Development and clinical validation of a novel six-gene signature for accurately predicting the recurrence risk of patients with stage II/III colorectal cancer

Author:

Liu Zaoqu,Lu Taoyuan,Li Jing,Wang Libo,Xu Kaihao,Dang Qin,Guo Chunguang,Liu Long,Jiao Dechao,Sun Zhenqiang,Han XinweiORCID

Abstract

Abstract Background A large number of patients with stage II/III colorectal cancer (CRC) have a high recurrence rate after radical resection. We aimed to develop a novel tool to stratify patients with different recurrence-risk for optimizing decision-making in post-operative surveillance and therapeutic regimens. Methods We retrospectively enrolled four independent cohorts from the Gene Expression Omnibus and 66 CRC tissues from our hospital. The initial signature discovery was conducted in GSE143985 (n = 91). This was followed by independent validation of this signature in GSE17536 (n = 111), GSE29621 (n = 40), and GSE92921 (n = 59). Further experimental validation using qRT-PCR assays (n = 66) was performed to ensure the robustness and clinical feasible of this signature. Results We developed a novel recurrence-related signature consisting of six genes. This signature was validated to be significantly associated with dismal recurrence-free survival in five cohorts GSE143985 (HR: 4.296 [2.612–7.065], P < 0.0001), GSE17536 (HR: 2.354 [1.662–3.334], P < 0.0001), GSE29621 (HR: 3.934 [1.622–9.539], P = 0.0024), GSE92921 (HR: 7.080 [2.011–24.924], P = 0.0023), and qPCR assays (HR: 3.654 [2.217–6.020], P < 0.0001). This signature was also proven to be an independent recurrent factor. More importantly, this signature displayed excellent discrimination and calibration in predicting the recurrence-risk at 1–5 years, with most AUCs were above 0.9, average C-index for the five cohorts was 0.8795, and near-perfect calibration. Conclusions We discovered and experimental validated a novel gene signature with stable and powerful performance for identifying patients at high recurrence-risk in stage II/III CRC.

Funder

National Natural Science Foundation of China

Henan Province Young and Middle‐Aged Health Science and Technology Innovation Talent Project

Henan Provincial Health Commission Joint Youth Project

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3