Abstract 198P
Background
Recent advances have transformed care for HER2-positive gastrointestinal cancer. However, the clinical utility of NGS-based techniques for determining HER2 status in GI cancer has been limited. Here, we detail our experience regarding the assessment of HER2 alterations in GI cancer.
Methods
626 colorectal cancer (CRC) samples, 80 esophageal cancer (ESCA) samples, 153 esophagogastric junction cancer (EGJC) samples, and 286 gastric cancer (GC) samples were collected from August 2021 to April 2023. Among them, there were 82 CRC plasma samples, 33 GC plasma samples, 7 ESCA plasma samples, and 22 EGJC plasma samples. All specimens were detected by OncoDrug-Seq 603-gene panel assay through NGS using Illumina NovaSeq 6000. For plasmas, HER2 amplification defined as HER2 copy number >2.22 was identified. For tissues, HER2 amplification defined as HER2 copy number >6.00 was identified.
Results
For tissue samples, ERBB2 amplification was detected in 0.74% of CRCs, 3.56% of GCs, 1.37% of ESCAs, and 3.05% of EGJCs. Only 2 GC cases (6.06%) were found to have ERBB2 amplification for plasma samples. No ERBB2-amplified CRCs showed mismatch-repair deficiency. ERBB2 amplification is anti-correlated with RAS/RAF mutations in CRCs (p=0.047). Interestingly, ERBB2 amplification was associated with microsatellite stability in GCs (p=0.00078). Other driver alterations were not present in the ERBB2-amplified cases that currently have targeted therapies approved by the FDA including NTRK fusion, RET fusion, and BRAF V600E mutation.
Conclusions
The proportions of ERBB2 amplification in GCs and EGJCs were relatively high. The high positive rate in GC plasma samples is worthy of attention. The mutational landscape of ERBB2-amplified cases provides novel insights that can help guide further patient-personalized therapy.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
175P - Radiomic biomarker of vessel tortuosity for monitoring treatment change: Preliminary findings in prospective evaluation of ECOG-ACRIN EA5163
Presenter: Pushkar Mutha
Session: Poster session 01
176P - Enhancing immunotherapy response prediction via multimodal integration of radiology and pathology deep learning models
Presenter: Marta Ligero
Session: Poster session 01
177P - Revealing differences in radiosensitivity of advanced non-small cell lung cancer (NSCLC)through single-cell sequencing data
Presenter: Peimeng You
Session: Poster session 01
178P - Explainable radiomics, machine and deep learning models to predict immune-checkpoint inhibitor treatment efficacy in advanced non-small cell lung cancer patients
Presenter: Leonardo Provenzano
Session: Poster session 01
179P - Molecular tumor board directed treatment for patients with advanced stage solid tumors: A case-control study
Presenter: Dhruv Bansal
Session: Poster session 01
180P - An HLA-diet-oriented system unveiling organ-specific occurrence of multiple primary cancers (MPC) with prevention strategy: A large cohort study of 47,550 cancer patients
Presenter: Zixuan Rong
Session: Poster session 01
181P - GeNeo: Agnostic comprehensive genomic profiling versus limited panel organ-directed next-generation sequencing within the Belgian PRECISION initiative
Presenter: Philippe Aftimos
Session: Poster session 01
182P - ALK fusion detection by RNA next-generation sequencing (NGS) compared to DNA in a large, real-world non-small cell lung cancer (NSCLC) dataset
Presenter: Wade Iams
Session: Poster session 01
183P - Frequency of actionable fusions in 7,735 patients with solid tumors
Presenter: Kevin McDonnell
Session: Poster session 01
184P - Patient-specific HLA-I genotypes predict response to immune checkpoint blockade
Presenter: Kyrillus Shohdy
Session: Poster session 01