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GWAS Study

Integration of pathologic characteristics, genetic risk and lifestyle exposure for colorectal cancer survival assessment.

Xin J, Gu D, Li S et al.

38589358 PubMed ID
GWAS Study Type
3703 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

XJ
Xin J
GD
Gu D
LS
Li S
QS
Qian S
CY
Cheng Y
SW
Shao W
BS
Ben S
CS
Chen S
ZL
Zhu L
JM
Jin M
CK
Chen K
HZ
Hu Z
ZZ
Zhang Z
DM
Du M
SH
Shen H
WM
Wang M
Chapter II

Abstract

Summary of the research findings

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.

2,621 European ancestry individuals, 1,082 Chinese ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

3703
Total Participants
GWAS
Study Type
No
Replicated
European, East Asian
Ancestry
U.K.
Recruitment Country
Chapter IV

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