Pan-cancer multi-omic ERBB2-HER2 characterization using next-generation sequencing and quantitative proteomics

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Authors: Allison L. Hunt, Jamie Randall, Jonathan D. Ogata, Laura Johnston, Whitney Rose Swain, Savannah Melvin, Meenakshi Sharma, Valerie S. Calvert, G. Larry Maxwell, Nicholas W. Bateman, Emanuel F. Petricoin, Thomas P. Conrads
+1 more Timothy Lewis Cannon
Cited by: 0
References: 40

Abstract

The recent successes of HER2-targeting agents, even in tumors characterized by FDA-approved molecular testing as HER2-negative or non-amplified, have underscored the limitations of current diagnostic approaches for accurately identifying patients with actionable HER2/EGFR activation/phosphorylation. We therefore performed a multi-omic investigation integrating clinical next-generation sequencing with a CLIA-certified reverse-phase protein array (RPPA) assay and laser microdissection-enriched tumor samples to characterize ERBB2 /HER2 at the DNA, RNA, protein, and phosphoprotein level in patients with advanced pan-cancer solid tumor malignancies. Functional pathway activation mapping by RPPA revealed several patients with ERBB2 genomic or transcriptomic alterations and/or HER2 Total -positivity by immunohistochemistry who exhibited no significant HER2 Y1248 activation/phosphorylation. In contrast, other patients lacking ERBB2 genomic/transcriptomic alterations demonstrated significant HER2 Y1248 activation/phosphorylation with co-activation of EGFR Y1173 , a marker associated with prognostic significance. Our results highlight the weak concordance between ERBB2 genomic/transcriptomic alterations and downstream activation of HER family signaling and support the inclusion of functional proteomic/phosphoproteomic analysis as an essential component of precision oncology pipelines to more accurately guide selection of HER2- and EGFR-targeted therapies.

Fields of Study & Subjects

HER2/EGFR in Cancer Research Lung Cancer Treatments and Mutations Cancer Genomics and Diagnostics

Publication details

Journal / source
npj Precision Oncology
Volume
10
Issue
1
Publication date
5 March 2026
Language
EN