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Journal of Translational Medicine
Published in: Journal of Translational Medicine 1/2020

Open Access 01-12-2020 | Gastric Cancer | Research

Development and validation of a hypoxia-immune-based microenvironment gene signature for risk stratification in gastric cancer

Authors: Yifan Liu, Jianhua Wu, Weiwei Huang, Shaowen Weng, Baochun Wang, Yiming Chen, Hao Wang

Published in: Journal of Translational Medicine | Issue 1/2020

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Abstract

Background

Increasing evidences have found that the clinical importance of the interaction between hypoxia and immune status in gastric cancer microenvironment. However, reliable prognostic signatures based on combination of hypoxia and immune status have not been well-established. This study aimed to develop a hypoxia-immune-based gene signature for risk stratification in gastric cancer.

Methods

Hypoxia and immune status was estimated with transcriptomic profiles for a discovery cohort from GEO database using the t-SNE and ESTIMATE algorithms, respectively. The Cox regression model with the LASSO method was applied to identify prognostic genes and to develop a hypoxia-immune-based gene signature. The TCGA cohort and two independent cohorts from GEO database were used for external validation.

Results

Low hypoxia status (p < 0.001) and high immune status (p = 0.005) were identified as favorable factors for patients’ overall survival. By using the LASSO model, four genes, including CXCR6, PPP1R14A and TAGLN, were identified to construct a gene signature for risk stratification. In the discovery cohort (n = 357), patients with low risk yielded better outcomes than those with high risk regarding overall survival across and within TNM stage subgroups. Multivariate analysis identified the hypoxia-immune-based gene signature as an independent prognostic factor (p < 0.001). A nomogram integrating the gene signature and known risk factors yielded better performance and net benefits in calibration and decision curve analyses. Similar results were validated in the TCGA (n = 321) and two independent GEO (n = 300 and n = 136, respectively) cohorts.

Conclusions

The hypoxia-immune-based gene signature represents a promising tool for risk stratification tool in gastric cancer. It might serve as a prognostic classifier for clinical decision-making regarding individualized prognostication and treatment, and follow-up scheduling.
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Metadata
Title
Development and validation of a hypoxia-immune-based microenvironment gene signature for risk stratification in gastric cancer
Authors
Yifan Liu
Jianhua Wu
Weiwei Huang
Shaowen Weng
Baochun Wang
Yiming Chen
Hao Wang
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2020
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-020-02366-0

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Keynote webinar | Spotlight on medication adherence

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Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

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