Testing for Colorectal Cancer Management - CAM 307

Description:
Colorectal cancer (CRC) involves the accumulation of genetic and epigenetic modifications within pathways that regulate proliferation, apoptosis, and angiogenesis resulting in carcinoma of the colon and rectum (Bardhan & Liu, 2013). Tumors originate in adenomas or flat dysplasia and evolve into different morphologic patterns with invasion and expansion (Compton, 2023).

Monoclonal antibodies that bind the epidermal growth factor receptor (EGFR), such as cetuximab, and block its activation have led to significant clinical benefits for metastatic colorectal cancer (mCRC) patients (De Roock et al., 2010). Mutations in downstream effectors of the EGFR pathway have been associated with resistance to EGFR antibody chemotherapies (Allegra et al., 2009; Compton, 2022; Sepulveda et al., 2017). 

Policy:
Application of coverage criteria is dependent upon an individual’s benefit coverage at the time of the request. 

  1. For all individuals with metastatic colorectal cancer, KRAS, NRAS, and BRAF mutation genotyping of the primary or the metastatic tumor is considered MEDICALLY NECESSARY.
  2. For individuals with metastatic colorectal cancer for whom tumor tissue testing did not identify a mutation in KRAS, NRAS, or BRAF, HER2 amplification testing is considered MEDICALLY NECESSARY.

The following does not meet coverage criteria due to a lack of available published scientific literature confirming that the test(s) is/are required and beneficial for the diagnosis and treatment of an individual’s illness.

  1. For all other situations not described above, testing for KRAS, NRAS, and BRAF mutations is considered NOT MEDICALLY NECESSARY.
  2. For all other situations and/or mutations not described above, genotyping of the colorectal cancer tumor is considered NOT MEDICALLY NECESSARY.
  3. To determine the prognosis of stage II colon cancer following surgery, gene expression profiling is considered NOT MEDICALLY NECESSARY.

 

NOTES:

Note: For 2 or more gene tests being run on the same platform, please refer to CAM 235-Reimbursement Policy.

Table of Terminology

Term

Definition

ASCO

American Society of Clinical Oncology

ACS

American Cancer Society

BRAF

B-Raf proto-oncogene

CEA

Carcinoembryonic antigen

CLIA-1988

Clinical Laboratory Improvement Amendments of 1988

CNA

Copy number alteration

CRC

Colorectal cancer

ctDNA

Circulating tumor deoxyribonucleic acid

DFS

Disease free survival

dMMR

Deficient MMR

EGAPP

Evaluation of Genomic Applications in Practice and Prevention

EGFR

Epidermal growth factor receptor

ERBB2

Erb-B2 Receptor Tyrosine Kinase 2

ESCP

European Society of Coloproctology

ESMO

European Society for Medical Oncology

EWG

European Working Group

1F1CDx

Foundation One Cdx

FDA

Food and Drug Administration

FFPE

Formalin-fixed paraffin-embedded

FISH

Fluorescence in-situ hybridization

FOLFOX4

5-fluorouracil, leucovorin, and oxaliplatin

HER2

Human epidermal growth factor receptor 2

HR

Hazard ratios

ICI

Immune checkpoint inhibition

IHC

Immunohistochemistry

KRAS

Kirsten rat sarcoma

LDTs

Laboratory-developed tests

mAbs

Monoclonal antibodies

mCRC

Metastatic colorectal cancer

MMR

Mismatch repair

MMR-P

Mismatch repair proficient

MPFS

Median progression free survival

MSI

Microsatellite instability

NCCN

National Comprehensive Cancer Network

NGS

Next-generation sequencing

NICE

National Institute for Health and Care Excellence

NRAS

Neuroblastoma rat sarcoma virus

NSABP

National Surgical Adjuvant Breast and Bowel Project

OR

Odds ratio

ORR

Objective response rate

OS

Overall survival

PCO

Provisional clinical opinion

PCR

Polymerase chain reaction

PFS

Progression-free survival rate

PIK3CA

Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Alpha

PL

Plasma

PTEN

Phosphatase and TENsin homolog deleted on chromosome 10

QALY

Quality-adjusted life year

RAF

Rapidly accelerated fibrosarcoma

RAS

Rat sarcoma virus

RS

Recurrence score

T

Tissue

TMB

Tumor mutational burden

WT

Wild type

Rationale 
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in the United States following lung cancer. The American Cancer Society (ACS) estimates 106,180 new cases of colon cancer and 44,850 new cases of rectal cancer for 2022. Overall, there is about a four percent lifetime risk of developing colorectal cancer (ACS, 2023). Metastatic colorectal cancer (mCRC), which occurs in 22% of patients with colorectal cancer, has a significantly poorer prognosis than colorectal cancer that hasn’t metastasized. The five-year survival is 14% in patients with distant metastases from CRC, as compared to 71% for all CRC patients (El-Deiry et al., 2015; Wang et al., 2020).

Approximately one-quarter of the patients with colon cancer present with stage II disease (Kopetz, 2008). The current National Comprehensive Cancer Network (NCCN) guidelines include adjuvant chemotherapy as a treatment option in this setting, particularly for high-risk stage II patients, as determined by clinical and pathological parameters (NCCN, 2024). Although some of the routinely used parameters for estimating recurrence risk, such as T-stage and mismatch repair (MMR) status, are well established, they may not be reliable predictors of recurrence risk in this population (Gray et al., 2011; Gunderson et al., 2010; Harris et al., 2008; Ribic et al., 2003; Sargent et al., 2010; Venook et al., 2013). 

Certain mutations may affect treatment of CRC. For example, the activation of the epidermal growth factor receptor (EGFR) signaling cascade is associated with colon tumorigenesis (Therkildsen et al., 2014); therefore, medications such as cetuximab or panitumumab that target the EGFR pathway may be used in treatment of CRC. However, activating mutations in the KRAS oncogene will cause anti-EGFR resistance since these mutations can result in a constitutively active pathway, even with anti-EGFR treatment (Clark & Sanoff, 2024). Consequently, tumors with mutated KRAS are unresponsive to anti-EGFR therapy. As a result, testing for mutational status as a negative predictive factor for anti-EGFR therapy has become part of routine pathological evaluation for CRC. Other mutations in the RAS oncogene (primarily NRAS) may also lead to the same phenotype (Frucht & Lucas, 2023). Another gene that may be overexpressed within the EGFR pathway is HER2 (human epidermal growth factor receptor 2). This gene plays a role in activating signal transduction pathways controlling epithelial cell growth. Although HER2 is more traditionally known as a breast cancer-associated gene, up to five percent of colorectal cancer cases are found to overexpress HER2 (Clark & Sanoff, 2024). 

Another component of the RAS signaling pathway, BRAF, has also been found to affect anti-EGFR treatment. BRAF V600E mutations may also confer a lack of response to anti-EGFR treatment even when paired with a wild-type RAS oncogene. Mutations in this region occur in less than 10% of sporadic CRCs, and the mutation at position 600 is the primary polymorphism found in CRC. Non-V600 BRAF mutations are rarer (composing about 2.2% of patients with metastatic CRC) and confer a generally better prognosis than their V600 mutated counterparts; a study found non-V600 genotypes to lead to better median overall survival and fewer high-grade tumors (Jones et al., 2017).

Proprietary Testing
Gene expression assays have been commercially produced to predict prognosis of colon cancer. The 12-gene Oncotype DX Colon Cancer Assay (Genomic Health, Inc., Redwood City, CA) is a reverse transcriptase polymerase chain reaction–based assay that provides a Recurrence Score (RS) result (O'Connell et al., 2010). This test assesses the activity level of 12 genes (7 cancer-related genes, 5 reference genes), and this gene expression is scored from 1 – 100. This test is intended for resected stage II, MMR-P or stage III A/B colon cancer. Low risk is a score under 30, moderate risk is 31 – 40, and higher risk is ≥ 41 (Oncotype, 2024a, 2024b). 

The ColDx assay (Almac Diagnostics, Craigavon, Northern Ireland) uses microarray technology for assessing the gene expression of 634 genes to stratify patients into low and high recurrence risk groups (Almac Group, 2024). ColDx identified 73 high risk patients with a hazard ratio of 2.62 during cross validation. In an independent validation, the assay identified high-risk patients with a hazard ratio of 2.53 (Kennedy et al., 2011).

ColoPrint (Agendia, Amsterdam, The Netherlands) is a gene expression classifier that uses whole-genome expression data of 18 key genes to distinguish patients with low versus high risk of disease relapse. In a study using 206 fresh frozen tumor tissue samples from 188 patients with stage I through IV CRC, ColoPrint classified “60% of patients as low risk and 40% as high risk,” and was “superior to American Society of Clinical Oncology criteria in assessing the risk of cancer recurrence without prescreening for microsatellite instability” (Salazar et al., 2011). In a study of 416 stage II colon cancer patients, “ColoPrint identified 63% of patients as low risk with a 5-year ROR of 10%, whereas high-risk patients (37%) had a 5-year ROR of 21%.” Alternatively, the 2013 NCCN clinical risk factors could not distinguish low and high risk patients (Kopetz et al., 2015). 

Analytical Validity
Cenaj et al. (2019) evaluated the correlation between “ERBB2 amplification by next-generation sequencing (NGS) with HER2 overexpression by immunohistochemistry.” NGS was performed on specimens with 20% or more tumor, and 1300 cases of colorectal cancer were included. ERBB2 amplification was detected in 2% of cases. HER2 amplification was examined in “15 cases with ERBB2 amplification (six or more copies), 10 with low gain (three to five copies), and 77 copy neutral.” ERBB2 amplification was found to have perfect concordance with HER2 immunochemistry at H-scores of 105 or more. Further, ERBB2 amplification was found to inversely correlate with RAS/RAF mutations. The authors concluded that “NGS-detected ERBB2 amplification highly correlates with HER2 overexpression in CRC,” which may support authors’ original hypothesis that ERBB2 amplification/overexpression may predict response to HER2 inhibitors (Cenaj et al., 2019).

Fan et al. (2021) analyzed the relationship between mismatch repair (MMR) protein, RAS, BRAF, and PIK3CA expression and clinicopathological characteristics in elderly patients with CRC. From 327 patients, the researchers found that “the mutation rates of the KRAS, NRAS, BRAF and PIK3CA genes in elderly CRC patients were 44.95% (147/327), 2.45% (8/327), 3.36% (11/327) and 2.75% (9/327), respectively.” They also identified that “KRAS was closely related to tumor morphology (P = 0.002) but not to other clinicopathological features (P > 0.05), and there were no significant differences between NRAS gene mutation and clinicopathological features (P > 0.05). The BRAF gene mutation showed a significant difference in pathological type, tumor location, differentiation degree and lymph node metastasis (P < 0.05), but was not correlated with sex, tumor size and tumor morphology (P > 0.05)” (Fan et al., 2021). This demonstrates the critical nature of mutation analysis for these specific genes to aid in identifying potential therapies that would better patient prognoses especially in such a vulnerable population like the elderly. 

Formica et al. (2020) examined tumor tissue (T) mutational analysis in terms of discordance with circulating tumor DNA (ctDNA) obtained by liquid biopsy from plasma (PL) and assessed through real time polymerase chain reaction (PCR). Despite finding concordance for patients with BRAF mutations between the tissue and plasma samples, 20% of patients were RAS discordant. Mutations identified from ctDNA were able to refine the prognosis determined by tissue samples. “RAS wild type in T and mutated in PL had significantly shorter PFS than concordant RAS wild type in T and PL: mPFS [median progression free survival] 9.6 vs. 23.3 months, respectively, p = 0.02. Patients RAS mutated in T and wild type in PL had longer PFS than concordant RAS mutated in T and PL: 24.4 vs. 7.8 months, respectively, p = 0.008.” This raises a limitation to using tumor tissue as the mainstay for mutational analysis and considering combining with or replacing tumor tissue genotyping with plasma ctDNA as a measure of prognosis going forward (Formica et al., 2020). 

Pinheiro et al. (2022) studied the analytical validity of using ctDNA as a possible strategy to analyze KRAS and NRAS mutations from patients with metastatic colorectal cancer. The BEAMing Digital PCR (OncoBEAM) and Idylla ctDNA qPCR were compared and the concordance rate was reported. Blood samples from 47 mCRC patients were tested and the overall agreement and concordance rate were noted. "The overall agreement between tumor tissue and ctDNA analyses was 83% and 78.7% using the OncoBEAM and Idylla assays, respectively, with the concordance being 96.2% and 88.5% in naive treatment patients. The overall agreement between OncoBEAM and Idylla ctDNA analyses was 91.7%" (Pinheiro et al., 2022). The authors conclude that Idylla ctDNA qPCR method is a cheaper alternative with equivalent performance in comparison to the OncoBEAM assay. Analysis of ctDNA can be used to detect “RAS mutations in plasma, either at diagnosis or after progression when considering anti-EGFR treatment rechallenge” (Pinheiro et al., 2022). 

Clinical Utility and Validity 
In a meta-analysis by Xu et al. (2013), a total of 2875 patients were evaluated, with 246 patients having BRAF mutations. The objective response rate (ORR) to EGFR therapy was 18.4% (40/217) in mutant BRAF group and 41.7% (831/1993) in the wild-type BRAF group. The overall risk ratio for the ORR of BRAF mutations compared to wild-type BRAF patients was 0.58. The median progression free survival (hazard ratio 2.98) and overall survival (hazard ratio: 2.85) were significantly shorter of patients with BRAF mutations compared to patients with wild-type BRAF mutations (Xu et al., 2013).

Douillard et al. (2013) evaluated the effect of panitumumab plus oxaliplatin, fluorouracil, and leucovorin (FOLFOX4) compared to just FOLFOX4 on patients with varying RAS and BRAF mutations. A total of 639 patients with metastatic CRC without mutations in KRAS exon 2 had at least one of the following: KRAS exon 3 or 4; NRAS exon 2, 3, or 4; or BRAF exon 15. 228 patients had neither RAS nor BRAF mutations, and this group was evaluated to have better survival metrics with panitumumab plus FOLFOX4 than the group with just FOLFOX4 (median of 10.8 months progression-free survival and 28.3 months overall survival for panitumumab group vs 9.2 and 20.9 respectively for the group without). However, 296 patients with either a RAS or BRAF mutation were treated with panitumumab plus FOLFOX4, and this group’s survival metrics were lower than the group only treated with FOLFOX4. The RAS/BRAF group treated with panitumumab plus FOLFOX4 had a median of only 7.3 months progression-free survival and 15.3 months overall survival vs 8.0 and 18.0 for the 305 patients treated with only FOLFOX4). The authors concluded that additional RAS mutations predicted a lack of response to panitumumab plus FOLFOX4 (Douillard et al., 2013).

Therkildsen et al. (2014) performed a meta-analysis of the clinical impact of anti-EGFR treatment on patients with KRAS, NRAS, and BRAF mutations (as well as PIK3CA and PTEN). A total of 22 studies (2395 participants) were evaluated. Odds ratios for objective response rate (ORR) and hazard ratios (HR) for progression-free survival rate (PFS) and overall survival (OS) were calculated. Mutations in KRAS exons 3 and 4 and BRAF predicted poor ORR (0.26 and 0.29 respectively), KRAS, NRAS, and BRAF mutations all led to significantly lower progression-free survival (HR = 2.19, 2.30, and 2.95 respectively) and significantly lower overall survival (HR = 1.78, 1.85, and 2.52 respectively) (Therkildsen et al., 2014).

Rebersek et al. (2019) investigated the impact of molecular biomarkers on survival and response to first line therapy in metastatic colorectal cancer patients. The study included 154 patients with 42% harboring KRAS mutations and 3% harboring BRAF mutations. Median overall survival (OS) was found to be 56.5 months for wild-type KRAS patients and 58 months for mutated KRAS patients. Median OS for mutated exon 12 patients was 57 months compared to 44 months for mutated exon 13 patients. Wild-type KRAS was found to affect the response to first-line systemic therapy, whereas no other parameters were found to affect response (Rebersek et al., 2019).

Sartore-Bianchi et al. (2019) investigated the effect of HER2 positivity on anti-EGFR treatment. A total of 100 patients HER2-positive (of 1485 wild-type KRAS exon 2 patients) with metastatic colorectal cancer were included. The authors found that HER2-positive patients had more frequent lung metastases (odds ratio [OR] = 2.04) and higher tumor burden (OR = 1.48). The 79 HER2-positive patients given anti-EGFR treatment were also found to have poorer clinical outcomes, with lower objective response rate (31.2% compared to 46.9% for all others) and lower progression-free survival (5.7 months vs seven months). The authors concluded that HER2 testing should be offered because “occurrence of this biomarker is unlikely to be predicted based on main clinicopathological features” (Sartore-Bianchi et al., 2019).

The prognostic benefit was corroborated by Chang et al. (2021), who found that the BRAF gene mutation was “associated with cancer thrombosis in blood vessels” and was “negatively correlated with the OS [overall survival] rate of CRC patients” in their patient population (n=410) from Central China. Like Fan et al. (2021), KRAS also had the greatest mutation rate at 47.56% in this study, showing more awareness needed for tissue genotyping for mCRC (Chang et al., 2021).

Loree et al. (2021) characterized the clinical prevalence of atypical KRAS/NRAS mutations in metastatic colorectal cancer. The authors evaluated tissue and DNA samples from 9,485 patients to characterize atypical RAS variants using an in-vitro cell-based assay, studying the signaling changes across mutations. According to the results, "KRAS exon 2, extended RAS, and atypical RAS mutations were noted in 37.8%, 9.5%, and 1.2% of patients, respectively. Among atypical variants, KRAS L19F, Q22K, and D33E occurred at prevalence ≥0.1%, whereas no NRAS codon 117/146 and only one NRAS codon 59 mutation was noted. Atypical RAS mutations had worse overall survival than RAS/BRAF wild-type mCRC.” Of the 57 atypical RAS variants, 18 (31.6%) had signaling below wild-type, 23 (40.4%) had signaling between wild-type and activating control, and 16 (28.1%) were hyperactive beyond the activating control. The authors concluded that "KRAS L19F, Q22K, D33E, and T50I are more prevalent than many guideline-included RAS variants and functionally relevant” (Loree et al., 2021).

Benavides et al. (2022) studied how effective liquid biopsy-tailored assays were in identifying guideline-recommended biomarkers, including RAS and BRAF, in comparison to standard of care tissue genotyping for patients newly diagnosed with mCRC. To quantify the effectivity of liquid biopsy assays for biomarkers, the researchers utilized the Guardant360 for comprehensive ctDNA analysis, and OncoBEAM for targeted RAS and BRAF analysis. Among the 155 patients included in this prospective study, physician discretion standard of care tissue genotyping identified guideline-recommended biomarkers in 52.9% of patients, in comparison to the 56.8% from the comprehensive Guardant360 ctDNA analysis and 44.5% from targeted ctDNA analysis by OncoBEAM. An additional 19.5% more samples were included in the ctDNA assays “by rescuing those without tissue results either due to tissue insufficiency, test failure, or false negatives.” The complete processing of ctDNA assays was faster (10 days versus 27 days on median) and maintained accuracy even 10 days after sample collection (52.0% vs 10.2%). This could allow inclusion of ctDNA genotyping in the care of patients with mCRC and could enable accelerated personalized treatment regimens for patients with the quick turnaround and comparable results to current practices (Benavides et al., 2022). 

Several studies have evaluated the impact of the gene expression profiling on clinical decision making in certain colon cancer subgroups. Brenner et al. (2016) assessed the clinical impact of the 12-gene Colon Cancer Recurrence Score Assay in treatment of T3 mismatch repair proficient (MMR-P) stage II colon cancer. Out of 269 patients, 102 patients had their treatment changed because of the assay’s results. The authors concluded that testing significantly impacted adjuvant treatment decisions in clinical practice (Brenner et al., 2016). 

Cartwright et al. (2014) performed a web-based survey evaluating the impact of the 12-gene Colon Cancer Recurrence Score Assay in stage II colon cancer patients. The authors surveyed 346 oncologists about their use of the Oncotype DX assay; the survey included questions about courses of treatment before and after using the assay and the stage of cancer their patient had. The authors found that 29% of treatment recommendations were changed for patients receiving Recurrence Score testing (Cartwright et al., 2014). Srivastava et al. (2014) conducted a prospective study assessing the impact of recurrence score results on physician recommendations regarding adjuvant chemotherapy in T3 MMR-P stage II colon cancer patients. A total of 141 patients were eligible for analysis, and the study concluded that treatment recommendation changes were made for 63 (45%) of patients (Srivastava et al., 2014). 

Chang et al. (2020) reviewed the “entire database” of the OncoType Colon Recurrence Score test to identify any age-related differences in Recurrence Score (RS) and single-gene results. A total of 20478 Stage II and IIIA/B colon cancer patients were included. RS results were categorized into low, medium, and high risk, and single-gene results were organized by median and interquartile ranges. In total, 72.5% of all patients and 72.6% of patients under 40 years old were found to have a low-risk RS. However, there were no significant differences in either RS or single-gene results among the four age groups (<40, 40-54, 55-64, >65). Young-onset cancer was also not found to differ by gene expression in individual RS genes. Overall, most patients in stages II or III colon cancer were found to have low-risk disease per the OncoType assay (Chang et al., 2020).

Allar et al. (2022) evaluated how the OncoType Colon Recurrence Score influences clinical practice. The study included 105 patients with stage IIa colon cancer and investigated the association between the RS and the decision to offer adjuvant chemotherapy after resection. Fifty-two patients underwent RS testing, seven (13%) of whom received adjuvant chemotherapy. The authors found no significant effect or clear association of RS on the odds of undergoing chemotherapy. The authors conclude that “RS was not associated with the decision to start adjuvant chemotherapy” and suggest that “the RS should not be obtained in patients with stage IIa colon cancer” (Allar et al., 2022).

Chaudhari and Issa (2022) conducted a study to compare the cost-effectiveness of various genomic tests used to prognosticate stage II colorectal cancer patients. The researchers compared a 12-gene assay, 18-gene expression assay, 482-gene signature assay, and Immunoscore assay in a hypothetical cohort to investigate recurrence risk and death. Using a Markov model, the authors found that “the cost of the Immunoscore assay strategy in stage II colorectal cancer patients was estimated to be US $23,564 with a gain of 3.903 quality-adjusted life years (QALYs) as compared with the 12-gene assay strategy at US $24,545 and 3.903 QALYs; the 18-gene assay strategy at US $28,374 and 3.623 QALYs; and the 482-gene signature treatment strategy at US $33,315 with 3.704 QALYs.” This, along with further analysis, led to the conclusion that the Immunoscore assay may be the “dominant strategy,” in that it may reduce costs associated with treatment in long-term, but for the gene expression signature assays alone, the 12-gene assay may generate more cost savings than the 18-gene expression assay, equivalent to $3900 (Chaudhari & Issa, 2022). 

Aoki et al. (2023) studied the validity of NGS-based ctDNA genotyping for RAS and BRAF V600E mutation assessment to guide therapy for metastatic colorectal cancer. The study included 212 mCRC patients. The authors compared NGS-cased ctDNA genotyping results with the results of validated PCR-based tissue testing, specifically looking at the concordance rate, sensitivity, and specificity. For RAS, the concordance rate was 92.5%, the sensitivity was 88.7%, and the specificity was 97.2%. For BRAF V600E, the concordance rate was 96.2%, the sensitivity was 88.0%, and the specificity was 97.3%. The authors then investigated efficacy of anti-EGFR and BRAF-targeted therapies based on ctDNA results. The progression-free survival pf anti-EGFT therapy was 12.9 months, and the progression-free survival of BRAF-targeted treatment was 3.7 months. The authors concluded that “ctDNA genotyping effectively detected RAS/BRAF mutations” and “clinical outcomes support ctDNA genotyping for determining the use of anti-EGFR and BRAF-targeted therapies in patients with mCRC” (Aoki et al., 2023).

American Society of Clinical Oncology (ASCO) 
The ASCO published an endorsement of the College of American Pathologist Guidelines, recommending:

  • “For patients with CRC, being considered for immune checkpoint inhibitor therapy, pathologists should use MMR-immunohistochemistry (IHC) and/or microsatellite instability (MSI) by polymerase chain reaction (PCR) for the detection of DNA MMR defects. Although MMR-IHC or MSI by PCR is preferred, pathologists may use a validated MSI by next-generation sequencing (NGS) assay for the detection of DNA MMR defects. Note: MSI by NGS assay must be validated against MMR-IHC or MSI by PCR and must show equivalency. (Strong recommendation).”
  • “For all cancer patients being considered for immune checkpoint inhibitor therapy based on defective MMR, pathologists should not use tumor mutation burden (TMB) as a surrogate for the detection of DNA MMR defects. If a tumor is identified as TMB-high, pathologists may perform IHC and/or MSI by PCR to determine if high TMB is secondary to MMR deficiency. (Strong recommendation).”
  • “For cancer patients being considered for immune checkpoint inhibitor therapy, if a MMR deficiency consistent with Lynch syndrome is identified in the tumor, pathologists should communicate this finding to the treating physician. (Strong recommendation)” (Vikas et al., 2023).

American Society for Clinical Pathology, College of American Pathologists, Association for Molecular Pathology, and the American Society of Clinical Oncology
These joint guidelines focus on “Molecular Biomarkers for the Evaluation of Colorectal Cancer.” They list the following recommendations for KRAS, NRAS, and BRAF for CRC:

  • “Patients with CRC considered for anti-EGFR therapy must receive RAS mutational testing. Mutational analysis should include KRAS and NRAS codons 12, 13 of exon 2; 59, 61 of exon 3; and 117 and 146 of exon 4 (expanded or extended RAS).”
  • BRAF p.V600 (BRAF c. 1799 [p.V600]) mutational analysis should be performed in CRC tissue in patients with CRC for prognostic stratification.”
  • “There is insufficient evidence to recommend BRAF c.1799 p.V600 mutational status as a predictive molecular biomarker for response to anti-EGFR inhibitors” (Sepulveda et al., 2017).

The joint guidelines state that further research is required to study the clinical validity and utility of gene expression profiling assays in colon cancer patients (Sepulveda et al., 2017).

National Comprehensive Cancer Network (NCCN)
The guidelines version 1.2024 recommend that “all patients with metastatic colorectal cancer should have tumor genotyped for RAS (KRAS and NRAS) and BRAF mutations individually or as part of a next-generation sequencing (NGS) panel (preferred). Patients with any known KRAS mutation (exons 2, 3, and 4) or NRAS mutation (exons 2, 3, and 4) should not be treated with either cetuximab or panitumumab, unless given as part of a regimen targeting a KRAS G12C mutation. BRAF V600E mutation makes response to panitumumab or cetuximab highly unlikely unless given with a BRAF inhibitor.” 

The NCCN guidelines state that testing for KRAS, NRAS and BRAF mutations should be performed only in laboratories that are CLIA-1988 certified as qualified to perform “high complexity clinical laboratory (molecular pathology) testing.” Testing can be performed on formalin fixed paraffin embedded tissue (preferred) or blood-based assay. 

The NCCN further states that “testing can be performed on the primary CRCs and/or the metastasis, as literature has shown that the KRAS, NRAS, and BRAF mutations are similar in both specimen types.”

BRAF genotyping of tumor tissue is recommended at stage IV disease. Allele-specific polymerase-chain reaction (PCR), NGS, or immunohistochemistry (IHC) may be used to determine BRAF status. 

The NCCN notes that HER2 may be overexpressed in RAS/BRAF wild-type tumors despite being rarely amplified/overexpressed in CRC (~3% overall). HER2-targeted therapies are now recommended in patients with tumors that are RAS/BRAF wild-type and with HER2 overexpression. Therefore, the NCCN now recommends testing for HER2 amplifications in patients with metastatic CRC. However, HER2 testing is not indicated in patients with known KRAS/NRAS or BRAF mutations (NCCN, 2024).

Routine EGFR testing is not recommended (NCCN, 2024). 

Overall, in patients with suspected or proven mCRC, the NCCN recommends "molecular testing, including: RAS and BRAF mutations; HER2 amplifications; MMR or MSI status (if not previously done). Testing should be conducted as part of broad molecular profiling, which would identify rare and actionable mutations and fusions such as POLE/POLD1, RET, and NTRK.”  (NCCN, 2024).

Regarding the OncoType DX colon cancer assay, the NCCN remarks that clinical validation in patients with stages II or III cancer from the QUASAR and NSABP clinical trials shows that “recurrence scores are prognostic for recurrence, DFS [disease free survival], and OS [overall survival] in stage II and stage III colon cancer but are not predictive of benefit to adjuvant therapy.” ColoPrint, an 18-gene classifier for recurrence risk, was also found to independently predict recurrence risk and is currently being validated to predict 3-year relapse rates in patients with stage II colon cancer in a prospective trial. Similarly, ColDx, a microarray based multigene assay, was found to independently predict recurrence risk. However, despite these tests’ ability to further inform risk of recurrence, the panel questions the value added. The panel also noted that “evidence of predictive value in terms of the potential benefit of chemotherapy is lacking” and that “there are insufficient data to recommend the use of multigene assays, Immunoscore, or post-surgical ctDNA to estimate risk of recurrence or determine adjuvant therapy” (NCCN, 2024).

European Society for Medical Oncology (ESMO)
In its 2023 guidelines, ESMO recommends the following for mCRC genetic testing:  

  • “Determining the RAS mutational testing on a tumour biopsy [I, A] (or through a liquid biopsy in case no tumour sample is available [II, B]) is mandatory to guide the best treatment decision.
  • Testing for mismatch repair (MMR) status and KRAS, NRAS exon 2, 3, and 4 as well as BRAF mutations is recommended in all patients at the time of mCRC diagnosis [I, A]
  • Identification of human epidermal growth factor receptor (HER2) amplification by immunohistochemistry (IHC) or FISH [fluorescence in-situ hybridization] is recommended in RAS wild-type (wt) patients to detect those who may benefit from HER2 blockade [III, B]
  • RAS testing is mandatory before treatment with anti-EGFR mAbs and can be carried out on either the primary tumour or other metastatic sites [III, A]
  • BRAF mutation status should be assessed simultaneously with the evaluation of RAS, for prognostic assessment [I, B] and for the option of treatment with cetuximab-encorafenib [I, A].
  • dMMR [deficient mismatch repair]/MSI testing in mCRC can assist in genetic counselling for Lynch syndrome [II, B].
  • dMMR/MSI status is also recommended as the initial molecular work-up in metastatic disease for its predictive value for the use of ICIs [immune checkpoint inhibition] [I, A]” (Cervantes et al., 2023).

With regards to localized colon cancer, ESMO states that “besides MSI status, other genetic markers, e.g. RAS and BRAF mutations are not recommended for the routine assessment of risk of recurrence in non-metastatic patients, based on their lack of utility in the adjuvant decision-making process” (Argilés et al., 2020).

In their newly released guidelines, ESMO does not provide recommendations for using gene expression profiling assays for prognosticating patients with stage II colon cancer (Cervantes et al., 2023).

Choosing Wisely Canada
Choosing Wisely Canada lists “eleven tests and treatments to question” in their oncology recommendations. In this list, they recommend: “Don’t perform routine colonoscopic surveillance every year in patients following their colon cancer surgery; instead, frequency should be based on the findings of the prior colonoscopy and corresponding guidelines” (Choosing Wisely Canada, 2023).

Research Committee and the Guidelines Committee of the European Society of Coloproctology (ESCP) 
This systematic review was performed by the committee to assess the consensus levels “in guidelines from member countries of the European Society of Coloproctology, with supporting evidence.” This review focuses on follow-up strategies for patients “after treatment with curative intent of nonmetastatic colorectal cancer” (Bastiaenen et al., 2019).
In this review, the committee concluded that “laboratory tests other than CEA [carcinoembryonic antigen] should not be part of follow-up,” although it noted that only eight of 21 guidelines reviewed addressed this topic (Bastiaenen et al., 2019).

References: 

  1. ACS. (2023, January 13). Key Statistics for Colorectal Cancer. https://www.cancer.org/cancer/colon-rectal-cancer/about/key-statistics.html
  2. Allar, B. G., Messaris, E., Poylin, V. Y., Schlechter, B. L., & Cataldo, T. E. (2022). Oncotype DX testing does not affect clinical practice in stage IIa colon cancer. Med Oncol, 39(5), 59. https://doi.org/10.1007/s12032-022-01660-9
  3. Allegra, C. J., Jessup, J. M., Somerfield, M. R., Hamilton, S. R., Hammond, E. H., Hayes, D. F., McAllister, P. K., Morton, R. F., & Schilsky, R. L. (2009). American Society of Clinical Oncology provisional clinical opinion: testing for KRAS gene mutations in patients with metastatic colorectal carcinoma to predict response to anti-epidermal growth factor receptor monoclonal antibody therapy. J Clin Oncol, 27(12), 2091-2096. https://doi.org/10.1200/jco.2009.21.9170
  4. Allegra, C. J., Rumble, R. B., Hamilton, S. R., Mangu, P. B., Roach, N., Hantel, A., & Schilsky, R. L. (2016). Extended RAS Gene Mutation Testing in Metastatic Colorectal Carcinoma to Predict Response to Anti-Epidermal Growth Factor Receptor Monoclonal Antibody Therapy: American Society of Clinical Oncology Provisional Clinical Opinion Update 2015. J Clin Oncol, 34(2), 179-185. https://doi.org/10.1200/jco.2015.63.9674
  5. Almac Group. (2024). ColDx. https://www.almacgroup.com/diagnostics/portfolio-overview/coldx/
  6. Aoki, Y., Nakamura, Y., Denda, T., Ohta, T., Esaki, T., Shiozawa, M., Yamaguchi, K., Yamazaki, K., Sunakawa, Y., Kato, T., Okano, N., Taniguchi, H., Sato, T., Oki, E., Nishina, T., Komatsu, Y., Matsuhashi, N., Goto, M., Yasui, H., . . . Yoshino, T. (2023). Clinical Validation of Plasma-Based Genotyping for RAS and BRAF V600E Mutation in Metastatic Colorectal Cancer: SCRUM-Japan GOZILA Substudy. JCO Precis Oncol, 7, e2200688. https://doi.org/10.1200/po.22.00688
  7. Argilés, G., Tabernero, J., Labianca, R., Hochhauser, D., Salazar, R., Iveson, T., Laurent-Puig, P., Quirke, P., Yoshino, T., Taieb, J., Martinelli, E., & Arnold, D. (2020). Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol, 31(10), 1291-1305. https://doi.org/10.1016/j.annonc.2020.06.022
  8. ASCO. https://www.asco.org/research-guidelines/quality-guidelines/guidelines/gastrointestinal-cancer#/9766
  9. Bardhan, K., & Liu, K. (2013). Epigenetics and colorectal cancer pathogenesis. Cancers (Basel), 5(2), 676-713. https://doi.org/10.3390/cancers5020676
  10. Bastiaenen, V. P., Hovdenak Jakobsen, I., Labianca, R., Martling, A., Morton, D. G., Primrose, J. N., Tanis, P. J., & Laurberg, S. (2019). Consensus and controversies regarding follow-up after treatment with curative intent of nonmetastatic colorectal cancer: a synopsis of guidelines used in countries represented in the European Society of Coloproctology. Colorectal Dis, 21(4), 392-416. https://doi.org/10.1111/codi.14503
  11. Benavides, M., Alcaide-Garcia, J., Torres, E., Gil-Calle, S., Sevilla, I., Wolman, R., Durán, G., Álvarez, M., Reyna-Fortes, C., Ales, I., Pereda, T., Robles, M., Kushnir, M., Odegaard, J., Faull, I., & Alba, E. (2022). Clinical utility of comprehensive circulating tumor DNA genotyping compared with standard of care tissue testing in patients with newly diagnosed metastatic colorectal cancer. ESMO Open, 7(3), 100481. https://doi.org/10.1016/j.esmoop.2022.100481
  12. Brenner, B., Geva, R., Rothney, M., Beny, A., Dror, Y., Steiner, M., Hubert, A., Idelevich, E., Gluzman, A., Purim, O., Shacham-Shmueli, E., Shulman, K., Mishaeli, M., Man, S., Soussan-Gutman, L., Tezcan, H., Chao, C., Shani, A., & Liebermann, N. (2016). Impact of the 12-Gene Colon Cancer Assay on Clinical Decision Making for Adjuvant Therapy in Stage II Colon Cancer Patients. Value Health, 19(1), 82-87. https://doi.org/10.1016/j.jval.2015.08.013
  13. Cartwright, T., Chao, C., Lee, M., Lopatin, M., Bentley, T., Broder, M., & Chang, E. (2014). Effect of the 12-gene colon cancer assay results on adjuvant treatment recommendations in patients with stage II colon cancer. Curr Med Res Opin, 30(2), 321-328. https://doi.org/10.1185/03007995.2013.855183
  14. Cenaj, O., Ligon, A. H., Hornick, J. L., & Sholl, L. M. (2019). Detection of ERBB2 Amplification by Next-Generation Sequencing Predicts HER2 Expression in Colorectal Carcinoma. Am J Clin Pathol, 152(1), 97-108. https://doi.org/10.1093/ajcp/aqz031
  15. Cervantes, A., Adam, R., Roselló, S., Arnold, D., Normanno, N., Taïeb, J., Seligmann, J., De Baere, T., Osterlund, P., Yoshino, T., & Martinelli, E. (2023). Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol, 34(1), 10-32. https://doi.org/10.1016/j.annonc.2022.10.003
  16. Chang, G. J., You, Y. N. Y., Russell, C. A., Tierno, M. B., Turner, M., Bennett, J. P., Lau, A., & Hochster, H. S. (2020). Young-Onset Colon Cancer and Recurrence Risk By Gene Expression. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djaa019
  17. Chang, X. N., Shang, F. M., Jiang, H. Y., Chen, C., Zhao, Z. Y., Deng, S. H., Fan, J., Dong, X. C., Yang, M., Li, Y., Cai, K. L., Liu, L., Liu, H. L., & Nie, X. (2021). Clinicopathological Features and Prognostic Value of KRAS/NRAS/BRAF Mutations in Colorectal Cancer Patients of Central China. Curr Med Sci, 41(1), 118-126. https://doi.org/10.1007/s11596-021-2326-1
  18. Chaudhari, V. S., & Issa, A. M. (2022). Cost-effectiveness of precision molecular diagnostic tests for stage II colorectal cancer. Ann Transl Med, 10(23), 1260. https://doi.org/10.21037/atm-2022-77
  19. Chiorean, E. G., Nandakumar, G., Fadelu, T., Temin, S., Alarcon-Rozas, A. E., Bejarano, S., Croitoru, A.-E., Grover, S., Lohar, P. V., Odhiambo, A., Park, S. H., Garcia, E. R., Teh, C., Rose, A., Zaki, B., & Chamberlin, M. D. (2020). Treatment of Patients With Late-Stage Colorectal Cancer: ASCO Resource-Stratified Guideline. JCO Global Oncology(6), 414-438. https://doi.org/10.1200/JGO.19.00367
  20. Choosing Wisely Canada. (2023). Eleven Tests and Treatments to Question https://choosingwiselycanada.org/recommendation/oncology/
  21. Clark, J. W., & Sanoff, H. K. (2024, February 28). Systemic chemotherapy for nonoperable metastatic colorectal cancer: Selecting the initial therapeutic approach. https://www.uptodate.com/contents/systemic-therapy-for-nonoperable-metastatic-colorectal-cancer-selecting-the-initial-therapeutic-approach
  22. Compton, C. (2023a, 05/01/2023). Pathology and prognostic determinants of colorectal cancer. https://www.uptodate.com/contents/pathology-and-prognostic-determinants-of-colorectal-cancer
  23. Compton, C. (2023b). Pathology and prognostic determinants of colorectal cancer - UpToDate. In K. Tanabe (Ed.), UpToDate. https://www.uptodate.com/contents/pathology-and-prognostic-determinants-of-colorectal-cancer?source=machineLearning&search=braf%20colorectal&selectedTitle=6~150&sectionRank=2&anchor=H1022797966#H1022797966
  24. De Roock, W., Claes, B., Bernasconi, D., De Schutter, J., Biesmans, B., Fountzilas, G., Kalogeras, K. T., Kotoula, V., Papamichael, D., Laurent-Puig, P., Penault-Llorca, F., Rougier, P., Vincenzi, B., Santini, D., Tonini, G., Cappuzzo, F., Frattini, M., Molinari, F., Saletti, P., . . . Tejpar, S. (2010). Effects of KRAS, BRAF, NRAS, and PIK3CA mutations on the efficacy of cetuximab plus chemotherapy in chemotherapy-refractory metastatic colorectal cancer: a retrospective consortium analysis. Lancet Oncol, 11(8), 753-762. https://doi.org/10.1016/s1470-2045(10)70130-3
  25. Douillard, J. Y., Oliner, K. S., Siena, S., Tabernero, J., Burkes, R., Barugel, M., Humblet, Y., Bodoky, G., Cunningham, D., Jassem, J., Rivera, F., Kocakova, I., Ruff, P., Blasinska-Morawiec, M., Smakal, M., Canon, J. L., Rother, M., Williams, R., Rong, A., . . . Patterson, S. D. (2013). Panitumumab-FOLFOX4 treatment and RAS mutations in colorectal cancer. N Engl J Med, 369(11), 1023-1034. https://doi.org/10.1056/NEJMoa1305275
  26. El-Deiry, W. S., Vijayvergia, N., Xiu, J., Scicchitano, A., Lim, B., Yee, N. S., Harvey, H. A., Gatalica, Z., & Reddy, S. (2015). Molecular profiling of 6,892 colorectal cancer samples suggests different possible treatment options specific to metastatic sites. Cancer Biol Ther, 16(12), 1726-1737. https://doi.org/10.1080/15384047.2015.1113356
  27. Fan, J.-Z., Wang, G.-F., Cheng, X.-B., Dong, Z.-H., Chen, X., Deng, Y.-J., & Song, X. (2021). Relationship between mismatch repair protein, RAS, BRAF, PIK3CA gene expression and clinicopathological characteristics in elderly colorectal cancer patients. World journal of clinical cases, 9(11), 2458-2468. https://doi.org/10.12998/wjcc.v9.i11.2458
  28. FDA. (2014). SUMMARY OF SAFETY AND EFFECTIVENESS DATA (SSED). https://www.accessdata.fda.gov/cdrh_docs/pdf11/P110027B.pdf
  29. FDA. (2015). SUMMARY OF SAFETY AND EFFECTIVENESS DATA (SSED). https://www.accessdata.fda.gov/cdrh_docs/pdf14/P140023B.pdf
  30. FDA. (2017). SUMMARY OF SAFETY AND EFFECTIVENESS DATA (SSED). https://www.accessdata.fda.gov/cdrh_docs/pdf16/P160038B.pdf
  31. FDA. (2021). ONCO/Reveal Dx Lung & Colon Cancer Assay (O/RDx-LCCA). https://www.accessdata.fda.gov/scripts/cdrh/devicesatfda/index.cfm?db=pma&id=454588
  32. Formica, V., Lucchetti, J., Doldo, E., Riondino, S., Morelli, C., Argirò, R., Renzi, N., Nitti, D., Nardecchia, A., Dell'Aquila, E., Ferroni, P., Guadagni, F., Palmieri, G., Orlandi, A., & Roselli, M. (2020). Clinical Utility of Plasma KRAS, NRAS and BRAF Mutational Analysis with Real Time PCR in Metastatic Colorectal Cancer Patients-The Importance of Tissue/Plasma Discordant Cases. Journal of clinical medicine, 10(1), 87. https://doi.org/10.3390/jcm10010087
  33. Frucht, H., & Lucas, A. L. (2023, January 21). Molecular genetics of colorectal cancer. https://www.uptodate.com/contents/molecular-genetics-of-colorectal-cancer
  34. Gray, R. G., Quirke, P., Handley, K., Lopatin, M., Magill, L., Baehner, F. L., Beaumont, C., Clark-Langone, K. M., Yoshizawa, C. N., Lee, M., Watson, D., Shak, S., & Kerr, D. J. (2011). 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, 29(35), 4611-4619. https://doi.org/10.1200/jco.2010.32.8732
  35. Gunderson, L. L., Jessup, J. M., Sargent, D. J., Greene, F. L., & Stewart, A. K. (2010). Revised TN categorization for colon cancer based on national survival outcomes data. J Clin Oncol, 28(2), 264-271. https://doi.org/10.1200/jco.2009.24.0952
  36. Harris, E. I., Lewin, D. N., Wang, H. L., Lauwers, G. Y., Srivastava, A., Shyr, Y., Shakhtour, B., Revetta, F., & Washington, M. K. (2008). Lymphovascular invasion in colorectal cancer: an interobserver variability study. Am J Surg Pathol, 32(12), 1816-1821. https://doi.org/10.1097/PAS.0b013e3181816083
  37. Jones, J. C., Renfro, L. A., Al-Shamsi, H. O., Schrock, A. B., Rankin, A., Zhang, B. Y., Kasi, P. M., Voss, J. S., Leal, A. D., Sun, J., Ross, J., Ali, S. M., Hubbard, J. M., Kipp, B. R., McWilliams, R. R., Kopetz, S., Wolff, R. A., & Grothey, A. (2017). (Non-V600) BRAF Mutations Define a Clinically Distinct Molecular Subtype of Metastatic Colorectal Cancer. J Clin Oncol, 35(23), 2624-2630. https://doi.org/10.1200/jco.2016.71.4394
  38. Kennedy, R. D., Bylesjo, M., Kerr, P., Davison, T., Black, J. M., Kay, E. W., Holt, R. J., Proutski, V., Ahdesmaki, M., Farztdinov, V., Goffard, N., Hey, P., McDyer, F., Mulligan, K., Mussen, J., O'Brien, E., Oliver, G., Walker, S. M., Mulligan, J. M., . . . Harkin, D. P. (2011). Development and independent validation of a prognostic assay for stage II colon cancer using formalin-fixed paraffin-embedded tissue. J Clin Oncol, 29(35), 4620-4626. https://doi.org/10.1200/jco.2011.35.4498
  39. Kopetz, S. (2008). Adjuvant Chemotherapy for Stage II Colon Cancer. https://pubmed.ncbi.nlm.nih.gov/18494354/
  40. Kopetz, S., Tabernero, J., Rosenberg, R., Jiang, Z. Q., Moreno, V., Bachleitner-Hofmann, T., Lanza, G., Stork-Sloots, L., Maru, D., Simon, I., Capellà, G., & Salazar, R. (2015). Genomic classifier ColoPrint predicts recurrence in stage II colorectal cancer patients more accurately than clinical factors. Oncologist, 20(2), 127-133. https://doi.org/10.1634/theoncologist.2014-0325
  41. Loree, J. M., Wang, Y., Syed, M. A., Sorokin, A. V., Coker, O., Xiu, J., Weinberg, B. A., Vanderwalde, A. M., Tesfaye, A., Raymond, V. M., Miron, B., Tarcic, G., Zelichov, O., Broaddus, R. R., Ng, P. K. S., Jeong, K. J., Tsang, Y. H., Mills, G. B., Overman, M. J., . . . Kopetz, S. (2021). Clinical and Functional Characterization of Atypical KRAS/NRAS Mutations in Metastatic Colorectal Cancer. Clinical Cancer Research, 27(16), 4587-4598. https://doi.org/10.1158/1078-0432.Ccr-21-0180
  42. NCCN. (2024, March 29). NCCN Clinical Practice Guidelines in Oncology; Colon Cancer v1.2023. https://www.nccn.org/professionals/physician_gls/pdf/colon.pdf
  43. O'Connell, M. J., Lavery, I., Yothers, G., Paik, S., Clark-Langone, K. M., Lopatin, M., Watson, D., Baehner, F. L., Shak, S., Baker, J., Cowens, J. W., & Wolmark, N. (2010). Relationship between tumor gene expression and recurrence in four independent studies of patients with stage II/III colon cancer treated with surgery alone or surgery plus adjuvant fluorouracil plus leucovorin. J Clin Oncol, 28(25), 3937-3944. https://doi.org/10.1200/jco.2010.28.9538
  44. Oncotype. (2024a). About the Oncotype DX Colon Recurrence Score Test. https://www.oncotypeiq.com/en-US/colon-cancer/healthcare-professionals/oncotype-dx-colon-recurrence-score/about-the-test
  45. Oncotype. (2024b). Interpreting the Results. https://www.oncotypeiq.com/en-US/colon-cancer/healthcare-professionals/oncotype-dx-colon-recurrence-score/interpreting-the-results
  46. Pinheiro, M., Peixoto, A., Rocha, P., Veiga, I., Pinto, C., Santos, C., Pinto, P., Guerra, J., Escudeiro, C., Barbosa, A., Silva, J., & Teixeira, M. R. (2022). KRAS and NRAS mutational analysis in plasma ctDNA from patients with metastatic colorectal cancer by real-time PCR and digital PCR. International Journal of Colorectal Disease, 37(4), 895-905. https://doi.org/10.1007/s00384-022-04126-6
  47. Rebersek, M., Mesti, T., Boc, M., & Ocvirk, J. (2019). Molecular biomarkers and histological parameters impact on survival and response to first- line systemic therapy of metastatic colorectal cancer patients. Radiol Oncol, 53(1), 85-95. https://doi.org/10.2478/raon-2019-0013
  48. Ribic, C. M., Sargent, D. J., Moore, M. J., Thibodeau, S. N., French, A. J., Goldberg, R. M., Hamilton, S. R., Laurent-Puig, P., Gryfe, R., Shepherd, L. E., Tu, D., Redston, M., & Gallinger, S. (2003). Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer. N Engl J Med, 349(3), 247-257. https://doi.org/10.1056/NEJMoa022289
  49. Salazar, R., Roepman, P., Capella, G., Moreno, V., Simon, I., Dreezen, C., Lopez-Doriga, A., Santos, C., Marijnen, C., Westerga, J., Bruin, S., Kerr, D., Kuppen, P., van de Velde, C., Morreau, H., Van Velthuysen, L., Glas, A. M., Van't Veer, L. J., & Tollenaar, R. (2011). Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer. J Clin Oncol, 29(1), 17-24. https://doi.org/10.1200/jco.2010.30.1077
  50. Sargent, D. J., Marsoni, S., Monges, G., Thibodeau, S. N., Labianca, R., Hamilton, S. R., French, A. J., Kabat, B., Foster, N. R., Torri, V., Ribic, C., Grothey, A., Moore, M., Zaniboni, A., Seitz, J. F., Sinicrope, F., & Gallinger, S. (2010). Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer. J Clin Oncol, 28(20), 3219-3226. https://doi.org/10.1200/jco.2009.27.1825
  51. Sartore-Bianchi, A., Amatu, A., Porcu, L., Ghezzi, S., Lonardi, S., Leone, F., Bergamo, F., Fenocchio, E., Martinelli, E., Borelli, B., Tosi, F., Racca, P., Valtorta, E., Bonoldi, E., Martino, C., Vaghi, C., Marrapese, G., Ciardiello, F., Zagonel, V., . . . Siena, S. (2019). HER2 Positivity Predicts Unresponsiveness to EGFR-Targeted Treatment in Metastatic Colorectal Cancer. Oncologist, 24(10), 1395-1402. https://doi.org/10.1634/theoncologist.2018-0785
  52. Sepulveda, A. R., Hamilton, S. R., Allegra, C. J., Grody, W., Cushman-Vokoun, A. M., Funkhouser, W. K., Kopetz, S. E., Lieu, C., Lindor, N. M., Minsky, B. D., Monzon, F. A., Sargent, D. J., Singh, V. M., Willis, J., Clark, J., Colasacco, C., Rumble, R. B., Temple-Smolkin, R., Ventura, C. B., & Nowak, J. A. (2017). Molecular Biomarkers for the Evaluation of Colorectal Cancer: Guideline From the American Society for Clinical Pathology, College of American Pathologists, Association for Molecular Pathology, and American Society of Clinical Oncology. J Mol Diagn, 19(2), 187-225. https://doi.org/10.1016/j.jmoldx.2016.11.001
  53. Srivastava, G., Renfro, L. A., Behrens, R. J., Lopatin, M., Chao, C., Soori, G. S., Dakhil, S. R., Mowat, R. B., Kuebler, J. P., Kim, G., Mazurczak, M., Lee, M., & Alberts, S. R. (2014). Prospective multicenter study of the impact of oncotype DX colon cancer assay results on treatment recommendations in stage II colon cancer patients. Oncologist, 19(5), 492-497. https://doi.org/10.1634/theoncologist.2013-0401
  54. Therkildsen, C., Bergmann, T. K., Henrichsen-Schnack, T., Ladelund, S., & Nilbert, M. (2014). The predictive value of KRAS, NRAS, BRAF, PIK3CA and PTEN for anti-EGFR treatment in metastatic colorectal cancer: A systematic review and meta-analysis [review-article]. https://doi.org/10.3109/0284186X.2014.895036
  55. Venook, A. P., Niedzwiecki, D., Lopatin, M., Ye, X., Lee, M., Friedman, P. N., Frankel, W., Clark-Langone, K., Millward, C., Shak, S., Goldberg, R. M., Mahmoud, N. N., Warren, R. S., Schilsky, R. L., & Bertagnolli, M. M. (2013). 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, 31(14), 1775-1781. https://doi.org/10.1200/jco.2012.45.1096
  56. Vikas, P., Messersmith, H., Compton, C., Sholl, L., Broaddus, R. R., Davis, A., Estevez-Diz, M., Garje, R., Konstantinopoulos, P. A., Leiser, A., Mills, A. M., Norquist, B., Overman, M. J., Sohal, D., Turkington, R. C., & Johnson, T. (2023). Mismatch Repair and Microsatellite Instability Testing for Immune Checkpoint Inhibitor Therapy: ASCO Endorsement of College of American Pathologists Guideline. J Clin Oncol, 41(10), 1943-1948. https://doi.org/10.1200/jco.22.02462
  57. Wang, J., Li, S., Liu, Y., Zhang, C., Li, H., & Lai, B. (2020). Metastatic patterns and survival outcomes in patients with stage IV colon cancer: A population-based analysis. Cancer Med, 9(1), 361-373. https://doi.org/10.1002/cam4.2673
  58. Xu, Q., Xu, A. T., Zhu, M. M., Tong, J. L., Xu, X. T., & Ran, Z. H. (2013). Predictive and prognostic roles of BRAF mutation in patients with metastatic colorectal cancer treated with anti-epidermal growth factor receptor monoclonal antibodies: a meta-analysis. J Dig Dis, 14(8), 409-416. https://doi.org/10.1111/1751-2980.12063

Coding Section 

Codes Number Description
CPT 81210 

BRAF (v-raf murine sarcoma viral oncogene homolog B1) (e.g., colon cancer), gene analysis, V600E variant 

  81275 

KRAS (v-Ki-ras2 Kirsten rat sarcoma viral oncogene) (e.g., carcinoma) gene analysis, variants in codons 12 and 13 

  81276 (effective 1/1/2016)

KRAS (Kirsten rat sarcoma viral oncogene homolog) (e.g., carcinoma) gene analysis; additional variant(s) (e.g., codon 61, codon 146)

  81311 (effective 1/1/2016)

NRAS (neuroblastoma RAS viral (v-ras) oncogene homolog) (e.g., colorectal carcinoma), gene analysis, variants in exon 2 (e.g., codons 12 and 13) and exon 3 (e.g., codon 61) 

  81403 Mopath procedure level 4
  81405 

Molecular pathology procedure, Level 6 (e.g., analysis of 6 – 10 exons by DNA sequence analysis, mutation scanning or duplication/deletion variants of 11-25 exons, regionally targeted cytogenomic array analysis) 

  81479

Unlisted molecular pathology procedure  

  81525 Oncology (colon), mRNA, gene expression profiling by real-time RT-PCR of 12 genes (7 content and 5 housekeeping), utilizing formalin-fixed paraffin-embedded tissue, algorithm reported as a recurrence score
Proprietary test: Oncotype DX® Colon Cancer Assay
Lab/manufacturer: Genomic Health
  81599 Unlisted multianalyte assay with algorithmic analysis
  0111U

Oncology (colon cancer), targeted KRAS (codons 12, 13, and 61) and NRAS (codons 12, 13, and 61) gene analysis utilizing formalin-fixed paraffin-embedded tissue
Proprietary test: Praxis ™ Extended RAS Panel
Lab/Manufacturer: Illumina 

  0471U (effective date 07/01/2024) Oncology (colorectal cancer), qualitative real-time PCR of 35 variants of KRAS and NRAS genes (exons 2, 3, 4), formalin fixed paraffin-embedded (FFPE), predictive, identification of detected mutations
Proprietary test: CRCdx® RAS Mutation Detection Kit
Lab/Manufacturer: EntroGen Inc., EntroGen Inc. 
  0498U (effective date 10/01/2024) Oncology (colorectal), nextgeneration sequencing for mutation detection in 43 genes and methylation pattern in 45 genes, blood, and formalin-fixed paraffin-embedded (FFPE) tissue, report of variants and methylation pattern with interpretation
ICD-10-CM (effective 10/01/15) C18.0-C18.9 Malignant neoplasm of colon code range
  C19 Malignant neoplasm of rectosigmoid junction
  C20 Malignant neoplasm of rectum
  C78.5 Secondary malignant neoplasm of large intestine and rectum
ICD-10-PCS (effective 10/01/15)   Not applicable. ICD-10-PCS codes are only used for inpatient services. No ICD procedure codes exist for laboratory tests.
Type of Service    
Place of Service    

Procedure and diagnosis codes on Medical Policy documents are included only as a general reference tool for each policy. They may not be all-inclusive. 

This medical policy was developed through consideration of peer-reviewed medical literature generally recognized by the relevant medical community, U.S. FDA approval status, nationally accepted standards of medical practice and accepted standards of medical practice in this community and other nonaffiliated technology evaluation centers, reference to federal regulations, other plan medical policies, and accredited national guidelines.

"Current Procedural Terminology © American Medical Association. All Rights Reserved" 

History From 2014 Forward     

09/12/2024 Annual review, adding new coverage statement #4 for clarity and consistency. Updating note to direct reader to CAM 235. Also updating rationale, references, and the last entry in the table of terminology.
09/05/2024 Updated CPT coding. Added code 0498U (effective 10/01/2024). No change in policy intent.
08/28/2024 Corrected Review date. No other changes made.
06/25/2024 Interim review to add PLA code 0471U to coding section.
07/25/2023 Annual review, merging content from CAM 296 into this policy, also updating policy verbiage, title to reflect that. Updating description, note, table of terminology, rationale and references. Also adding codes 81479, 81525 and 81599.
07/26/2022

Annual review, policy verbiage rewritten for clarity without change to intent. Also updating coding, description, rationale and references.

07/27/2021 

Annual review, no change to policy intent. Updating rationale and references. Removing regulatory status as that is included in the rationale. 

07/14/2020 

Annual review, no change to policy intent. Reformatting for clarity. 

07/12/2019 

Annual review, no change to policy intent, adding note for clarity of testing. 

07/25/2018 

Annual review, investigational statement expanded for specificity. Other changes in policy for clarity, no change to policy intent. 

07/12/2017 

Annual review, no change to policy intent. 

04/25/2017 

Updated category to Laboratory. No other changes. 

10/03/2016 

Interim review updating policy verbiage to expand coverage. 

06/16/2016 

Interim review, changing review month to June from December. Updating policy to add medically necessary criteria for NRAS testing. Updating background, description, guidelines, benefit applications, rationale, references and coding. Adding regulatory status. 

05/04/2016 

Corrected a formatting issue. 

01/04/2016

Updated CPT codes. No change to policy intent. 

12/21/2015 

Interim review, updating to allow medical necessity criteria for NRAS and BRAF testing. 

12/1/2015 

Updated CPT codes with 2016 codes. No change to intent of policy. 

06/15/2015 

Annual review, policy title updated to include NRAS testing, policy verbiage updated to include: "NRAS mutation analysis is considered investigatonal to predict nonresponse to anti-EGFR monoclonal antibodies cetuximab and panitumumab in the treatment of metastatic colorectal cancer.", updated background, description, rationale and references. Added guidelines, regulatory status and coding. 

06/10/2014

Annual review. Added benefit applications. Updated description/background, rationale and references. Updated policy verbiage, but, NO change to policy intent.

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