October 29, 2015
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CSS sets predict risk category, RFS in colorectal cancer
Combinatory cancer hallmark-based gene signature sets more effectively predicted risk category and RFS than other prognostic predictors for patients with stage II colorectal cancer, according to results of a meta-analysis.
Edwin Wang, PhD, of the department of medicine at McGill University in Montreal, and colleagues sought to develop combinatory cancer hallmark-based gene signature sets (CSS) to better predict prognosis among patients with stage II colorectal cancer. They also hoped to identify patients who might derive benefit from fluorouracil-based adjuvant chemotherapy.
The researchers analyzed 13 retrospective studies of patients with stage II colorectal cancer who received clinical follow-up and underwent adjuvant chemotherapy.
The studies included a combined 1,005 patients. Of these, 162 patients from two studies were used as a discovery cohort, and 843 patients from 11 studies were used as a validation cohort.
In the discovery cohort, Wang and colleagues identified eight cancer hallmark-based gene signatures — comprised of 30 genes each — that were used to construct CSS sets that could predict prognosis.
The investigators validated the CSS sets in 767 patients from the validation cohort who had not undergone fluorouracil-based adjuvant chemotherapy.
The CSS sets classified 60% of patients as low risk, 28% as intermediate risk and 12% as high risk.
Five-year PFS rates were 94% in the low-risk group, 78% in the intermediate-risk group and 45% in the high-risk group (range, P = .02 to P < .001).
Researchers calculated a 94% accuracy rate for predicting low-risk patients and a 55% accuracy for predicting high-risk patients.
In addition, patients who the CSS set classified as having high-risk stage II colorectal cancer derived significant survival benefits from fluorouracil-based adjuvant chemotherapy, demonstrating a 30% to 40% reduced risk for relapse at 5 years (P = .004). However, low-risk patients treated with fluorouracil-based adjuvant chemotherapy demonstrated significantly shorter survival than nontreated patients (P = .04).
The approaches used in this study potentially could be used to investigate treatments for other types of malignancies, Greg Yothers, PhD, of University of Pittsburgh, and colleagues wrote.
“The novel approach of using combinations of gene ontology term-associated signatures has great promise for use in other cancer disease sites and potentially for other diseases with genetic association,” Yothers and colleagues wrote. “This scientific contribution is important even if the present stage II colon cancer results are never widely adopted in the clinic.” – by Jennifer Byrne
Disclosure: The researchers report no relevant disclosures.
Perspective
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David H. Ilson, MD, PhD
Because of the overall favorable survival with surgery alone for most patients with stage II colon cancer, there is ongoing controversy about the potential role for adjuvant therapy and risk stratification for these patients. Current practice is to test the cancers of patients with stage II disease for either loss of DNA–mismatch proteins or the consequent genomic manifestation, microsatellite instability, which is present in up to 15% of patients and conveys a superior prognosis. Some studies indicate a potential survival detriment with therapy with fluorinated pyrimidine monochemotherapy in these patients vs. observation alone. Stage II patients at higher risk for recurrence have been identified by clinical or pathologic characteristics and, across studies, T4 status has consistently predicted a higher risk for recurrence. Treatment guidelines indicate that either observation or treatment with postoperative chemotherapy with a fluorinated pyrimidine with or without oxaliplatin can be considered. However, adjuvant therapy trials have not shown a clear-cut survival benefit for adjuvant treatment of even high-risk stage II disease. Several gene signature profiles have been identified that can risk stratify patients with stage II disease into high, intermediate and low risk for recurrence. Although potentially prognostic, these signatures have not been predictive of a benefit for adjuvant chemotherapy in high-risk patients.
Gao and colleagues now report in
JAMA Oncology what they term a “combinatory cancer hallmark-based gene signature” to predict recurrence and potential chemotherapy benefit in stage II colorectal cancer. They report potentially greater accuracy in risk stratification with the combined gene signature sets. Although 416 patients received adjuvant chemotherapy (the nature of which is never fully defined), only a small patient number of genomic signature-identified high-risk patients were actually treated and appeared to achieve a survival benefit from treatment compared with no treatment. The intermediate-risk patients treated with chemotherapy actually had a worse survival outcome compared with no treatment, but this is not sufficiently elaborated upon. Whether this is a function of presence of DNA–mismatch repair or microsatellite instability-high status is not clarified; the observation of a detrimental effect of fluoropyrimidine monochemotherapy in these patients has again already been reported. Although these data and observations are encouraging and hypothesis generating, the small patient numbers and retrospective nature of the analyses, as well as the potential impact of inclusion of oxaliplatin as part of adjuvant therapy and the feasibility of applying the proposed gene signature, indicate that further study and validation are needed.
David H. Ilson, MD, PhD
HemOnc Today Editorial Board member
Memorial Sloan Kettering Cancer Center
Disclosures: Ilson reports no relevant financial disclosures.
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Source:
Gao S, et al. JAMA Oncol. 2015;doi:10.1001/jamaoncol.2015.3413
Yothers G, et al. JAMA Oncol. 2015;doi:10.1001/jamaoncol.2015.3614.