Abstract 2331P
Background
Based on HER2 expression using immunohistochemistry (IHC) and HER2 gene amplification using in situ hybridization (ISH), breast cancers (BC) are usually classified, into HER2 positive (IHC 3+ or IHC 2+/ISH+) and HER2 negative (IHC 0, IHC 1+ or IHC 2+/ISH-). Recently, HER2-low breast cancers (HER2-low BC) emerged as a new subtype defined as IHC1+ or IHC2+/ISH- tumors. HER2-low BC represent more than half of all BC. Consistently with the clinical activity of HER2 antibody-directed chemotherapy (ADC) in HER2-low BC, this subtype should be identified to enable early set-up of therapy. Since HER2-low BC identification could be equivocal using conventional IHC and ISH, we evaluated the performance of NGS for integrated diagnostic including HER2 copy number analysis.
Methods
BC tumor specimens were analyzed using IHC and ISH as performed routinely. NGS was performed using a custom capture based 51-gene panel, including BC molecular target genes such as ESR1, PIK3CA, AKT1, ERBB2, TP53, BRCA1 and BRCA2. Gene mutations as well as copy number variation (CNV) and Microsatellite Instability (MSI) were determined.
Results
Thirty-one FFPE BC tumor specimens were classified using IHC and ISH into 11 HER2-positive (IHC2+ ISH+ and IHC3+), 10 HER2-negative (IHC 0) and 10 HER2-low cancers (IHC1+ and IHC2+ ISH-). Using NGS, CNV values for ERBB2 gene were significantly (p<0.001) different between HER2 negative, HER2low and HER2- positive tumors with mean CNV values of 2.0 (SD=0.3), 1.9 (SD=0.3) and 7.8 (SD=6.8), respectively. Using 3.25 as cutoff value for CNV, 90% concordance of HER2 amplification status was achieved between ISH and NGS. Using NGS, additional drug-targetable gene mutations as well as amplifications were detected in 68% (21/31) and 19% (6/31) of the cases, respectively. One case of MSI was detected in a HER2-negative and ISH unamplified case.
Conclusions
These results show that in HER2 IHC positive (scores 1+ to 3+) BC, CNV determination using NGS allows the identification of HER2-low status simultaneously with the detection of multiple molecular target genes while sparing tissue samples. This workflow could support molecular board decision between HER2-ADC or other targeted therapies.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Seagen.
Disclosure
J.L. Merlin: Financial Interests, Institutional, Research Grant: Seagen. All other authors have declared no conflicts of interest.
Resources from the same session
2336P - MiR-155 overexpression regulates epithelial-mesenchymal transition through repressing Quaking in lung cancer cells
Presenter: Jung-Jyh Hung
Session: Poster session 16
2337P - Feasibility of mutation detection in cytological samples from metastasis in patients with metastatic prostate cancer
Presenter: Marina Mencinger
Session: Poster session 16
2338P - The phenotype of tumor-associated macrophages in human high-grade serous ovarian carcinoma
Presenter: Irina Larionova
Session: Poster session 16
2339P - Clinical and genomic correlates of plasma circulating tumor DNA (ctDNA) tumor fraction (TF) in patients with advanced NSCLC
Presenter: Filippo Dall'Olio
Session: Poster session 16
2340P - T-cell immunoglobulin and mucin-domain containing molecule-3 (Tim3) in breast cancer and the impact on penetration of blood brain barrier by cancer cells
Presenter: Xiaoshan Cao
Session: Poster session 16
2341P - Novel therapeutic opportunities in metaplastic breast cancer
Presenter: Fresia Pareja
Session: Poster session 16
2342P - Single tumor cells are a novel prognostic criterion in breast cancer patients
Presenter: Liubov Tashireva
Session: Poster session 16
2343P - Evolution of circulating tumour DNA analysis in France over 5 years
Presenter: Guillaume Herbreteau
Session: Poster session 16
2345P - The possibility of programmed death-ligand 1-related immune modulation in neoadjuvant thermoradiotherapy for rectal cancer
Presenter: seihwan you
Session: Poster session 16
2346P - Spatial and quantified molecular characterization of high endothelial venule predictive of immunotherapy response
Presenter: Kunheng Du
Session: Poster session 16