Evidence map›Paper›PMID 42855492›Full record

ReviewNature reviews. Clinical oncology2026

A modular framework for antibody-drug conjugate biomarkers.

Jia Liu, Dan-Yun Ruan, Nicholas McNamee, Roger R Reddel, Hao-Xiang Wu, Qi Meng, Rui-Hua Xu, Vivek Subbiah, David L Rimm, Barbara Pistilli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jia LiuThe Kinghorn Cancer Centre, St Vincent's Hospital, Sydney, New South Wales, Australia. jia.liu@svha.org.au.ORCID http://orcid.org/0000-0003-4442-6516
Dan-Yun RuanDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China.
Nicholas McNameeProCan®, Children's Medical Research Institute, Faculty of Medicine & Health, University of Sydney, Westmead, New South Wales, Australia.
Roger R ReddelProCan®, Children's Medical Research Institute, Faculty of Medicine & Health, University of Sydney, Westmead, New South Wales, Australia.ORCID http://orcid.org/0000-0002-6302-6107
Hao-Xiang WuDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China.
Qi MengDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China.
Rui-Hua XuResearch Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China.ORCID http://orcid.org/0000-0001-9771-8534
Vivek SubbiahStanford Cancer Institute, Stanford, CA, USA.
David L RimmDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5820-4397
Barbara PistilliDepartment of Medical Oncology, Gustave Roussy, Villejuif, France.ORCID http://orcid.org/0000-0002-9184-7199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of approved antibody-drug conjugates (ADCs) has rapidly expanded across oncology indications, yet biomarker development remains dominated by semi-quantitative immunohistochemistry. Robust biomarkers are needed to improve patient selection, guide therapeutic sequencing and identify resistance mechanisms that inform rational combinations. ADC activity depends on target antigen expression, linker chemistry and payload characteristics all within the context of the tumour microenvironment. Consequently, treatment response cannot be predicted solely by target expression. A more comprehensive biomarker framework is required that accounts for antigen abundance and accessibility, intracellular trafficking and linker cleavage, and tumour susceptibility to the payload. Furthermore, biomarkers of toxicity have been largely overlooked, even though toxicity can be equally determinant of clinical utility. In this Review, we outline a modular framework for ADC biomarker development organized around these components. We distinguish established evidence from emerging strategies and discuss technologies that could enable assessment of these determinants. We consider how modular biomarkers might inform patient selection, therapeutic sequencing, rational combinations, dose optimization and regulatory strategy while highlighting the various challenges that must be addressed before broad clinical adoption. Harmonized development across trials, tumour types and geographical regions will be essential to move biomarker development beyond empirical target-expression thresholds.

Identifiers

PMID42855492

What Socratic holds

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Registered trials

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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.