ReviewBreast cancer : basic and clinical research2024
Standard-of-Care Treatment for HER2+ Metastatic Breast Cancer and Emerging Therapeutic Options.
Review in Breast cancer : basic and clinical research, 2024. 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
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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.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Real-world use of neratinib as extended adjuvant therapy in HER2-positive early-stage breast cancer: a multicentre study in mainland China and Hong Kong.Breast (Edinburgh, Scotland) · 2026Article
- Molecular imaging of tucatinib-induced cellular and TME changes in preclinical models of HER2 + breast cancer.Breast cancer research and treatment · 2026Article
- Cyclin-Dependent 4/6 Kinase Inhibitors for Treatment of HER2-Positive Breast Cancer: 2026 Update.Cancers · 2026Review
- Development of Novel Neratinib and Docetaxel Core-Loaded and Trastuzumab Surface-Conjugated Nanoparticle for Treatment of HER-2 Positive Breast Cancer.Pharmaceutics · 2025Article
- Exploring Zanidatamab's efficacy across HER2-positive Malignancies: a narrative review.BMC cancer · 2025Review
- Forecasting cancer incidence and prevalence using age-period-cohort and survivorship models: a practical, flexible, and interpretable framework.Frontiers in oncology · 2025Article
- Article
- Updates in Treatment of HER2-positive Metastatic Breast Cancer.Current treatment options in oncology · 2024Review
- Unlocking the epigenetic code: new insights into triple-negative breast cancer.Frontiers in oncology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prior to the advent of the HER2-targeted monoclonal antibody trastuzumab, HER2+ breast cancer (BC) was considered an aggressive disease with a poor prognosis. Over the past 25 years, innovations in molecular biology, pathology, and early therapeutics have transformed the treatment landscape. With the advent of multiple HER2-directed therapies, there have been immense improvements in oncological outcomes in both adjuvant and metastatic settings. Currently, 8 HER2-targeted therapies are approved by the Food and Drug Administration (FDA) for the treatment of early-stage and/or advanced/metastatic disease. Nonetheless, approximately 25% of patients develop recurrent disease or metastasis after HER2-targeted therapy and most patients with HER2+ metastatic breast cancer (MBC) die from their disease. Given the many mechanisms of resistance to HER2-directed therapy, there is a pressing need to further personalize care for patients with HER2+ MBC, by the identification of reliable predictive biomarkers, and the development of novel therapies and combination regimens to overcome therapeutic resistance. Of particular interest are established and novel antibody-drug conjugates, as well as other novel therapeutics and multifaceted approaches to harness the immune system (checkpoint inhibitors, bispecific antibodies, and vaccine therapy). Herein, we discuss standard-of-care treatment of HER2+ MBC, including the management of breast cancer brain metastases (BCBM). Furthermore, we highlight novel treatment approaches for HER2+ MBC, including endeavors to personalize therapy, and discuss ongoing controversies and challenges.
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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.