The prognostic value of HER2 gene dosage and heterogeneity at a single-cell resolution in gastroesophageal adenocarcinoma.

Y Yashika Parashar (Dana-Farber Cancer Institute, Boston, MA) L Leigh Culnane (Dana-Farber Cancer Institute, Boston, MA) J Joshua Remland (Massachusetts General Hospital) C Chetan Nambiar (University of Chicago, Chicago, IL) C Chen Yuan S Shagun Nasta (Dana-Farber Cancer Institute, Boston, MA) A Adam Bard (Massachusetts General Hospital, Boston, MA) H Haeseong Park S Samuel J. Klempner (Mass General Brigham Cancer Institute, Boston) M Marios Giannakis A Andrew Aguirre (Dana-Farber Cancer Institute, Boston, MA) K Kimmie Ng J Jeffrey A. Meyerhardt B Brian M. Wolpin R Rona Yaeger J James M. Cleary (Dana–Farber Cancer Institute, Boston) C Charlotte Wang (Center for Integrated Diagnostics, Department of Pathology, Massachusetts General Hospital, Boston, MA) P Peter C. Enzinger (Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) N Nilay S. Sethi (Dana-Farber Cancer Institute, Boston, MA) H Harshabad Singh

Abstract

473 Background: HER2 gene dosage (i.e. level of amplification) and heterogeneity are key prognostic variables for HER2+ gastroesophageal adenocarcinoma (GEA), yet no standardized approach to test these in routine clinical use exists. Here we modify the analytical pipeline for HER2 FISH to quantitatively estimate these prognostic variables and correlate them with clinical outcomes. Methods: Patients with metastatic HER2+ GEA who received trastuzumab-based therapy between 2011-2024 at Dana-Farber Cancer Institute and had available pre-treatment tissue for FISH analysis were included. HER2 FISH was conducted in a CLIA approved clinical pathology laboratory. Standard HER2/CEP17 ratio (an average of 50 cells) and individual cell HER2/CEP17 ratio were calculated. Kaplan-Meier method was used to estimate progression free (PFS) on trastuzumab-based therapy and overall survival (OS). Survival outcomes were adjusted for age, gender, tumor site, grade, prior resection, number of metastatic sites, and HER2 IHC using cox proportional hazard regression models. Results: A total of 77 patients were included. Median age was 60 years, 88% were male, and 92% had HER2 3+ tumors. Individual cells with HER2/CEP17 ratio ≥ 2.0 were defined as amplified (same cutoff as current bulk standard) and those with HER2/CEP17 ratio ≥ 4.95 (population median) were labeled highly HER2 amplified providing objective metrics to assess heterogeneity and gene dosage. Using these metrics we defined three subgroups: 1. Heterogenous (Het, n = 15): <75% cells HER2+; 2. Homogenous, low gene dosage (HL, n = 30): >75% cells HER2+, <50% cells with high HER2 amplification; 3. Homogenous, high gene dosage (HH, n = 32): >75% cells HER2+, >50% cells with high HER2 amplification. Cutoffs for both metrics were determined using data distribution patterns. The subgroups were prognostically relevant and PFS and OS were significantly lower for heterogenous tumors and numerically lower for homogenous tumors with low gene dosage after multivariable adjustment (Table). Conclusions: HER2 gene dosage and heterogeneity significantly impact outcomes in HER2+ GEA. More importantly by deconvoluting clinical HER2 FISH data at single cell level, we demonstrate an objective metric with prognostic value that could be adopted for routine clinical use and for patient stratification. Further insights into differing biology of these molecular subtypes are needed. Outcomes of patients by HER2 heterogeneity and gene dosage. Hazards ratio (HR) and p values are adjusted using multivariable cox proportional hazard regression model. PFS OS Patients, No. Median, mo HR (95%CI) P Value Median, mo HR (95%CI) P Value HH 32 16.2 1 16.4 1 HL 30 12.1 1.70 (0.79-3.66) 0.173 15.7 1.71 (0.93-3.14) 0.085 Het 15 6.7 3.12 (1.35-7.2) 0.008 12.4 2.72 (1.28-5.75) 0.009

Article Details

Volume / Issue Vol. 43, Issue 4_suppl
Published February 01, 2025
Pages 473-473
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

Y

Yashika Parashar

Dana-Farber Cancer Institute, Boston, MA

L

Leigh Culnane

Dana-Farber Cancer Institute, Boston, MA

J

Joshua Remland

Massachusetts General Hospital

C

Chetan Nambiar

University of Chicago, Chicago, IL

C

Chen Yuan

S

Shagun Nasta

Dana-Farber Cancer Institute, Boston, MA

A

Adam Bard

Massachusetts General Hospital, Boston, MA

H

Haeseong Park

S

Samuel J. Klempner

Mass General Brigham Cancer Institute, Boston

M

Marios Giannakis

A

Andrew Aguirre

Dana-Farber Cancer Institute, Boston, MA

K

Kimmie Ng

J

Jeffrey A. Meyerhardt

B

Brian M. Wolpin

R

Rona Yaeger

J

James M. Cleary

Dana–Farber Cancer Institute, Boston

C

Charlotte Wang

Center for Integrated Diagnostics, Department of Pathology, Massachusetts General Hospital, Boston, MA

P

Peter C. Enzinger

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

N

Nilay S. Sethi

Dana-Farber Cancer Institute, Boston, MA

H

Harshabad Singh