journal contribution
posted on 2023-03-31, 21:41 authored by Raju Kandimalla, Feng Gao, Takatoshi Matsuyama, Toshiaki Ishikawa, Hiroyuki Uetake, Naoki Takahashi, Yasuhide Yamada, Carlos Becerra, Scott Kopetz, Xin Wang, Ajay Goel Supplementary Figure 4: MRC significantly predicted benefit of adjuvant chemotherapy in microsatellite stable stage III colorectal cancers KM plots depicted in panel A, B, C and D belong to MRC high risk category, while the KM plots in panel E, F, G and H belong to MRC low risk category. KM plots in panel A and E represents the analysis performed on combined stage II and III CRC patients, while panel B and F represents stage II analysis and panel C and G represents stage III patient's analysis separately. KM plots depicted in panel D and H represents the analysis performed on microsatellite stable stage III CRC patients.
Funding
National Cancer Institute
NIH
Cancer Prevention Research Institute of Texas
Baylor Foundation and Baylor Scott & White Research Institute
Research Grants Council of the Hong Kong Special Administrative Region, China
Science Technology and Innovation Committee of Shenzhen
History
ARTICLE ABSTRACT
Purpose: The current tumor–node–metastasis (TNM) staging system is inadequate at identifying patients with high-risk colorectal cancer. Using a systematic and comprehensive biomarker discovery and validation approach, we aimed to identify an miRNA recurrence classifier (MRC) that can improve upon the current TNM staging as well as is superior to currently offered molecular assays.Experimental Design: Three independent genome-wide miRNA expression profiling datasets were used for biomarker discovery (N = 158) and in silico validation (N = 109 and N = 40) to identify an miRNA signature for predicting tumor recurrence in patients with colorectal cancer. Subsequently, this signature was analytically trained and validated in retrospectively collected independent patient cohorts of fresh-frozen (N = 127, cohort 1) and formalin-fixed paraffin-embedded (FFPE; N = 165, cohort 2 and N = 139, cohort 3) specimens.Results: We identified an 8-miRNA signature that significantly predicted recurrence-free interval (RFI) in the discovery (P = 0.002) and two independent publicly available datasets (P = 0.00006 and P = 0.002). The RT-PCR–based validation in independent clinical cohorts revealed that MRC-derived high-risk patients succumb to significantly poor RFI in patients with stage II and III colorectal cancer [cohort 1: hazard ratio (HR), 3.44 (1.56–7.45), P = 0.001; cohort 2: HR, 6.15 (3.33–11.35), P = 0.001; and cohort 3: HR, 4.23 (2.26–7.92), P = 0.0003]. In multivariate analyses, MRC emerged as an independent predictor of tumor recurrence and achieved superior predictive accuracy over the currently available molecular assays. The RT-PCR–based MRC risk score = (−0.1218 × miR-744) + (−3.7142 × miR-429) + (−2.2051 × miR-362) + (3.0564 × miR-200b) + (2.4997 × miR-191) + (−0.0065 × miR-30c2) + (2.2224 × miR-30b) + (−1.1162 × miR-33a).Conclusions: This novel MRC is superior to currently used clinicopathologic features, as well as National Comprehensive Cancer Network (NCCN) criteria, and works regardless of adjuvant chemotherapy status in identifying patients with high-risk stage II and III colorectal cancer. This can be readily deployed in clinical practice with FFPE specimens for decision-making pending further model testing and validation. Clin Cancer Res; 24(16); 3867–77. ©2018 AACR.See related commentary by Rodriguez et al., p. 3787
