Evidence map›Paper›PMID 42213680›Full record

ArticlePloS one2026

Comprehensive multi-omics analysis reveals prognostic, immune, and therapeutic signatures of TNFAIP family genes in breast cancer.

Tahereh Barati, Madiheh Mazaheri Moghaddam, Fatemeh Mokhles, Zohreh Mirzaei, Amir Ebrahimi, Golsa Nayeb Ghanbar Hosseini, Najaf Allahyari Fard

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Article in PloS one, 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.

Tahereh BaratiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Madiheh Mazaheri MoghaddamDepartment of Genetics and Molecular Medicine, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Fatemeh MokhlesDepartment of Molecular Medicine, Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.ORCID https://orcid.org/0009-0006-0370-1533
Zohreh MirzaeiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Amir EbrahimiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Golsa Nayeb Ghanbar HosseiniInstitute of Biology, Leiden University, Leiden, Netherland.ORCID https://orcid.org/0009-0008-9746-0770
Najaf Allahyari FardSystems Biotechnology Department, National Institute for Genetic Engineering and Biotechnology, Tehran, Iran.ORCID https://orcid.org/0000-0001-7590-5179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor necrosis factor-alpha-induced proteins (TNFAIPs) are key regulators of inflammation, apoptosis, and immune signaling, yet their integrated roles in breast cancer (BC) remain poorly characterized. While individual TNFAIP members have been studied in other cancers, a comprehensive multi-omics characterization of this gene family in BC is still needed.

methodsWe performed an integrative bioinformatics analysis using public datasets (UALCAN, TIMER, bc-GenExMiner, cBioPortal, STRING, GeneMANIA, Enrichr, MethSurv, GDSC, CTRP, and HPA) to evaluate TNFAIP family members in BC. Expression, genomic alterations, methylation patterns, immune infiltration, and drug sensitivity were analyzed across clinical and molecular subtypes. Where applicable, multiple hypothesis testing was controlled using the Benjamini-Hochberg false discovery rate (FDR) method.

resultsAmong TNFAIPs, TNFAIP6 and EFNA1 were significantly upregulated in BC, while TNFAIP1, TNFAIP2, TNFAIP3, PTX3, TNFAIP8, and STEAP4 were downregulated. Elevated TNFAIP2, TNFAIP3, and TNFAIP8 expression correlated with improved overall survival (OS). Multi-database integration revealed that TNFAIP3 expression was strongly correlated with infiltration of CD4 ⁺ T cells, dendritic cells, and neutrophils. Functional enrichment highlighted the NF-κB, PI3K-Akt, and TNF signaling pathways as key regulatory axes. Drug-sensitivity analyses indicated subtype-dependent responses linked to TNFAIP dysregulation.

conclusionThis study provides a comprehensive multi-omics characterization of TNFAIP family genes in BC, addressing the role of inflammatory signaling in tumor progression and identifying potential biomarkers and therapeutic targets. These findings enhance the understanding of TNFAIP-mediated molecular networks and offer a resource for translational and experimental research in BC.

Indexed as

Breast NeoplasmsBiomarkers, TumorComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisSignal TransductionBiomarkers, Tumor

Identifiers

PMID42213680
PMCPMC13221070

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