Evidence map›Paper›PMID 41185045›Full record

ReviewJournal of hematology & oncology2025

Overcoming resistance to antibody-drug conjugates: from mechanistic insights to cutting-edge strategies.

Kexun Zhou, Xinrui Liu, Hong Zhu

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  9. Ultrasound-activated RuORSC advances · 2026
    Article
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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

3 authors.

Kexun Zhou *Division of Abdominal Cancer, Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Xinrui Liu *Queen Mary College of Nanchang University, Xuefu Road, Nanchang, 330006, Jiangxi Province, China.
Hong ZhuDivision of Abdominal Cancer, Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China. zhuhong938@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) have revolutionized cancer therapy, but therapeutic resistance poses a significant barrier to sustained efficacy. Multiple mechanisms contribute to ADCs resistance, including drug efflux mediated by transporters, alterations in target antigens, tumor heterogeneity, and the impact of the tumor microenvironment (TME). Clinically, ADCs resistance varies across different cancer types, treatment lines, and patient subgroups. Emerging strategies now emphasize precision targeting through bispecific ADCs, alongside advancements in linker chemistry, payload design, and TME modulation. Additionally, rational combination therapies have emerged as a promising approach to reverse ADCs resistance, demonstrating synergistic effects. This review summarizes current understanding of mechanisms driving ADCs resistance and recent advances in combination therapies. By integrating mechanistic insights with emerging strategies, we aim to provide a comprehensive framework for addressing ADCs resistance and propose future research directions. These efforts may improve the efficacy of ADCs and the outcomes of cancer patients.

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmImmunoconjugatesNeoplasmsAnimalsHumansTumor MicroenvironmentAntineoplastic AgentsImmunoconjugatesAntibody-Drug conjugatesCancerClinical manifestationsInnovative strategiesResistance mechanismTumor microenvironment

Identifiers

PMID41185045
PMCPMC12581271

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.