scholarly journals The association of HLA/KIR genes with non-small cell lung cancer (adenocarcinoma) in a Han Chinese population

2019 ◽  
Vol 10 (20) ◽  
pp. 4731-4738
Author(s):  
Yingfu Li ◽  
Shuyuan Liu ◽  
Chao Hong ◽  
Qianli Ma ◽  
Fang Tan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Chinese Population ◽  
Small Cell ◽  
Han Chinese ◽  
Small Cell Lung ◽  
Han Chinese Population ◽  
Kir Genes

scholarly journals Genetic variations in miR‐125 family and the survival of non‐small cell lung cancer in Chinese population

2019 ◽  
Vol 8 (5) ◽  
pp. 2636-2645
Author(s):  
Shuangshuang Wu ◽  
Wei Shen ◽  
Lu Yang ◽  
Meng Zhu ◽  
Mingjiong Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Chinese Population ◽  
Genetic Variations ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals Prognostic Value of Germline Copy Number Variants and Environmental Exposures in Non-small Cell Lung Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Shizhen Chen ◽  
Liming Lu ◽  
Jianfeng Xian ◽  
Changhong Shi ◽  
Jinbin Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Chinese Population ◽  
Validation Cohort ◽  
Small Cell ◽  
Polygenic Risk Score ◽  
Small Cell Lung ◽  
Training Cohort

Germline copy number variant (gCNV) has been studied as a genetic determinant for prognosis of several types of cancer, but little is known about how it affects non-small cell lung cancer (NSCLC) prognosis. We aimed to develop a prognostic nomogram for NSCLC based on gCNVs. Promising gCNVs that are associated with overall survival (OS) of NSCLC were sorted by analyzing the TCGA data and were validated in a small Chinese population. Then the successfully verified gCNVs were determined in a training cohort (n = 570) to develop a prognostic nomogram, and in a validation cohort (n = 465) to validate the nomogram. Thirty-five OS-related gCNVs were sorted and were reduced to 15 predictors by the Lasso regression analysis. Of them, only CNVR395.1 and CNVR2239.1 were confirmed to be associated with OS of NSCLC in the Chinese population. High polygenic risk score (PRS), which was calculated by the hazard effects of CNVR395.1 and CNVR2239.1, exerted a significantly higher death rate in the training cohort (HR = 1.41, 95%CI: 1.16–1.74) and validation cohort (HR = 1.42, 95%CI: 1.13–1.77) than low PRS. The nomogram incorporating PRS and surrounding factors, achieved admissible concordance indexes of 0.678 (95%CI: 0.664–0.693) and 0.686 (95%CI: 0.670–0.702) in predicting OS in the training and validation cohorts, respectively, and had well-fitted calibration curves. Moreover, an interaction between PRS and asbestos exposure was observed on affecting OS (Pinteraction = 0.042). Our analysis developed a nomogram that achieved an admissible prediction of NSCLC survival, which would be beneficial to the personalized intervention of NSCLC.

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