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The construction of a breast cancer prognostic model by combining genes related to hypoxia and endoplasmic reticulum stress.

Computer methods in biomechanics and biomedical engineering - 1 May 2026

Liu Guohua, Shi Yuan, Wang Jing, Gao Haitao, Liu Jiacai, Wang Huihua, Wang Tiantian, Wei Ya

Abstract excerpt

Breast cancer (BC) is a malignant tumor that occurs in breast tissue. This project aims to predict the prognosis of BC patients using genes related to hypoxia and endoplasmic reticulum stress (ERS). RNA-seq and clinical data for BC were downloaded from TCGA and GEO databases. Hypoxia and ERS-related genes were collected from the Genecards database. Univariate/multivariate Cox regression and Lasso regression...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 39868728
DOI: 10.1080/10255842.2025.2453941

Genes

IVL
PTGS2
TP53

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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