| Title: | Integration of pathologic characteristics, genetic risk and lifestyle exposure for colorectal cancer survival assessment |
| Journal: | Nature Communications |
| Published: | 8 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38589358/ |
| DOI: | https://doi.org/10.1038/s41467-024-47204-9 |
| URL: | https://www.nature.com/articles/s41467-024-47204-9.pdf |
Publication 9943
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Abstract
The development of an effective survival prediction tool is key for reducing colorectal cancer mortality. Here, we apply a three-stage study to devise a polygenic prognostic score (PPS) for stratifying colorectal cancer overall survival. Leveraging two cohorts of 3703 patients, we first perform a genome-wide survival association analysis to develop eight candidate PPSs. Further using an independent cohort with 470 patients, we identify the 287 variants-derived PPS (i.e., PPS287) achieving an optimal prediction performance [hazard ratio (HR) per SD = 1.99, P = 1.76 × 10−8], accompanied by additional tests in two external cohorts, with HRs per SD of 1.90 (P = 3.21 × 10−14; 543 patients) and 1.80 (P = 1.11 × 10−9; 713 patients). Notably, the detrimental impact of pathologic characteristics and genetic risk could be attenuated by a healthy lifestyle, yielding a 7.62% improvement in the 5-year overall survival rate. Therefore, our findings demonstrate the integrated contribution of pathologic characteristics, germline variants, and lifestyle exposure to the prognosis of colorectal cancer patients.</p>
16 Authors
- Junyi Xin
- Dongying Gu
- Shuwei Li
- Sangni Qian
- Yifei Cheng
- Wei Shao
- Shuai Ben
- Silu Chen
- Linjun Zhu
- Mingjuan Jin
- Kun Chen
- Zhibin Hu
- Zhengdong Zhang
- Mulong Du
- Hongbing Shen
- Meilin Wang
1 Application
| Application ID | Title |
|---|---|
| 45611 | Genome-wide cross-trait analysis for genetic architecture of pan-cancer by UK Biobank |
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