Dataset Information

Prognostic evaluation of polygenic risk score underlying pan-cancer analysis: evidence from two large-scale cohorts.

ABSTRACT:

Background

Polygenic risk score (PRS) has been demonstrated to be effective in identifying individuals at high risk of developing cancer, but its prognostic value remains unclear.

Methods

We constructed site-specific PRSs by aggregating the risk effect of independent variants derived from previous genome-wide association studies (GWASs) across 17 cancer types. The Cox proportional hazards model was used to evaluate the association of each PRS with cancer survival, leveraging data from two prospective European cohorts, namely the UK Biobank involving 19,628 incident cases and The Cancer Genome Atlas involving 7079 prevalent cases. The combined PRS (CPRS), determined by merging site-specific PRSs, was further used to assess the prognostic effect of PRS on overall cancer in a sex-specific manner.

Findings

We discovered that the cancer risk-related PRS was associated with neither overall survival (OS) nor cancer-specific survival (CSS) of each site-specific cancer with an underlying false discovery rate (FDR) P > 0.05, as evidenced by consistent findings from the two cohorts. Furthermore, the fixed-effect meta-analysis of the two cohorts provided no evidence to support for an association between CPRS and overall cancer survival in both males [OS: hazard ratio (HR)_meta = 1.00, P_meta = 0.760; CSS: HR_meta = 1.01, P_meta = 0.447] and females (OS: HR_meta = 0.97, P_meta = 0.067; CSS: HR_meta = 0.96, P_meta = 0.054). Similar results were observed across multiple sensitivity analyses.

Interpretation

Our findings indicate that the risk-specific PRS might not be a clinically useful tool in cancer prognosis prediction and further studies focusing on the development of polygenic prognostic score are warranted.

Funding

This project was funded by the National Natural Science Foundation of China (82173601 and 82073631), and Priority Academic Program Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine).

SUBMITTER: Xin J

PROVIDER: S-EPMC9931923 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

Prognostic evaluation of polygenic risk score underlying pan-cancer analysis: evidence from two large-scale cohorts.

Xin Junyi J Jiang Xia X Li Huiqin H Chen Silu S Zhang Zhengdong Z Wang Meilin M Gu Dongying D Du Mulong M Christiani David C DC

EBioMedicine 20230203

<h4>Background</h4>Polygenic risk score (PRS) has been demonstrated to be effective in identifying individuals at high risk of developing cancer, but its prognostic value remains unclear.<h4>Methods</h4>We constructed site-specific PRSs by aggregating the risk effect of independent variants derived from previous genome-wide association studies (GWASs) across 17 cancer types. The Cox proportional hazards model was used to evaluate the association of each PRS with cancer survival, leveraging data ...[more]

PMID: 36739632

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Dataset Information

Prognostic evaluation of polygenic risk score underlying pan-cancer analysis: evidence from two large-scale cohorts.

Background

Methods

Findings

Interpretation

Funding

Publications

Prognostic evaluation of polygenic risk score underlying pan-cancer analysis: evidence from two large-scale cohorts.

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