A survival model for prognostic prediction based on ferroptosis-associated genes and the association with immune infiltration in lung squamous cell carcinoma.

Bibliographic Details
Title:	A survival model for prognostic prediction based on ferroptosis-associated genes and the association with immune infiltration in lung squamous cell carcinoma.
Authors:	Yanyi Lu, Hua Yang, Yunliang Cao, Yunan Wang, Mengjia Wu, Bo He, Junzhu Xu, Zixuan Su, Wen Luo, Yuyang Liu, Wei Hu
Source:	PLoS ONE, Vol 18, Iss 3, p e0282888 (2023)
Publisher Information:	Public Library of Science (PLoS), 2023.
Publication Year:	2023
Collection:	LCC:Medicine LCC:Science
Subject Terms:	Medicine, Science
More Details:	Lung squamous cell carcinoma (LUSC) is the primary pathological type of lung cancer with a less favorable prognosis. This study attempts to construct a ferroptosis-associated signature associated with overall survival (OS) that can predict the prognosis of LUSC and explore its relationship with immune infiltration. A 5 ferroptosis-associated gene model was constructed by LASSO-penalized regression analysis to predict the prognosis of patients with LUSC in the TCGA database and validated in the GEO and TCGA databases. Patients were stratified into high-risk and low-risk groups by the median value of the risk scores, and the former prognosis was significantly worse (P
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1932-6203
Relation:	https://doaj.org/toc/1932-6203
DOI:	10.1371/journal.pone.0282888
Access URL:	https://doaj.org/article/f1824675e9f548358a1bcf9676bfee0d
Accession Number:	edsdoj.f1824675e9f548358a1bcf9676bfee0d
Database:	Directory of Open Access Journals
Full text is not displayed to guests.	Login for full access.

More Details
ISSN:	19326203
DOI:	10.1371/journal.pone.0282888
Published in:	PLoS ONE
Language:	English