Evidence map›Paper›PMID 41471096›Full record

ReviewPharmaceutics2025

Strategic Combinations of Antibody-Drug Conjugates from 2023 to 2025: From Dual Therapies to Innovative ADC-Based Regimens.

Heewon Jang, Ji-Eun Chang

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Redefining breast cancer: therapeutic opportunities in HER2-low and emerging molecular subtypes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Heewon JangCollege of Pharmacy, Dongduk Women's University, Seoul 02748, Republic of Korea.
Ji-Eun ChangCollege of Pharmacy, Dongduk Women's University, Seoul 02748, Republic of Korea.ORCID 0000-0002-0037-1560

Funding

Ministry of Trade, Industry & Resources RS-2025-13642970
6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) are a potent class of targeted cancer therapies that combine the specificity of monoclonal antibodies with the cytotoxic potency of chemotherapeutic agents. By targeting tumor cells with minimal impact on healthy tissues, ADCs achieve a favorable balance between efficacy and systemic toxicity. This therapeutic modality has demonstrated significant clinical success, as evidenced by the FDA approval of 15 ADCs by 2025, with one later withdrawn due to safety concerns, and indications continuing to expand across various cancer types. Beyond monotherapy, there is growing interest in ADC-based combination strategies aimed at enhancing therapeutic outcomes and managing resistance. Several combinations, especially with chemotherapy, immune checkpoint inhibitors, or molecularly targeted agents, have gained regulatory approval or advanced to late-stage clinical trials. While dual-agent regimens have historically dominated the research landscape, multiplet combinations are also gaining traction and represent a promising frontier in oncology. This evolving paradigm highlights the need for a comprehensive understanding of current ADC combination approaches. In this review, we examine recent clinical advances in ADC-based combinations, with a particular focus on regimens that incorporate FDA-approved ADCs. We also discuss the progression from dual-agent approaches to more complex multiplet strategies across a range of tumor types.

Indexed as

antibody–drug conjugatescancer treatmentcombination therapymultiplet regimenstherapeutic optimization

Identifiers

PMID41471096
PMCPMC12737156

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.