Establishing a Prediction Model for the Efficacy of Platinum—Based Chemotherapy in NSCLC Based on a Two Cohorts GWAS Study

Release time:2023-02-08

Impact Factor:4.964

DOI number:10.3390/jcm12041318

Affiliation of Author(s):Xiangya Hospital, Central South University

Teaching and Research Group:Department of Clinical Pharmacology

Journal:Journal of Clinical Medicine

Place of Publication:Switzerland

Abstract:Platinum drugs combined with other agents have been the first-line treatment for non-small cell lung cancer (NSCLC) in the past decades. To better evaluate the efficacy of platinum–based chemotherapy in NSCLC, we establish a platinum chemotherapy response prediction model. Here, a total of 217 samples from Xiangya Hospital of Central South University were selected as the discovery cohort for a genome-wide association analysis (GWAS) to select SNPs. Another 216 samples were genotyped as a validation cohort. In the discovery cohort, using linkage disequilibrium (LD) pruning, we extract a subset that does not contain correlated SNPs. The SNPs with p < 10−3 and p < 10−4 are selected for modeling. Subsequently, we validate our model in the validation cohort. Finally, clinical factors are incorporated into the model. The final model includes four SNPs (rs7463048, rs17176196, rs527646, and rs11134542) as well as two clinical factors that contributed to the efficacy of platinum chemotherapy in NSCLC, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.726.

Co-author:Wei Zhang, Xiaoyuan Mao, Xi Li, Lulu Yu, Bing Yu, Hanxue Huang, Ying Gao, Chenxue Mao

First Author:Qi Xiao

Indexed by:Article

Correspondence Author:Jiye yin, Zhaoqian Liu

Document Code:jcm12041318

Volume:12

Issue:4

Page Number:1318

ISSN No.:2077-0383

Translation or Not:no

Date of Publication:2023-02-07

Included Journals:SCI