Evaluating the Role of Methylated Circulating Tumor DNA in Combination With Pathological Prognostic Factors for Predicting Recurrence of Colorectal Cancer

Abstract

Background:

Colorectal cancer (CRC) has a high rate of recurrence, in particular for advanced disease, but prognosis based on staging and pathology at surgery can have limited efficacy. The presence of circulating tumor DNA (ctDNA) at diagnosis could be used to improve the prediction for disease recurrence.

Objectives:

To assess the impact of detecting methylated BCAT1/IKZF1 ctDNA at diagnosis in combination with demographic, lifestyle, clinical factors and tumor pathology, to assess predictive value for recurrence.

Design:

A retrospective cohort study.

Methods:

The cohort included 180 patients (36 with recurrent CRC), who had undergone complete treatment and surveillance for a minimum of 3 years. Participant clinical details and ctDNA methylated BCAT1/IKZF1 results were compared between those with and without recurrence, and cox regression analysis assessed each factor on disease-free survival.

Results:

Clinical factors independently associated with reduced disease-free survival included nodal involvement (HR = 3.83, 95% CI 1.56-9.43, P = .003), M1 stage (HR = 4.41, 95% CI 1.18-16.45, P = .027), a resection margin less than 2 mm (HR = 4.60, 95% CI 1.19-17.76, P = .027), perineural involvement (HR = 2.50, 95% CI 1.01-6.17, P = .047) and distal tumors (HR = 3.13, 95% CI 1.07-9.18, P = .037). Methylated BCAT1/IKZF1 was detected in 51.7% (93/180) of pre-treatment plasma samples. When a positive ctDNA finding was considered in combination with these clinical prognostic factors, there was improved predictive power of recurrence for patients with perineural involvement (HR = 4.44, 95% CI 1.92-10.26, P < .001), and it marginally improved the predictive factor for M1 stage (HR = 7.59, 95% CI 2.30-25.07, P = .001) and distal tumors (HR = 5.04, 95% CI 1.88-13.49, P = .001).

Conclusions:

Nodal invasion, metastatic disease, distal tumor site, low resection margins and perineural invasion were associated with disease recurrence. Pre-treatment methylated ctDNA measurement can improve the predictive value for recurrence in a subset of patients, particularly those with perineural involvement.

Registration:

Australian and New Zealand Clinical Trials Registry #12611000318987.

Keywords

Circulating tumor DNA colorectal cancer prognosis predictive factors recurrence

Introduction

Colorectal cancer (CRC) is currently the third leading cancer diagnosed worldwide with a high incidence and mortality rate. It remains a prevalent disease contributing to 2 million new cases in 2020 and was the second most common cause of cancer death worldwide with almost 1 million deaths.¹ Adenocarcinomas that arise in the colon or rectum are heterogeneous, arising from the accumulation of genetic and epigenetic alterations that develop over many years.² Over the last two decades, a deeper understanding of the molecular pathway of CRC, improved pathological staging, advances in chemotherapy treatments and surgical techniques have improved CRC outcomes. However, there remains a high risk of CRC recurrence particularly for patients with stage II-IV disease, with 30% to 50% of patients experiencing disease recurrence after a curative resection.³ Most recurrence is observed within the first 3 years of resection,⁴ and 90% are identified within 4 years.⁵ Delayed detection of recurrence is associated with poor survival,⁶ reduced quality of life, and a greater burden of cost on public health system. Consequently, there has been increased interest in developing more sensitive methods for post-treatment surveillance of CRC patients, with the view that early detection and treatment of recurrence can improve patient outcomes and survival. Improving identification of those patients who are at greatest risk for recurrence, and those who would benefit from more intensive surveillance, will potentially lead to better patient outcomes.

There are a range of clinicopathological factors at diagnosis that are significantly associated with risk of CRC recurrence, such as presence of metastatic disease,⁷ lymphovascular invasion, nodal involvement⁸ and perineural involvement.⁹ Furthermore, other demographic factors have also been identified as predictive of recurrence. Steele et al¹⁰ showed that patients diagnosed with CRC at a younger age (<50 years) were more likely to develop a recurrence compared to patients aged over 50 years. However, the impact of other patient factors including lifestyle factors on the risk recurrence of CRC, remains largely unexplored.¹¹

The current approach to post-operative surveillance involves regular blood testing for carcinoembryonic antigen (CEA), CT imaging, and colonoscopies,¹² particularly for those at greater risk of recurrence with stage II or more advanced CRC. However, these measures can be invasive, costly, and have failed to show a definitive benefit,^13,14 with survival remaining low.¹⁵ Importantly, CEA, the guideline recommended blood biomarker, has low specificity and sensitivity at predicting recurrence of CRC,^16-18 particularly as it is influenced by poor renal function, hypothyroidism, obstructive pulmonary disease, obesity, aging, and smoking.¹⁹ Emerging research on circulating tumor DNA (ctDNA) is evolving as a promising surveillance tool for CRC. Several studies have found that ctDNA can be used to monitor tumor burden and identify residual disease, and that persistently elevated levels post-surgery may be indictive of greater risk of CRC recurrence.^20-22 One such example is through detecting ctDNA methylated in branched chain amino-acid transaminase 1 (BCAT1) and/or IKAROS family zinc finger 1, (IKZF1). These 2 genes are extensively hypermethylated in adenoma and CRC tissue.²³ IKZF1 is a hematopoietic DNA-binding transcription factor that has a crucial role in regulating lymphocyte and myeloid differentiation.²⁴ Moreover, it regulates cell-cell interactions by activating the Notch-signaling pathway.^25,26 In comparison, the cytosolic isoform of BCAT1, regulates the degradation of amino acids that is pivotal for cellular metabolism and growth.²⁷ Importantly, there is growing evidence indicating that BCAT1 promotes cell proliferation, interferes with cell cycle progression, differentiation and apoptosis.^28-30 Hence, the disordered regulation of BCAT1 and IKZF1 has perpetuated the growth of a several solid cancers including endometrial,²⁸ CRC,³¹ liver, and lung cancer.³² In CRC, these biomarkers can be detected in up to 95% of tumor tissues³³ and in approximately 62% (ranging from 49% to 74%) of plasma samples from patients with CRC.³⁴

Identifying ctDNA post-operatively is associated with greater risk for recurrence of CRC and has greater sensitivity than CEA,¹⁷ especially with more advanced TNM and AJCC staging. However, these studies relied on prolonged monitoring of ctDNA post-treatment to determine relapse and little is known about the impact of pre-treatment ctDNA in predicting recurrence.

Thus, despite the advancement identifying predictive factors for CRC recurrence, a robust predictive multifactorial model that can be used in routine clinical practice is lacking. For example, nodal involvement has previously been shown to be a risk factor for future CRC recurrence, but despite some patients having nodal involvement at diagnosis only 41% of them will develop recurrence.³⁵ Thus, clinical care of CRC patients post-operatively could benefit from improvement of recurrence risk prediction. This could be achieved with a model that includes new and known risk factors, or through the addition of ctDNA blood biomarkers. As the levels of pre-treatment methylated BCAT1 and IKZF1 ctDNA have been shown to be significantly associated with stage of cancer^34,36 and tumor burden,²¹ it is possible that the presence of these ctDNA biomarkers can also be used for prognosis assessment to supplement the information gained from known risk factors. Therefore, the first aim of this study was to explore a range of patient factors such as demographics, lifestyle factors, medications, medical conditions, as well as tumor pathologies and blood markers, to assess their efficacy in predicting recurrence. Following this assessment, the second aim was to determine if detection of ctDNA methylated in BCAT1/IKZF1 at diagnosis further improved the prediction of those individuals at greatest risk for CRC recurrence.

Methodology

Overview

In this retrospective study, the cohort was selected from cases diagnosed with CRC who were undergoing surveillance for disease recurrence. The manuscript was prepared and revised according the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines. A period of 3 years surveillance was required as most disease recurrences will be detected within this timeframe.⁴ Cases were monitored according to institutional practice and current national guidelines using clinical information from physicians, CT imaging, colonoscopy results and blood samples. Blood samples were analyzed for methylated BCAT1 and/or IKZF1 (ctDNA) and routine clinical blood tests, including CEA. Blood test results prior to treatment commencement, patient demographics and clinical factors were included in the analysis to identify factors that were prognostic for future disease recurrence.

Part of this cohort has been previously reported in a study that assessed post-treatment ctDNA of disease free survival.²¹

Demographics of study population

The study cohort comprised of 180 patients undergoing treatment for primary CRC (adenocarcinoma) at Flinders Medical Centre (South Australia) from September 2011 to December 2018. Each patient had undergone at least 3 years of regular surveillance after initial treatment, including regular clinical and blood assessment, colonoscopies, and CT scans, supplemented by additional imaging as required.

Cases were eligible for inclusion if they had invasive CRC, adequate staging, and ctDNA blood samples collected prior to treatment for methylated BCAT1 and IKZF1 analysis. Cases excluded were those with stage IV disease who did not have curative resection. In addition, patients who did not undergo surgery to verify that they were in remission and those with less than 3 years of surveillance, or deceased prior to surgery, were excluded from the analyses.

Data collection

Clinical and pathological parameters such as medications, symptoms, histopathology, and imaging, as well as routine blood analysis (CEA, electrolyte, urea, creatinine, and complete blood profile) and BCAT1/IKZF1 ctDNA methylation results were collected. Demographic and lifestyle data collected included age, sex, smoking status, alcohol intake, body mass index (BMI), and any concurrent comorbidities. These details were collected through patient interview or retrieved from electronic hospital databases.

Staging of the tumor was defined based on the TNM staging and AJCC stage (AJCC guidelines version 8)³⁷ which was verified with clinicopathological findings obtained during surgery. However, for patients with rectal tumors where neoadjuvant therapy was given, staging was determined from pre-treatment staging MRI scans. For synchronous cancers, designated stage was defined as the most advanced lesion. Proximal CRC comprised tumors proximal to the splenic flexure, with the remainder classified as distal colon or rectum.

Medical history for cardiovascular conditions (including ischemic heart disease, arrythmia, heart failure and peripheral vascular disease), respiratory conditions (including asthma, chronic obstructive pulmonary disease, and lung fibrosis), and renal conditions (including acute and chronic kidney failure, glomerulonephritis, and renal artery stenosis) were collected. The frequency and quantity of alcohol consumption (self-reported) were classified according to the national standard of alcohol intake in Australia,³⁸ which included non-drinker, light (below the national standard) moderate (equivalent to the national standard) and heavy (exceeding the national standard). Smoking status was also self-reported and was classified as no smoking history, previous smoker, or active smoker. BMI (kg/m²) was classified as normal (BMI < 25 kg/m²), overweight (BMI ⩾ 25 and <30 kg/m²) and obese (BMI ⩾ 30 kg/m²)

Analysis of plasma for ctDNA

Venous blood was collected before initiating therapy and cell-free circulating DNA (ccfDNA) was extracted from 3.9 to 4.5 mL plasma for analysis of ctDNA methylated for BCAT1 and IKZF1, as previously reported.³⁴ Briefly, following ccfDNA extraction and bisulfite conversion, a real-time quantitative multiplex PCR assay was used to determine the amount of methylated BCAT1 and IKZF1 DNA, with measurement of ACTB used to ensure adequate ccfDNA in the sample. All samples were analyzed in triplicate. Detection of methylation in either BCAT1 or IKZF1 was recorded as positive for ctDNA.

Statistical analyses

Continuous variables are presented as mean ± standard deviation (SD) if normally distributed, whereas the non-normally distributed variables are median with interquartile range (IQR). Pearson’s chi-square was used to compare categorical variables.

Univariate cox regression analysis was used to assess the effect of clinical and demographic variables on the time to recurrence, with hazard ratio (HR) indicating the degree of associations and 95% confidence intervals (95% CI) indicating the variation of the association. A multivariable survival analysis using a cox regression was performed to compare the disease-free survival (DFS) for factors harboring a P < .05 in the univariate analysis, or those of clinical interest (eg, sex, age), with recurrence as the failure event. Cases that were missing variables that were commonly associated with risk for recurrence (eg, resection margins) were excluded from the multivariable analysis. Survival plots were presented as Kaplan-Meier survival plots. Significant predictive factors identified in the multivariable analysis were then evaluated in combination with the methylated ctDNA result using univariate cox regression and the survival was plotted using a Kaplan-Meier curve.

All statistical data were analyzed using with STATA (v16.0, StataCorp LLC, TX, USA). Tests with P values less than .05 were deemed significant.

Results

Patient population

Following exclusions, there were 180 patients eligible for inclusion, including 102 (57%) males and 78 (43%) females with invasive CRC (Figure 1). The median age was 68.2 years (IQR 58.6-76.6 years). Most patients were diagnosed with AJCC stage III (n = 70, 39%), with the remaining patients having stage I (n = 50, 28%), stage II (n = 55, 30%), and stage IV (n = 5, 3%) CRC with curative resection. More patients had distal colon or rectal tumors (n = 106, 59%), compared to 41% of the cohort with tumors in the proximal colon (n = 74).

Figure 1.

Study inclusion and exclusion criteria.

Of this cohort, 36/180 (20%) of participants developed recurrence within the surveillance period, with the remaining 144/180 (80%) disease-free and alive during that period. The median disease-free period in the recurrence group was 19.5 months (IQR 15.7-30.5 months) and the range was from 2.8 to 90.5 months. Most patients developed distant recurrence (n = 31, 86%), with only 5 cases (14%) developing a loco-regional recurrence. The distant metastatic disease occurred mainly in the lung with distant nodal involvement (n = 13, 42%) and liver with distant nodal involvement (n = 9, 29%) and some patients had concurrent liver and lung recurrence (n = 3, 10%). The remainder of metastatic disease spread to other peritoneum (n = 2, 6%), distant nodes only (n = 2, 6%), liver and brain (n = 1, 3%) or liver and peritoneum (n = 1, 3%) concurrently. With the non-recurrence cohort, the median period of follow up was 81.7 months (IQR 62.6-98.3 months) and the range was 38.2 to 127.1 months. There were no significant differences between the age or sex of the patients with and without recurrence during the follow-up period (P > .05, Table 1).

Table 1.

Demographic factors in individuals who developed recurrence compared to those that remained disease free.

	Non-recurrence, n (%)	Recurrence, n (%)	P-value
Cohort	144 (75)	36 (25)
Age (y)
Median (±SD)	68.6 ± 12.1	66.2 ± 12.8	.311
Sex
Male	78 (54)	24 (67)	.176
Female	66 (46)	12 (33)
BMI (kg/m²)
<25	32 (24)	11 (33)	.474
⩾25 and <30	48 (36)	9 (27)
⩾30	54 (40)	13 (40)
Alcohol^a
Nil drinker	78 (55)	19 (53)	.942
Light	22 (15)	7 (19)
Moderate	15 (11)	4 (11)
Heavy	27 (19)	6 (17)
Smoking status
No smoking	34 (34)	7 (26)	.608
Previous smoker	45 (45)	15 (56)
Actively smoking	21 (21)	5 (18)

Abbreviations: BMI, body mass index; SD, standard deviation.

Alcohol intake classification as described in methodology.

Association of patient and clinical factors with recurrence of CRC

Patient demographic and lifestyle factors were assessed by univariate analysis to determine if there was a significant association with CRC recurrence. Recurrence was not associated with any of the measured lifestyle factors, including elevated BMI, smoking status or alcohol intake (P > .05) (Table 1).

The patient clinical parameters were also reviewed for associations with future recurrence, including the indications at diagnosis, concurrent medical conditions, and medications (Table 2). Per-rectal bleeding was significantly associated with recurrence (P = .004); however, no other symptoms, comorbidity or medication were associated with CRC recurrence (P > .05).

Table 2.

Clinical factors in individuals who developed recurrence compared to those that remained disease free.

	Non-recurrence, n (%)	Recurrence, n (%)	P-value
Symptoms
Rectal bleeding	40 (68)	19 (32)	.004
Anemia	37 (90)	4 (10)	.062
Weight loss	6 (75)	2 (25)	.718
Change in bowel habits	8 (80)	2 (20)	1.000
Generalized unwell	8 (80)	2 (20)	.915
Abdominal pain	20 (77)	6 (23)	.672
Comorbidities
Cardiovascular	76 (83)	16 (17)	.350
Hypertension	72 (78)	20 (22)	.576
Diabetes	33 (75)	11 (25)	.340
Renal	13 (72)	5 (28)	.400
Respiratory	41 (85)	7 (15)	.300
Medication
Aspirin	24 (83)	5 (17)	.685
ACE inhibitors	64 (76)	20 (24)	.246
Statins	59 (80)	15 (20)	.940
Metformin	22 (82)	5 (18)	.835
PPI	36 (72)	14 (28)	.096
Beta blockers	31 (82)	7 (18)	.784
Anticoagulants/antiplatelets (excluding aspirin)	24 (83)	5 (17)	.685
Lactate dehydrogenase^a
Normal <250 IU/L	130 (95)	30 (83)	.019
Elevated >250 IU/L	7 (5)	6 (17)
Pre-treatment CEA^b
Within normal limit	41 (84)	13 (72)	.293
Above normal limits	8 (16)	5 (28)

Abbreviation: PPI, proton pump inhibitor.

Lactate Dehydrogenase levels below 250 IU/L considered normal.

CEA based on Roche Cobas defining normal as <8 μg/L after February 2018 and <10 μg/L prior to February 2018 using Siemens Centaur analyzer.

It was observed that patients with future recurrence were more likely to have an elevated lactate dehydrogenase at diagnosis (LDH > 250 IU/L; an enzyme produced during anaerobic metabolic pathway and frequently elevated in cancer cells³⁹) compared to those without recurrence (P = .019), however, there were no differences in pre-treatment CEA positivity rate between the patients with and without recurrence (P > .05, Table 2).

Association of tumor pathology and risk of recurrence

Several tumor pathology markers were more prevalent in individuals who later developed CRC recurrence. Individuals with recurrence were more likely to have been diagnosed with a primary distal colonic or rectal cancer (31/36, 86%) compared to those without recurrence (75/144, 53%, P < .001) (Table 3). In addition, those with diagnosis at an advanced stage of disease (stage III and IV) were more likely to later develop recurrence compared to those with a diagnosis at early stage (9% vs 36% respectively).

Table 3.

Tumor pathologies in individuals who developed recurrence compared to those that remained disease free.

	Non-recurrence, n (%)	Recurrence, n (%)	P-value
Location
Proximal colon	68 (47)	5 (14)	<.001
Distal colon or rectum	75 (53)	31 (86)
Resection margin
>2 mm	136 (98)	30 (88)	.011
<2 mm	3 (2)	4 (12)
Differentiation
Well-differentiated	12 (9)	3 (8)	.272
Moderate	110 (79)	24 (69)
Poorly differentiated	17 (12)	8 (23)
Mucinous
No	114 (79)	31 (86)	.605
Focal	26 (18)	4 (11)
Yes	4 (3)	1 (3)
Lymph nodes examined
>12 examined	116 (83)	25 (69)	.058
<12 examined	23 (17)	11 (31)
Apical lymph nodes involved
No	140 (97)	33 (92)	.123
Yes	4 (3)	3 (8)
IMVI
No	129 (94)	31 (91)	.526
Yes	8 (6)	3 (9)
EMVI
No	123 (88)	24 (66)	.004
Yes	16 (12)	11 (33)
Serosal involvement
No	45 (89)	12 (71)	.087
Yes	6 (11)	5 (29)
Neural involvement
No	130 (92)	26 (72)	.002
Yes	12 (8)	10 (28)
Lymphovascular invasion
No	110 (78)	17 (50)	.001
Yes	31 (22)	17 (50)
Colorectal cancer tumor deposits
No	132 (95)	22 (73)	<.001
Yes	7 (5)	8 (27)
AJCC staging at diagnosis
Stage I	46 (32)	4 (11)	<.001
Stage II	50 (34)	5 (14)
Stage III	47 (33)	23 (64)
Stage IV	1 (1)	4 (11)
T stage
T1	26 (18)	0	.012
T2	28 (19)	4 (11)
T3	74 (52)	23 (64)
T4	16 (11)	9 (25)
N stage
N0	97 (67)	9 (25)	<.001
N1/N2	47 (31)	27 (75)
M stage
M0	143 (99)	32 (89)	.001
M1	1 (<1)	4 (11)

Abbreviations: EMVI, extramural vascular invasion; IMVI, intramural vascular invasion.

Overall, in the cohort, predominantly moderately differentiated tumors were observed (n = 134, 77%), with the remaining having well differentiated (n = 15, 9%) and poorly differentiated (n = 25, 14%); with most having nil mucinous features (n = 145, 81%). However, grade of tumor and mucinous features were not linked with recurrence (P > .05; Table 3).

Most patients had more than 12 lymph nodes examined during surgery (n = 141, 81%) with a mean of 18 lymph nodes assessed. There was no recurrence in patients with T1-stage, but overall T stage was linked with recurrence (P = .012; Table 3). Nodal involvement (N1 stage, 27/36, 75%) and metastatic disease (M1 stage, 4/36, 11%) were significantly associated with diagnosis of recurrence (P < .01).

Most patients in our cohort had a surgery to remove the tumor with majority having a right hemicolectomy (n = 74, 41%), high anterior resection (n = 36, 20%) or a low anterior resection (n = 32, 18%). The remainder of patient either did not have any resection of the tumor (n = 7, 4%) or had other procedures including; abdominoperineal resection (n = 9, 5%), ultra-low anterior resection (n = 7, 4%), extended right hemicolectomy (n = 6, 3%), left hemicolectomy (n = 4, 2%) subtotal colectomy (n = 4, 2%) or ileocecal resection (n = 1, <1%). However, the type of surgery was not a predicator for recurrence when adjusted for tumor location (P > .05).

Other significant pathological markers assessed included extramural vascular invasion (EMVI), which was more prevalent in the recurrence cohort (11/36, 33%) compared to the those without recurrence (16/144, 12%; P = .004) (Table 3). Likewise, a greater proportion of the patients with perineural involvement developed recurrence (10/36, 28%) compared those that did not have recurrence (12/144, 8%; P = .002) (Table 3). Similarly, a significantly greater proportion of patients with lymphovascular invasion and colorectal tumor deposits developed recurrence (n = 17, 50% and n = 8, 27% respectively) compared to those that did not develop recurrence (n = 31, 22% and n = 7, 5% respectively) (P < .01).

Association of methylated ctDNA and risk of recurrence

The presence of methylated ctDNA at diagnosis (prior to any treatment) was higher in patients with a future recurrence (n = 22, 61%) compared to those without a recurrence (n = 71, 49%), however, this did not reach statistical significance (P = .205). When each gene in the methylated ctDNA test was assessed individually, BCAT1 was present in 47% (n = 17) of patients with recurrence, compared to 40% (n = 57) of patients without recurrence (P = .405). Similarly, IKZF1 was present in the plasma of 42% (n = 15) of patients that had recurrence compared to 36% (n = 52) of those without recurrence (P = .537).

Predictive variables for recurrence identified via multivariable analysis

Analysis for DFS (P > .05; Table 4) with univariate Cox regression analysis showed that variables including tumors located in the recto-sigmoid colon (HR 4.79, P = .001), a resection margin less than 2 mm (HR = 4.57, P = .004), rectal bleeding (HR = 2.54, P = .005), EMVI presence (HR = 3.01, P = .003), perineural involvement (HR = 3.66, P = .001), lymphovascular invasion (HR = 3.08, P = .001), nodal involvement (HR = 5.43, P < .001), metastatic disease (HR = 7.50, P < .001) and LDH (HR = 3.06, P = .013) were all statistically associated with reduced DFS (Table 4). T stage was not significantly associated with DFS (P > .05).

Table 4.

Predictors for time to colorectal cancer recurrence (disease-free survival) using univariate and multivariable cox regression analysis.

Variable	N (%)	Univariate Cox regression		Multivariable Cox regression
Variable	N (%)	HR (95% CI)	P-value	HR (95% CI)	P-value
Location
Proximal colon	74 (41)	1.0		1.0
Distal colon or rectum	106 (59)	4.79 (1.86-12.34)	.001	3.13 (1.07-9.18)	.037
Resection margin
No	166 (96)	1.0		1.0
Yes	7 (4)	4.57 (1.61-13.00)	.004	4.60 (1.19-17.76)	.027
Symptoms
Rectal bleeding
No	121 (67)	1.0		1.0
Yes	59 (33)	2.54 (1.32-4.89)	.005	1.11 (0.49-2.50)	.797
EMVI present
No	147 (84)	1.0		1.0
Yes	27 (26)	3.01 (1.47-6.17)	.003	0.83 (0.31-2.25)	.721
Neural involvement
No	156 (88)	1.0		1.0
Yes	22 (26)	3.66 (1.76-7.60)	.001	2.50 (1.01-6.17)	.047
Lymphovascular invasion
No	127 (73)	1.0		1.0
Yes	48 (27)	3.08 (1.57-6.04)	.001	1.53 (0.70-3.33)	.282
Lactate dehydrogenase ^a
Normal	160 (92)	1.0		1.0
Abnormal	13 (8)	3.06 (1.27-7.37)	.013	2.80 (0.90-8.68)	.074
N stage
N0	106 (59)	1.0		1.0
N1/N2	74 (41)	5.43 (2.55-11.56)	<.001	3.83 (1.56-9.43)	.003
M stage
M0	175 (97)	1.0		1.0
M1	5 (3)	7.50 (2.63-21.45)	<.001	4.41 (1.18-16.45)	.027

Abbreviations: EMVI, extramural vascular invasion; IMVI, intramural vascular invasion.

Multivariable analysis adjusted for age and sex, as well as the clinical variables listed above.

Lactate Dehydrogenase levels below 250 IU/L considered normal.

Following adjustment for age and sex, multivariable cox regression analysis for DFS revealed that patients with nodal involvement and metastatic disease (HR = 3.83, 95% CI 1.56-9.43, P = .003; and HR = 4.41, 95% CI 1.18-16.45, P = .027, respectively; Table 4), had a reduced DFS. Likewise, location of tumors in the recto-sigmoid (HR = 3.13, 95% CI 1.07-9.18, P = .037), a resection margin less than 2 mm (HR = 4.60, 95% CI 1.19-17.76, P = .027) and perineural involvement (HR = 2.50, 95% CI 1.01-6.17, P = .047) remained statistically significant and thus concomitant to a shorter DFS. Kaplan-Meier survival curves are shown for these risk factors in Figure 2.

Figure 2.

Kaplan-Meier survival curves for disease-free survival in association with: location of primary tumor (A), resection margins (<2 mm) (B), presence of nodal disease (N stage) (C), presence of metastatic disease (M stage) (D), and existence of perineural invasion (E).

Evaluation of significant prognostic factors in combination with methylated ctDNA

The diagnostic ctDNA result was assessed to examine whether it could improve the prognostic factors deemed significant in the multivariable analysis (Figure 3). Distal colon and rectal tumors with positive ctDNA (HR = 5.04, 95% CI 1.88-13.49, P = .001) showed a marginal increase in the hazard ratio compared to negative ctDNA in individuals that developed recurrence (HR = 4.45, 95% CI 1.57-12.64, P = .005).

Figure 3.

Kaplan-Meier survival curves for disease-free survival in association with: distal colon and rectal tumors combined with circulating tumor DNA (ctDNA) compared to the proximal colon tumor location (A), presence of metastatic disease taking into consideration ctDNA (B), compared to no metastatic disease (M0); presence of nodal disease (N1/2 stage) taking into consideration ctDNA compared to no nodal involvement (N0 stage) (C), resection margin <2 mm compared to margin > 2mm considering ctDNA (D), and perineural invasion taking into consideration ctDNA compared to no perineural invasion (E).

Likewise, the addition of positive ctDNA with metastatic disease was significantly associated with recurrence (HR = 7.59, 95% CI 2.30-25.07, P = .001) whilst combination with negative ctDNA was not significantly associated with recurrence (HR = 7.24, 95% CI 0.98-53.65, P > .05). Additionally, perineural involvement with a positive ctDNA result at diagnosis was significantly associated with recurrence (HR 4.44, 95% CI 1.92-10.26, P < .001) compared to neural involvement with negative ctDNA result (HR = 2.59, 95% CI 0.79-8.57, P > .05). The ctDNA result was unable to differentiate between patients that had nodal involvement, as patients with N1 stage with negative and positive peri-diagnostic ctDNA were no different in their DFS (HR = 5.63, 95% CI 2.23-14.19, P < .001 vs HR = 5.34, 95% CI 2.39-11.89, P < .001, respectively). There were no patients with a resection margin less than 2 mm and a negative ctDNA result, however, a resection margin <2 mm and a positive diagnostic ctDNA result was significantly associated with reduced DFS compared to patients with resection margins greater than 2 mm (HR = 6.07, 95% CI 1.92-10.26, P < .001).

Discussion

While the diagnostic and management approach to CRC has improved, there remains a high rate of recurrence. CRC recurrence is associated with increased risk of mortality and reduced quality of life. Identification of prognostic factors for recurrence might improve survival rates in patients with CRC after curative interventions, as this will enable earlier detection and treatment. Prior studies have identified tumor stage, depth of invasion, and the degree of vascular or perineural invasion as having a statistically significant association with CRC recurrence.^40,41 Current guidelines also recommend the use of post-operative CEA, despite it having a low sensitivity and specificity. Thus, this retrospective observational study analyzed the impact of a range of multifactorial variables and diagnostic ctDNA independently and examined the association of each variable on the risk of recurrence following resection of CRC. To our knowledge there has been no study that reviewed the impact of pre-treatment methylated ctDNA in combination with prognostic factors on predicting the risk for future recurrence of CRC.

Our study further reinforced existing findings in the current literature that patients diagnosed initially with nodal involvement (N stage 1 and 2) and metastatic disease (M1 stage) are at greater risk of recurrence following treatment for CRC⁴² and have reduced DFS. This is likely due to greater disease burden and a higher risk of undetectable residual disease despite curative interventions. Furthermore, tumors with a resection margin less than 2 mm were associated with a higher risk of CRC recurrence and reduced DFS. This is likely from incomplete surgical excision contributing to greater risk of recurrence. The multivariable analysis supported this deduction (HR = 4.60), independent of the N stage and M stage. Our finding supports previous literature that showed a resection margin <2 mm is associated with poorer prognosis because of increased probability of recurrence.^43,44

There has been ongoing debate in the literature regarding the overall impact of the location of CRC lesions on recurrence. Some of the data suggest that proximal colon cancers have poorer overall survival and reduced DFS and increased risk of recurrence,^45,46 while another study failed to show this.⁴⁷ Interestingly, this study found that distal tumors were associated with a reduced DFS compared to proximal colon tumors, with hazard ratio 3.13 in the multivariable analysis (P = .037). This can be a consequence of distal tumors depositing in peri-anastomotic space leading to residual mesenteric disease such as extramural venous invasion or tumor deposits that subsequently lead to recurrence.⁴⁸

The rise of the global burden of chronic disease has resulted in the ongoing use of multiple medications to treat these illnesses, but there is limited literature about the impact of these medications on recurrence of CRC. While there is growing evidence to suggest that medications such as aspirin can reduce the development of precancerous colorectal adenomas,^49,50 or that protein pump inhibitors (PPI) can reduce DFS,⁵¹ the influence of these medications on recurrence of CRC is largely unknown. Importantly, to our knowledge, there have been very few studies that have assessed the effect of common cardiovascular medications such as angiotensinogen receptor inhibitors (ACEi), beta blockers, HMG-CoA reductase inhibitors (statins), and antidiabetic medications such as metformin on the recurrence of CRC. Our analysis did not find any significant association between CRC recurrence and the use of aspirin, PPI, ACEi, beta blockers, or metformin.

Post-operative ctDNA has shown a promising prognostic effect on the prediction of recurrence,⁵² with clinical trials now using post-treatment ctDNA to guide treatment decisions.⁵³ However, the capacity for ctDNA assays to detect recurrence after an intervention such as surgery relies on the sensitive detection of very low levels of tumor DNA. Small amounts of cancer cells or residual disease after radical intervention may have undetectable ctDNA remaining. Risk of future recurrence is also associated with initial tumor burden, which we have previously shown to be correlated with presence of methylated BCAT1 and IKZF1.²¹ Thus, utilizing pre-treatment diagnostic ctDNA may offer an alternative and more robust predictor for recurrence. Beagan et al⁵⁴ found that ctDNA can be detected in patients with concurrent peritoneal metastasis. However, within our cohort, pre-treatment ctDNA did not have a significant association with recurrence of CRC when assessed alone. This is likely explained by the fact that most of our cohort had non-metastatic disease and as such the amount of detectable ctDNA tends to be low.

The presence of pre-treatment methylated ctDNA, when combined with significant prognostic tumor pathology factors, showed a higher predictive power for disease recurrence of CRC, specifically for perineural involvement and metastatic disease, and then marginally improved for tumors located in the distal colon or rectum. There were no differences found in patients with nodal involvement, but this analysis may have been limited by a low sample size. Thus, our analysis found that while ctDNA had limited reliability as a predictive biomarker when used alone in the pre-treatment setting, utilizing it in combination with other prognostic factors can assist in identifying patients at greater risk of recurrence. Such a combination of risk factors may indicate which patients may benefit from stringent follow up including serial ctDNA and functional imaging, to allow for earlier detection of recurrence and better patient outcome.

The strengths of this study include a well described cohort who had a long follow up period minimum of 3 years, enabling sufficient time for recurrence to occur. Also, a great range of demographic, lifestyle, medical conditions, and tumor markers were simultaneously assessed. As the clinical variables that were available for analysis were routinely collected, this makes this study generalizable for other settings. However, there were some limitations. Firstly, while all eligible enrolled individuals were included in the analysis, the number of participants that developed CRC recurrence was relatively small, and a power calculation was not performed prior to analysis. In addition, since patients had multiple comorbidities that were managed by several medications, we were unable to confidently assess the patient’s compliance with their regular medications, which may impact the veracity of the results exploring the association between medication use and recurrence of CRC.

Conclusion

The early detection of CRC recurrence is believed to have a significant impact on survival and can improve patient outcomes. However, there is an ongoing need to find significant predictive variables that can better predict risk for CRC recurrence in routine clinical practice. This study found that high nodal staging, metastatic disease, distal colon and rectal tumors, and a small resection margin (<2 mm) was associated with a poorer prognosis and reduced DFS. Although pre-treatment ctDNA showed a limited benefit for predicting recurrence in isolation, when combined with other significant prognostic factors it improved prediction, enabling better identification of those patients at greater risk of CRC recurrence.

Supplemental Material

sj-doc-1-bmi-10.1177_11772719241232870 – Supplemental material for Evaluating the Role of Methylated Circulating Tumor DNA in Combination With Pathological Prognostic Factors for Predicting Recurrence of Colorectal Cancer

Supplemental material, sj-doc-1-bmi-10.1177_11772719241232870 for Evaluating the Role of Methylated Circulating Tumor DNA in Combination With Pathological Prognostic Factors for Predicting Recurrence of Colorectal Cancer by Hiba Al Naji, Jean M Winter, Susanne K Pedersen, Amitesh Roy, Susan E Byrne, Graeme P Young and Erin L Symonds in Biomarker Insights

Footnotes

Acknowledgements

Not applicable.

Declarations

ORCID iDs

Hiba Al Naji

Jean M Winter

Erin L Symonds

Supplemental material

Supplemental material for this article is available online.

References

Global colorectal cancer burden in 2020 and projections to 2040. Transl Oncol. 2021;14:101174.

Okugawa

Grady

Goel

Epigenetic alterations in colorectal cancer: emerging biomarkers. Gastroenterology. 2015;149:1204-1225.e12.

Young

Womeldorph

Johnson

, et al. Early detection of colorectal cancer recurrence in patients undergoing surgery with curative intent: current status and challenges. Cancer. 2014;5:262-271.

Caso

Fabrizio

Sosin

Prolonged follow-up of colorectal cancer patients after 5 years: to follow or not to follow, that is the question (and how)!

Ann Transl Med. 2020;8:164.

Longo

Johnson

FE.

The preoperative assessment and postoperative surveillance of patients with colon and rectal cancer. Surg Clin N Am. 2002;82:1091-1108.

Sargent

Sobrero

Grothey

, et al. Evidence for cure by adjuvant therapy in colon cancer: observations based on individual patient data from 20,898 patients on 18 randomized trials. J Clin Oncol. 2009;27:872-877.

Augestad

Bakaki

Rose

, et al. Metastatic spread pattern after curative colorectal cancer surgery. A retrospective, longitudinal analysis. Cancer Epidemiol. 2015;39:734-744.

Ryuk

Choi

Park

, et al. Predictive factors and the prognosis of recurrence of colorectal cancer within 2 years after curative resection. Ann Surg Treat Res. 2014;86:143-151.

Knijn

Mogk

Teerenstra

Simmer

Nagtegaal

ID.

Perineural invasion is a strong prognostic factor in colorectal cancer: a systematic review. Am J Surg Pathol. 2016;40:103-112.

10.

Steele

Park

Johnson

, et al. The impact of age on colorectal cancer incidence, treatment, and outcomes in an equal-access health care system. Dis Colon Rectum. 2014;57:303-310.

11.

van Zutphen

Kampman

Giovannucci

van Duijnhoven

FJB.

Lifestyle after colorectal cancer diagnosis in relation to survival and recurrence: a review of the literature. Curr Colorectal Cancer Rep. 2017;13:370-401.

12.

Meyerhardt

Mangu

Flynn

, et al. Follow-up care, surveillance protocol, and secondary prevention measures for survivors of colorectal cancer: American Society of Clinical Oncology clinical practice guideline endorsement. J Clin Oncol. 2013;31:4465-4470.

13.

Berman

Cheung

Weinberg

DS.

Surveillance after colorectal cancer resection. Lancet. 2000;355:395-399.

14.

Kosmider

Lipton

Adjuvant therapies for colorectal cancer. World J Gastroenterol. 2007;13:3799-3805.

15.

Kaiser

Kang

Chan

Beart

RW.

The prognostic impact of the time interval to recurrence for the mortality in recurrent colorectal cancer. Colorectal Dis. 2006;8:696-703.

16.

Chao

Gibbs

Caution is required before recommending routine carcinoembryonic antigen and imaging follow-up for patients with early-stage colon cancer. J Clin Oncol. 2009;27:e279-e280.

17.

Meyerhardt

Mangu

Flynn

, et al. Follow-up care, surveillance protocol, and secondary prevention measures for survivors of colorectal cancer: American society of clinical oncology clinical practice guideline endorsement. J Clin Oncol. 2013;31:4465-4470.

18.

Sørbye

Dahl

Carcinoembryonic antigen surge in metastatic colorectal cancer patients responding to oxaliplatin combination chemotherapy: implications for tumor marker monitoring and guidelines. J Clin Oncol. 2003;21:4466-4467.

19.

Yang

Hyun

Yeon

Choi

HJ.

Factors associated with serum levels of carcinoembryonic antigen in healthy non-smokers. Korean J Fam Med. 2013;34:413-419.

20.

Chin

Chen

Usmani

, et al. Detection of solid tumor molecular residual disease (MRD) using circulating tumor DNA (ctDNA). Mol Diagn Ther. 2019;23:311-331.

21.

Symonds

Pedersen

Yeo

, et al. Assessment of tumor burden and response to therapy in patients with colorectal cancer using a quantitative ctDNA test for methylated BCAT1/IKZF1. Mol Oncol. 2022;16:2031-2041.

22.

Tie

Wang

Tomasetti

, et al. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Sci Transl Med. 2016;8:346ra92.

23.

Mitchell

Ross

Drew

, et al. A panel of genes methylated with high frequency in colorectal cancer. BMC Cancer. 2014;14:54.

24.

Hoshino

Boutboul

Zhang

, et al. Gain-of-function IKZF1 variants in humans cause immune dysregulation associated with abnormal T/B cell late differentiation. Sci Immunol. 2022;7:eabi7160.

25.

Díaz

Yuen

Iizuka

Higashiyama

Courtneidge

. Notch increases the shedding of HB-EGF by ADAM12 to potentiate invadopodia formation in hypoxia. J Cell Biol. 2013;201:279-292.

26.

Dumortier

Jeannet

Kirstetter

, et al. Notch activation is an early and critical event during T-Cell leukemogenesis in Ikaros-deficient mice. Mol Cell Biol. 2006;26:209-220.

27.

Hall

Wallin

Reinhart

Hutson

SM.

Branched chain aminotransferase isoenzymes. Purification and characterization of the rat brain isoenzyme. J Biol Chem. 1993;268:3092-3098.

28.

Wang

Zeng

, et al. BCAT1 promotes proliferation of endometrial cancer cells through reprogrammed BCAA metabolism. Int J Clin Exp Pathol. 2018;11:5536-5546.

29.

Schuldiner

Eden

Ben-Yosef

, et al. ECA39, a conserved gene regulated by c-Myc in mice, is involved in G1/S cell cycle regulation in yeast. Proc Natl Acad Sci USA. 1996;93:7143-7148.

30.

Liu

Jia

, et al. BCAT1 promotes tumor cell migration and invasion in hepatocellular carcinoma. Oncol Lett. 2016;12:2648-2656.

31.

Javierre

Rodriguez-Ubreva

Al-Shahrour

, et al. Long-range epigenetic silencing associates with deregulation of Ikaros targets in colorectal cancer cells. Mol Cancer Res. 2011;9:1139-1151.

32.

Chen

Shi

Chen

, et al. Multiple functions of ikaros in hematological malignancies, solid tumor and autoimmune diseases. Gene. 2019;684:47-52.

33.

Young

Symonds

Nielsen

, et al. Evaluation of a panel of tumor-specific differentially-methylated DNA regions in IRF4, IKZF1 and BCAT1 for blood-based detection of colorectal cancer. Clin Epigenetics. 2021;13:14.

34.

Symonds

Pedersen

Baker

, et al. A blood test for methylated BCAT1 and IKZF1 vs. A fecal immunochemical test for detection of colorectal neoplasia. Clin Transl Gastroenterol. 2016;7:e137.

35.

van Eeghen

Bakker

van Bochove

Loffeld

RJLF.

High risk stage 2 and stage 3 colon cancer, predictors of recurrence and effect of adjuvant therapy in a nonselected population. Int Sch Res Notices. 2015;2015: 10.

36.

Symonds

Pedersen

Murray

, et al. Circulating tumour DNA for monitoring colorectal cancer-a prospective cohort study to assess relationship to tissue methylation, cancer characteristics and surgical resection. Clin Epigenetics. 2018;10:63.

37.

Weiser

MR.

AJCC 8th edition: colorectal cancer. Ann Surg Oncol. 2018;25:1454-1455.

38.

Australian Institute of Health and Welfare. Measuring risky drinking according to the Australian alcohol guidelines, measuring risky drinking. Accessed October 08, 2022. https://www.aihw.gov.au/reports/alcohol/measuring-risky-drinking-aus-alcohol-guidelines/contents/measuring-risky-drinking

39.

Kolappan

Shen

Mosi

, et al. Structures of lactate dehydrogenase A (LDHA) in apo, ternary and inhibitor-bound forms. Acta Crystallogr D Biol Crystallogr. 2015;71:185-195.

40.

Kobayashi

Mochizuki

Sugihara

, et al. Characteristics of recurrence and surveillance tools after curative resection for colorectal cancer: a multicenter study. Surgery. 2007;141:67-75.

41.

Tsai

Chu

Huang

, et al. Predictive factors of early relapse in UICC stage I-III colorectal cancer patients after curative resection. J Surg Oncol. 2009;100:736-743.

42.

Saha

Sehgal

Patel

A multicenter trial of sentinel lymph node mapping in colorectal cancer: prognostic implications for nodal staging and recurrence. Am J Surg. 2007;194:139-140.

43.

Bernstein

Endreseth

Romundstad

Wibe

Circumferential resection margin as a prognostic factor in rectal cancer. Br J Surg. 2009;96:1348-1357.

44.

Bouzourene

Bosman

Matter

Coucke

Predictive factors in locally advanced rectal cancer treated with preoperative hyperfractionated and accelerated radiotherapy. Hum Pathol. 2003;34:541-548.

45.

Benson

KRK

Sandhu

Zhang

, et al. Local recurrence outcomes of colorectal cancer oligometastases treated with stereotactic ablative radiotherapy. Am J Clin Oncol. 2021;44:559-564.

46.

Qin

Yang

Sun

, et al. Comparison of 627 patients with right- and left-sided colon cancer in China: differences in clinicopathology, recurrence, and survival. Chronic Dis Transl Med. 2017;3:51-59.

47.

Warschkow

Sulz

Marti

, et al. Better survival in right-sided versus left-sided stage I - III colon cancer patients. BMC Cancer. 2016;16:554.

48.

Bertelsen

Neuenschwander

Jansen

, et al. Disease-free survival after complete mesocolic excision compared with conventional colon cancer surgery: a retrospective, population-based study. Lancet Oncol. 2015;16:161-168.

49.

Sandler

Halabi

Baron

, et al. A randomized trial of aspirin to prevent colorectal adenomas in patients with previous colorectal cancer. New Engl J Med. 2003;348:883-890.

50.

Chan

Ogino

Fuchs

CS.

Aspirin use and survival after diagnosis of colorectal cancer. JAMA. 2009;302:649-658.

51.

Sun

Ilich

Kim

, et al. Concomitant administration of proton pump inhibitors and capecitabine is associated with increased recurrence risk in early stage colorectal cancer patients. Clin Colorectal Cancer. 2016;15:257-263.

52.

Chen

Peng

Xiao

, et al. Postoperative circulating tumor DNA as markers of recurrence risk in stages II to III colorectal cancer. J Hematol Oncol. 2021;14:80.

53.

Tie

Cohen

Lahouel

, et al. Circulating tumor DNA analysis guiding adjuvant therapy in stage II colon cancer. New Engl J Med. 2022;386:2261-2272.

54.

Beagan

Sluiter

Bach

, et al. Circulating tumor DNA as a preoperative marker of recurrence in patients with peritoneal metastases of colorectal cancer: a clinical feasibility study. J Clin Med. 2020;9:1738.

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