High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations

ERBB2 (HER2) is a well-studied oncogene with several driver mutations apart from the well-known amplification defect in some breast cancers. We used the GigaAssay to test the functional effect of HER2 missense mutations on its receptor tyrosine kinase function. The GigaAssay is a modular high-throughput one-pot assay system for simultaneously measuring molecular function of thousands of genetic variants at very high accuracy. The activities of 5886 mutations were classified, significantly more mutants than previously reported. These variants include 112 new in cellulo, as well as 10 known and 9 new in vivo gain-of-function (GOF) mutations. Many of the GOFs spatially cluster in sequence and structure, supporting the activation mechanisms of heterodimerization with EGFR and release of kinase inhibition by the juxtamembrane domain. Retrospective analysis of patient outcomes from the Genomic Data Commons predicts survival with the newly identified HER2 GOF variants is better than with previously-identified GOFs, which likely represented the most severe variants.

Authors

Institutions

Publication Details

Journal
Genomics
Published
2025-10-04
DOI
https://doi.org/10.1016/j.ygeno.2025.111118
Primary Topic
Advanced Biosensing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations

Lancer Brown, Liz J. Valente, Martin R. Schiller, Hong‐Wen Deng et al.
Genomics
Advanced Biosensing Techniques and Applications
article

High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations

Lancer Brown, Liz J. Valente, Martin R. Schiller, Hong‐Wen Deng, Sara E. Patterson, Christopher J. Giacoletto, Jerome I. Rotter, Susan M. Mockus, Rewatee H. Gokhale, Wayne W. Grody
article en

Abstract

ERBB2 (HER2) is a well-studied oncogene with several driver mutations apart from the well-known amplification defect in some breast cancers. We used the GigaAssay to test the functional effect of HER2 missense mutations on its receptor tyrosine kinase function. The GigaAssay is a modular high-throughput one-pot assay system for simultaneously measuring molecular function of thousands of genetic variants at very high accuracy. The activities of 5886 mutations were classified, significantly more mutants than previously reported. These variants include 112 new in cellulo, as well as 10 known and 9 new in vivo gain-of-function (GOF) mutations. Many of the GOFs spatially cluster in sequence and structure, supporting the activation mechanisms of heterodimerization with EGFR and release of kinase inhibition by the juxtamembrane domain. Retrospective analysis of patient outcomes from the Genomic Data Commons predicts survival with the newly identified HER2 GOF variants is better than with previously-identified GOFs, which likely represented the most severe variants.

GenomicsVol. 117(6)
Tulane University (US), University of Nevada, Las Vegas (US), University of California, Los Angeles (US), UCLA Medical Center (US), Huron Gastro (US), Baylor Genetics (US), Epigenomics (Germany) (DE)
Openalex Percentile: Top 76%
Advanced Biosensing Techniques and Applications
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.

High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations — Lancer Brown, Liz J. Valente, et al. · Genomics (2025) | TGRS Research Map | TGRS