and stimulates the immune system. A phase I trial reported a response rate of 38% in heavily pretreated HER2-expressing tumours including GC.⁴⁴ Further assessment in HER2-positive tumours, including AGC, is ongoing.

In a preclinical study, combining anti-PD-1 and anti-HER2 therapy induce T-cell activation and augment ADCC.⁴⁵ A phase II trial of the addition of trastuzumab + pembrolizumab to the first-line CTx exhibited promising results with ORR of 87% and the median PFS of 11.4 months, which warrants further evaluation in an ongoing phase III trial (KEYNOTE811; ClinicalTrials.gov identifier: NCT03615326).

Other RTKs

Up to 60% of GC cases belong to the CIN subtype, which is commonly related to abnormalities on RTKs signalling.^9–15 Various molecular targeting drugs for HER2, EGFR, hepatocyte growth factor (HGF), MET and mammalian target of rapamycin (mTOR) have been assessed; however, most did not exhibit a significant benefit in phase III trials partly because of inappropriate patient selection and molecular stratification (Table 1). Although EGFR, MET or FGFR inhibitors have exhibited antitumour activity for patients with homogenous amplification of these RTKs genes, these cases are relatively rare.^46–48

Pearson et al. reported that AGC patients with high-level clonal FGFR2 amplification exhibit a high response rate to FGFR-1, 2, 3 tyrosine kinase inhibitor (TKI), AZD4547, whereas those with subclonal or low-level amplification did not respond.⁴⁹ A randomised phase II trial (SHINE study) of AZD4547 monotherapy versus paclitaxel for the treatment of AGC patients with FGFR2 polysomy or gene amplification reported that AZD4547 did not markedly enhance the median PFS compared with paclitaxel.⁵⁰ Exploratory biomarker analyses of the SHINE study revealed marked intratumoural heterogeneity of FGFR2 amplification and poor concordance between amplification/polysomy and FGFR2 mRNA expression, indicating that the failure to adequately enrich a clonally amplified population might contribute to the failure of this study.⁵⁰ Moreover, AGC patients with high-level FGFR2 amplification attained an objective response for TAS-120, a highly selective covalent FGFR inhibitor.⁵¹ FPA144, an ADCC-enhanced, FGFR2b isoform-specific monoclonal antibody, exhibited antitumour activity in patients with FGFR2b⁺ high (IHC 3+ ⩾10% tumour membrane staining) AGC with an ORR of 19% and a DCR of 57%, respectively. A phase III trial assessing FPA144 and mFOLFOX6 in patients with previously untreated AGC is ongoing. Recently, FGFR2–ACSL5 fusion was identified in an AGC patient with acquired resistance to FGFR inhibition in FGFR2-amplified AGC. Furthermore, JHDM1D–BRAF fusion results in resistance for FGFR inhibitor-resistant cell line, which warrants further research.^52,53

Although a phase II trial of oral EGFR TKI erlotinib reported an objective response in 4 of 44 patients with gastroesophageal junction adenocarcinoma,⁵⁴ no apparent correlation was reported between objective response and tumour biomarkers, such as IHC or FISH. To date, several phase III trials of monoclonal antibodies for EGFR had been conducted; however, no study has reported a survival benefit of phase III trials (Table 1). A subgroup analysis of the EXPAND study, in which adding cetuximab to first-line capecitabine and cisplatin CTx failed to enhance the clinical outcome in patients with AGC, reported a tendency for enhanced OS, PFS and ORR in a small population of patients with high tumour EGFR IHC scores.⁵⁵ Furthermore, Maron et al. reported that anti-EGFR treatment attained an objective response in a small population of patients with high-level EGFR amplification detected by both tissue-based NGC and ctDNA NGS.⁵⁶

The addition of HGF and c-MET signalling inhibitors (onartuzumab as anti-MET monoclonal antibody or rilotumumab as anti-HGF monoclonal antibody) to first-line CTx in MET-positive AGC detected by IHC did not exhibit clinical benefit in phase III trials,^57,58 although MET TKIs have exhibited antitumour activity in some patients with high-level MET amplification.^46,47 The lack of appropriate patient selection and molecular stratification could be one of the reasons for the failure in these trials. Considering that the amplification of RTKs does not simply correlate with the protein expression in GC,¹⁷ a comprehensive analysis using both NGC and IHC could be necessary to select patients adequately.

VEGF targeting therapy

Ramucirumab is a human IgG1 monoclonal antibody specific for vascular endothelial growth factor receptor 2 (VEGFR2), which has recently been validated to be effective for AGC by the REGARD and RAINBOW trials.^4,6 In the RAINBOW trial, which compared paclitaxel + placebo with paclitaxel + ramucirumab, patients treated with paclitaxel + ramucirumab exhibited significantly longer OS (median, 9.6 versus 7.4 months), longer PFS (median, 4.4 versus 2.9 months) and higher response rate (28% versus 16%) than those treated with paclitaxel alone. Regrettably, an optimal biomarker for antiangiogenic treatment is still lacking. A recent retrospective exploratory analysis from the REGARD study reported that none of the tested biomarkers (tumour HER2 or VEGFR2 and serum VEGF-C and VEGF-D, and soluble VEGFR1 and VEGFR3) identified a potent predictive biomarker of ramucirumab efficacy.⁵⁹ Moreover, per the exploratory plasma analyses from the RAINBOW study, neither VEGF pathway markers nor other markers revealed a predictive correlation with ramucirumab efficacy.⁶⁰ Recently, the RAINFALL phase III trial demonstrated that adding ramucirumab to first-line cisplatin/fluoropyrimidine did not exhibit enhanced OS, which also failed to exhibit the utility of plasma biomarkers, such as VEGF-C and VEGF-D.⁶¹ A phase III double-blind placebo-controlled study of regorafenib, multiple VEGF TKIs in patients with AGC is underway, which will also assess predictive biomarkers of this antiangiogenic treatment. Furthermore, apatinib is a multikinase inhibitor that primarily targets VEGFR2 and markedly enhances OS in patients with pretreated AGC, although no biomarkers were identified to predict clinical benefits.⁶²

PARP inhibitor

The GC pathogenesis is associated with DNA damage and chronic inflammation from Helicobacter pylori^63,64 and EBV infections,⁶⁵ to lifestyle factors including obesity and chronic gastric acid reflux. Large-scale genome sequencing of GC suggested that somatic mutations in genes involved in homologous recombination DNA repair are common features.^9,10

Olaparib is an oral poly (ADP-ribose) polymerase (PARP) inhibitor that blocks DNA base-excision repair and causes synthetic lethality in tumours with homologous recombination repair deficiencies. Ataxia–telangiectasia mutated (ATM) is a gene essential to the cellular double-strand DNA breaks response essential to maintain genome stability levels. In a phase II trial of olaparib combined with paclitaxel versus placebo combined with paclitaxel as second-line therapy, a higher OS benefit was noted in AGC patients with ATM-negative tumours (HR 0.35; p = 0.002).⁶⁶ Unfortunately, the phase III GOLD trial did not report improved OS with olaparib in patients with ATM-negative tumours (HR 0.73; p = 0.25) as well as overall population (HR 0.79, p = 0.026),⁶⁷ indicating that patient selection by the ATM status was not sufficient. Biomarker analysis of the GOLD study revealed that none of the other genetic markers of DNA damage repair, which have proven predictive in other tumour types for full-dose olaparib monotherapy, correlated with the sensitivity to low-dose olaparib combination with paclitaxel in patients with AGC.⁶⁸ A phase III trial comparing PARP inhibitor BGB-920 with placebo as maintenance therapy in patients with AGC who responded to first-line platinum-based CTx is under way, which would also assess the sensitivity to PARP inhibitor monotherapy from tumour specimen. Based on a preclinical study demonstrating that PARP inhibitor upregulates the PD-L1 expression on tumour cells,⁶⁹ a phase II trial of olaparib and anti-PD-L1 antibody, durvalumab, was conducted, resulting in an ORR of 10% and a DCR of 25% after 12 weeks because of a high rate of early disease progression following olaparib monotherapy for 4 weeks,⁷⁰ which will be explored in combination with CTx.

Targeting therapy for stemness-related pathway or cancer stroma

Cancer stem cells (CSCs) exhibit self-renewal capability and could contribute to malignant tumour growth, disease relapse and metastasis. Signal transducer and activator of transcription 3 (STAT3) activation is one of the hallmarks associated with cancer ‘stemness’. STAT3 acts as a transcription factor located downstream of various pro-oncogenic cytokines and JAK. Reportedly, phosphorylated STAT3 activates the transcription of Nanog and Myc genes.⁷¹ BBI608 (napabucasin) is an orally administered investigational small molecule presumed to affect multiple oncogenic cellular pathways, including the inhibition of STAT3, which has been implicated in providing CSCs with stemness characteristics.⁷¹ Encouraging the antitumour activity of BBI608 and paclitaxel in refractory AGC was observed in a phase Ib and subsequent phase II study with an ORR of 31% and a DCR of 75%.⁷² Nevertheless, a phase III trial (BRIGHTER) of BBI608 + weekly paclitaxel versus placebo + weekly paclitaxel in patients with AGC failed to improve the OS.⁷³

Reportedly, a subpopulation of gastric carcinoma cells expressing EPCAM, CD44, CD44 variant (CD44v), CD133 and CD166 exhibited the properties to generate new heterogeneous tumours in vitro.⁷⁴ Sulfasalazine is an inhibitor of the cysteine–glutamate exchange transporter, a variant form of CD44v. Sulfasalazin induces a reduction in CD44v-positive cells and intracellular reduced glutathione levels in patients with AGC.⁷⁵ However, a phase I trial of the combination of sulfasalazin with cisplatin in patients with CD44v-expressing AGC refractory to cisplatin did not exhibit an apparent antitumour activity.⁷⁶

Recently, Nanki et al. illustrated divergent genetic and epigenetic routes to gain Wnt and R-spondin niche independency in phenotype analyses of GC organoids, and a marked correlation between CDH1/TP53 compound mutations, which were also identified in the TCGA 2014 report,⁹ and R-spondin independency (Wnt-dependent GC).⁷⁷ In this study, xenografting of GC organoids established the feasibility of Wnt-targeting therapy for Wnt-dependent GC.⁷⁷ Most recently, a preclinical study reported that the Wnt receptor Fzd7 is a promising target for GC irrespective of the APC mutation status.⁷⁸

Dickkopf-1 (DKK1) is a modulator of the Wnt and PI3K–AKT signalling pathways and contributes to an immunosuppressive tumour microenvironment by activating MDSCs and regulatory T cells (Tregs). DKN-01, a monoclonal antibody against DKK1, acts on innate immune cells, and a preclinical study illustrated the upregulation of both PD-L1 and IFN-γ-related chemokines, indicating a rational for immune checkpoint combination. A phase Ib trial of DKN-01 in combination with pembrolizumab reported encouraging antitumour activity in AGC with an ORR of 23.5% and a DCR of 58.8%, which warrants further investigation.⁷⁹

MMP-9

Matrix metalloproteinases-9 (MMP-9) is an extracellular enzyme involved in matrix remodelling, angiogenesis, tumour growth and metastasis.⁸⁰ Chen et al. reported a higher expression of MMP-9 in the GC tissue than that in the adjacent healthy tissues.⁸¹ Moreover, its overexpression reportedly correlated with the poor prognosis of GC.⁸² Preclinical studies demonstrated that MMP-9 inhibition alters the tumour microenvironment, which correlates with higher CTx penetration and enhanced antitumour immunity. Andecaliximab is a monoclonal antibody that inhibits MMP-9 and has been combined with various CTx regimens. A phase I/Ib trial of mFOLFOX6+ andecaliximab revealed encouraging antitumour activity in AGC patients with the median PFS of 9.9 months in the first-line setting and the ORR of 50%.⁸³ However, a subsequent phase III study of andecaliximab combined with mFOLFOX6 in the first-line setting for patients with AGC did not markedly improve the OS.⁸⁴

Claudin 18.2

Claudin18.2 (CLDN18.2) is a member of the claudin family of >20 structurally related proteins that form vital components of the tight cell junctions in epithelia and endothelia;⁸⁵ it is not expressed in any healthy tissue, except the stomach mucosa, but broadly expressed in various cancer types including AGC, especially in diffuse-type GCs.⁸⁶ Moreover, CLDN18-ARHGAP26/6 fusions have been identified in GCs, with a predominance in GS-type tumours based on the TCGA classification.⁹ Reportedly, almost all CLDN18–ARHGAP26/6 fusion-positive GCs expressed CLDN18.2 protein with a higher prevalence of lymphatic and distant organ metastases, especially in the younger age patients.⁸⁷ Furthermore, the TCGA data demonstrated that the CLDN18–ARHGAP26/6 fusion was mutually exclusive with driver genes, such as RHOA and CDH1 mutations, which were frequently noted in GS-type tumours.⁹

IMAB362 (zolbetuximab) is a novel chimeric IgG1 antibody highly specific for CLDN18.2; it binds to CLDN18.2 on the tumour cell surface to stimulate cellular and soluble immune effectors that activate antibody-dependent cytotoxicity and complement-dependent cytotoxicity.⁸⁸ A phase II study (MONO) demonstrated the efficacy and safety of IMAB362 as monotherapy in patients with metastatic, refractory or recurrent GC.⁸⁹ Among 40 patients who received IMAB362 600 mg/m², the ORR was 10% and the DCR was 30%. A randomized phase II study (FAST) demonstrated that IMAB362 in combination with first-line CTx exhibited clinically relevant benefit in the PFS and OS in patients with CLDN18.2-positive AGC:⁹⁰ IMAB362 + EOX significantly enhanced the PFS (median 7.9 versus 4.8 months; HR 0.47; p = 0.0001) and OS (median 13.3 versus 8.4 months; HR 0.51; p < 0.001) compared with EOX alone. A subgroup analysis revealed that the CLDN18.2 expression in ⩾70% of tumour cells correlated with better OS (HR, 0.44), resulting in further patient enrichment (⩾75% of tumour cells) in an ongoing phase III study (Spotlight), which assesses the efficacy of IMAB362 + mFOLFOX6 compared with placebo + mFOLFOX6 as first-line CTx. Reportedly, high claudin18.2 expression (⩾75% of tumour cells) was detected in 36% of patients with AGC.⁹⁰

Recently, a preclinical study indicated that partial or complete tumour elimination was observed in CLDN18.2-positive GC patient-derived tumour xenograft models treated with CLDN18.2-specific CAR T cells.⁹¹ A first-in-class CAR-Claudin18.2 T cell trial for the treatment of gastric and pancreatic cancer is ongoing. Overall, CLDN18.2 is a promising novel treatment target for IMAB362 combined with first-line CTx and CLDN18.2-specific CAR T cells in patients with AGC.

Immune checkpoint inhibitors and its biomarkers

Recently, blockade of immune checkpoint molecules with monoclonal antibodies has emerged as a promising strategy in several malignancies.^92–97 PD-1, which belongs to the CD28 family of proteins, is a negative costimulatory receptor expressed on the surface of activated T cells.⁹⁸ The binding of PD-1 and its ligands, PD-L1 and PD-L2 in tumour or immune cells, can inhibit a cytotoxic T-cell response, which leads tumour cells to escape from immune surveillance.⁹⁸ Accordingly, the blockade of this interaction restores the antitumour activity of T cells.⁹⁸ Clinical trials of anti-PD-1/PD-L1 monoclonal antibodies have reported durable antitumour response and enhanced OS in several malignancies.^92–97

A phase III ATTRACTION-2 trial of nivolumab, a fully human IgG4 monoclonal antibody against PD-1, for patients with AGC after two or more previous line CTxs demonstrated a survival benefit, resulting in the approval of nivolumab for AGC in Japan as third-line or later-line treatment.⁷ However, subsequent randomized trial of anti-PD1/PD-L1 in earlier trials failed to exhibit a survival benefit compared with standard CTx; thus, better treatment selection is warranted to use anti-PD1/PD1 in earlier treatment lines.

PD-L1 expression

An exploratory analysis of ATTRACTION-2 indicated no predictive value of PD-L1 expression on tumour cells.⁷ Moreover, in JAVELIN 300, which recently failed to establish a survival benefit for avelumab compared with the investigators’ choice of CTx with paclitaxel or irinotecan for patients with AGC, no difference was observed in the OS based on the PD-L1 expression, which was defined as PD-L1 staining on 1% of tumour cells.⁹⁹ Results remained the same when PD-L1 was also assessed on immune cells, although the methodology for this assessment is not described. However, a correlation between higher PD-L1 expression [using the combined positive score (CPS), which is a proportional assessment of PD-L1 staining on both tumour and immune cells] and higher treatment effect was suggested in phase II (KEYNOTE-059) and III trials (KEYNOTE-061) of pembrolizumab.^96,100 In KEYNOTE-059, the ORR in the third-line setting was 22.7% for patients with PD-L1 expression (CPS ⩾1) as determined by 22C3 IHC assay, whereas the ORR was 8.6% for those with PD-L1-negative tumours, resulting in US Food and Drug Administration (FDA) approval of pembrolizumab for PD-L1-positive AGC and PD-L1 22C3 IHC as a companion diagnostic assay.⁹⁶ Although KEYNOTE-061 failed to demonstrate improvement in the OS with pembrolizumab in CPS ⩾1 population, patients who expressed high levels of PD-L1 (CPS ⩾10) exhibited a pronounced benefit from treatment with pembrolizumab (HR 0.64; 95% CI 0.41–1.02).¹⁰⁰ The ORRs of pembrolizumab in patients with CPS ⩾10, CPS ⩾1 and CPS <1 (PD-L1-negative) were 25%, 16% and 2%, respectively.³⁶ The impact of CPS on the efficacy of PD-1 blockade will also be assessed in the ongoing phase III trial (KEYNOTE-062), which compared the efficacy of cytotoxic agents combined with pembrolizumab with that of cytotoxic agents and pembrolizumab monotherapy in patients with untreated AGC (ClinicalTrials.gov identifier: NCT02494583). This study might offer some insights into how to select patients for single-agent immunotherapy or combination with CTx.

In the AGC cohort of CheckMate-032,¹⁰¹ the ORR was the highest with 1 mg/kg nivolumab + 3 mg/kg ipilimumab (24%), relative to 3 mg/kg nivolumab (12%) or 3 mg/kg nivolumab + 1 mg/kg ipilimumab (8%) cohorts. The ORR seemed numerically higher in patients with PD-L1-positive on tumour cells (⩾1% PD-L1 staining of tumour cell membranes) than PD-L1-negative responses. Other combinations therapy might be necessary to enhance outcomes in PD-L1 negative patients.

MSI-H

As shown in the TCGA 2014 and ACRG 2015 reports, the MSI-H subtype exhibits frequent mutations in multiple genes (including frameshifts or missense mutations) and hypermethylation (including hypermethylation at the MLH1 promoter), which contribute to the enhanced expression of neoantigens. MSI-H/MMR-D colorectal cancer has higher mutation loads than that of MSS/MMR proficient (MMR-P) colorectal cancer, resulting in high infiltration of CD8+ T cells presumably because of the recognition of a high number of tumour neoantigens and its corresponding expression of immune checkpoints in the tumour microenvironment.¹⁰² Indeed, the FDA approved pembrolizumab for patients with MSI-H or MMR-D solid tumours, including AGC based on the durable response in several trials.^103–105

Recently, pembrolizumab for patients with MSI-H/MMR-D solid tumours was approved in Japan also. In a phase II KEYNOTE-158 trial of pembrolizumab demonstrating that the ORR was 37.2% for 94 patients with MSI-H/MMR-D noncolorectal solid tumours, including patients in Japan, 6 of 13 patients with AGC attained an objective response (ORR 46.2%). Moreover, a subgroup analysis of KEYNOTE-059 and KEYNOTE-061 revealed that the ORR was 57.1% and 46.7% for patients with MSI-H/MMR-D AGC, respectively.^96,100 Based on this evidence, Pan-Asian adapted the ESMO Clinical Practice Guidelines for the management of patients with metastatic GC and recommended that pembrolizumab or nivolumab could be a treatment option for patients with MSI-H/MMR-D AGC in second-line settings.¹⁰⁶

Other factors to predict response

As patients with MSI-H/MMR-D form a small minority of AGC patients, novel biomarkers to predict response to immunotherapy among MSS/MMR-P are desired. A recent study reported that tumour mutation burden (TMB) correlated with enhanced survival in patients receiving immune checkpoint inhibitors across multiple cancer types.¹⁰⁷ Moreover, Kim et al. reported that TMB was a potential biomarker of pembrolizumab for AGC.¹⁰⁸ However, most patients with high TMB had MSI-H/MMR-D status, and not all patients with high TMB attained an objective response.¹⁰⁸ Hence, the precise mechanism regarding the impact of TMB on the efficacy of PD-1/PD-L1 blockade should be investigated in the near future. The TCGA reported that the amplification of the CD274 gene (which encodes PD-L1) and the PDCD1LG2 gene (which encodes PD-L2) was frequently observed in EBV-positive GC.⁹ Indeed, AGC patients with EBV-positive status reported derived higher benefit from pembrolizumab.¹⁰⁸ Notably, Panda et al. reported that a patient with EBV-positive AGC exhibited durable response from treatment with the anti-PD-L1 antibody avelumab, although this tumour had low mutation burden.¹⁰⁹ A study recently reported that the ORR of nivolumab for AGC after two or more CTx regimens was significantly higher in patients with MMR-D than in those with MMR-P (75% versus 13%), PD-L1+ in tumour cells than in those with PD-L1- in tumour cells (57% versus 13%) and PIK3CA mutation in those with PIK3CA wild-type (44% versus 14%).¹¹⁰ Remarkably, the ORR was 31% in patients with, at least, one of the following factors: MMR-D, high-TMB, EBV-positive and PD-L1+ in tumour cells versus 0% in those without these factors, suggesting that prescreening of these biomarkers could be useful in predicting the clinical benefit of the anti-PD-1/PD-L1 blockade in AGC. Moreover, the diversity and composition of gut microbiome reportedly predicts the effect of PD-1 blockade in patients with AGC.¹¹¹ A recent subgroup analysis of ATTRACTION-2 indicated that patients with hyponatraemia along with high neutrophil-to-lymphocyte ratio might exhibit low benefit with nivolumab in terms of early progression and death.¹¹²

Controversy in hyperprogressive disease

Recently, anti-PD-1/PD-L1 antibodies have anecdotally been reported to cause rapid progression of some cancer types, which is called hyperprogressive disease (HPD),^113–116 although its exact incidence in GC remains unclear. As HPD, perhaps, correlates with poor prognoses, it is imperative to identify predictive factors of HPD. Kato et al. identified EGFR mutations and MDM2 amplification as possible molecular predictors of HPD in patients with several solid tumours.¹¹⁵ Reportedly, FBXW7 mutation or KRAS amplification could be related to HPD in patients with AGC who received nivolumab.¹¹⁷ Recently, Togashi et al. reported an increase in Tregs with proliferative capacity among tumour-infiltrating lymphocytes in AGC patients who exhibited HPD after treatment with an anti-PD-1 antibody.¹¹⁸ Moreover, an in vitro study reported that PD-1 blockade activated not only effector T cells but also Tregs, which promoted tumour progression in a fraction of patients.¹¹⁸ Further investigations in larger cohorts are warranted to validate HPD-associated biomarkers. Recently, Lo Russo et al. illustrated the role of innate immunity in mediating hyperprogression via Fc/FcR triggering on macrophages by anti-PD-1 antibody.¹¹⁹ A previous in vivo study reported that selective inhibition of the VEGF pathway with an anti-VEGF antibody or anti-VEGF TKIs effectively controlled tumour growth and inhibited the infiltration of suppressive immune cells such as Tregs and tumour-associated macrophages, myeloid-derived suppressor cells, while increasing the mature dendritic cell fraction.¹²⁰ In addition, heat shock protein 90 (HSP90) inhibitor reportedly enhance antitumour immunity by decreasing Tregs in vitro and in vivo. Based on these preclinical rational, clinical trials of anti-PD1 antibodies in combination with multiple VEGF TKIs or HSP90 inhibitor are under way, which might not only enhance antitumour activity but also reduce HPD.

Conclusions

Remarkable advances in elucidating molecular profiles of GC have facilitated the development of novel agents such as RTKs inhibitors, antibody–drug conjugates and IMAB362 (anti-Claudin 18.2). In addition, developing appropriate biomarkers for patient selection in early clinical trials could lead to successful results of pivotal clinical trials of new drugs. Considering that the apparent efficacy of PD-1 blockade might be limited to a relatively small subset of AGC patients and some patients exhibit HPD, better biomarkers of immune checkpoint inhibitors or combination therapy should be established in the near future.

Footnotes

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest statement

KS reports providing a consulting or advisory role for Astellas, Bristol-Myers Squibb, Lilly, Ono, Pfizer and Takeda; receiving personal fees from AbbVie, Novartis and Yakult and research funding from Chugai, Daiichi Sankyo, Lilly, MSD, Ono, Sumitomo Dainippon and Taiho. AK reports receiving research funding from Ono, Sumitomo Dainippon and Taiho. AK reports receiving research funding from Ono, Sumitomo Dainippon and Taiho. AK reports receiving research funding from Ono, Sumitomo Dainippon and Taiho.

References

Ferlay

Soerjomataram

Dikshit

et al . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015; 136: e359–e386.

Koizumi

Narahara

Hara

et al . S-1 plus cisplatin versus S-1 alone for first-line treatment of advanced gastric cancer (SPIRITS trial): a phase III trial. Lancet Oncol 2008; 9: 215–221.

Cunningham

Starling

Rao

et al . Capecitabine and oxaliplatin for advanced esophagogastric cancer. N Engl J Med 2008; 358: 36–46.

Wilke

Muro

Van Cutsem

et al . Ramucirumab plus paclitaxel versus placebo plus paclitaxel in patients with previously treated advanced gastric or gastro-oesophageal junction adenocarcinoma (RAINBOW): a double-blind, randomised phase 3 trial. Lancet Oncol 2014; 15: 1224–1235.

Janowitz

Thuss-Patience

Marshall

et al . Chemotherapy vs supportive care alone for relapsed gastric, gastroesophageal junction, and oesophageal adenocarcinoma: a meta-analysis of patient-level data. Br J Cancer 2016; 114: 381–387.

Fuchs

Tomasek

Yong

et al . Ramucirumab monotherapy for previously treated advanced gastric or gastro-oesophageal junction adenocarcinoma (REGARD): an international, randomised, multicentre, placebo-controlled, phase 3 trial. Lancet 2014; 383: 31–39.

Kang

Boku

Satoh

et al . Nivolumab in patients with advanced gastric or gastro-oesophageal junction cancer refractory to, or intolerant of, at least two previous chemotherapy regimens (ONO-4538–12, ATTRACTION-2): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 2017; 390: 2461–2471.

Shitara

Doi

Dvorkin

et al . Trifluridine/tipiracil versus placebo in patients with heavily pretreated metastatic gastric cancer (TAGS): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol 2018; 19: 1437–1448.

The Cancer Genome Atlas Research Network. Comprehensive molecular characterization of gastric adenocarcinoma. Nature 2014; 513: 202–209.

10.

Cristescu

Lee

Nebozhyn

et al . Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat Med 2015; 21: 449–456.

11.

Xing

et al . Distinct subtypes of gastric cancer defined by molecular characterization include novel mutational signatures with prognostic capability. Cancer Res 2016; 76: 1724–1732.

12.

Kakiuchi

Nishizawa

Ueda

et al . Recurrent gain of function mutations of RHOA in diffuse-type gastric carcinoma. Nat Genet 2014; 46: 583–587.

13.

Wong

Kim

Ting

et al . Genomic landscape and genetic heterogeneity in gastric adenocarcinoma revealed by whole-genome sequencing. Nat Commun 2014; 5: 5477.

14.

Chen

Yang

et al . Mutational landscape of gastric adenocarcinoma in Chinese: implications for prognosis and therapy. Proc Natl Acad Sci USA 2015; 112: 1107–1112.

15.

Deng

Goh

Wang

et al . A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets. Gut 2012; 61: 673–684.

16.

Kwak

Ahronian

Siravegna

et al . Molecular heterogeneity and receptor coamplification drive resistance to targeted therapy in MET amplified esophagogastric cancer. Cancer Discov 2015; 5: 1271–1281.

17.

Kuboki

Yamashita

Niwa

et al . Comprehensive analyses using next-generation sequencing and immunohistochemistry enable precise treatment in advanced gastric cancer. Ann Oncol 2016; 27: 127–133.

18.

Nagatsuma

Aizawa

Kuwata

et al . Expression profiles of HER2, EGFR, MET and FGFR2 in a large cohort of patients with gastric adenocarcinoma. Gastric Cancer 2015; 18: 227–238.

19.

Liu

Sethi

Hinoue

et al . Comparative molecular analysis of gastrointestinal adenocarcinomas. Cancer Cell 2018; 33: 721–735.

20.

Yuki

Shitara

Kadowaki

et al . The nationwide cancer genome screening project in Japan SCRUM-Japan GI-SCREEN: efficient identification of cancer genome alterations in advanced gastric cancer (GC). J Clin Oncol 2018; 36: abstract 4050.

21.

Kawazoe

Shitara

Kuboki

et al . Clinicopathological features of 22C3 PD-L1 expression with mismatch repair, Epstein–Barr virus status, and cancer genome alterations in metastatic gastric cancer. Gastric Cancer 2019; 22: 69–76.

22.

Latham

Srinivasan

Kemel

et al . Microsatellite instability is associated with the presence of Lynch syndrome pan-cancer. J Clin Oncol 2019; 37: 286–295.

23.

Stahl

Seeschaaf

Lebok

et al . Heterogeneity of amplification of HER2, EGFR, CCND1 and MYC in gastric cancer. BMC Gastroenterol 2015; 15: 7.

24.

Pectasides

Stachler

Derks

et al . Genomic heterogeneity as a barrier to precision medicine in gastroesophageal adenocarcinoma. Cancer Discov 2018; 8: 37–48.

25.

Kim

Banks

Pectasides

et al . Impact of genomic alterations on lapatinib treatment outcome and cell-free genomic landscape during HER2 therapy in HER2+ gastric cancer patients. Ann Oncol 2018; 29: 1037–1048.

26.

Kato

Okamura

Baumqartner

et al . Analysis of circulating tumor DNA and clinical correlates in patients with esophageal, gastroesophageal junction, and gastric adenocarcinoma. Clin Cancer Res 2018; 24: 6248–6256.

27.

Riches

Schultz

et al . Genomic profiling of esophagogastric (EG) tumors in clinical practice. J Clin Oncol 2015; 33(Suppl. 3): abstract 57.

28.

Secrier

de Silva

et al . Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance. Nat Genet 2016; 48: 1131–1141.

29.

Bang

Van Cutsem

Feyereislova

et al . Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial. Lancet 2010; 376: 687–697.

30.

Kim

Banks

Pectasides

et al . Impact of genomic alterations on lapatinib treatment outcome and cell-free genomic landscape during HER2 therapy in HER2+ gastric cancer patients. Ann Oncol 2018; 29: 1037–1048.

31.

Janjigian

Sanchez-Vega

Jonsson

et al . Genetic predictors of response to systemic therapy in esophagogastric cancer. Cancer Discov 2018; 8: 49–58.

32.

Lee

Hong

Kim

et al . The impact of concomitant genomic alterations on treatment outcome for trastuzumab therapy in HER2-positive gastric cancer. Sci Rep 2018; 29: 1037–1048.

33.

Sanchez-Vega

Hechtman

Castel

et al . EGFR and MET amplifications determine response to HER2 inhibition in ERBB2-amplified esophagogastric cancer. Cancer Discov 2019; 9: 199–209.

34.

Catenacci

Park

Uronis

et al . Biomarker-guided enrichment of the antitumor activity of margetuximab (M) plus pembrolizumab (P) in patients with advanced HER2+ gastric adenocarcinoma. Ann Oncol 2018; 29(Suppl. 8): viii205–viii270.

35.

Kang

Shah

Ohtsu

et al . A randomized, open-label, multicenter, adaptive phase 2/3 study of trastuzumab emtansine (T-DM1) versus a taxane (TAX) in patients (pts) with previously treated HER2-positive locally advanced or metastatic gastric/gastroesophageal junction adenocarcinoma (LA/MGC/GEJC). J Clin Oncol 2016; 34(Suppl. 4S): abstract 5.

36.

Ruschoff

Hanna

Bilous

et al . HER2 testing in gastric cancer: a practical approach. Mod Pathol 2012; 25: 637–650.

37.

Lee

Hong

Kim

et al . The impact of concomitant genomic alterations on treatment outcome for trastuzumab therapy in HER2-positive gastric cancer. Sci Rep 2015; 5: 9289.

38.

Press

Ellis

Gagnon

et al . HER2 status in advanced or metastatic gastric, esophageal, or gastroesophageal adenocarcinoma for entry to the TRIO-013/LOGiC trial of lapatinib. Mol Cancer Ther 2017; 16: 228–238.

39.

Janjigian

Sanchez-Vega

Jonsson

et al . Genetic predictors of response to systemic therapy in esophagogastric cancer. Cancer Discov 2018; 8: 49–58.

40.

Ogitani

Aida

Hagihara

et al . DS-8201a, A novel HER2-targeting ADC with a novel DNA topoisomerase I inhibitor, demonstrates a promising antitumor efficacy with differentiation from T-DM1. Clin Cancer Res 2016; 22: 5097–5108.

41.

Doi

Shitara

Naito

et al . Safety, pharmacokinetics, and antitumour activity of trastuzumab deruxtecan (DS-8201), a HER2-targeting antibody-drug conjugate, in patients with advanced breast and gastric or gastro-oesophageal tumours: a phase 1 dose-escalation study. Lancet Oncol 2017; 18: 1512–1522.

42.

Shitara

Iwata

Takahashi

et al . Trastuzumab deruxtecan (DS-8201a) in patients with advanced HER2-positive gastric cancer: a dose-expansion, phase 1 study. Lancet Oncol 2017; 18: 1512–1522.

43.

Funda

Murali

Jose

et al . Single agent activity of ZW25, a HER2-targeted bispecific antibody, in heavily pretreated HER2-expressing cancers. J Clin Oncol 2018; 36: abstract 2500.

44.

Beeram

Hamilton

Hanna

et al . Single agent activity of ZW25, a HER2-targeted bispecific antibody, in HER2-expressing gastroesophageal and other cancers. Molecular Targets and Cancer Therapeutics (ENA2018). Paper presented at the 30th EORTC-NCI-AACR Symposium, 13–16 November 2018, Dublin.

45.

Janjigian

Chou

Simmons

et al . First-line pembrolizumab (P), trastuzumab (T), capecitabine (C) and oxaliplatin (O) in HER2-positive metastatic esophagogastric adenocarcinoma (mEGA). J Clin Oncol 2019; 37(Suppl. 4): abstract 62.

46.

Kwak

LoRusso

Hamid

et al . Clinical activity of AMG 337, an oral MET kinase inhibitor, in adult patients (pts) with MET-amplified gastroesophageal junction (GEJ), gastric (G), or esophageal (E) cancer [abstract]. J Clin Oncol 2015; 33(Suppl. 3): abstract 1.

47.

Shitara

Kim

Yokota

et al . Phase I dose-escalation study of the c-Met tyrosine kinase inhibitor SAR125844 in Asian patients with advanced solid tumors, including patients with MET-amplified gastric cancer. Oncotarget 2017; 8: 79546–79555.

48.

Smyth

Turner

Peckitt

et al . Phase II multicenter proof of concept study of AZD4547 in FGFR amplified tumours. J Clin Oncol 2015; 33: abstract 2508.

49.

Pearson

Smyth

Babina

et al . High-level clonal FGFR amplification and response to FGFR inhibition in a translational clinical trial. Cancer Discov 2016; 6: 838–851.

50.

Van Cutsem

Bang

Mansoor

et al . A randomized, open-label study of the efficacy and safety of AZD4547 monotherapy versus paclitaxel for the treatment of advanced gastric adenocarcinoma with FGFR2 polysomy or gene amplification. Ann Oncol 2017; 28: 1316–1324.

51.

Kuboki

Matsumura

Bando

et al . First-in-human (FIH) study of TAS-120, a highly selective covalent oral fibroblast growth factor receptor (FGFR) inhibitor, in patients (pts) with advanced solid tumors. Ann Oncol 2017; 28(Suppl. 5): v122–v141.

52.

Sase

Nakanishi

Aida

et al . Acquired JHDM1D-BRAF fusion confers resistance to FGFR inhibition in FGFR2-amplified gastric cancer. Mol Cancer Ther 2018; 17: 2217–2225.

53.

Kim

Ahn

Bang

et al . Acquired resistance to LY2874455 in FGFR2-amplified gastric cancer through an emergence of novel FGFR2-ACSL5 fusion. Oncotarget 2017; 8: 15014–15022.

54.

Dragovich

McCoy

Fenoglio-Preiser

et al . Phase II trial of erlotinib in gastroesophageal junction and gastric adenocarcinomas: SWOG 0127. J Clin Oncol 2006; 24: 4922–4927.

55.

Lordick

Kang

Salman

et al . Clinical outcome according to tumor HER2 status and EGFR expression in advanced gastric cancer patients from the EXPAND study. J Clin Oncol 2013; 31: abstract 4021.

56.

Maron

Alpert

Kwak

et al . Targeted therapies for targeted populations: anti-EGFR treatment for EGFR-amplified gastroesophageal adenocarcinoma. Cancer Discov 2018; 8: 696–713.

57.

Shah

Bang

Lordick

et al . Effect of fluorouracil, leucovorin, and oxaliplatin with or without onartuzumab in HER2-negative, MET-positive gastroesophageal adenocarcinoma: the METGastric randomized clinical trial. JAMA Oncol 2017; 3: 620–627.

58.

Catenacci

DVT

Tebbutt

Davidenko

et al . Rilotumumab plus epirubicin, cisplatin, and capecitabine as first-line therapy in advanced MET-positive gastric or gastro-oesophageal junction cancer (RILOMET-1): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol 2017; 18: 1467–1482.

59.

Fuchs

Tabemero

Tomasek

et al . Biomarker analyses in REGARD gastric/GEJ carcinoma patients treated with VEGFR2-targeted antibody ramucirumab. Br J Cancer 2016; 115: 974–982.

60.

Van Cutsem

Muro

Cunningham

et al . Biomarker analyses of second-line ramucirumab in patients with advanced gastric cancer from RAINBOW, a global, randomized, double-blind, phase 3 study. Ann Oncol 2016; 27(Suppl. 2): ii118–ii128.

61.

Fuchs

Shitara

Di Bartolomeo

et al . Ramucirumab with cisplatin and fluoropyrimidine as first-line therapy in patients with metastatic gastric or junctional adenocarcinoma (RAINFALL): a double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Oncol 2019; 20: 420–435.

62.

Qin

et al . Randomized, double-blind, placebo-controlled phase III trial of apatinib in patients with chemotherapy-refractory advanced or metastatic adenocarcinoma of the stomach or gastroesophageal junction. J Clin Oncol 2016; 34: 1448–1454.

63.

Marshall

Warren

JR.

Unidentified curved bacilli in the stomach of patients with gastritis and peptic ulceration. Lancet 1984; 1: 1311–1314.

64.

Uemura

Okamoto

Yamamoto

et al . Helicobacter pylori infection and the development of gastric cancer. N Engl J Med 2001; 345: 784–789.

65.

Kusano

Toyota

Suzuki

et al . Genetic, epigenetic, and clinicopathologic features of gastric carcinomas with the CpG island methylator phenotype and an association with Epstein–Barr virus. Cancer 2006; 106: 1467–1479.

66.

Bang

Lee

et al . Randomized, double-blind phase II trial with prospective classification by ATM protein level to evaluate the efficacy and tolerability of olaparib plus paclitaxel in patients with recurrent or metastatic gastric cancer. J Clin Oncol 2015; 33: 3858–3865.

67.

Bang

Chin

et al . Olaparib in combination with paclitaxel in patients with advanced gastric cancer who have progressed following first-line therapy (GOLD): a double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Oncol 2017; 18: 1637–1651.

68.

Liu

Hodgson

Locker

et al . Olaparib plus paclitaxel sensitivity in biomarker subgroups of gastric cancer. Ann Oncol 2018; 29(Suppl. 8): viii14–viii57.

69.

Jiao

Xia

Yamaguchi

et al . PARP inhibitor upregulates PD-L1 expression and enhances cancer-associated immunosuppression. Clin Cancer Res 2017; 23: 3711–3720.

70.

Bang

Kaufman

Geva

et al . An open-label, phase II basket study of olaparib and durvalumab (MEDIOLA): results in patients with relapsed gastric cancer. J Clin Oncol 2019; 37: abstract 140.

71.

Rogoff

Keates

et al . Suppression of cancer relapse and metastasis by inhibiting cancer stemness. Proc Natl Acad Sci USA 2015; 112: 1839–1844.

72.

Becerra

Stephenson

Jonker

et al . Phase Ib/II study of cancer stem cell (CSC) inhibitor BBI608 combined with paclitaxel in advanced gastric and gastroesophageal junction (GEJ) adenocarcinoma. J Clin Oncol 2015; 33: abstract 4069.

73.

Shah

Muro

Shitara

et al . The BRIGHTER trial: A phase III randomized double-blind study of BBI608 + weekly paclitaxel versus placebo (PBO) + weekly paclitaxel in patients (pts) with pretreated advanced gastric and gastro-esophageal junction (GEJ) adenocarcinoma. J Clin Oncol 2017; 33: abstract 4010.

74.

Nguyen

Giraud

Chambonnier

et al . Characterization of biomarkers of tumorigenic and chemoresistant cancer stem cells in human gastric carcinoma. Clin Cancer Res 2017; 23: 1586–1597.

75.

Shitara

Doi

Nagano

et al . Dose-escalation study for the targeting of CD44v+ cancer stem cells by sulfasalazine in patients with advanced gastric cancer (EPOC1205). Gastric Cancer 2017; 20: 341–349.

76.

Shitara

Doi

Nagano

et al . Phase 1 study of sulfasalazine and cisplatin for patients with CD44v-positive gastric cancer refractory to cisplatin (EPOC1407). Gastric Cancer 2017; 20: 1004–1009.

77.

Nanki

Toshimitsu

Takano

et al . Divergent routes toward Wnt and R-spondin niche independency during human gastric carcinogenesis. Cell 2018; 174: 856–869.

78.

Flanagan

Barker

Costanzo

NSD

et al . Frizzled-7 is required for Wnt signaling in gastric tumors with and without Apc mutations. Cancer Res 2019; 79: 970–981.

79.

Klempner

Bendell

Meucci Villaflor

et al . Safety and efficacy of a DKK1 inhibitor (DKN-01) in combination with pembrolizumab (P) in patients (Pts) with advanced gastroesophageal (GE) malignancies. Ann Oncol 2018; 29: mdy282–044.

80.

Coussens

Fingleton

Matrisian

LM.

Matrix metalloproteinase inhibitors and cancer: trials and tribulations. Science 2002; 295: 2387–2392.

81.

Chen

Yao

Zhu

et al . Expression levels of matrix metalloproteinase-9 in human gastric carcinoma. Oncol Lett 2015; 9: 915–919.

82.

Zhang

Liu

Chen

et al . Matrix metalloproteinase-9 as a prognostic factor in gastric cancer: a meta-analysis. Asian Pac J Cancer Prev 2012; 13: 2903–2908.

83.

Shah

Starodub

Sharma

et al . Andecaliximab/GS-5745 alone and combined with mFOLFOX6 in advanced gastric and gastroesophageal junction adenocarcinoma: results from a phase I study. Clin Cancer Res 2018; 24: 3829–3837.

84.

Shah

Ruiz

Bodoky

et al . A phase 3, randomized, double-blind, placebo-controlled study to evaluate the efficacy and safety of andecaliximab combined with mFOLFOX6 as first-line treatment in patients with advanced gastric or gastroesophageal junction adenocarcinoma (GAMMA-1). J Clin Oncol 2019; 37(Suppl. 4): abstract 4.

85.

Niimi

Nagashima

Ward

et al . claudin-18, a novel downstream target gene for the T/EBP/NKX2.1 homeodomain transcription factor, encodes lung- and stomach-specific isoforms through alternative splicing. Mol Cell Biol 2001; 21: 7380–7390.

86.

Sahin

Koslowski

Dhaene

et al . Claudin-18 splice variant 2 is a pan-cancer target suitable for therapeutic antibody development. Clin Cancer Res 2008; 14: 7624–7634.

87.

Tanaka

Ishikawa

Ushiku

et al . Frequent CLDN18-ARHGAP fusion in highly metastatic diffuse-type gastric cancer with relatively early onset. Oncotarget 2018; 9: 29336–29350.

88.

Singh

Toom

Huang

Anti-claudin 18.2 antibody as new targeted therapy for advanced gastric cancer. J Hematol Oncol 2017; 10: 105.

89.

Trarbach

Schuler

Zvirbule

et al . Efficacy and safety of multiple doses of IMAB362 in patients with advanced gastroesophageal cancer: results of a phase II study. Ann Oncol 2014; 25(4 Suppl.): iv218.

90.

Al-Batran

Schuler

Zvirbule

et al . FAST: an international, multicenter, randomized, phase II trial of epirubicin, oxaliplatin, and capecitabine (EOX) with or without IMAB362, a first-in-class anti-CLDN18.2 antibody, as first-line therapy in patients with advanced CLDN18.2+ gastric and gastroesophageal junction (GEJ) adenocarcinoma. J Clin Oncol 2016; 34: LBA4001.

91.

Jiang

Shi

Wang

et al . Claudin18.2-specific chimeric antigen receptor engineered T cells for the treatment of gastric cancer. J Natl Cancer Inst. Epub ahead of print 2018. DOI: 10.1093/jnci/djy134.

92.

Topalian

Hodi

Brahmer

et al . Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med 2012; 366: 2443–2454.

93.

Robert

Long

Brady

et al . Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med 2015; 372: 320–330.

94.

Reck

Rodríguez-Abreu

Robinson

et al . Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. N Engl J Med 2016; 375: 1823–1833.

95.

Herbst

Baas

Kim

et al . Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial. Lancet 2016; 387: 1540–1550.

96.

Charles

Doi

Raymond

WJJ

et al . KEYNOTE-059 cohort 1: efficacy and safety of pembrolizumab (pembro) monotherapy in patients with previously treated advanced gastric cancer. J Clin Oncol 2017; 35: abstract 4003.

97.

Motzer

Escudier

McDermott

et al . Nivolumab versus everolimus in advanced renal-cell carcinoma. N Engl J Med 2015; 373: 1803–1813.

98.

Pardoll

DM.

The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer 2012; 12: 252–264.

99.

Bang

Ruiz

Van Cutsem

et al . Phase III, randomised trial of avelumab versus physician’s choice of chemotherapy as third-line treatment of patients with advanced gastric or gastro-oesophageal junction cancer: primary analysis of JAVELIN Gastric 300. Ann Oncol 2018; 29: 2052–2060.

100.

Shitara

Ozguroglu

Bang

et al . Pembrolizumab versus paclitaxel for previously treated, advanced gastric or gastro-oesophageal junction cancer (KEYNOTE-061): a randomised, open-label, controlled, phase 3 trial. Lancet 2018; 392: 123–133.

101.

Janjigian

Bendell

Calvo

et al . CheckMate-032 study: efficacy and safety of nivolumab and nivolumab plus ipilimumab in patients with metastatic esophagogastric cancer. J Clin Oncol 2018; 36: 2836–2844.

102.

Llosa

Cruise

Tam

et al . The vigorous immune microenvironment of microsatellite instable colon cancer is balanced by multiple counter-inhibitory checkpoints. Cancer Discov 2015; 5: 43–51.

103.

Uram

Wang

et al . PD-1 Blockade in tumors with mismatch-repair deficiency. N Engl J Med 2015; 372: 2509–2520.

104.

Durham

Smith

et al . Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017; 357: 409–413.

105.

Diaz

Jr Marabelle

Delord

et al . Pembrolizumab therapy for microsatellite instability high (MSI-H) colorectal cancer (CRC) and non-CRC. J Clin Oncol 2017; 35: abstract 3071.

106.

Muro

Van Cutsem

Narita

et al . Pan-Asian adapted ESMO Clinical Practice Guidelines for the management of patients with metastatic gastric cancer; a JSMO-ESMO initiative endorsed by CSCO, KSMO, MOS, SSO and TOS. Ann Oncol 2019; 30: 19–33.

107.

Samstein

Lee

Shoushtari

et al . Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nat Genet 2019; 51: 202–206.

108.

Kim

Cristescu

Bass

et al . Comprehensive molecular characterization of clinical responses to PD-1 inhibition in metastatic gastric cancer. Nat Med 2018; 24: 1449–1458.

109.

Panda

Mehnert

Hirshfield

et al . Immune activation and benefit from avelumab in EBV-positive gastric cancer. J Natl Cancer Inst 2018; 110: 316–320.

110.

Mishima

Kawazoe

Nakamura

et al . Clinicopathological and molecular features of responders to nivolumab for patients with advanced gastric cancer. J Immunother Cancer 2019; 7: 24.

111.

Fukuoka

Motooka

Togashi

et al . Association of gut microbiome with immune status and clinical response in solid tumor patients who received on anti-PD-1 therapies. J Clin Oncol 2018; 36: 3011.

112.

Kang

Satoh

Chao

Evaluation of efficacy of nivolumab by baseline factors from ATTRACTION-2. J Clin Oncol 2019; 37(Suppl. 4): abstract 8.

113.

Champiat

Dercle

Ammari

et al . Hyperprogressive disease is a new pattern of progression in cancer patients treated by anti-PD-1/PD-L1. Clin Cancer Res 2017; 23: 1920–1928.

114.

Saada-Bouzid

Defaucheux

Karabajakian

et al . Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinoma. Ann Oncol 2017; 28: 1605–1611.

115.

Kato

Goodman

Walavalkar

et al . Hyperprogressors after immunotherapy: analysis of genomic alterations associated with accelerated growth rate. Clin Cancer Res 2017; 23: 4242–4250.

116.

Kurman

Murgu

SD.

Hyperprogressive disease in patients with non-small cell lung cancer on immunotherapy. J Thorac Dis 2018; 10: 1124–1128.

117.

Sasaki

Nakamura

Mishima

et al . Predictive factors for hyperprogression during nivolumab treatment in patients with advanced gastric cancer. Gastric Cancer. Epub ahead of print 2018. DOI: 10.1007/s10120–018–00922–8.

118.

Togashi

Kamada

Sasaki

et al . Clinicopathological, genomic and immunological features of hyperprogressive disease during PD-1 blockade in gastric cancer patients. J Clin Oncol 2018; 36: abstract 4106.

119.

Lo Russo

Moro

Sommariva

et al . Antibody-Fc/FcR interaction on macrophages as a mechanism for hyperprogressive disease in non-small cell lung cancer subsequent to PD-1/PD-L1 blockade. Clin Cancer Res 2019; 25: 989–999.

120.

Roland

Lynn

Toombs

et al . Cytokine levels correlate with immune cell infiltration after anti-VEGF therapy in preclinical mouse models of breast cancer. PLoS One 2009; 4: e7669.