ReviewDiscover oncology2026
Clinical advances and challenges of antibody-mediated targeted drug delivery in breast cancer therapeutics.
Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Hereditary breast cancer: emerging roles of non-coding RNAs.Hereditas · 2026Review
- Article
- Advances in Drug Delivery Systems for Breast Cancer: From Microenvironment Barriers and Smart Carriers to Clinical Translation Strategies.Drug design, development and therapy · 2026Review
- Spiegelmer Aptamers: Innovative Approach in Breast Cancer.Breast cancer : basic and clinical research · 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
1 author.
Funding
Abstract
Breast cancer (BC) continues to present a universal health burden, and thus there is a need to develop antigen-targeted therapies with lower off-target toxicity and a greater therapeutic index. The antibody-mediated targeted drug delivery systems are especially antibody–drug conjugates (ADCs) and antibody-conjugated nanoparticles (ACNPs) have become the game changers in the age of precision oncology. By taking advantage of the selectivity of monoclonal antibodies, these platforms preferentially target tumor-associated antigens (TAAs) including HER2, TROP-2, HER3 and LIV-1, which avoids off-target toxicity and overcomes drug resistance. This review presents a detailed discussion of the principles of design, mechanisms and clinical advancements of ADCs and ACNPs in the treatment of BC. Major advances are in the field of advanced linker technology, site selective conjugation techniques, and novel payloads that have potent antitumor effects. A number of new-generation ADCs have demonstrated promising clinical results, especially in HER2-positive and triple-negative forms of the BC. Moreover, nanocarrier-based drug delivery systems like trastuzumab-functionalized liposomes or polymeric nanoparticles are more advantageous in drug loading and release, as well as tumor penetration. In spite of this progress there are still several challenges including heterogeneity of tumor antigens, immunogenicity and off-target toxicity which hinder clinical translation. Bispecific antibodies, dual-payload ADCs, and patient-specific antigen profiling are some of the strategies under research to improve the precision of therapeutic treatment. With the application of molecular targeting and drug delivery innovation, the biology of antibody-mediated systems has enormous potential to transform the standard of treatment of BC and pave the way to customised medicine. Antigen selection, rational linker-payload design, and biomarker-directed patient stratification. In BC, ADC-led antibody-mediated delivery is setting therapeutic delivery action, and after all, toxicity management and mitigation of resistance are core clinical factors in success.
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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.