Abstract

Background

The molecular profile of early-onset colonic cancer is undefined. This study evaluated clinicopathological features and oncological outcomes of young patients with colonic cancer according to microsatellite status.

Methods

Anonymized data from an international collaboration were analysed. Criteria for inclusion were patients younger than 50 years diagnosed with stage I–III colonic cancer that was surgically resected. Clinicopathological features, microsatellite status, and disease-specific outcomes were evaluated.

Results

A total of 650 patients fulfilled the criteria for inclusion. Microsatellite instability (MSI) was identified in 170 (26.2 per cent), whereas 480 had microsatellite-stable (MSS) tumours (relative risk of MSI 2.5 compared with older patients). MSI was associated with a family history of colorectal cancer and lesions in the proximal colon. The proportions with pathological node-positive disease (45.9 versus 45.6 per cent; P = 1.000) and tumour budding (20.3 versus 20.5 per cent; P = 1.000) were similar in the two groups. Patients with MSI tumours were more likely to have BRAF (22.5 versus 6.9 per cent; P < 0.001) and KRAS (40.0 versus 24.2 per cent; P = 0.006) mutations, and a hereditary cancer syndrome (30.0 versus 5.0 per cent; P < 0.001; relative risk 6). Five-year disease-free survival rates in the MSI group were 95.0, 92.0, and 80.0 per cent for patients with stage I, II, and III tumours, compared with 88.0, 88.0, and 65.0 per cent in the MSS group (P = 0.753, P = 0.487, and P = 0.105 respectively).

Conclusion

Patients with early-onset colonic cancer have a high risk of MSI and defined genetic conditions. Those with MSI tumours have more adverse pathology (budding, KRAS/BRAF mutations, and nodal metastases) than older patients with MSI cancers.

Introduction

The incidence of colorectal cancer among adults aged less than 50 years is rising globally1,2. It represents the second most common cancer and the third leading cause of cancer-related death in this age group3. Based on current trends, it is estimated that by 2030 the incidence rates of colonic and rectal cancer will have increased by 90 and 124 per cent respectively among adults aged 20–34 years, and by 27 and 46 per cent respectively for those aged 35–49 years2.

As the volume of data on early-onset colorectal cancer increases, distinct clinical and pathological patterns have emerged. Young patients typically present with an advanced disease stage, and more frequently exhibit adverse histopathological features, such as poor differentiation, perineural invasion, venous invasion, and mucinous and/or signet cell morphology4–7.

Prognostication and therapeutic decision-making in colorectal cancer is based largely on histopathological analysis of the resected specimen and the TNM staging system. Clinical outcome, however, varies among patients with the same disease stage, probably in relation to tumoral molecular heterogeneity. The majority of colorectal cancers develop via chromosomal instability (and are also known as microsatellite-stable, MSS), whereas 15 per cent are characterized by microsatellite instability (MSI)8,9. MSI is due to defective DNA mismatch repair (MMR) which leads to the accumulation of errors in DNA replication. This defect may be the result of sporadic epigenetic silencing of the MLH1 gene and the CpG island methylator phenotype, or constitutive mutations in one of the MMR genes (MLH1, MLH6, MSH2, PMS2), that is Lynch syndrome10.

Reflex testing for MSI (either by PCR or immunohistochemistry) is recommended in all patients with colorectal cancer, regardless of age or family history. Tumours with MSI have a unique clinical and immunological phenotype. They are typically located in the proximal colon, are less likely to metastasize to lymph nodes and distant organs, and demonstrate a strong intratumoral lymphocytic reaction11–13. They are associated with better stage-adjusted survival than MSS tumours, and are relatively resistant to 5-fluorouracil-based chemotherapy14–17. Historically, studies evaluating MSI have included all-age colorectal cancer and little is known about MSI in young patients. It is unclear whether the same clinicopathological patterns and survival trends exist as those observed in late-onset disease. Individual institutional data in isolation are too small for meaningful analyses. The REACCT Collaborative was established to aggregate large-volume real-world data from specialist centres across the world. This study compared the clinicopathological features and oncological outcomes of MSI and MSS colonic cancers in young patients.

Methods

Study participants

A retrospective international multicentre observational study was performed to assess the clinicopathological features, molecular characteristics, and disease-specific outcomes of patients diagnosed with early-onset colonic cancer. Inclusion criteria were adults aged between 18 and 49 years with a histologically confirmed diagnosis of stage I–III colonic cancer, who underwent surgery with curative intent, and with known MSI status.

Data collection

All participating institutions are tertiary referral units with specialist expertise in colorectal cancer. A principal investigator from each participating centre collected data from the institutional database or by independent review, and submitted the data centrally for analysis. Ethical approval was sought at an individual institutional level. Data collected included: baseline patient demographics, clinical information, stage, surgical, and treatment data, histopathological and molecular features, and cancer-specific as well as overall survival information. Clinical staging was according to the eighth edition of the AJCC TNM staging system. Microscopically clear resection (R0) was defined by a tumour-free resection margin of at least 1 mm. MSI was determined by PCR or immunohistochemistry (IHC). Loss of MMR proteins MLH1, PMS2, MSH2 or MSH6 on IHC was classified as MSI. A hereditary cancer syndrome was defined as diagnosis of a constitutive pathogenic variant on germline testing.

Statistical analysis

Continuous variables are presented as median (range), and were compared by Student’s t test or Mann–Whitney U test, depending on distribution. Categorical variables are reported as numbers with percentages, and were analysed using χ2 test or Fisher’s exact test, as appropriate. Survival statistics were calculated using the Kaplan–Meier method, and the log rank test was used to assess differences in survival between groups. Independent variables were entered into a multivariable binary logistic regression model. Variables found to be significant in univariable analysis, or with P < 0.100, were entered into the multivariable model. A significance level of 0.05 was used for all analyses; reported P values are two-tailed. Data were analysed using SPSS® version 24.0 (IBM, Armonk, New York, USA).

Results

Baseline demographics

A total of 650 patients aged less than 50 years and diagnosed with stage I–III colonic cancer were included. Median age was 43 (range 18–49) years and there were 332 men (51.1 per cent). Defined MSI was identified in 170 patients (26.2 per cent). The remaining 480 had MSS tumours. MSI was associated with younger age at diagnosis, a first-degree relative with colorectal cancer, and right-sided lesions (caecum and ascending colon), but not with sex or BMI. Demographics and clinical characteristics of the study population are summarized in Table 1.

Table 1

Comparison of demographics and clinicopathological data between microsatellite instability and microsatellite-stable groups

Overall
(n = 650)
Microsatellite instability
(n = 170)
Microsatellite-stable
(n = 480)
P
Ages (years)*43(18–49)40 (18–49)44 (19–49)<0.001‡
Men332 (51.1)111 (54.1)317 (50.1)0.176
BMI (kg/m2)*24.3 (13.3–58.6)24.6 (13.3–47.0)24.3 (16.0–58.6)0.079‡
Inflammatory bowel disease27 (4.2)5 (2.9)22 (4.6)1.000
First-degree relative with colorectal cancer127 (19.6)52 (30.7)75 (15.6)0.001
Tumour site
 Rectosigmoid junction98 (15.1)10 (5.9)88 (18.3)<0.001
 Sigmoid colon200 (30.8)41 (23.9)159 (33.1)0.015
 Descending colon50 (7.7)12 (7.3)38 (7.9)0.881
 Splenic flexure64 (9.8)21 (12.7)43 (9.0)0.144
 Transverse colon50 (7.7)13 (7.8)37 (7.9)1.000
 Hepatic flexure16 (2.5)7 (4.4)9 (1.9)0.080
 Ascending colon90 (13.8)32 (19.0)58 (12.1)0.019
 Caecum82 (12.6)34 (20.0)48 (10.0)0.001
Synchronous tumour pTNM stage6 (0.9)2 (1.2)4 (0.8)0.456
 I118 (18.2)27 (15.8)91 (19.0)0.418
 II235 (36.2)65 (38.2)170 (35.4)0.517
 III297 (45.7)78 (45.9)219 (45.6)1.000
Adjuvant chemotherapy408 (62.8)102 (60.0)306 (63.8)0.169
Overall
(n = 650)
Microsatellite instability
(n = 170)
Microsatellite-stable
(n = 480)
P
Ages (years)*43(18–49)40 (18–49)44 (19–49)<0.001‡
Men332 (51.1)111 (54.1)317 (50.1)0.176
BMI (kg/m2)*24.3 (13.3–58.6)24.6 (13.3–47.0)24.3 (16.0–58.6)0.079‡
Inflammatory bowel disease27 (4.2)5 (2.9)22 (4.6)1.000
First-degree relative with colorectal cancer127 (19.6)52 (30.7)75 (15.6)0.001
Tumour site
 Rectosigmoid junction98 (15.1)10 (5.9)88 (18.3)<0.001
 Sigmoid colon200 (30.8)41 (23.9)159 (33.1)0.015
 Descending colon50 (7.7)12 (7.3)38 (7.9)0.881
 Splenic flexure64 (9.8)21 (12.7)43 (9.0)0.144
 Transverse colon50 (7.7)13 (7.8)37 (7.9)1.000
 Hepatic flexure16 (2.5)7 (4.4)9 (1.9)0.080
 Ascending colon90 (13.8)32 (19.0)58 (12.1)0.019
 Caecum82 (12.6)34 (20.0)48 (10.0)0.001
Synchronous tumour pTNM stage6 (0.9)2 (1.2)4 (0.8)0.456
 I118 (18.2)27 (15.8)91 (19.0)0.418
 II235 (36.2)65 (38.2)170 (35.4)0.517
 III297 (45.7)78 (45.9)219 (45.6)1.000
Adjuvant chemotherapy408 (62.8)102 (60.0)306 (63.8)0.169

Values in parentheses are percentages unless indicated otherwise; *values are median (range). †χ2 test or Fisher’s exact test, except ‡Mann–Whitney U test.

Table 1

Comparison of demographics and clinicopathological data between microsatellite instability and microsatellite-stable groups

Overall
(n = 650)
Microsatellite instability
(n = 170)
Microsatellite-stable
(n = 480)
P
Ages (years)*43(18–49)40 (18–49)44 (19–49)<0.001‡
Men332 (51.1)111 (54.1)317 (50.1)0.176
BMI (kg/m2)*24.3 (13.3–58.6)24.6 (13.3–47.0)24.3 (16.0–58.6)0.079‡
Inflammatory bowel disease27 (4.2)5 (2.9)22 (4.6)1.000
First-degree relative with colorectal cancer127 (19.6)52 (30.7)75 (15.6)0.001
Tumour site
 Rectosigmoid junction98 (15.1)10 (5.9)88 (18.3)<0.001
 Sigmoid colon200 (30.8)41 (23.9)159 (33.1)0.015
 Descending colon50 (7.7)12 (7.3)38 (7.9)0.881
 Splenic flexure64 (9.8)21 (12.7)43 (9.0)0.144
 Transverse colon50 (7.7)13 (7.8)37 (7.9)1.000
 Hepatic flexure16 (2.5)7 (4.4)9 (1.9)0.080
 Ascending colon90 (13.8)32 (19.0)58 (12.1)0.019
 Caecum82 (12.6)34 (20.0)48 (10.0)0.001
Synchronous tumour pTNM stage6 (0.9)2 (1.2)4 (0.8)0.456
 I118 (18.2)27 (15.8)91 (19.0)0.418
 II235 (36.2)65 (38.2)170 (35.4)0.517
 III297 (45.7)78 (45.9)219 (45.6)1.000
Adjuvant chemotherapy408 (62.8)102 (60.0)306 (63.8)0.169
Overall
(n = 650)
Microsatellite instability
(n = 170)
Microsatellite-stable
(n = 480)
P
Ages (years)*43(18–49)40 (18–49)44 (19–49)<0.001‡
Men332 (51.1)111 (54.1)317 (50.1)0.176
BMI (kg/m2)*24.3 (13.3–58.6)24.6 (13.3–47.0)24.3 (16.0–58.6)0.079‡
Inflammatory bowel disease27 (4.2)5 (2.9)22 (4.6)1.000
First-degree relative with colorectal cancer127 (19.6)52 (30.7)75 (15.6)0.001
Tumour site
 Rectosigmoid junction98 (15.1)10 (5.9)88 (18.3)<0.001
 Sigmoid colon200 (30.8)41 (23.9)159 (33.1)0.015
 Descending colon50 (7.7)12 (7.3)38 (7.9)0.881
 Splenic flexure64 (9.8)21 (12.7)43 (9.0)0.144
 Transverse colon50 (7.7)13 (7.8)37 (7.9)1.000
 Hepatic flexure16 (2.5)7 (4.4)9 (1.9)0.080
 Ascending colon90 (13.8)32 (19.0)58 (12.1)0.019
 Caecum82 (12.6)34 (20.0)48 (10.0)0.001
Synchronous tumour pTNM stage6 (0.9)2 (1.2)4 (0.8)0.456
 I118 (18.2)27 (15.8)91 (19.0)0.418
 II235 (36.2)65 (38.2)170 (35.4)0.517
 III297 (45.7)78 (45.9)219 (45.6)1.000
Adjuvant chemotherapy408 (62.8)102 (60.0)306 (63.8)0.169

Values in parentheses are percentages unless indicated otherwise; *values are median (range). †χ2 test or Fisher’s exact test, except ‡Mann–Whitney U test.

Pathological features

MSI tumours were more likely to be poorly differentiated or undifferentiated (28.1 versus 21.2 per cent; P = 0.026), and to display signet ring morphology (10.9 versus 4.4 per cent; P = 0.013). They were less likely to exhibit lymphovascular (38.0 versus 47.5 per cent; P = 0.027) or extramural venous (31.7 versus 44.9 per cent; P = 0.008) invasion, whereas the rate of tumour budding was similar (20.3 versus 20.5 per cent; P = 1.000). The proportion of patients with pathological stage I–III disease did not differ significantly.

Molecular characteristics

BRAF (22.5 versus 6.9 per cent; P < 0.001) and KRAS (40.0 versus 24.2 per cent; P = 0.006) mutations were more common in the MSI group. MSI tumours were more likely to occur in the context of genetic predisposition. A hereditary cancer syndrome was diagnosed in 51 patients (30.0 per cent) with MSI tumours versus 24 (5.0 per cent) with MSS tumours (hazard ratio (HR) 8.14, 95 per cent c.i. 5.12 to 12.95; P < 0.001). Genetic testing had not been performed in 38 per cent at the time of data collection.

Survival

Overall median follow-up was 48 (range 1–221) months. Five-year overall survival rates in the MSI group were 100, 97, and 86 for patients with stage I, II, and III tumours respectively. Corresponding values in the MSS group were 98, 95, and 77 per cent. Five-year disease-free survival (DFS) rates in the MSI group were 95, 92, and 80 per cent for stage I, II, and III disease respectively, compared with 88, 88, and 65 per cent in the MSS group (P = 0.753, P = 0.487, and P = 0.105 respectively).

Disease recurrence

Seventeen patients (10.0 per cent) in the MSI group developed disease recurrence compared with 71 (14.8 per cent) in the MSS group (P = 0.053). Locoregional recurrence developed in 5 patients (2.9 per cent) in the MSI group and 18 (3.8 per cent) in the MSS group (P = 0.638), and distant disease in 16 (9.4 per cent) and 76 (15.8 per cent) respectively (P = 0.083). The median time to recurrence was 12 (range 1–84) months after surgery among patients with MSI tumours, and 13 (1–63) months in those with MSS tumours (P = 0.480).

Factors predictive of disease-specific outcomes

In univariable analysis, in the MSI group, lymphovascular and extramural venous invasion were associated with worse DFS (Table 2). Only extramural venous invasion was significant in multivariable analysis (HR 7.81, 95 per cent c.i. 1.89 to 32.22; P = 0.004). In the MSS group, R0 resection was significantly associated with better DFS in univariable analysis, whereas signet ring morphology, and lymphovascular, extramural, and perineural invasion were associated with worse DFS. In multivariable analysis, only lymphovascular invasion was significantly associated with worse DFS (HR 2.294, 1.36, 3.94; P = 0.003).

Table 2

Univariable logistic regression analysis of factors predicting disease-free survival

Microsatellite instabilityMicrosatellite-stable
Hazard ratioPHazard ratioP
Age0.997 (0.05, 1.04)0.8880.995 (0.97, 1.02)0.747
Poor differentiation1.185 (0.79, 1.79)0.4181.194 (0.98, 1.46)0.082
Tumour budding1.022 (0.19, 5.47)0.9801.133 (0.57, 2.19)0.711
Signet ring morphology2.933 (0.68, 12.65)0.1492.780 (1.17, 6.61)0.021
Mucin ≥50 (per cent)2.209 (0.74, 6.56)0.1531.718 (0.98, 3.02)0.060
Lymphovascular invasion3.357 (1.22, 9.25)0.0192.478 (1.67, 3.72)<0.001
Extramural vascular invasion4.494 (1.76, 12.55)0.0022.088 (1.38, 3.17)0.001
Perineural invasion2.682 (0.95, 7.54)0.0612.302 (1.52, 3.50)<0.001
R0 resection0.143 (0.01, 2.77)0.1980.510 (0.29, 0.89)0.018
Node-positive (pN)1.333 (0.50, 3.55)0.5651.171 (0.79, 1.74)0.437
Microsatellite instabilityMicrosatellite-stable
Hazard ratioPHazard ratioP
Age0.997 (0.05, 1.04)0.8880.995 (0.97, 1.02)0.747
Poor differentiation1.185 (0.79, 1.79)0.4181.194 (0.98, 1.46)0.082
Tumour budding1.022 (0.19, 5.47)0.9801.133 (0.57, 2.19)0.711
Signet ring morphology2.933 (0.68, 12.65)0.1492.780 (1.17, 6.61)0.021
Mucin ≥50 (per cent)2.209 (0.74, 6.56)0.1531.718 (0.98, 3.02)0.060
Lymphovascular invasion3.357 (1.22, 9.25)0.0192.478 (1.67, 3.72)<0.001
Extramural vascular invasion4.494 (1.76, 12.55)0.0022.088 (1.38, 3.17)0.001
Perineural invasion2.682 (0.95, 7.54)0.0612.302 (1.52, 3.50)<0.001
R0 resection0.143 (0.01, 2.77)0.1980.510 (0.29, 0.89)0.018
Node-positive (pN)1.333 (0.50, 3.55)0.5651.171 (0.79, 1.74)0.437

Values in parentheses are 95 per cent confidence intervals.

Table 2

Univariable logistic regression analysis of factors predicting disease-free survival

Microsatellite instabilityMicrosatellite-stable
Hazard ratioPHazard ratioP
Age0.997 (0.05, 1.04)0.8880.995 (0.97, 1.02)0.747
Poor differentiation1.185 (0.79, 1.79)0.4181.194 (0.98, 1.46)0.082
Tumour budding1.022 (0.19, 5.47)0.9801.133 (0.57, 2.19)0.711
Signet ring morphology2.933 (0.68, 12.65)0.1492.780 (1.17, 6.61)0.021
Mucin ≥50 (per cent)2.209 (0.74, 6.56)0.1531.718 (0.98, 3.02)0.060
Lymphovascular invasion3.357 (1.22, 9.25)0.0192.478 (1.67, 3.72)<0.001
Extramural vascular invasion4.494 (1.76, 12.55)0.0022.088 (1.38, 3.17)0.001
Perineural invasion2.682 (0.95, 7.54)0.0612.302 (1.52, 3.50)<0.001
R0 resection0.143 (0.01, 2.77)0.1980.510 (0.29, 0.89)0.018
Node-positive (pN)1.333 (0.50, 3.55)0.5651.171 (0.79, 1.74)0.437
Microsatellite instabilityMicrosatellite-stable
Hazard ratioPHazard ratioP
Age0.997 (0.05, 1.04)0.8880.995 (0.97, 1.02)0.747
Poor differentiation1.185 (0.79, 1.79)0.4181.194 (0.98, 1.46)0.082
Tumour budding1.022 (0.19, 5.47)0.9801.133 (0.57, 2.19)0.711
Signet ring morphology2.933 (0.68, 12.65)0.1492.780 (1.17, 6.61)0.021
Mucin ≥50 (per cent)2.209 (0.74, 6.56)0.1531.718 (0.98, 3.02)0.060
Lymphovascular invasion3.357 (1.22, 9.25)0.0192.478 (1.67, 3.72)<0.001
Extramural vascular invasion4.494 (1.76, 12.55)0.0022.088 (1.38, 3.17)0.001
Perineural invasion2.682 (0.95, 7.54)0.0612.302 (1.52, 3.50)<0.001
R0 resection0.143 (0.01, 2.77)0.1980.510 (0.29, 0.89)0.018
Node-positive (pN)1.333 (0.50, 3.55)0.5651.171 (0.79, 1.74)0.437

Values in parentheses are 95 per cent confidence intervals.

Comparison of sporadic MSI tumours and MSI tumours arising in the context of a hereditary cancer syndrome

A subgroup analysis of MSI tumours was undertaken comparing patients with sporadic tumours with those with tumours and a confirmed genetic predisposition. Of 170 patients with MSI tumours, genetic testing had been carried out in 95 at the time of data collection. A defined hereditary cancer syndrome was diagnosed in 51, whereas 44 had confirmed sporadic tumours. No significant differences in baseline demographics, clinical characteristics or pathological features were observed. As expected, patients with tumours arising in the context of a hereditary cancer syndrome were more likely to have a first-degree relative with colorectal cancer (35.5 versus 7.5 per cent; P = 0.001). Disease-specific survival did not differ significantly between the two groups. The 5-year DFS rate was 90 per cent for patients with a genetic predisposition compared with 86 per cent for those with sporadic disease (P = 0.792).

Discussion

The incidence of early-onset colorectal cancer is rising globally. Understanding the biological and pathological mechanisms is important for optimization of outcomes. This study compared the clinicopathological features and oncological outcomes of young patients with MSI and MSS colonic cancer. MSI was identified in one in four patients, and was associated with a family history of colorectal cancer, and lesions located in the proximal colon. Unlike in older age groups, there was no female preponderance, and the proportion of patients with pathological node-positive cancer was similar in the MSI and MSS groups. Patients with MSI had better disease-specific outcomes in all stages, although the differences observed were not statistically significant.

Multiple population-based studies, and systematic reviews18–21 have shown that patients with MSI colorectal cancers have better stage-adjusted survival than those with MSS disease. This survival advantage is despite an increased likelihood of high T status, poor differentiation or lack of differentiation, and mucinous histology among MSI tumours, all of which are suggestive of unfavourable tumour biology22. Plausible reasons for the apparent favourable prognosis of MSI cancers include less nodal positivity12. In the present study, however, young patients with MSI tumours had the same rate of stage III disease as those with MSS disease.

Poor prognostic pathological features in all-age MSI colorectal cancer have historically not been associated with poor outcome. In the present study, different unfavourable histopathological features were identified in MSI and MSS cancers. Poor differentiation and signet ring morphology were associated with MSI, whereas lymphovascular and extramural venous invasion were more common in MSS tumours. The rates of tumour budding, a biomarker of metastatic potential and negative prognostic indicator23,24, were similar. Several studies of all-age colorectal cancer have shown that tumour budding is less common in tumours with MSI25,26. BRAF and KRAS mutations were more frequent in MSI cancers, the clinical implication of which includes the potential for targeted molecular therapy.

Previous studies evaluating MSI as a prognostic marker have analysed patients of all ages, with relatively few cases of early-onset disease. The MSI group in the present study demonstrated better survival at all disease stages, although this did not reach statistical significance. Despite a relatively large cohort of patients, it is possible that the findings are due to a type II statistical error and lack of statistical power. The differences in survival rates however, are likely to be of clinical significance, in particular for patients with stage III disease, in whom the 5-year DFS rate was 80 per cent in the MSI group and 65 per cent in the MSS group. Larger numbers would be required to identify statistical significance.

Although the majority of young patients have sporadic disease, they are more likely to harbour genetic mutations and have a defined hereditary cancer syndrome than their older counterparts27–29. The prevalence estimates of hereditary cancer syndromes in patients with early-onset colorectal cancer range between 5 and 35 per cent, compared with 2–5 per cent of colorectal cancers overall30–32. MSI is a common feature of genetic predisposition, serving as a screening tool to identify patients who should undergo genetic testing for Lynch syndrome. Lynch syndrome, the most common hereditary cancer syndrome, is associated with a lifetime risk of colorectal cancer of between 50 and 70 per cent, and accounts for one-third of colorectal cancer cases in people aged less than 35 years32,33. In the present series, pathogenic constitutive variants were six times more common in the MSI group (1 in 3 patients) than the MSS group (1 in 20 patients). The clinical implications of identification of genetic predisposition include increased cancer surveillance, the potential for prophylactic risk-reducing surgery, and testing of at-risk relatives.

This study has limitations, including its retrospective nature, lack of a complete data set for the entire study group, and heterogeneity in treatment across the collaborative group. Larger numbers would be required to detect statistical significance in survival between patients with MSI and MSS tumours. Nonetheless, this study presents large-volume real-world data. Routine assessment of MSI for all colorectal cancers (regardless of family history) has been introduced only recently in many institutions, and data on young patients with MSI colonic cancer are lacking. Importantly, early-onset MSI tumours appear to show several differences compared with later-onset disease. Unlike in older age groups, MSI cancers in young patients are not associated with a female preponderance, and exhibit rates of node positivity and tumour budding similar to those of MSS tumours. They are more likely to have BRAF and KRAS mutations representing potential therapeutic targets. Despite the presence of these negative histopathological and molecular features, disease-specific survival is better than that for patients with MSS cancers. Increased understanding of the biological spectrum of MSI will guide oncotherapeutic decision-making and optimize survivorship.

Collaborators

REACCT Collaborative: Alexandra M. Zaborowski, Ahmed Abdile. Michel Adamina, Felix Aigner, Laura d'Allens, Caterina Allmer, Andrea Álvarez, Rocio Anula, Mihailo Andric, Sam Atallah Simon Bach, Miklosh Bala, Marie Barussaud, Augustinas Bausys, Andrew Beggs, Felipe Bellolio, Melissa-Rose Bennett, Anton Berdinskikh, Vicki Bevan, Sebastiano Biondo, Gabriele Bislenghi, Marc Bludau, Nelleke Brouwer, Carl Brown, Christiane Bruns, Daniel D. Buchanan, Pamela Buchwald, Jacobus W.A. Burger, Nikita Burlov, Michela Campanelli, Maylis Capdepont, Michele Carvello, Hwee-Hoon Chew, Dimitri Christoforidis, David Clark, Marta Climent, Rowan Collinson, Kyle G. Cologne, Tomas Contreras, Roland Croner, Ian R. Daniels, Giovanni Dapri, Justin Davies, Paolo Delrio, Quentin Denost, Michael Deutsch, Andre Dias, André D’Hoore, Evgeniy Drozdov, Daniel Duek, Malcolm Dunlop, Adam Dziki, Aleksandra Edmundson, Sergey Efetov, Alaa El-Hussuna, Brodie Elliot, Sameh Emile, Eloy Espin, Martyn Evans, Seraina Faes, Omar Faiz, Nuno Figueiredo, Fergal Fleming, Caterina Foppa, George Fowler, Matteo Frasson, Tim Forgan, Frank Frizelle, Shamil Gadaev, Jose Gellona, Tamara Glyn, Barisic Goran, Emma Greenwood, Marianne G. Guren, Stephanie Guillon, Ida Gutlic, Dieter Hahnloser, Heather Hampel, Ann Hanly, Hirotoshi Hasegawa, Lene Hjerrild Iversen, Andrew Hill, James Hill, Jiri Hoch, Roel Hompes, Luis Hurtado, Fabiano Iaquinandi, Ugne Imbrasaite, Rumana Islam, Mehrenah D Jafari, Andrea Jiménez Salido, Marta Jiménez-Toscano, Yukihide Kanemitsu, Aleksei Karachun, Ahmer A. Karimuddin, Deborah S. Keller, Justin Kelly, Rory Kennelly, Gleb Khrykov, Peter Kocian, Cherry Koh, Neils Kok, Katrina A. Knight, Joep Knol, Christos Kontovounisios, Hartwig Korner, Zoran Krivokapic, Irmgard Kronberger, Hidde Maarten Kroon, Marius Kryzauskas, Said Kural, Miranda Kusters, Zaher Lakkis, Timur Lankov, David Larson, György Lázár, Kai-Yin Lee, Suk Hwan Lee, Jérémie H. Lefèvre, Anna Lepisto, Christopher Lieu, Lynette Loi, Craig Lynch, Helene Maillou-Martinaud, Annalisa Maroli, Sean Martin, Anna Martling, Klaus E. Matzel, Julio Mayol, Frank McDermott, Guillaume Meurette, Monica Millan, Martin Mitteregger, Andrei Moiseenko, John RT. Monson, Stefan Morarasu, Konosuke Moritani, Gabriela Möslein, Martino Munini, Caio Nahas, Sergio Nahas, Ionut Negoi, Anastasia Novikova, Misael Ocares, Koji Okabayashi, Alexandra Olkina, Luis Oñate-Ocaña, Jaime Otero, Cihan Ozen, Ugo Pace, Guilherme Pagin São Julião, Lidiia Panaiotti, Yves Panis, Demetris Papamichael, Swati Patel, Juan Carlos Patrón Uriburu, Sze-Lin Peng, Miguel Pera, Rodrigo O. Perez, Alexei Petrov, Frank Pfeffer, Terry P. Phang, Tomas Poskus, Heather Pringle, David Proud, Ivana Raguz, Nuno Rama, Shahnawaz Rasheed, Manoj J. Raval, Daniela Rega, Christoph Reissfelder, Juan Carlos Reyes Meneses, Frederic Ris, Stefan Riss, Homero Rodriguez-Zentner, Campbell S Roxburgh, Avanish Saklani, Tarik Sammour, Deborah Saraste, Martin Schneider, Ryo Seishima, Aleksandar Sekulic, Toni Seppala, Kieran Sheahan, Alexandra Shlomina, Guiseppe Sigismondo, Tongplaew Singnomklao, Leandro Siragusa, Neil Smart, Alejandro Solis-Peña, Antonino Spinelli, Roxane D. Staiger, Michael J. Stamos, Scott Steele, Ker-Kan Tan, Pieter J Tanis, Paris Tekkis, Biniam Teklay, Sabrina Tengku, Petr Tsarkov, Matthias Turina, Alexis Ulrich, Bruna B. Vailati, Meike van Harten, Cornelis Verhoef, Satish Warrier, Steven Wexner, Hans de Wilt, Benjamin A. Weinberg, Cameron Wells, Albert Wolthuis, Evangelos Xynos, Nancy You, Alexander Zakharenko, Justino Zeballos, Jonathan Zhou, Des C. Winter.

Disclosure. The authors declare no conflict of interest.

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Author notes

Members of the REACCT Collaborative are co-authors of this study and are listed under the heading Collaborators.

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