{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Diao S"],"funding":["the Disciplines of Excellence-Clinical Research Incubation Project, West China Hospital, Sichuan University","Project of Sichuan Provincial Health Commission on breast cancer among urban women","National Natural Science Foundation of China"],"pagination":["8230"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8050206"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(1)"],"pubmed_abstract":["There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess breast cancer risk. Based on evidence from high-quality systematic reviews and population studies, we selected nine such proteins that are stable in vitro, and measured their circulating concentrations by ELISA in a case-control study conducted in Chengdu, Sichuan, China, with 279 breast cancer cases and 260 healthy controls. Two obesity-related protein scores (ORPS) were calculated using a three-step method, with linear-weighted summation, and the one with a larger area under the curve was chosen for further evaluation. As a result, ORPS (PS<sub>5pre</sub> or PS<sub>4post</sub>) was positively correlated with breast cancer risk (premenopausal: OR<sub>≤63 VS >63</sub> 3.696, 95% CI 2.025-6.747; postmenopausal: OR<sub>≤38 VS >38</sub> 7.100, 95% CI 3.134-16.084), and represented a better risk predictor among obese women compared to non-obese in pre- and postmenopausal women. Among different molecular subtypes, ORPS was positively correlated with Luminal breast cancer, with additionally positive association with triple-negative breast cancer in premenopausal women. The ORPS might be a potential marker of breast cancer risk among Chinese women."],"journal":["Scientific reports"],"pubmed_title":["Obesity-related proteins score as a potential marker of breast cancer risk."],"pmcid":["PMC8050206"],"funding_grant_id":["No. 2020HXFH009","No. 20PJ093","No. 81874282"],"pubmed_authors":["Li X","Tian L","Li J","Xu B","Zhang X","Diao S","Miao Y","Hao Y","Ye F","Wu X","Zhao X"],"additional_accession":[]},"is_claimable":false,"name":"Obesity-related proteins score as a potential marker of breast cancer risk.","description":"There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess breast cancer risk. Based on evidence from high-quality systematic reviews and population studies, we selected nine such proteins that are stable in vitro, and measured their circulating concentrations by ELISA in a case-control study conducted in Chengdu, Sichuan, China, with 279 breast cancer cases and 260 healthy controls. Two obesity-related protein scores (ORPS) were calculated using a three-step method, with linear-weighted summation, and the one with a larger area under the curve was chosen for further evaluation. As a result, ORPS (PS<sub>5pre</sub> or PS<sub>4post</sub>) was positively correlated with breast cancer risk (premenopausal: OR<sub>≤63 VS >63</sub> 3.696, 95% CI 2.025-6.747; postmenopausal: OR<sub>≤38 VS >38</sub> 7.100, 95% CI 3.134-16.084), and represented a better risk predictor among obese women compared to non-obese in pre- and postmenopausal women. Among different molecular subtypes, ORPS was positively correlated with Luminal breast cancer, with additionally positive association with triple-negative breast cancer in premenopausal women. The ORPS might be a potential marker of breast cancer risk among Chinese women.","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2026-05-08T06:16:12.272Z","creation":"2022-02-09T15:55:33.159Z"},"accession":"S-EPMC8050206","cross_references":{"pubmed":["33859244"],"doi":["10.1038/s41598-021-87583-3"]}}