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Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in

Authors :
Christopher J M, Williams
Jenny F, Seligmann
Faye, Elliott
Michael, Shires
Susan D, Richman
Sarah, Brown
Liping, Zhang
Shalini, Singh
Judith, Pugh
Xiao-Meng, Xu
Andrea, Muranyi
Christoph, Guetter
Auranuch, Lorsakul
Uday, Kurkure
Zuo, Zhao
Jim, Martin
Xingwei, Wang
Kien, Nguyen
Wen-Wei, Liu
Dongyao, Yan
Nicholas P, West
Jennifer H, Barrett
Michael, Barnes
Isaac, Bai
Matthew T, Seymour
Philip, Quirke
Kandavel, Shanmugam
Source :
Clinical cancer research : an official journal of the American Association for Cancer Research. 27(12)
Publication Year :
2021

Abstract

High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal cancer (mCRC). However, ligand RNA assays have not been adopted into routine practice due to issues with analytic precision and practicality. We investigated whether AREG/EREG IHC could predict benefit from the anti-EGFR agent panitumumab.Artificial intelligence algorithms were developed to assess AREG/EREG IHC in 274 patients from the PICCOLO trial of irinotecan with or without panitumumab (Ir vs. IrPan) inHigh ligand expression was associated with significant PFS benefit from IrPan compared with Ir [8.0 vs. 3.2 months; HR, 0.54; 95% confidence interval (CI), 0.37-0.79;AREG/EREG IHC identified patients who benefitted from the addition of panitumumab to irinotecan chemotherapy. IHC is a practicable assay that may be of use in routine practice.

Details

ISSN :
15573265
Volume :
27
Issue :
12
Database :
OpenAIRE
Journal :
Clinical cancer research : an official journal of the American Association for Cancer Research
Accession number :
edsair.pmid..........dcaec9959e1cdc2c93594b7dec3a6a81