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Contribution of Immunoscore and Molecular Features to Survival Prediction in Stage III Colon Cancer.


ABSTRACT: Background:The American Joint Committee on Cancer staging and other prognostic tools fail to account for stage-independent variability in outcome. We developed a prognostic classifier adding Immunoscore to clinicopathological and molecular features in patients with stage III colon cancer. Methods:Patient (n?=?559) data from the FOLFOX arm of adjuvant trial NCCTG N0147 were used to construct Cox models for predicting disease-free survival (DFS). Variables included age, sex, T stage, positive lymph nodes (+LNs), N stage, performance status, histologic grade, sidedness, KRAS/BRAF, mismatch repair, and Immunoscore (CD3+, CD8+ T-cell densities). After determining optimal functional form (continuous or categorical) and within Cox models, backward selection was performed to analyze all variables as candidate predictors. All statistical tests were two-sided. Results:Poorer DFS was found for tumors that were T4 vs T3 (hazard ratio [HR] = 1.76, 95% confidence interval [CI] = 1.19 to 2.60; P?=?.004), right- vs left-sided (HR = 1.52, 95% CI = 1.14 to 2.04; P?=?.005), BRAF V600E (HR = 1.74, 95% CI = 1.26 to 2.40; P?

SUBMITTER: Sinicrope FA 

PROVIDER: S-EPMC7236783 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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<h4>Background</h4>The American Joint Committee on Cancer staging and other prognostic tools fail to account for stage-independent variability in outcome. We developed a prognostic classifier adding Immunoscore to clinicopathological and molecular features in patients with stage III colon cancer.<h4>Methods</h4>Patient (n = 559) data from the FOLFOX arm of adjuvant trial NCCTG N0147 were used to construct Cox models for predicting disease-free survival (DFS). Variables included age, sex, T stage  ...[more]

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