The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Unlocking the potential of antibody–drug conjugates for cancer therapy
Open accessAbstract
Nine different antibody–drug conjugates (ADCs) are currently approved as cancer treatments, with dozens more in preclinical and clinical development. The primary goal of ADCs is to improve the therapeutic index of antineoplastic agents by restricting their systemic delivery to cells that express the target antigen of interest. Advances in synthetic biochemistry have ushered in a new generation of ADCs, which promise to improve upon the tissue specificity and cytotoxicity of their predecessors. Many of these drugs have impressive activity against treatment-refractory cancers, although hurdles impeding their broader use remain, including systemic toxicity, inadequate biomarkers for patient selection, acquired resistance and unknown benefit in combination with other cancer therapies. Emerging evidence indicates that the efficacy of a given ADC depends on the intricacies of how the antibody, linker and payload components interact with the tumour and its microenvironment, all of which have important clinical implications. In this Review, we discuss the current state of knowledge regarding the design, mechanism of action and clinical efficacy of ADCs as well as the apparent limitations of this treatment class. We then propose a path forward by highlighting several hypotheses and novel strategies to maximize the potential benefit that ADCs can provide to patients with cancer. Antibody–drug conjugates (ADCs) constitute a unique class of anticancer agents with demonstrated clinical efficacy against several different cancer types. Herein, the authors discuss the design and mechanisms of action of ADCs and how these properties are reflected in the clinical activity and toxicity profiles of such agents. Potential strategies to overcome the limitations of ADCs and thereby maximize their therapeutic benefit for patients with cancer are also proposed. Antibody–drug conjugates (ADCs) comprise three main components: an antibody, a linker and a payload. The clinical properties of ADCs depend on the characteristics of all three of these components. The mechanism of action of ADCs is complex, often requiring drug internalization followed by intracellular processing and payload release. Unlike many standard therapies used in oncology, ADCs must be acted upon by cancer cells for optimal effectiveness. The pharmacodynamic properties of ADCs make them uniquely suited for activity in treatment-refractory cancers, which is reflected in the current clinical indications for ADCs in oncology. ADCs exhibit both on-target and off-target toxicities; while most toxicities seem to be related to the nature of the payload, notable examples of target-dependent toxicities exist. Important and potentially practice-changing innovations in ADC design, biomarker development and combination therapies are ongoing in preclinical and clinical studies. An improved understanding of the interactions between ADCs and tumours is essential for clinicians and scientists to realize the true potential of this drug class for the treatment of cancer. Antibody–drug conjugates (ADCs) comprise three main components: an antibody, a linker and a payload. The clinical properties of ADCs depend on the characteristics of all three of these components. The mechanism of action of ADCs is complex, often requiring drug internalization followed by intracellular processing and payload release. Unlike many standard therapies used in oncology, ADCs must be acted upon by cancer cells for optimal effectiveness. The pharmacodynamic properties of ADCs make them uniquely suited for activity in treatment-refractory cancers, which is reflected in the current clinical indications for ADCs in oncology. ADCs exhibit both on-target and off-target toxicities; while most toxicities seem to be related to the nature of the payload, notable examples of target-dependent toxicities exist. Important and potentially practice-changing innovations in ADC design, biomarker development and combination therapies are ongoing in preclinical and clinical studies. An improved understanding of the interactions between ADCs and tumours is essential for clinicians and scientists to realize the true potential of this drug class for the treatment of cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Trastuzumab emtansine for HER2-positive advanced breast cancer
Verma, S., Miles, D., Gianni, L., Krop, I. E., Welslau, M., Baselga, J., Pegram, M., Oh, D.-Y., Diéras, V., Guardino, E., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1209124 · Cited by 3,834
Targeting multidrug resistance in cancer
Szakács, G., Paterson, J. K., Ludwig, J. A., Booth-Genthe, C., & Gottesman, M. M. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd1984 · Cited by 3,609
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805
A view on drug resistance in cancer
Vasan, N., Baselga, J., & Hyman, D. M. (2019) · Nature · doi:10.1038/s41586-019-1730-1 · Cited by 2,770
Trastuzumab deruxtecan in previously treated HER2-positive breast cancer
Modi, S., Saura, C., Yamashita, T., Park, Y. H., Kim, S.-B., Tamura, K., Andre, F., Iwata, H., Ito, Y., Tsurutani, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1914510 · Cited by 2,006
Self-citationTrastuzumab deruxtecan in previously treated HER2-positive gastric cancer
Shitara, K., Bang, Y.-J., Iwasa, S., Sugimoto, N., Ryu, M.-H., Sakai, D., Chung, H.-C., Kawakami, H., Yabusaki, H., Lee, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2004413 · Cited by 1,333
Sacituzumab govitecan-hziy in refractory metastatic triple-negative breast cancer
Bardia, A., Mayer, I. A., Vahdat, L. T., Tolaney, S. M., Isakoff, S. J., Diamond, J. R., O’Shaughnessy, J., Moroose, R. L., Santin, A. D., Abramson, V. G., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1814213 · Cited by 874
Ogitani, Y., Hagihara, K., Oitate, M., Naito, H., & Agatsuma, T. (2016) · Cancer Science · doi:10.1111/cas.12966 · Cited by 751
Boshuizen, J., Koopman, L. A., Krijgsman, O., Shahrabi, A., van den Heuvel, E. G., Ligtenberg, M. A., Vredevoogd, D. W., Kemper, K., Kuilman, T., Song, J.-Y., et al. (2018) · Nature Medicine · doi:10.1038/nm.4472 · Cited by 229
Cited by
Treatment landscape of triple-negative breast cancer — expanded options, evolving needs
Bianchini, G., De Angelis, C., Licata, L., & Gianni, L. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00565-2 · Cited by 1,382
Targeting drugs to tumours using cell membrane-coated nanoparticles
Fang, R. H., Gao, W., & Zhang, L. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00699-x · Cited by 980
Exploring the next generation of antibody–drug conjugates
Tsuchikama, K., Anami, Y., Ha, S. Y. Y., & Yamazaki, C. M. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00850-2 · Cited by 659
Recent Advances in Tumor Targeting via EPR Effect for Cancer Treatment
Subhan, M. A., Yalamarty, S. S. K., Filipczak, N., Parveen, F., & Torchilin, V. P. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11060571 · Cited by 623
The present and future of bispecific antibodies for cancer therapy
Klein, C., Brinkmann, U., Reichert, J. M., & Kontermann, R. E. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-00896-6 · Cited by 490
Metadata
- Authors
- Drago, J. Z., Modi, S., & Chandarlapaty, S.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2021-02-08
- Volume
- 18
- Issue
- 6
- Pages
- 327-344
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W3128485166
- Cited by
- 1,150
- References
- 9
- FWCI
- 35.95
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Unlocking the potential of antibody–drug conjugates for cancer therapy. https://app.cochat.ai/papers/10.1038/s41571-021-00470-8
- The paper
- Drago, J. Z., Modi, S., & Chandarlapaty, S. (2021). Unlocking the potential of antibody–drug conjugates for cancer therapy. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-021-00470-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.