A seven-gene prognostic signature predicts overall survival of patients with lung adenocarcinoma (LUAD)

Autor:	Jingkai Zhang, Dongcen Ge, Ying Yu, Aisha Al-Dherasi, Rulin Hua, Sultan Al-Mosaib, Yuwei Liao, Wanting Bai, Ruimei Liu, Xuehong Zhang, Dekang Lv, Leming Shi, Sufiyan Sufiyan, Zhiguang Li, Yichen Wang, Chao Huang, Haithm Mousa, Quentin Liu, Yu Zhang, Yulong Li, Qi-Tian Huang, Yanyan Shao
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Oncology Cancer Research medicine.medical_specialty Multivariate statistics Lung adenocarcinoma (LUAD) 03 medical and health sciences 0302 clinical medicine Internal medicine Genetics medicine Overall survival RC254-282 030304 developmental biology 0303 health sciences Framingham Risk Score Receiver operating characteristic QH573-671 business.industry Proportional hazards model Mortality rate Prognostic signature Hazard ratio Univariate Neoplasms. Tumors. Oncology. Including cancer and carcinogens Confidence interval 030220 oncology & carcinogenesis Risk score business Primary Research Cytology
Zdroj:	Cancer Cell International, Vol 21, Iss 1, Pp 1-16 (2021) Cancer Cell International
ISSN:	1475-2867
Popis:	Background Lung adenocarcinoma (LUAD) is one of the most common types in the world with a high mortality rate. Despite advances in treatment strategies, the overall survival (OS) remains short. Our study aims to establish a reliable prognostic signature closely related to the survival of LUAD patients that can better predict prognosis and possibly help with individual monitoring of LUAD patients. Methods Raw RNA-sequencing data were obtained from Fudan University and used as a training group. Differentially expressed genes (DEGs) for the training group were screened. The univariate, least absolute shrinkage and selection operator (LASSO), and multivariate cox regression analysis were conducted to identify the candidate prognostic genes and construct the risk score model. Kaplan–Meier analysis, time-dependent receiver operating characteristic (ROC) curve were used to evaluate the prognostic power and performance of the signature. Moreover, The Cancer Genome Atlas (TCGA-LUAD) dataset was further used to validate the predictive ability of prognostic signature. Results A prognostic signature consisting of seven prognostic-related genes was constructed using the training group. The 7-gene prognostic signature significantly grouped patients in high and low-risk groups in terms of overall survival in the training cohort [hazard ratio, HR = 8.94, 95% confidence interval (95% CI)] [2.041–39.2]; P = 0.0004), and in the validation cohort (HR = 2.41, 95% CI [1.779–3.276]; P Conclusion Our study suggested a new and reliable prognostic signature that has a significant implication in predicting overall survival for LUAD patients and may help with early diagnosis and making effective clinical decisions regarding potential individual treatment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba64053254d4bff4d234a8137c6b0aca https://doaj.org/article/95567e414ef6441d91d3d0df21487eec Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.