Evidence map›Paper›PMID 41461391›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Downregulation of TNFAIP3 Associated With Poor Prognosis and Immune Response in Breast Cancer.

Yeqin Wu, Zhaoyang Qin, Gangping Wang

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Yeqin WuDepartment of Pathology, The Fourth Affiliated Hospital of School of Medicine, & International School of Medicine, International Institutes of Medicine, Zhejiang University, Zhejiang, China.
Zhaoyang QinDepartment of General Surgery, The Rizhao People's Hospital, Rizhao, China.
Gangping WangDepartment of Pathology, The Fourth Affiliated Hospital of School of Medicine, & International School of Medicine, International Institutes of Medicine, Zhejiang University, Zhejiang, China.

Funding

Natural Science Foundation of Shandong Province ZR2020MH319
6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) progression is closely linked to dysregulated inflammatory processes within the tumor microenvironment (TME). TNFAIP3, a key regulator of TNF-α signaling, plays a dual role in cancer biology, but its precise function in BRCA pathogenesis and immune modulation remains unclear.

aimsThis study aimed to elucidate the clinical significance, immune regulatory role, and molecular mechanisms of TNFAIP3 in BRCA progression. METHODS AND

resultsWe conducted an analysis of RNA-seq data from 1113 BRCA samples and 113 normal samples sourced from TCGA, along with protein data from 125 BRCA samples and 18 normal samples obtained from the CPTAC database. Comprehensive analyses included: (1) differential expression across cancer types and BRCA subtypes; (2) correlation with clinicopathological features; (3) survival analysis using Kaplan-Meier and Cox regression; (4) immune cell infiltration assessment via ssGSEA; and (5) co-expression analysis of TNFAIP3-LINC01096. TNFAIP3 was significantly downregulated in BRCA (p < 0.001) and associated with aggressive features, including advanced TNM stage (T4 vs. T1, p = 0.021) and poor prognosis (HR = 1.48, p = 0.035). Immune profiling revealed strong correlations with cytotoxic T cells (ρ = 0.632) and dendritic cells (ρ = 0.602). A novel TNFAIP3-LINC01096 regulatory network was identified (ρ = 0.582, p < 0.001), potentially mediated by shared miR-3130-3p binding sites.

conclusionOur findings suggest a role of TNFAIP3 as a critical regulator of BRCA progression and tumor immunity. The TNFAIP3-LINC01096 axis represents a promising therapeutic target, particularly for immunotherapy-resistant cases. These results provide a rationale for developing TNFAIP3-based prognostic tools and immunomodulatory strategies in BRCA management.

Indexed as

Biomarkers, TumorBreast NeoplasmsTumor Necrosis Factor alpha-Induced Protein 3Down-RegulationFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedPrognosisTumor MicroenvironmentBiomarkers, TumorTNFAIP3 protein, humanTumor Necrosis Factor alpha-Induced Protein 3breast cancer (BRCA)immune infiltrationLINC01096prognostic biomarkerTNFAIP3tumor microenvironment

Identifiers

PMID41461391
PMCPMC12747788

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LicenceCC BY
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Registered trials

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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.