ArticleNPJ breast cancer2025
MammOnc-DB, an integrative breast cancer data analysis platform for target discovery.
Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Integrated molecular and immune profiling identifies FOXA1 as a complementary co-target to MUC1 for bispecific immunotherapy in breast cancer.Functional & integrative genomics · 2026Article
- Identification of STK35L1 as a potential prognostic biomarker in breast carcinoma, and its expression exhibits high correlation with EGFR activity.Functional & integrative genomics · 2026Article
- SOX9 and SEMA7A regulate cell plasticity in the postpartum mammary gland with implications for breast cancer.bioRxiv : the preprint server for biology · 2026Article
- Methylglyoxal-derived glycated albumin enhances the stemness potential of invasive ductal carcinoma-derived breast cancer stem-like cell line KAIMRC1.Oncology letters · 2026Article
- Glucocorticoid-Induced Proteome and Phosphoproteome Changes in Breast Cancer Cell Lines.Journal of proteome research · 2026Article
- Mitochondrial uncoupling inhibits serine catabolismCancer biology & medicine · 2026Article
- Sanguinarine and Doxorubicin Inhibit Heat Shock Protein HSPA5 and Trigger ER Stress in Breast Cancer.Cell biochemistry and biophysics · 2026Article
- CTPS1 is an unexplored vulnerability in breast and ovarian cancer.Theranostics · 2026Article
- Semaphorin-7A promotes macrophage-mediated mammary epithelial and ductal carcinoma in situ invasion.Breast cancer research : BCR · 2025Article
- Expression and Clinical Significance ofInternational journal of molecular sciences · 2025Article
- Multi-omics strategies for biomarker discovery and application in personalized oncology.Molecular biomedicine · 2025Review
- ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling.Molecular oncology · 2025Article
- Variable roles of miRNA- and apoptosis-linked genes in invasive breast cancer: expression patterns, clinicopathological associations, and prognostic significance.Molecular biology reports · 2025Article
- Article
- BCMA: An integrative and versatile database for multi-scale and multi-omics molecular atlas of breast cancer.Computational and structural biotechnology journal · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Breast cancer (BCa), a leading malignancy among women, is characterized by morphological and molecular heterogeneity. While early-stage, hormone receptor, and HER2-positive BCa are treatable, triple-negative BCa and metastatic BCa remains largely untreatable. Advances in sequencing and proteomic technologies have improved our understanding of the molecular alterations that occur during BCa initiation and progression and enabled identification of subclass-specific biomarkers and therapeutic targets. Despite the availability of abundant omics data in public repositories, user-friendly tools for multi-omics data analysis and integration are scarce. To address this, we developed a comprehensive BCa data analysis platform called MammOnc-DB ( http://resource.path.uab.edu/MammOnc-Home.html ), comprising data from more than 20,000 BCa samples. MammOnc-DB facilitates hypothesis generation and testing, biomarker discovery, and therapeutic targets identification. The platform also includes pre- and post-treatment data, which can help users identify treatment resistance markers and support combination therapy strategies, offering researchers and clinicians a comprehensive tool for BCa data analysis and visualization.
Identifiers
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Registered trials
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.