ReviewMedComm2026
Targeted Therapies for Each Subtype of Breast Cancer.
Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Advancing In Vivo Chimeric Antigen Receptor T-Cell Engineering to Accelerate Clinical Translation.MedComm · 2026Review
- Exceptional response to alpelisib in a heavily pretreated patient with metastatic breast cancer carrying a PIK3CA mutation outside SOLAR-1 eligible mutations: a case report.Acta oncologica (Stockholm, Sweden) · 2026Article
- Breast Cancer: Epidemiology, Molecular Classification, Diagnostics and Evolving Treatment Paradigms.Molecules (Basel, Switzerland) · 2026Review
- Overcoming Resistance in Triple-Negative Breast Cancer: A Translational Perspective on Next-Generation DNA Damage Response Inhibitors and Synthetic Lethality.Molecules (Basel, Switzerland) · 2026Review
- Article
- JQ1 Downregulates IL-20RA Expression in Triple Negative Breast Cancer Cells In Vitro and In Vivo.International journal of molecular sciences · 2026Article
- Targeted Therapies for Each Subtype of Breast Cancer.MedComm · 2026Review
- RNA-binding protein RBM47 in health and disease: molecular mechanisms, preclinical evidence, and translational challenges.Frontiers in immunology · 2026Review
- Sarcopenia in breast cancer: prognostic values and emerging therapeutic strategies.Frontiers in surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is a clinically heterogeneous malignancy and a leading cause of cancer-related mortality in women worldwide. It is classified into hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-positive, and triple-negative (TNBC) subtypes based on molecular biomarkers. This heterogeneity drives distinct disease progression and treatment responses, making subtype-specific precision therapy indispensable for improving patient outcomes. While estrogen receptor (ER)-targeting agents and anti-HER2 therapies have achieved notable successes, critical challenges remain, including drug resistance, inadequate biomarkers, and limited therapeutic targets for TNBC. This review comprehensively summarizes recent advances in targeted therapies for major BC subtypes: endocrine therapy combined with cyclin-dependent kinase 4/6 (CDK4/6) or phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) inhibitors for HR-positive BC; novel antibody‒drug conjugates (ADCs) such as trastuzumab deruxtecan (T-DXd) and tyrosine kinase inhibitors (TKIs) for HER2-positive BC; and trophoblast cell-surface antigen 2 (Trop-2) ADCs, immunotherapies, and poly-ADP-ribose polymerase (PARP) inhibitors for TNBC. It also discusses cross-subtype therapeutic platforms (ADCs, PI3K/AKT/mTOR pathway) and emerging modalities (chimeric antigen receptor [CAR] T-cell therapy, proteolysis-targeting chimeras [PROTACs]). By analyzing successes, challenges, and translational potential, this review provides a clear framework for clinicians and researchers, advancing personalized treatment optimization and addressing unmet clinical needs in BC precision oncology.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.