ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024
Integrative Multiomic Profiling of Triple-Negative Breast Cancer for Identifying Suitable Therapies.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Multi-omics analysis reveals comprehensive aberrant protein and phosphorylation characteristics in breast cancer and paired metastatic lymph nodes.Protein & cell · 2026Article
- Review
- CD36 enhances sensitivity of triple negative breast cancer cells to palmitate-induced ferroptosis.Cell death & disease · 2026Article
- Phase-Change Assembling Nanostructures Synergistically Potentiate Tumor Radiosensitivity by Reducing the Stemness of Cancer Stem-Like Cells.Exploration (Beijing, China) · 2026Article
- Post-translational modifications in retinoblastoma: mechanisms, immune regulation, and therapeutic opportunities.Frontiers in immunology · 2026Review
- AI-driven multi-omics biomarkers in precision breast cancer therapeutics: from discovery to clinical translation.Frontiers in pharmacology · 2026Review
- Review
- Differences in survival outcomes between HER2-low and HER2-zero breast cancer across heterogeneous HR expression patterns: a real-world study.World journal of surgical oncology · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
purposeTriple-negative breast cancer (TNBC) is a heterogeneous disease that carries the poorest prognosis of all breast cancers. Although novel TNBC therapies in development are frequently targeted toward tumors carrying a specific genomic, transcriptomic, or protein biomarker, it is poorly understood how these biomarkers are correlated. EXPERIMENTAL
designTo better understand the molecular features of TNBC and their correlation with one another, we performed multimodal profiling on a cohort of 95 TNBC. Our approach involved quantifying tumor-infiltrating lymphocytes through hematoxylin and eosin staining, assessing the abundance of retinoblastoma, androgen receptor, and PDL1 proteins through IHC, and carrying out transcriptomic profiling using the NanoString BC360 platform, targeted DNA sequencing on a subset of cases, as well as evaluating associations with overall survival.
resultsLevels of RB1 mRNA and RB proteins are better correlated with markers of retinoblastoma functionality than RB1 mutational status. Luminal androgen receptor tumors clustered into two groups with transcriptomes that cluster with either basal or mesenchymal tumors. Tumors classified as PDL1-positive by the presence of immune or tumor cells showed similar biological characteristics. HER2-low TNBC showed no distinct biological phenotype when compared with HER2-zero. The majority of TNBC were classified as basal or HER2-enriched by PAM50, the latter showing significantly improved overall survival.
conclusionsOur study contributes new insights into biomarker utility for identifying suitable TNBC therapies and the intercorrelations between genomic, transcriptomic, protein, and cellular biomarkers. Additionally, our rich data resource can be used by other researchers to explore the interplay between DNA, RNA, and protein biomarkers in TNBC.
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