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Sun, J.* ; Zhao, T. ; Zhao, D.* ; Qi, X.* ; Bao, X. ; Shi, R.* ; Su, C.*

Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients.

Ther. Adv. Med. Oncol. 12, 1-14 (2020)

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Background: Patients with early-stage lung adenocarcinoma (LUAD) exhibit significant heterogeneity in overall survival. The current tumour-node-metastasis staging system is insufficient to provide precise prediction for prognosis. Methods: We quantified the levels of various hallmarks of cancer and identified hypoxia as the primary risk factor for overall survival in early-stage LUAD. Different bioinformatic and statistical methods were combined to construct a robust hypoxia-related gene signature for prognosis. Furthermore, a decision tree and a nomogram were constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients. Results: The hypoxia-related gene signature discriminated high-risk patients at an early stage in our investigated cohorts. Survival analyses demonstrated that our gene signature served as an independent risk factor for overall survival. The decision tree identified risk subgroups powerfully, and the nomogram exhibited high accuracy. Conclusions: Our study might contribute to the optimization of risk stratification for survival and personalized management of early-stage LUAD.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Early-stage Lung Adenocarcinoma ; Gene Signature ; Hypoxia ; Prognosis ; Therapeutic Resistance; Cancer; Prognosis; Progression; Metastasis; Resistance

ISSN (print) / ISBN 1758-8340

e-ISSN 1758-8359

Journal Therapeutic advances in medical oncology

Quellenangaben Volume: 12, Pages: 1-14

Publisher Sage

Publishing Place London

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Epidemiology (EPI)
Institute of Radiation Biology (ISB)