ReviewMedComm2026
Breast Cancer: Molecular Pathogenesis, Targeted Therapy, Screening, and Prevention.
Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Lenvatinib enhances the response of biliary tract cancer to anti-HER2 therapy.Signal transduction and targeted therapy · 2026Article
- Novel C3/C28-bis-1,2,4-Triazolyl-sulfanylacetate-betulin Derivatives: Synthesis and Evaluation of Anticancer Potential.International journal of molecular sciences · 2026Article
- Identification of a prognostic model using immune related genes combined with tumour mutational burden and T cell infiltration in triple-negative breast cancer.Oncology letters · 2026Article
- Surgical Decision-Making in Breast Cancer: A Retrospective Comparative Study from a Tertiary Center.Journal of clinical medicine · 2026Article
- Upregulation of a CircularInternational journal of molecular sciences · 2026Article
- Identification of Glycoprotein Biomarkers in Breast Cancer by MALDI.Life (Basel, Switzerland) · 2026Review
- Editorial: Molecular pathways and signaling molecules in cancer therapy: advances and innovations.Frontiers in immunology · 2026Article
- Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies.Oncology research · 2026Review
- Lipid Metabolic Reprogramming in Breast Cancer: Mechanisms and Emerging Therapeutic Strategies.Breast cancer (Dove Medical Press) · 2026Review
- Dynamic vitamin D trajectories and their prognostic value in breast cancer: a group-based trajectory modeling study.Frontiers in nutrition · 2026Article
- SIRT7-mediated deacetylation of XRCC6 at lysine 591 drives breast cancer progression.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most common cancer and the leading cause of cancer-related death among women worldwide. Advances in molecular biology, high-throughput sequencing, and integrative-omics have deepened the understanding of its heterogeneity by clarifying mechanisms linked to genetic susceptibility, epigenetic regulation, oncogenic signaling, and immune evasion. Although those developments have driven progress in targeted therapy and screening, concerns on drug resistance, toxicity, global inequities, and suboptimal risk stratification continue to limit outcomes. This review systematically summarizes current advances across four interconnected areas of breast cancer research and management, including molecular pathogenesis, targeted therapy, screening, and prevention. It describes key biological processes that shape tumor heterogeneity and examines targeted therapies, including endocrine agents, HER2-directed drugs, CDK4/6 and PI3K/AKT/mTOR inhibitors, antibody-drug conjugates, and immunotherapies, together with mechanisms of resistance and emerging treatment targets. It also evaluates evolving approaches in risk stratification and screening, highlighting progress in digital breast tomosynthesis, magnetic resonance imaging, contrast-enhanced mammography, and artificial intelligence-assisted interpretation. By integrating cutting-edge molecular insights with clinical advances, this review further highlights the expanding opportunities for personalized therapy and precision prevention. It outlines future directions linking multiomics and artificial intelligence to more equitable and effective breast cancer management.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.