Purpose: Recurrence risk assessment to make treatment decisions for early-stage colon cancer patients is a major unmet medical need. The aim of this retrospective multicenter study was to evaluate the clinical utility of guanylyl cyclase C (GCC) mRNA levels in lymph nodes on colon cancer recurrence.

Methods: The proportion of lymph nodes with GCC-positive mRNA (LNR) was evaluated in 463 untreated T3N0 patients, blinded to clinical outcomes. One site's (n = 97) tissue grossing method precluded appropriate lymph node assessment resulting in post hoc exclusion. Cox regression models tested the relationship between GCC and the primary endpoint of time to recurrence. Assay methods, primary analyses, and cut points were all prespecified.

Results: Final dataset contained 366 patients, 38 (10%) of whom had recurrence. Presence of four or more GCC-positive lymph nodes was significantly associated with risk of recurrence [hazard ratio (HR) = 2.46, 95% confidence interval (CI), 1.07–5.69, P = 0.035], whereas binary GCC LNR risk class (HR = 1.87, 95% CI, 0.99–3.54, P = 0.054) and mismatch repair (MMR) status (HR = 0.77, 95% CI, 0.36–1.62, P = 0.49) were not. In a secondary analysis using a 3-level GCC LNR risk group classification of high (LNR > 0.20), intermediate (0.10 < LNR ≤ 0.20), and low (LNR ≤ 0.10), high-risk patients had a 2.5 times higher recurrence risk compared with low-risk patients (HR = 2.53, 95% CI, 1.24–5.17, P = 0.011).

Conclusions: GCC status is a promising prognostic factor independent of traditional histopathology risk factors in a contemporary population of patients with stage IIa colon cancer not treated with adjuvant therapy, but GCC determination must be performed with methodology adapted to the tissue procurement and fixation technique. Clin Cancer Res; 20(16); 4361–9. ©2014 AACR.

Translational Relevance

This multicenter prospectively specified retrospective study provides evidence that the expression level of guanylyl cyclase C in lymph nodes is a promising determinant of recurrence in low-risk stage IIa colon cancer patients, independent of other traditional risk factors. Tumor burden in the lymph nodes has become more widely recognized by treating physicians as a key prognostic factor to determine the risk of recurrence of patients with cancer, and hence, to determine which patients might benefit most from adjuvant chemotherapy and which could be safely managed without chemotherapy.

For patients with colon cancer, prognosis after surgical resection is directly related to the status of regional lymph nodes. However, recurrence risk discrepancy exists among node-negative (pN0) colon cancer patients and the identification of a sensitive and specific prognostic marker is needed to aid the management of this heterogeneous population. About 42% of patients undergoing potentially curative surgery for colon cancer will have pN0 nodal status; however, approximately 15% to 20% of stage II patients will experience disease recurrence within 5 years (1–4). This phenomenon is likely due, at least in part, to the presence of undetected nodal metastasis during the initial pathologic examination, which predisposes patients with colon cancer to a higher risk of disease recurrence. The prognostic value of the molecular detection of occult disease in regional nodes has been supported in numerous studies involving pN0 colon cancer patients (5–7). Despite the importance of nodal status, there is no consensus on whether molecular detection of lymph node metastases is of clinical significance among patients with stage IIa colon cancer. The application of improved molecular methods to detect occult disease in regional nodes could enable better risk stratification between patients with stage IIa colon cancer who could be safely managed without adjuvant chemotherapy and those at higher risk of recurrence who potentially may benefit from further treatment.

It is well known that current histopathologic examination in lymph node-negative colon cancer patients is suboptimal to accurately identify patients at higher risk of disease recurrence. One way to overcome standard practice limitations is to increase sampling of the specimen and to identify clinically relevant lymph node metastases that may not have been observed by manual microscopic examination. As such, molecular detection of guanylyl cyclase C (GCC) may be a particularly sensitive and specific method for the detection of colorectal tumor cells in extraintestinal tissues and could identify pN0 colon cancer patients at increased recurrence risk (8–10). GCC is a human receptor for the gastrointestinal hormones, guanylin and uroguanylin, normally found in the luminal aspect of intestinal epithelium and whose expression is preserved in primary and metastatic colorectal cancer cells (11). Preliminary studies have suggested that the presence of GCC mRNA expression in lymph nodes increases the likelihood of colon cancer recurrence, independently of traditional high-risk features (12–14).

Tumor markers and gene signatures have also been evaluated to identify patients with a higher risk of recurrence. Deficiency of the mismatch repair (MMR) genes is of particular relevance in stage II colon cancer as these cancers have specific clinicopathologic features and better prognosis (15, 16). For patients with stage II colon cancer, dMMR tumors have lower recurrence risk and do not seem to benefit from fluorouracil-based adjuvant chemotherapy (17, 18).

The purpose of this study is to determine whether the ratio of GCC-expressing lymph nodes to the total number of lymph nodes examined (LNR) is a more powerful predictor of outcome than current risk factors such as lymphovascular invasion (LVI), MMR, or tumor grade. Our findings provide further insight into the clinical utility of molecular staging for predicting the risk of recurrence in lymph node-negative invasive colon cancer.

Patient selection

Patients from five United States, one Canadian, and two European sites were screened for inclusion into the study. Eligibility criteria required patients with histologically confirmed stage IIa (pT3N0) colon adenocarcinoma who had undergone curative surgical resection, were less than 80 years old at time of surgery, had negative surgical margins, 12 or more regional lymph nodes assessed, and a minimum of 3 years of follow-up data obtained by the treating physician or until the first occurring event of death or local or distant recurrence. Patients were ineligible if they had been treated with adjuvant chemotherapy or had rectal cancer. In total, 478 patients were identified whose surgical resection dated from 1999 to 2008, lymph node tissue blocks and follow-up information were available from 471 patients; eight cases were subsequently excluded as they did not meet the inclusion criteria (Fig. 1A). Of the resulting 463 eligible patients, microscopic examination of the hematoxylin and eosin (H&E)-stained slide was performed on 10,728 individual lymph nodes using standardized laboratory procedures to ensure absence of surrounding fat and connective tissue that might have contained bowel tissue, as these tissues could impact the quality of the RNA extraction and yield false-positive results. Following histologic review, one site that provided 97 evaluable patients (3,367 lymph nodes) was excluded after the primary analysis; due to the fact that the tissue grossing method used precluded appropriate lymph node assessment by current GCC quantification methods. The study was approved by the local Institutional Review Board of each participating institution.

Figure 1.

A, flowchart showing patient selection for GCC mRNA expression analysis by qRT-PCR. B, representative H&E sections from two different sites. Top, typical H&E section of lymph node tissues. Bottom, section from the excluded site.

Figure 1.

A, flowchart showing patient selection for GCC mRNA expression analysis by qRT-PCR. B, representative H&E sections from two different sites. Top, typical H&E section of lymph node tissues. Bottom, section from the excluded site.

Close modal

Tissue processing, RNA extraction, and GCC status determination

For each evaluable patient, H&E staining was prepared for all formalin-fixed, paraffin-embedded (FFPE) lymph node tissue blocks and verified centrally by qualified technicians with expertise in gastrointestinal pathology and blinded to clinical outcomes to confirm lymph node count and histology. Each lymph node retrieved from FFPE blocks was bisected, independently homogenized, and RNA was extracted as previously described (19, 20). First-strand cDNA was synthesised using gene-specific reverse primer 5′-CCAAAACTTCCAGCTGAGATCA-3′ for GCC (NM_004963) and 5′-ACTCTCGTCGGTGACTGTTCAG-3′ for β-glucuronidase (GUSB; NM_000181) as described by Sargent and colleagues (21). Subsequently, cDNA products were used to perform qRT-PCR and establish a cycle to threshold (Ct) value for GCC and GUSB using specific probes (5′-6FAM-CAGAATTGAGCTACCCC-MGBNFQ-3′ and 5′-VIC-TTTTGCCGATTTCATG-MGBNFQ-3′, respectively). As a measure of RNA integrity, specimens with a GUSB Ct level higher than 31 were considered noninformative and were excluded from further analysis. Individual lymph node status was determined by relative quantification of GCC and GUSB using the delta Ct methods (ΔCt = Ct GUSB − Ct GCC) with a validated cutoff (−5.9; ref. 21). Analytical numbers of GCC-positive lymph node as well as the ratio of number of GCC-positive lymph nodes over the total number of informative lymph nodes (LNR) were evaluated for association with recurrence risk. For the primary GCC LNR risk stratification, patients were classified as low risk if LNR ≤ 0.1, and high risk if LNR > 0.1. Alternatively, a 3-level risk categorization was applied to delineate the subset of pN0 patients thought to be at higher risk of recurrence using a LNR > 0.2 to define these high-risk patients.

MMR status determination

All tumors were reviewed and MMR status was evaluated centrally by a certified pathologist (T.-T. Wu) without knowledge of the clinical outcome. MMR status was assessed using IHC analysis of MLH1, MSH2, MSH6, and PMS2 protein expression as previously described (22, 23). Protein expression was defined as abnormal when nuclear staining of tumor cells was absent in the presence of positive staining in surrounding cells.

Statistical analysis

Time to recurrence (TTR), defined as time from surgery to first event of recurrence (local or distant), or death related to cancer, was the prespecified primary endpoint. Additional clinical endpoints examined include disease-free survival (DFS) defined as the time from surgery to first event of recurrence, new primary, or death due to any cause and overall survival (OS) defined time from surgery to death due to any cause. The distributions of TTR, DFS, and OS were estimated by the Kaplan–Meier method. Stratified Cox models (univariate and multivariate) were used to estimate unadjusted and adjusted HR, comparing the risk of recurrence and/or death between risk groups defined by GCC LNR values. The attained 366 patients and 38 events provide 80% power to detect a HR of at least 2.5 for the primary endpoint of TTR when 33% of patients are classified as “high risk,” using a two-sided stratified log-rank test at level 0.05 (assuming 5-year recurrence rate of 27% in the high-risk group). Statistical analyses were performed using Linux SAS software, version 9.2 (SAS Institute). P values <0.05 were considered statistically significant.

Patient characteristics

A total of 478 patients diagnosed as having histopathologically confirmed stage IIa colon cancer were identified before applying the exclusion criteria. Lymph node tissue blocks and follow-up information were retrieved from 471 of these patients and 463 were deemed eligible (Fig. 1A). Histologic review of blocks revealed that the tissue grossing method used at one site (n = 97) did not fully separate lymph node tissue from normal and/or tumoral bowel tissue before RNA extraction, resulting in a higher rate of false-positive results due to the presence of bowel tissue regardless of patient outcome (Fig. 1B). We therefore performed all subsequent analyses excluding this site. Demographic and clinicopathologic data of the 366 patients included in the final evaluable dataset are listed in Table 1. The final analytic cohort contained 366 patients, 38 (10.4%) had disease recurrence. Median follow-up in all patients was 57.5 (range 0.16–135.5) and 61.3 months in patients alive at last follow-up. Overall, 69% of patients (252/366) had at least one GCC-positive lymph node and about one-third of these patients (82/252) had four or more GCC-positive lymph nodes. A total of 358 patients also had tumor tissues available for MMR analysis with 101 patients (28%) identified with dMMR tumors (Table 1).

Table 1.

Patient demographics and clinicopathologic factors stratified by GCC LNR status

GCC LNR risk groups
Low riskHigh risk
No. of patientsNo. of eventsLNR ≤ 0.1LNR > 0.1P
Age at surgery, y     0.22a 
 ≤80, n (%) 366 (100%) 38 222 144  
 Median 68  67 70  
 Range 18–80  18–80 37–80  
Gender, n (%)     0.11b 
 Female 169 (46.2%) 19 110 (49.5%) 59 (41.0%)  
 Male 197 (53.8%) 19 112 (50.5%) 85 (59.0%)  
Surgery year group, n (%)     0.75b 
 1999–2003 123 (33.6%) 76 (34.2%) 47 (32.6%)  
 2004–2008 243 (66.4%) 29 146 (65.8%) 97 (67.4%)  
Tumor grade, n (%)     0.033b 
 Low (G1+G2) 321(88.7%) 32 187 (85.8%) 134 (93.1%)  
 High (G3+G4) 41 (11.3%) 31 (14.2%) 10 (6.9%)  
 Unknown   
Tumor location, n (%)c     0.19b 
 Right colon 192 (52.6%) 21 120 (54.1%) 72 (50.3%)  
 Left colon 122 (33.4%) 12 67 (30.2%) 55 (38.5%)  
 Transverse colon 51 (14.0%) 35 (15.8%) 16 (11.2%)  
LVI, n (%)     0.97b 
 Absent 331 (93.0%) 35 200 (93.0%) 131 (92.9%)  
 Present 25 (7.0%) 15 (7.0%) 10 (7.1%)  
 Unknown 10  
Lymph node assessed     0.79d 
 ≥12 lymph nodes, n (%) 366 (100%) 38 222 144  
 Median 18  18 18  
 Range 12–66  12–66 12–61  
MMR status, n (%)      
 pMMR 257 (71.8%) 29 146 (67.3%) 111 (78.7%) 0.019b 
 dMMR 101 (28.2%) 71 (32.7%) 30 (21.3%)  
 Missing —  
GCC LNR risk groups
Low riskHigh risk
No. of patientsNo. of eventsLNR ≤ 0.1LNR > 0.1P
Age at surgery, y     0.22a 
 ≤80, n (%) 366 (100%) 38 222 144  
 Median 68  67 70  
 Range 18–80  18–80 37–80  
Gender, n (%)     0.11b 
 Female 169 (46.2%) 19 110 (49.5%) 59 (41.0%)  
 Male 197 (53.8%) 19 112 (50.5%) 85 (59.0%)  
Surgery year group, n (%)     0.75b 
 1999–2003 123 (33.6%) 76 (34.2%) 47 (32.6%)  
 2004–2008 243 (66.4%) 29 146 (65.8%) 97 (67.4%)  
Tumor grade, n (%)     0.033b 
 Low (G1+G2) 321(88.7%) 32 187 (85.8%) 134 (93.1%)  
 High (G3+G4) 41 (11.3%) 31 (14.2%) 10 (6.9%)  
 Unknown   
Tumor location, n (%)c     0.19b 
 Right colon 192 (52.6%) 21 120 (54.1%) 72 (50.3%)  
 Left colon 122 (33.4%) 12 67 (30.2%) 55 (38.5%)  
 Transverse colon 51 (14.0%) 35 (15.8%) 16 (11.2%)  
LVI, n (%)     0.97b 
 Absent 331 (93.0%) 35 200 (93.0%) 131 (92.9%)  
 Present 25 (7.0%) 15 (7.0%) 10 (7.1%)  
 Unknown 10  
Lymph node assessed     0.79d 
 ≥12 lymph nodes, n (%) 366 (100%) 38 222 144  
 Median 18  18 18  
 Range 12–66  12–66 12–61  
MMR status, n (%)      
 pMMR 257 (71.8%) 29 146 (67.3%) 111 (78.7%) 0.019b 
 dMMR 101 (28.2%) 71 (32.7%) 30 (21.3%)  
 Missing —  

NOTE: Bold P-values show statistical significance at 0.05 level.

aTwo-sample t test.

bχ2 test.

cOne patient excluded because of having both right and transverse tumor location, this patient was a high risk (LNR > 0.1).

dWilcoxon rank-sum test.

Association between GCC and clinicopathological factors

Of the 366 patients, 222 (61%) had GCC LNR value of 0.1 or less and were grouped into the low-risk category. Patients in the low-risk group were more likely to have a high histology grade (G3-G4) tumor (14.2% vs. 6.9%; P = 0.033), and more likely to have a dMMR tumor than patients with high GCC LNR value (32.7% vs. 21.3%; P = 0.019).

GCC classification and recurrence risk prediction

Univariate and multivariate results for each factor included in the Cox proportional hazards regression are shown in Table 2. On the basis of the prospectively specified binary GCC LNR classification, a nonsignificant trend toward increased risk of recurrence was found for patients with a GCC LNR value above 0.1 [HR = 1.87, 95% confidence interval (CI), 0.99–3.54, P = 0.054; Table 2]. Patients with lower GCC LNR values (LNR ≤ 0.1) had significantly better DFS compared with patients in the high-risk group (LNR > 0.1, 84% vs. 66%; HR = 1.61, 95% CI, 1.05–2.47, P = 0.030; Fig. 2).

Figure 2.

Kaplan–Meier estimates for (A) recurrence-free survival and (B) DFS using the prospectively specified binary GCC LNR classification. Multivariate analysis adjusted for age, gender, grade, number of lymph nodes examined, MMR status, presence of LVI, and continuous GCC LNR values.

Figure 2.

Kaplan–Meier estimates for (A) recurrence-free survival and (B) DFS using the prospectively specified binary GCC LNR classification. Multivariate analysis adjusted for age, gender, grade, number of lymph nodes examined, MMR status, presence of LVI, and continuous GCC LNR values.

Close modal
Table 2.

Unadjusted and adjusted association between prognostic factors and TTR

Univariate (n = 366)Multivariatea (n = 344b)
No. of eventsNo. of casesHR (95% CI)PNo. of eventsNo. of casesHR (95% CI)P
Age, continuous (per year) 38 366 1.03 (1.00c–1.07) 0.057 38 344 1.03 (1.00c–1.07) 0.065 
Gender         
 Female 19 169 1.08 (0.57–2.04) 0.81 19 162 1.23 (0.62–2.42) 0.56 
 Male 19 197 Ref. — 19 182 Ref. — 
Tumor grade 
 High 41 1.52 (0.64–3.64) 0.34 41 2.04 (0.76–5.48) 0.16 
 Low 32 321 Ref. — 32 303 Ref. — 
LVI 
 Present 25 1.21 (0.37–3.94) 0.75 25 1.09 (0.31–3.88) 0.89 
 Absent 35 331 Ref. — 35 319 Ref. — 
MMR status, n (%) 
 dMMR 101 0.77 (0.36–1.62) 0.49 99 0.59 (0.25–1.39) 0.23 
 pMMR 29 257 Ref. — 29 245 Ref. — 
No. of nodes examined, continuous (per node) 38 366 0.97 (0.93–1.02) 0.24 38 344 0.98 (0.93–1.02) 0.34 
Number of GCC-positive nodes 
 4+ 14 82 2.46 (1.07–5.69) 0.035 14 82 2.89 (1.20–6.97) 0.02 
 1–3 15 170 1.16 (0.51–2.65) 0.72 15 170 1.02 (0.38–2.77) 0.55 
 0 114 Ref. — 114 Ref. — 
GCC LNR, continuous (per 0.1 unit) 38 366 1.21 (1.04–1.41) 0.016 38 344 1.22 (1.04–1.43) 0.018 
GCC LNR, 2-level risk group 
 High 20 144 1.87 (0.99–3.54) 0.054 20 138 1.82 (0.94–3.51) 0.07 
 Low 18 222 Ref. — 18 206 Ref. — 
GCC LNR, 3-level risk group 
 High 15 80 2.59 (1.31–5.15) 0.007 15 77 2.53 (1.24–5.17) 0.011 
 Intermediate 64 1.02 (0.38–2.75) 0.97 61 1.02 (0.38–2.77) 0.97 
 Low 18 222 Ref. — 18 206 Ref. — 
Univariate (n = 366)Multivariatea (n = 344b)
No. of eventsNo. of casesHR (95% CI)PNo. of eventsNo. of casesHR (95% CI)P
Age, continuous (per year) 38 366 1.03 (1.00c–1.07) 0.057 38 344 1.03 (1.00c–1.07) 0.065 
Gender         
 Female 19 169 1.08 (0.57–2.04) 0.81 19 162 1.23 (0.62–2.42) 0.56 
 Male 19 197 Ref. — 19 182 Ref. — 
Tumor grade 
 High 41 1.52 (0.64–3.64) 0.34 41 2.04 (0.76–5.48) 0.16 
 Low 32 321 Ref. — 32 303 Ref. — 
LVI 
 Present 25 1.21 (0.37–3.94) 0.75 25 1.09 (0.31–3.88) 0.89 
 Absent 35 331 Ref. — 35 319 Ref. — 
MMR status, n (%) 
 dMMR 101 0.77 (0.36–1.62) 0.49 99 0.59 (0.25–1.39) 0.23 
 pMMR 29 257 Ref. — 29 245 Ref. — 
No. of nodes examined, continuous (per node) 38 366 0.97 (0.93–1.02) 0.24 38 344 0.98 (0.93–1.02) 0.34 
Number of GCC-positive nodes 
 4+ 14 82 2.46 (1.07–5.69) 0.035 14 82 2.89 (1.20–6.97) 0.02 
 1–3 15 170 1.16 (0.51–2.65) 0.72 15 170 1.02 (0.38–2.77) 0.55 
 0 114 Ref. — 114 Ref. — 
GCC LNR, continuous (per 0.1 unit) 38 366 1.21 (1.04–1.41) 0.016 38 344 1.22 (1.04–1.43) 0.018 
GCC LNR, 2-level risk group 
 High 20 144 1.87 (0.99–3.54) 0.054 20 138 1.82 (0.94–3.51) 0.07 
 Low 18 222 Ref. — 18 206 Ref. — 
GCC LNR, 3-level risk group 
 High 15 80 2.59 (1.31–5.15) 0.007 15 77 2.53 (1.24–5.17) 0.011 
 Intermediate 64 1.02 (0.38–2.75) 0.97 61 1.02 (0.38–2.77) 0.97 
 Low 18 222 Ref. — 18 206 Ref. — 

NOTE: Bold P-values show statistical significance at 0.05 level.

aPrognostic factors adjusted for continuous GCC LNR in multivariate model.

b344 of 366 patients have complete data on all covariates.

cUnrounded value > 0.99 and < 1.0.

When the alternative 3-level risk classification was used to stratify the GCC LNR values, a significant association with the risk of recurrence was observed for GCC high-risk group versus low risk (HR = 2.59; 95% CI, 1.31–5.15, P = 0.007). The prognostic value of the 3-level risk classification remained significant after adjustment for covariates, including tumor grade, number of lymph nodes examined, MMR status, and LVI (HR = 2.53; 95% CI, 1.24–5.17, P = 0.011). Furthermore, patients in the low-risk group (LNR ≤ 0.1) had significantly improved OS and DFS than patients in the high-risk group (LNR > 0.2; Supplementary Table S1).

In multivariate analysis, the risk of recurrence was also significantly associated with the presence of four or more GCC-positive nodes (vs. 0 positive nodes, HR = 2.89; 95% CI, 1.20–6.97, P = 0.02 and the continuous GCC LNR, HR = 1.22; 95% CI, 1.04–1.43, P = 0.018). However, MMR status alone was not significantly associated with TTR (HR = 0.77; 95% CI, 0.36–1.62, P = 0.49). In addition, MMR status did not affect TTR in patients classified in GCC LNR high- or low-risk groups (Supplementary Table S2).

Although presence of lymph node metastases remains the strongest prognostic predictor in nonmetastatic colon cancer, prognostic stratification of low-risk stage IIa colon cancer patients remains a clinically important and controversial issue. Recently, multiple studies have demonstrated that there is an increased risk of recurrence associated with occult metastases in lymph node-negative colon cancer (7, 24, 25). In a systematic review with a cumulative sample size of 4,087 patients, Rahbari and colleagues reported that molecular detection of occult disease in regional nodes is associated with an increased risk of disease recurrence and poor survival in pN0 patients (25). Similarly, Bilchik and colleagues (26) reported a significantly increased recurrence rate of 22% in patients with micrometastases versus 6% without micrometastases, and Faerden and colleagues (27) reported a 5-year recurrence rate of 23% in patients with micrometastases compared with 7% without micrometastases, respectively. The prognostic value of molecular detection of occult disease was further demonstrated in a prospective study of 257 patients in which node-negative colorectal cancer patients harboring molecular-positive metastases behaved similarly to lymph node-positive patients in terms of recurrence and molecular features (14).

The analytical validity of the GCC qRT-PCR assay and its application to FFPE tissue samples was previously demonstrated by Haince and colleagues in 2010 (19) and confirmed by Sargent and colleagues in 2011 (21). In the first study involving 123 patients with colon cancer who had undergone curative surgical resection, patients with pN0 disease whose lymph nodes were GCC positive were more than twice as likely to relapse when compared with patients with GCC-negative nodes (HR = 3.54; P = 0.008) and had recurrence rates similar to those observed with stage III colon cancer (19). The second study included 241 untreated patients with stage II colon cancer with at least ten lymph nodes examined and showed that the GCC LNR status significantly predicted higher recurrence risk for 84 patients (34.9%) classified as high risk (HR = 2.38; P = 0.02; ref. 21). In the subset of 181 patients with traditionally favorable prognostic factors, that is, an invasive T3 tumor and 12 or more lymph nodes examined, the high-risk group had a five times greater likelihood of recurrence than the low-risk group (HR = 5.06; P = 0.003).

In the present study, molecular staging identified that 69% of patients had at least one GCC-positive node and 39% had a GCC LNR value >0.1 and were thus grouped into the high-risk category. Strengths of the study include a modern cohort of untreated low-risk stage IIa colon cancer patients, long-term follow-up, high nodal sampling, and protocol specification of all primary analyses. Although the exclusion of 97 patients from a single site was post hoc, this was deemed necessary due to the incompatibility with the established GCC testing methodology. The previously demonstrated 2-level risk classification was significantly associated with outcome only for DFS. The prognostic value of the 3-level GCC LNR risk stratification was also evaluated as a post hoc analysis in the context of a comparison with the analytical number of GCC-positive lymph node. Final analysis demonstrated that in addition to the analytical number of GCC-positive lymph nodes, the 3-level GCC LNR risk classification significantly predicted poorer outcomes in both univariate and multivariate analysis. It is noteworthy that LVI and tumor grade were not significantly associated with recurrence risk, while these risk factors have previously been shown to have prognostic impact in stage II colon cancer (4).

Advances in genomic evaluation of tumor tissues have also brought new opportunities for identifying prognostic and predictive markers. As reported in a recent pooled analysis of patients with stage II and stage III disease, MMR status has emerged as a relevant marker to select patients who have improved DFS when treated with surgery alone (16). Surprisingly, MMR status was not significantly associated with recurrence risk in this cohort. Potential reasons for this result, which differs from most recent MMR-related publications, include that the present study was performed in an older patient population, with a greater number of nodes sampled, and in a cohort with an overall lower recurrence rate when compared with clinical trial-based patient cohorts.

During the last few years, gene signatures have been developed from FFPE tumor samples to identify patients with stage II colon cancer who are at higher risk of disease recurrence (28–32). The study by Gray and colleagues (28) was designed as a validation study based on prospectively specified retrospective analyses of the QUASAR (QUick And Simple And Reliable) trial. The Oncotype Dx Colon Cancer (Genomic Health) multigene algorithm identified a 5-year risk of recurrence of 12% and 22% between low- and high-risk patients, respectively. However, the generalizability of the QUASAR study validation to current stage II patients may be limited by differences in lymph node sampling, as a median of only six lymph nodes was examined in the Gray and colleagues study. Although using slightly different Recurrence Score (RS) cut points than initially defined in QUASAR, the Venook and colleagues validation study of the 12-gene RS in CALGB 9581 confirmed the risk discrimination of Oncotype Dx in stage II patients (risk ranged 9%–26%; ref. 30). On the basis of a different prognostic assay, Kennedy and colleagues (29) reported that the 634-probes signature used in the ColDx test (Almac Diagnostics) also had the ability to discriminate risk of recurrence in patients with stage II colon cancer (HR = 2.53; P = 0.003). However, these findings did not account for the MMR characterization, and the sample size of the validation set was limited and enriched for recurrence (29). The relative merit of enhanced nodal characterization versus genomic profiling of the primary tumor is a critical question for future study.

In practice, adjuvant therapy is generally considered for lymph node-negative colon cancer patients believed to have higher recurrence risk, based on the expectation that high-risk patients may derive larger absolute benefits. The current study provides strong evidence that molecular detection of GCC in lymph nodes offers quantitative information about individual recurrence risk which has not been available with conventional methods. Nevertheless, molecular staging based on the determination of the GCC LNR status in patients with stage IIa colon cancer who have had adequate nodal sampling must be performed with methodology adapted to the tissue procurement and fixation technique before being considered for clinical application. Measuring GCC mRNA expression in lymph nodes offers a practical approach to the individualization of recurrence risk assessment that could improve staging of node-negative colon cancer and may help to further reduce the use of unnecessary adjuvant chemotherapy in low-risk patients who have little likelihood to benefit from such treatment.

R.B. Everson is an employee of Precision Staging and reports receiving a commercial research grant from Diagnocure. P. Validire reports receiving a commercial research grant from Diagnocure. No potential conflicts of interest were disclosed by the other authors.

Conception and design: D.J. Sargent, S. Gill, T. Clancy, M.B. Resnick, P. Validire, Y. Fradet

Development of methodology: D.J. Sargent, Q. Shi, D. Huntsman, P. Validire, G. Beaudry, J.-F. Haince

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): D.J. Sargent, S. Gill, C. Louvet, R.B. Everson, U. Kellner, T. Clancy, J.M. Pipas, M.B. Resnick, M.O. Meyers, T.-T. Wu, U. Farooq, G. Beaudry, J.-F. Haince, Y. Fradet

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): D.J. Sargent, Q. Shi, R.B. Everson, U. Kellner, T. Clancy, M.B. Resnick, P. Validire, E. Pavey

Writing, review, and/or revision of the manuscript: D.J. Sargent, Q. Shi, S. Gill, C. Louvet, R.B. Everson, U. Kellner, T. Clancy, J.M. Pipas, M.B. Resnick, M.O. Meyers, P. Validire, U. Farooq, E. Pavey, G. Beaudry, J.-F. Haince, Y. Fradet

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): D.J. Sargent, Q. Shi, P. Validire, E. Pavey, J.-F. Haince

Study supervision: D.J. Sargent, P. Validire, G. Beaudry

The sponsor of the study had no role in study design, data analysis, or data interpretation and they were blinded to clinical outcomes.

The authors thank the research staff from BC Cancer Agency Centre for Translational and Applied Genomics (CTAG) Laboratory for the preparation of their tissues, Drs. Andrew Salner and Richard W. Cartun of Hartford Hospital, George H. Barrows, St. Francis Hospital and Medical Center, Hartford, CT, and Mary M. Sanders at the University of Connecticut Health Center for help with accrual of patients at hospitals affiliated with the University of Connecticut (Farmington, CT), and DiagnoCure Laboratory personnel for their contribution to this study.

DiagnoCure provided support for data collection, processing of the samples, and data analyses.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Allegra
CJ
,
Yothers
G
,
O'Connell
MJ
,
Sharif
S
,
Petrelli
NJ
,
Colangelo
LH
, et al
Phase III trial assessing bevacizumab in stages II and III carcinoma of the colon: results of NSABP protocol C-08
.
J Clin Oncol
2011
;
29
:
11
6
.
2.
Jemal
A
,
Siegel
R
,
Ward
E
,
Hao
Y
,
Xy
J
,
Murray
T
, et al
Cancer statistics, 2008
.
CA Cancer J Clin
2008
;
58
:
71
96
.
3.
O'Connell
JB
,
Maggard
MA
,
Ko
CY
. 
Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging
.
J Natl Cancer Inst
2004
;
96
:
1420
5
.
4.
O'Connor
ES
,
Greenblatt
DY
,
Loconte
NK
,
Gangnon
RE
,
Liou
JI
,
Heise
CP
, et al
Adjuvant chemotherapy for stage II colon cancer with poor prognostic features
.
J Clin Oncol
2011
;
29
:
3381
8
.
5.
Liefers
GJ
,
Cleton-Jansen
AM
,
van de Velde
CJH
,
Hermans
J
,
van Krieken
JHJM
,
Cornelisse
CJ
, et al
Micrometastases and survival in stage II colorectal cancer
.
N Engl J Med
1998
;
339
:
223
8
.
6.
Koyanagi
K
,
Bilchik
AJ
,
Saha
S
,
Turner
RR
,
Wiese
D
,
McCarter
M
, et al
Prognostic relevance of occult nodal micrometastases and circulating tumor cells in colorectal cancer in a prospective multicenter trial
.
Clin Cancer Res
2008
;
14
:
7391
6
.
7.
Hyslop
T
,
Weinberg
DS
,
Schulz
S
,
Barkun
A
,
Waldman
SA
. 
Occult tumor burden predicts disease recurrence in lymph node-negative colorectal cancer
.
Clin Cancer Res
2011
;
17
:
3293
303
.
8.
Frick
GS
,
Pitari
GM
,
Weinberg
DS
,
Hyslop
T
,
Schulz
S
,
Waldman
SA
. 
Guanylyl cyclase C: a molecular marker for staging and postoperative surveillance of patients with colorectal cancer
.
Expert Rev Mol Diagn
2005
;
5
:
701
13
.
9.
Mejia
A
,
Schulz
S
,
Hyslop
T
,
Weinberg
DS
,
Waldman
SA
. 
GUCY2C reverse transcriptase PCR to stage pN0 colorectal cancer patients
.
Expert Rev Mol Diagn
2009
;
9
:
777
85
.
10.
Waldman
SA
,
Cagir
B
,
Rakinic
J
,
Fry
RD
,
Goldstein
SD
,
Isenberg
G
, et al
Use of guanylyl cyclase C for detecting micrometastases in lymph nodes of patients with colon cancer
.
Dis Colon Rectum
1998
;
41
:
310
5
.
11.
Carrithers
SL
,
Barber
MT
,
Biswas
S
,
Parkinson
SJ
,
Park
PK
,
Goldstein
SD
, et al
Guanylyl cyclase C is a selective marker for metastatic colorectal tumors in human extraintestinal tissues
.
Proc Natl Acad Sci U S A
1996
;
93
:
14827
32
.
12.
Cagir
B
,
Gelmann
A
,
Park
J
,
Fava
T
,
Tankelevitch
A
,
Bittner
EW
, et al
Guanylyl cyclase C messenger RNA is a biomarker for recurrent stage II colorectal cancer
.
Ann Intern Med
1999
;
131
:
805
12
.
13.
Schulz
S
,
Hyslop
T
,
Haaf
J
,
Bonaccorso
C
,
Nielsen
K
,
Witek
ME
, et al
A validated quantitative assay to detect occult micrometastases by reverse transcriptase-polymerase chain reaction of guanylyl cyclase C in patients with colorectal cancer
.
Clin Cancer Res
2006
;
12
:
4545
52
.
14.
Waldman
SA
,
Hyslop
T
,
Schulz
S
,
Barkun
A
,
Nielsen
K
,
Haaf
J
, et al
Association of GUCY2C expression in lymph nodes with time to recurrence and disease-free survival in pN0 colorectal cancer
.
JAMA
2009
;
301
:
745
52
.
15.
Ribic
CM
,
Sargent
DJ
,
Moore
MJ
,
Thibodeau
SN
,
French
AJ
,
Goldberg
RM
, et al
Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer
.
N Engl J Med
2003
;
349
:
247
57
.
16.
Sargent
DJ
,
Marsoni
S
,
Monges
G
,
Thibodeau
SN
,
Labianca
R
,
Hamilton
SR
, et al
Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer
.
J Clin Oncol
2010
;
28
:
3219
26
.
17.
Hutchins
G
,
Southward
K
,
Handley
K
,
Magill
L
,
Beaumont
C
,
Stahlschmidt
J
, et al
Value of mismatch repair, KRAS, and BRAF mutations in predicting recurrence and benefits from chemotherapy in colorectal cancer
.
J Clin Oncol
2011
;
29
:
1261
70
.
18.
Sinicrope
FA
,
Sargent
DJ
. 
Clinical implications of microsatellite instability in sporadic colon cancers
.
Curr Opin Oncol
2009
;
21
:
369
73
.
19.
Haince
JF
,
Houde
M
,
Beaudry
G
,
L'esperance
S
,
Garon
G
,
Desaulniers
M
, et al
Comparison of histopathology and RT-qPCR amplification of guanylyl cyclase C for detection of colon cancer metastases in lymph nodes
.
J Clin Pathol
2010
;
63
:
530
7
.
20.
Beaulieu
M
,
Desaulniers
M
,
Bertrand
N
,
Deschesnes
RG
,
Beaudry
G
,
Garon
G
, et al
Analytical performance of a qRT-PCR assay to detect guanylyl cyclase C in FFPE lymph nodes of patients with colon cancer
.
Diagn Mol Pathol
2010
;
19
:
20
7
.
21.
Sargent
DJ
,
Resnick
MB
,
Meyers
MO
,
Goldar-Najafi
A
,
Clancy
T
,
Gill
S
, et al
Evaluation of guanylyl cyclase C lymph node status for colon cancer staging and prognosis
.
Ann Surg Oncol
2011
;
18
:
3261
70
.
22.
Cunningham
JM
,
Kim
CY
,
Christensen
ER
,
Tester
DJ
,
Parc
Y
,
Burgart
LJ
, et al
The frequency of hereditary defective mismatch repair in a prospective series of unselected colorectal carcinomas
.
Am J Hum Genet
2001
;
69
:
780
90
.
23.
Gill
S
,
Lindor
NM
,
Burgart
LJ
,
Smalley
R
,
Leontovich
O
,
French
AJ
, et al
Isolated loss of PMS2 expression in colorectal cancers: frequency, patient age, and familial aggregation
.
Clin Cancer Res
2005
;
11
:
6466
71
.
24.
Nicastri
DG
,
Doucette
JT
,
Godfrey
TE
,
Hughes
SJ
. 
Is occult lymph node disease in colorectal cancer patients clinically significant?: a review of the relevant literature
.
J Mol Diagn
2007
;
9
:
563
71
.
25.
Rahbari
NN
,
Bork
U
,
Motschall
E
,
Thorlund
K
,
Buchler
MW
,
Koch
M
, et al
Molecular detection of tumor cells in regional lymph nodes is associated with disease recurrence and poor survival in node-negative colorectal cancer: a systematic review and meta-analysis
.
J Clin Oncol
2012
;
30
:
60
70
.
26.
Bilchik
AJ
,
Hoon
DS
,
Saha
S
,
Turner
RR
,
Wiese
D
,
Dinome
M
, et al
Prognostic impact of micrometastases in colon cancer: interim results of a prospective multicenter trial
.
Ann Surg
2007
;
246
:
568
75
.
27.
Faerden
AE
,
Sjo
OH
,
Bukholm
IR
,
Andersen
SN
,
Svindland
A
,
Nesbakken
A
, et al
Lymph node micrometastases and isolated tumor cells influence survival in stage I and II colon cancer
.
Dis Colon Rectum
2011
;
54
:
200
6
.
28.
Gray
RG
,
Quirke
P
,
Handley
K
,
Lopatin
M
,
Magill
L
,
Baehner
FL
, et al
Validation study of a quantitative multigene reverse transcriptase-polymerase chain reaction assay for assessment of recurrence risk in patients with stage II colon cancer
.
J Clin Oncol
2011
;
29
:
4611
9
.
29.
Kennedy
RD
,
Bylesjo
M
,
Kerr
P
,
Davison
T
,
Black
JM
,
Kay
EW
, et al
Development and independent validation of a prognostic assay for stage II colon cancer using formalin-fixed paraffin-embedded tissue
.
J Clin Oncol
2011
;
29
:
4620
6
.
30.
Venook
AP
,
Niedzwiecki
D
,
Lopatin
M
,
Ye
X
,
Lee
M
,
Friedman
PN
, et al
Biologic determinants of tumor recurrence in stage II colon cancer: validation study of the 12-gene recurrence score in cancer and leukemia group B (CALGB) 9581
.
J Clin Oncol
2013
;
31
:
1775
81
.
31.
Agesen
TH
,
Sveen
A
,
Merok
MA
,
Lind
GE
,
Nesbakken
A
,
Skotheim
RI
, et al
ColoGuideEx: a robust gene classifier specific for stage II colorectal cancer prognosis
.
Gut
2012
;
61
:
1560
7
.
32.
Salazar
R
,
Roepman
P
,
Capella
G
,
Moreno
V
,
Simon
I
,
Dreezen
C
, et al
Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer
.
J Clin Oncol
2010
;
29
:
17
24
.