PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 3, 2026Breast Cancer Research0 citationsOpen Access

Integrated multi-omics analysis and functional validation reveal the role of TRIM2 as a potential novel biomarker in breast cancer

RDRumei DengNanchang UniversityYRYifei RenNanchang UniversityKHKe HuCentral South University

Key Points

  • The aim is to investigate TRIM2's potential as a biomarker and its role in breast cancer progression.
  • Integrated multi-omics datasets from TCGA, GEO, and METABRIC
  • Characterized TRIM2+ tumor cells using single-cell RNA sequencing
  • Conducted ubiquitin-proteomic and proteomic profiling to identify TRIM2 substrates
  • Performed drug sensitivity predictions and molecular docking analyses
  • Validated biological functions through in vitro experiments
  • TRIM2 is downregulated in breast cancer tissues, associated with advanced stage and poor survival.
  • Higher TRIM2 expression correlates with better responses to immunotherapy.
  • Identified 64 TRIM2-sensitive compounds for targeted therapy development.
  • TRIM2 regulates cancer- and immune-related pathways, including TGF-β and Hippo signaling.
  • Functional assays show that TRIM2 suppresses breast cancer cell growth.

Abstract

Breast cancer (BRCA) remains a major global health challenge due to its high recurrence rates and resistance to therapy, underscoring the need for reliable biomarkers and novel therapeutic targets. Tripartite motif-containing protein 2 (TRIM2), an E3 ubiquitin ligase, has been implicated in tumorigenesis across multiple cancers, yet its role in BRCA remains poorly understood. We integrated multi-omics datasets from TCGA, GEO, and METABRIC, and validated TRIM2 expression using proteomic data from the Proteomic Data Commons and Human Protein Atlas. Single-cell RNA sequencing was employed to characterize the transcriptional heterogeneity and cell–cell interaction patterns of TRIM2+ tumor cells. Ubiquitin-proteomic and proteomic profiling were conducted to identify TRIM2-regulated substrates. Drug sensitivity prediction and molecular docking were applied to assess TRIM2-related therapeutic responses, and in vitro experiments were performed to validate its biological functions. We found that TRIM2 is consistently downregulated in BRCA tissues at both transcriptomic and proteomic levels, with low expression significantly associated with advanced stage and poor overall survival. Clinically, elevated TRIM2 expression correlated with improved responsiveness to immunotherapy. Drug sensitivity and molecular docking analyses identified 64 TRIM2-sensitive compounds, including five with strong binding affinities, suggesting potential for targeted therapeutic development. Genomic alterations and promoter hypermethylation were identified as potential mechanisms driving TRIM2 dysregulation. Multi-layered functional enrichment analyses, including transcriptomic, proteinomic, and ubiquitin-proteomic profiling, suggested that TRIM2 regulates cancer- and immune-related pathways including TGF-β, Hippo, TNF, and IL-17 signaling pathways. Single-cell RNA sequencing further demonstrated that TRIM2+ and TRIM2− tumor cell subpopulations engage in distinct cell–cell interactions, highlighting TRIM2’s role in shaping tumor-immune communication. Functional assays confirmed that TRIM2 suppresses BRCA cell proliferation and anchorage-independent growth in vitro. Immune profiling revealed that high TRIM2 expression is associated with enhanced immune checkpoint activity, greater infiltration of antitumor immune cells, and increased immune recruitment scores. Collectively, our findings identify TRIM2 as a potential tumor suppressor and novel prognostic biomarker in BRCA, with potential utility for guiding personalized immunotherapy and targeted treatment strategies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Deng et al. (2026) studied this question.

synapsesocial.com/papers/69cf58fd5a333a8214609cb3https://doi.org/10.1186/s13058-026-02263-2
Ask AI
Helpful
Bookmark
Share
View Full Paper