Literature DB >> 30549039

The genomic alterations of lung adenocarcinoma and lung squamous cell carcinoma can explain the differences of their overall survival rates.

Fanlu Meng1, Linlin Zhang1, Yaoyao Ren1, Qing Ma1.   

Abstract

In the US, lung carcinoma accounted for over 150,000 deaths in 2018 and the advances in increasing survival rates are still limited. In this study, we investigated the cohorts with lung adenocarcinoma (LUAD) or lung squamous cell carcinoma (LUSC) from The Cancer Genome Atlas to figure out the risk factors and genomic alterations that affected their prognosis. The histoclinical factors that differed between LUAD and LUSC were identified and the risk factors affecting the overall survival were figured out for both LUAD and LUSC. Next, the patterns of nucleotides substitutions and the mutational signatures were extracted to illustrate whether different mutational processes performed for them. Finally, the genes that had different frequencies of mutation were identified. LUAD and LUSC presented differences in histoclinical factors including age at the time of diagnosis, sex, smoking history, pathological T classification, and overall survival. This was caused by the distinct genomic alterations including the transition-to-transversion ratios, mutational signatures, and the frequently mutated genes. We proposed that the mutational signature associated with aging could be used to predict the prognosis of patients with LUAD. On the other hand, the AID/APOBEC family was associated with the prognosis of LUSC. Finally, SNTG1 and LRRK2 might be important in LUAD and LUSC, respectively.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  lung adenocarcinoma (LUAD); lung squamous cell carcinoma (LUSC); mutational signatures; survival analysis

Mesh:

Substances:

Year:  2018        PMID: 30549039     DOI: 10.1002/jcp.27917

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  11 in total

1.  Integrated analysis of optical mapping and whole-genome sequencing reveals intratumoral genetic heterogeneity in metastatic lung squamous cell carcinoma.

Authors:  Yizhou Peng; Chongze Yuan; Xiaoting Tao; Yue Zhao; Xingxin Yao; Lingdun Zhuge; Jianwei Huang; Qiang Zheng; Yue Zhang; Hui Hong; Haiquan Chen; Yihua Sun
Journal:  Transl Lung Cancer Res       Date:  2020-06

2.  Endogenous APOBEC3B overexpression characterizes HPV-positive and HPV-negative oral epithelial dysplasias and head and neck cancers.

Authors:  Prokopios P Argyris; Peter E Wilkinson; Matthew C Jarvis; Kelly R Magliocca; Mihir R Patel; Rachel I Vogel; Rajaram Gopalakrishnan; Ioannis G Koutlas; Reuben S Harris
Journal:  Mod Pathol       Date:  2020-07-06       Impact factor: 7.842

3.  Integrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer.

Authors:  Özgür Cem Erkin; Betül Cömertpay; Esra Göv
Journal:  Bioinform Biol Insights       Date:  2022-04-06

4.  Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.

Authors:  Jingyuan Li; Xingyuan Liu; Zan Cui; Guanying Han
Journal:  Med Sci Monit       Date:  2020-06-24

5.  An Adaptive Transfer-Learning-Based Deep Cox Neural Network for Hepatocellular Carcinoma Prognosis Prediction.

Authors:  Hua Chai; Long Xia; Lei Zhang; Jiarui Yang; Zhongyue Zhang; Xiangjun Qian; Yuedong Yang; Weidong Pan
Journal:  Front Oncol       Date:  2021-09-27       Impact factor: 6.244

6.  Combining Genetic Mutation and Expression Profiles Identifies Novel Prognostic Biomarkers of Lung Adenocarcinoma.

Authors:  Yun Liu; Fu Liu; Xintong Hu; Jiaxue He; Yanfang Jiang
Journal:  Clin Med Insights Oncol       Date:  2020-10-28

7.  Recurrent HBV Integration Targets as Potential Drivers in Hepatocellular Carcinoma.

Authors:  Selena Y Lin; Adam Zhang; Jessica Lian; Jeremy Wang; Ting-Tsung Chang; Yih-Jyh Lin; Wei Song; Ying-Hsiu Su
Journal:  Cells       Date:  2021-05-23       Impact factor: 6.600

8.  A nomogram for the prediction of overall survival in patients with stage II and III non-small cell lung cancer using a population-based study.

Authors:  Yi Liao; Xue Wang; Ping Zhong; Guofang Yin; Xianming Fan; Chengliang Huang
Journal:  Oncol Lett       Date:  2019-10-10       Impact factor: 2.967

9.  Dynamic nomograms combining N classification with ratio-based nodal classifications to predict long-term survival for patients with lung adenocarcinoma after surgery: a SEER population-based study.

Authors:  Suyu Wang; Yue Yu; Wenting Xu; Xin Lv; Yufeng Zhang; Meiyun Liu
Journal:  BMC Cancer       Date:  2021-08-04       Impact factor: 4.430

10.  Circulating miR-17 as a promising diagnostic biomarker for lung adenocarcinoma: evidence from the Gene Expression Omnibus.

Authors:  Erna Jia; Na Ren; Rongkui Zhang; Changyu Zhou; Jinru Xue
Journal:  Transl Cancer Res       Date:  2020-09       Impact factor: 1.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.