Predictive Biomarkers of Antibody–Drug Conjugate Efficacy for Solid Tumors: Current Challenges and the Potential Role of Quantitative Proteomics

Antibody-drug conjugate (ADC) development is progressing rapidly, with significant impacts on the treatment landscape of clinical oncology. However, the development of predictive biomarkers to guide ADC selection has not kept pace and to date has been mostly limited to immunohistochemistry, hampering patient selection and personalized treatment recommendations. Here, we review the current state of ADC target protein assessment and the association between target expression levels and therapeutic efficacy. We discuss the limitations and challenges of existing protein assessment technology and highlight the potential clinical role of quantitative mass spectrometry-based proteomics for rapid, comprehensive, and accurate protein quantification. We propose that integrating multiplexed proteomic assays early in ADC development and clinical trial design can improve therapeutic targeting, enhance clinical trial design, and ultimately lead to more personalized ADC-based treatment strategies.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2025-12-22
DOI
https://doi.org/10.1158/1078-0432.ccr-25-3103
Citations
1
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Biomarkers of Antibody–Drug Conjugate Efficacy for Solid Tumors: Current Challenges and the Potential Role of Quantitative Proteomics

Rebecca C. Poulos, Adel T. Aref, Nicholas McNamee, Roger R Reddel et al.
1 citations
Clinical Cancer Research
HER2/EGFR in Cancer Research
1.05
article

Predictive Biomarkers of Antibody–Drug Conjugate Efficacy for Solid Tumors: Current Challenges and the Potential Role of Quantitative Proteomics

Rebecca C. Poulos, Adel T. Aref, Nicholas McNamee, Roger R Reddel, Jia Liu
article en
1 citations

Abstract

Antibody-drug conjugate (ADC) development is progressing rapidly, with significant impacts on the treatment landscape of clinical oncology. However, the development of predictive biomarkers to guide ADC selection has not kept pace and to date has been mostly limited to immunohistochemistry, hampering patient selection and personalized treatment recommendations. Here, we review the current state of ADC target protein assessment and the association between target expression levels and therapeutic efficacy. We discuss the limitations and challenges of existing protein assessment technology and highlight the potential clinical role of quantitative mass spectrometry-based proteomics for rapid, comprehensive, and accurate protein quantification. We propose that integrating multiplexed proteomic assays early in ADC development and clinical trial design can improve therapeutic targeting, enhance clinical trial design, and ultimately lead to more personalized ADC-based treatment strategies.

Clinical Cancer ResearchVol. 32(4)
The University of Sydney (AU), New South Wales Department of Health (AU), Garvan Institute of Medical Research (AU), Children's Medical Research Institute (AU), UNSW Sydney (AU), The Kinghorn Cancer Centre (AU)
Good health and well-being
Openalex Percentile: Top 15%
HER2/EGFR in Cancer Research
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predictive Biomarkers of Antibody–Drug Conjugate Efficacy for Solid Tumors: Current Challenges and the Potential Role of Quantitative Proteomics — Rebecca C. Poulos, Adel T. Aref, et al. · Clinical Cancer Research (2025) | TGRS Research Map | TGRS