期刊
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
卷 25, 期 14, 页码 6874-6886出版社
WILEY
DOI: 10.1111/jcmm.16696
关键词
Colorectal cancer; Immunotherapy; MicroRNA; Prognosis
资金
- Henan Province Young and Middle-Aged Health Science and Technology Innovation Talent Project [YXKC2020037]
- Henan Provincial Health Commission Joint Youth Project [SB201902014]
A miRNA prognostic signature (IAMIPS) was developed and validated for evaluating overall survival and inflammatory landscape of CRC patients, proving to be more accurate than traditional clinical stage. Patients in the high-risk group showed worse outcomes and IAMIPS remained a powerful independent predictor for OS even after stratification for clinical factors.
As essential regulators of gene expression, miRNAs are engaged in the initiation and progression of colorectal cancer (CRC), including antitumour immune response. In this study, we proposed an integrated algorithm, ImmuMiRNA, for identifying miRNA modulators of immune-associated pathways. Based on these immune-associated miRNAs, we applied the LASSO algorithm to develop a reliable and individualized signature for evaluating overall survival (OS) and inflammatory landscape of CRC patients. An external public data set and qRT-PCR data from 40 samples were further utilized to validate this signature. As a result, an immune-associated miRNA prognostic signature (IAMIPS) consisting of three miRNAs (miR-194-3P, miR-216a-5p and miR-3677-3p) was established and validated. Patients in the high-risk group possessed worse OS. After stratification for clinical factors, the signature remained a powerful independent predictor for OS. IAMIPS displayed much better accuracy than the traditional clinical stage in assessing the prognosis of CRC. Further analysis revealed that patients in the high-risk group were characterized by inflammatory response, abundance immune cell infiltration, and higher immune checkpoint profiles and tumour mutation burden (TMB). In conclusion, the IAMIPS is highly predictive of OS in patients with CRC, which may serve as a powerful prognostic tool to further optimize immunotherapies for cancer.
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