Evidence map›Paper›PMID 41182569›Full record

ArticleBreast cancer (Tokyo, Japan)2026

Exploring the prognostic value and biomarker of TEX11 in breast cancer via PANoptosis.

Jiachen Liu, Wenzhe Ma, Haiyan Zhang, Meina Shi, Wanjun Lin, Zifeng Huang, Yanchao Yang

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Article in Breast cancer (Tokyo, Japan), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Jiachen LiuState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Wenzhe MaState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China. wzma@must.edu.com.
Haiyan ZhangDepartment of Pathology, Linyi People's Hospital, Linyi, 276000, Shandong, China.
Meina ShiState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Wanjun LinState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Zifeng HuangState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Yanchao YangState Key Laboratory of Quality Research in Chinese Medicine and Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.

Funding

This work was funded by the Science and Technology Development Fund, Macau SAR 006/2023/SKLThis work was funded by the Science and Technology Development Fund, Macau SAR 0105/2022/A2
6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) is substantial risk to human health and life. Studies have shown that PANoptosis and explores relationship between PANoptosis and BRCA patient's prognosis.

methodsThe TCGA-BRCA cohort and GSE7390 dataset were analyzed to investigate 19 PANoptosis-related genes (PRGs). Differentially expressed genes (DEGs 1) between BRCA and normal samples were identified, and Weighted Gene Co-expression Network Analysis (WGCNA) was applied to select genes most correlated with the PANoptosis score. Key module genes were intersected with DEGs 1, and candidate genes were determined using Kaplan-Meier analysis, stratifying BRCA samples into high- and low-expression groups. TEX11-related DEGs were further explored. Prognostic candidate genes were screened via univariate Cox and LASSO regression, and final independent prognostic factors were confirmed through univariate and multivariate Cox analyses.

resultsThe 578 intersection genes were acquired via taking intersection of 5,044 DEGs 1 and 1,947 key module genes. TEX11 was subsequently selected for further analysis among these. TEX11 expression levels classify BRCA patients into a high and low group. According to GSEA, regulation of T cell-mediated cytotoxicity was concentrated in the TEX11 high group. 14 differential immune cells were identified, and TEX11 was positively relevant to M1 Macrophages. Next, nine immune checkpoints and TIDE scores in high-expression group showed an upward trend. Moreover, 18 drugs were significant differences between two expression groups, such as Gemcitabine. Finally, 5 biomarkers and 3 independent prognostic factors were identified.

conclusionThis study established TEX11 as important gene related to prognosis of BRCA, identified five related BRCA biomarkers, highlighted three independent prognostic factors.

Indexed as

Biomarkers, TumorBreast NeoplasmsDeoxycytidineFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorDeoxycytidineBreast cancerImmunePANoptosisPrognostic signatureTEX11

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.