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Copyright © 2022 Xiahui Yang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background. Hypoxia is a typical microenvironmental feature of most solid tumors, affecting a variety of physiological processes. We developed a hypoxia-related prognostic risk score (HPRS) model to reveal tumor microenvironment (TME) and predict prognosis of lung adenocarcinoma (LUAD). Methods. LUAD sample expression data were from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) Cox regression identified hypoxia-related genes (HRGs) to create HPRS. The prognostic value, genetic mutation and TME, and therapeutic response of distinct HPRS groups were analyzed. Univariate and multivariate Cox regression analysis identified independent factors associated with the prognosis of LUAD. A decision tree based on HPRS and clinicopathological variables was established using the classification system based on decision tree algorithm. A nomogram was constructed with important clinical features and HPRS by the RMS package. Results. A HPRS model with five HRGs was developed and verified in two separate cohorts of GEO. HPRS model divided patients with LUAD into two groups. High HPRS was related to high probability of genetic alterations. HPRS could predict the prognosis, TME, and sensitivity to immunotherapy/chemotherapy of LUAD. The decision tree defined four risk subgroups with significant OS differences. Nomogram with integrated HPRS and clinical features had acceptable accuracy in predicting LUAD prognosis. Conclusions. A HPRS model was developed to evaluate prognosis, genetic alterations, TME, and response to immunotherapy, which may provide theoretical reference for the study of molecular mechanism of hypoxia in LUAD.

Details

Title
A New Hypoxia-Related Prognostic Risk Score (HPRS) Model Was Developed to Indicate Prognosis and Response to Immunotherapy for Lung Adenocarcinoma
Author
Yang, Xiahui 1 ; Liang, Minchao 2 ; Yu, Zhiqi 1 ; Fan, Jiaquan 1   VIAFID ORCID Logo 

 Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Guangzhou Medical University, PCODE:440100, Guangzhou, China 
 Department of Oncology, HaploX Biotechnology, 8 / F, Aotexin Power Building, No.1, Songpingshan Road, High Tech North District, Nanshan District, Shenzhen 110000, Guangdong Province, China 
Editor
Mingjun Zheng
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
ISSN
16878450
e-ISSN
16878469
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2699543578
Copyright
Copyright © 2022 Xiahui Yang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.