Journal
EMBO MOLECULAR MEDICINE
Volume 11, Issue 10, Pages -Publisher
WILEY
DOI: 10.15252/emmm.201810168
Keywords
biomarker; circular RNA; recurrence; stage II; III colon cancer
Categories
Funding
- National Natural Science Foundation of Guangdong Province [2018B030306049, 2014A030312015]
- Pearl River S& T Nova Program of Guangzhou [201806010002]
- Health Medical Collaborative Innovation Program of Guangzhou [201803040019, 201704020228]
- Science and Technology Planning Project of Guangdong Province [A2019398, 2015B020232008]
- National Natural Science Foundation of China [81930065]
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Accurate risk stratification for patients with stage II/III colon cancer is pivotal for postoperative treatment decisions. Here, we aimed to identify and validate a circRNA-based signature that could improve postoperative prognostic stratification for these patients. In current retrospective analysis, we included 667 patients with R0 resected stage II/III colon cancer. Using RNA-seq analysis of 20 paired frozen tissues collected postoperation, we profiled differential circRNA expression between patients with and without recurrence, followed by quantitative validation. With clinical information, we generated a four-circRNA-based cirScore to classify patients into high-risk and low-risk groups in the training cohort. The patients with high cirScores in the training cohort had a shorter disease-free survival (DFS) and overall survival (OS) than patients with low cirScores. The prognostic capacity of the classifier was validated in the internal and external cohorts. Loss-of-function assays indicated that the selected circRNAs played functional roles in colon cancer progression. Overall, our four-circRNA-based classifier is a reliable prognostic tool for postoperative disease recurrence in patients with stage II/III colon cancer.
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