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Prognostic modelling of colorectal cancer based on oxidative stress-related genes

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Abstract

Background

Colon cancer is one of the most prevalent cancers of the digestive tract. There is mounting evidence that genes associated with oxidative stress might affect the tumour immune microenvironment during tumour growth, maintenance, and treatment response. However, how oxidative stress-related genes affect prognostic importance, tumour microenvironment features, and treatment outcomes in colon cancer patients has not been fully elucidated.

Methods

The Cancer Genome Atlas (TCGA) dataset was used to construct a signature model and nomogram using step and Cox regression approaches to investigate how gene expression affected immunological responses to colon cancer, including the degree of immune infiltration, MSI, and drug sensitivity.

Results and conclusions

The nomogram and the signature model had strong prognostic potential for colon cancer, with gene expression highly correlated with multiple immune cells. The first signature model and nomogram including oxidative stress-related genes were constructed for use in clinical decision-making. In addition, SRD5A1, GSR, TXN, TRAF2 and TRAP1 were identified as potential biomarkers for colon cancer diagnosis and indicators for immunotherapy.

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Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

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Acknowledgements

We acknowledge some students from the Zhejiang Provincial People’s Hospital for kind support.

Funding

No external funding received to conduct this study.

Author information

Author notes

  1. Xiao-yan Wu and Zheng Zhu have equal contributors and co-first authors.

Authors and Affiliations

  1. Center for General Practice Medicine, Nursing Department, Department of Gastroenterology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China

    Xiao-yan Wu

  2. Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang Province, China

    Zheng Zhu

  3. Center for Rehabilitation Medicine, Nursing Department, Department of Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), No.158 Shangtang Road, Hangzhou, Zhejiang, China

    Mei-hua Gai

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  1. Xiao-yan Wu
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Contributions

Meihua Gai conceived study design and content concept; Xiaoyan Wu and Zheng Zhu performed the data collection, extraction and analyzed the data. Meihua Gai interpreted and reviewed the data and drafts.

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Correspondence to Mei-hua Gai.

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Wu, Xy., Zhu, Z. & Gai, Mh. Prognostic modelling of colorectal cancer based on oxidative stress-related genes. J Cancer Res Clin Oncol 149, 10623–10631 (2023). https://doi.org/10.1007/s00432-023-04914-9

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  • DOI: https://doi.org/10.1007/s00432-023-04914-9

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