Transcriptome-wide profiling of antibody–drug conjugate (ADC) targets across solid tumors with IHC validation in a sub-cohort.

e15177 Background: The expanding use of ADCs and other expression-driven therapies requires biomarker assessment beyond DNA alterations. Transcriptome-wide RNA expression profiling enables quantitative, multi-target assessment, with immunohistochemistry validation supporting clinical use. Methods: Transcriptome-wide RNA profiling was performed on 1903 FFPE tumor samples using a 20,802-gene panel (Exacta). Elevated RNA expression (log₂ fold-change > 2) was assessed for established and emerging ADC targets, including cell-surface antigens ( CLDN18, TROP2 , Nectin-4), receptor tyrosine kinases ( ERBB2, ERBB3, EGFR, MET ), and lineage-associated markers ( DLL3 matched CLDN18 .2 IHC was available in a sub-cohort (N = 68) and served as the reference standard for RNA diagnostic performance. Results: Expression patterns demonstrated both pan-tumor distribution and expected organ-specific enrichment, with CLDN18 enriched in gastroesophageal, gastric, pancreatic, and esophageal cancers; ERBB2 in breast and upper gastrointestinal tumors; and MET in lung and gastric cancers. Several targets, including TROP2 and ERBB3 , showed broad cross-tumor expression, supporting tumor-agnostic ADC strategies. Co-expression of multiple actionable targets was frequently observed. Overall, at least one ADC-relevant target was identified in 60.5% (1151/1903) of tumors, while 23.4% (446/1903) harbored ≥2 potential ADC targets. In the CLDN18 .2 IHC sub-cohort (N = 68), 25% of cases were IHC positive. Using IHC as the reference, RNA expression demonstrated strong concordance, with sensitivity 88.2%, specificity 94.1%, PPV 83.3%, NPV 96.0%, and overall accuracy 92.6%. Conclusions: Transcriptome-wide RNA expression profiling complements DNA-based comprehensive genomic profiling by enabling expression-driven ADC biomarker assessment. Concordance with CLDN18 .2 IHC supports analytical validity, while limited tumor-specific cohorts and single-marker IHC highlight the need for broader multi-marker validation studies. Prevalence of ADC-relevant therapeutic targets identified by transcriptome-wide RNA expression profiling. ADC Target Overall Incidence (%, N=1903) Organ-Specific Incidence (%; n/N) CLDN18 9.3 Gastroesophageal 45.5% (56/123),Gastric 52.9% (36/68),Esophageal 22% (9/41),Pancreatic 38.4% (33/86) MET 10.8 Lung 30.6% (30/98),Gastric 25% (17/68) ERBB2 22.1 Breast 15.3% (55/360),Gastric 27.9% (19/68),Gastroesophageal 26.8% (33/123) DLL3 10.4 Neuroendocrine 42.3% (11/26) TROP2 17.9 Prostate 57% (20/35),Urothelial 50% (7/14),Ovary 34.1% (71/208),Lung 10.2% (10/98),Pancreatic 4.7% (4/86),Breast TNBC 2.7% (3/112) Nectin-4 8.1 Urothelial 14.3% (2/14),Breast 13.9% (50/360),Lung 9.2% (9/98) ERBB3 12.7 Lung 27.6% (27/98) EGFR 5.6 Lung 8.2% (8/98)

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e15177
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptome-wide profiling of antibody–drug conjugate (ADC) targets across solid tumors with IHC validation in a sub-cohort.

Debapriya Mondal, Humaid Obaid Al-Shamsi, Rajan Datar, Amarendra Amar et al.
Journal of Clinical Oncology
HER2/EGFR in Cancer Research
article

Transcriptome-wide profiling of antibody–drug conjugate (ADC) targets across solid tumors with IHC validation in a sub-cohort.

Debapriya Mondal, Humaid Obaid Al-Shamsi, Rajan Datar, Amarendra Amar, Jasmine Porwal, Andrew M. Gaya, Niranjan Vijayaraghavan, Revati Patil, Dörthe Schaffrin-Nabe, Krupa Shankar, MV Chandrakanth, Vashista Maniar, Pritam Kataria, Vijay Anand Reddy, Darshit Kalpeshkumar Shah, Sewanti Atul Limaye, Dionysis Papadatos-Pastos, Darshana Suresh Patil
article en

Abstract

e15177 Background: The expanding use of ADCs and other expression-driven therapies requires biomarker assessment beyond DNA alterations. Transcriptome-wide RNA expression profiling enables quantitative, multi-target assessment, with immunohistochemistry validation supporting clinical use. Methods: Transcriptome-wide RNA profiling was performed on 1903 FFPE tumor samples using a 20,802-gene panel (Exacta). Elevated RNA expression (log₂ fold-change > 2) was assessed for established and emerging ADC targets, including cell-surface antigens ( CLDN18, TROP2 , Nectin-4), receptor tyrosine kinases ( ERBB2, ERBB3, EGFR, MET ), and lineage-associated markers ( DLL3 matched CLDN18 .2 IHC was available in a sub-cohort (N = 68) and served as the reference standard for RNA diagnostic performance. Results: Expression patterns demonstrated both pan-tumor distribution and expected organ-specific enrichment, with CLDN18 enriched in gastroesophageal, gastric, pancreatic, and esophageal cancers; ERBB2 in breast and upper gastrointestinal tumors; and MET in lung and gastric cancers. Several targets, including TROP2 and ERBB3 , showed broad cross-tumor expression, supporting tumor-agnostic ADC strategies. Co-expression of multiple actionable targets was frequently observed. Overall, at least one ADC-relevant target was identified in 60.5% (1151/1903) of tumors, while 23.4% (446/1903) harbored ≥2 potential ADC targets. In the CLDN18 .2 IHC sub-cohort (N = 68), 25% of cases were IHC positive. Using IHC as the reference, RNA expression demonstrated strong concordance, with sensitivity 88.2%, specificity 94.1%, PPV 83.3%, NPV 96.0%, and overall accuracy 92.6%. Conclusions: Transcriptome-wide RNA expression profiling complements DNA-based comprehensive genomic profiling by enabling expression-driven ADC biomarker assessment. Concordance with CLDN18 .2 IHC supports analytical validity, while limited tumor-specific cohorts and single-marker IHC highlight the need for broader multi-marker validation studies. Prevalence of ADC-relevant therapeutic targets identified by transcriptome-wide RNA expression profiling. ADC Target Overall Incidence (%, N=1903) Organ-Specific Incidence (%; n/N) CLDN18 9.3 Gastroesophageal 45.5% (56/123),Gastric 52.9% (36/68),Esophageal 22% (9/41),Pancreatic 38.4% (33/86) MET 10.8 Lung 30.6% (30/98),Gastric 25% (17/68) ERBB2 22.1 Breast 15.3% (55/360),Gastric 27.9% (19/68),Gastroesophageal 26.8% (33/123) DLL3 10.4 Neuroendocrine 42.3% (11/26) TROP2 17.9 Prostate 57% (20/35),Urothelial 50% (7/14),Ovary 34.1% (71/208),Lung 10.2% (10/98),Pancreatic 4.7% (4/86),Breast TNBC 2.7% (3/112) Nectin-4 8.1 Urothelial 14.3% (2/14),Breast 13.9% (50/360),Lung 9.2% (9/98) ERBB3 12.7 Lung 27.6% (27/98) EGFR 5.6 Lung 8.2% (8/98)

Journal of Clinical OncologyVol. 44(16_suppl)
Apollo Hospitals (IN), University College London Hospitals NHS Foundation Trust (GB), Sir H.N. Reliance Foundation Hospital and Research Centre (IN), Emirates Foundation (AE), Rabindranath Tagore International Institute of Cardiac Sciences (IN), Medanta The Medicity (IN), Orthopaedic Research Group (IN), Datar Cancer Genetics (India) (IN), Apollo Hospitals (IN), HCG Cancer Centre (IN), Praxis für Hämatologie und Onkologie (DE), Bupa Cromwell Hospital (GB), Fortis Hospital (IN), Advanced Centre for Treatment, Research and Education in Cancer (IN), University College London (GB)
Good health and well-being
Openalex Percentile: Top 7%
HER2/EGFR in Cancer Research
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.