Abstract 184P
Background
Advances in HER2-targeted therapies show potential for treating various solid tumors, but identifying HER2-positive patients across tumor types is challenging. Methods like immunohistochemistry (IHC) and in situ hybridization (ISH) are validated in breast and gastric cancers but become impractical in a pan-tumor setting due to low HER2 positivity rates, requiring extensive patient screening. Additionally, high observer disagreement in HER2 IHC and the need for tumor-specific scoring systems further complicate the IHC approach in this context. There is a crucial need for efficient and accurate methods to identify HER2-positive patients across solid tumors.
Methods
Patients in this study were part of the pan-tumor trial, COPPO. HER2-RNA and protein levels were quantified across 46 tumor types using RNA-seq in 1330 patients and a mass spectrometer in 1298 patients; 882 patients had both RNA and protein data. HER2 status was determined in 229 breast/gastric cancer patients using HER2 IHC and FISH. A HER2-RNA and protein cutoff based on HER2 positivity was identified in breast/gastric samples and then applied to non-breast/gastric pan-tumor patients. ERBB2 amplifications and mutations were assessed using SNP array and whole-exome sequencing. ANOVA, Pearson's correlation, and ROC analysis were used to evaluate associations and cutoff performance.
Results
HER2 RNA and protein levels showed significant associations with IHC and FISH breast/gastric cancers, with AUCs of 0.84 and 0.83, respectively. In non-breast/gastric pan-tumor patients, 6.2% (65/1047) and 9.7% (89/918) tested positive for HER2 via RNA and protein cut-offs, respectively. A significant correlation (0.66, 95% CI 0.61-0.70, p < 2.2e-16) was observed, yet only 25% tested positive for both. In the HER2-RNA positive group, 13% had ERBB2 mutations and 36% had amplifications; in the protein-positive group, 3.7% had mutations and 44% had amplifications.
Conclusions
This study highlights the utility of HER2 RNA and protein quantification in identifying HER2-positive patients across various tumors. The findings encourage consideration for adoption of these biomarkers in trials aimed to identify and select patients for HER2-targeted treatments.
Clinical trial identification
NCT0229052.
Editorial acknowledgement
Legal entity responsible for the study
K. Egebjerg.
Funding
The study was supported by Harboefonden, Independent Research Fund, the Dannish Cancer society, and the Capital Region of Denmark. IHC and FISH was conducted by Agilent Technologies.
Disclosure
K. Egebjerg: Financial Interests, Personal and Institutional, Speaker, Consultant, Advisor: Astellas Pharma; Financial Interests, Institutional, Other, Travel: AstraZeneca, Daiichi Sankyo. All other authors have declared no conflicts of interest.
Resources from the same session
162P - Exploiting gp100-specific antibodies isolated from immune checkpoint inhibitor-responsive melanoma patients to target tumor cells
Presenter: Lukas Flatz
Session: Poster session 08
163P - Tumorspheres cultured from circulating cancer stem cells overexpress the innate checkpoint CD47 in breast cancer patients
Presenter: Monika Pizon
Session: Poster session 08
Resources:
Abstract
164P - A spatially informed transcriptomic model to forecast early resistance to front-line osimertinib in advanced EGFR-mutant NSCLC
Presenter: Jon Zugazagoitia
Session: Poster session 08
165P - Consistency analysis of c-Met protein expression over time in patients with non-squamous non-small cell lung cancer
Presenter: Alexis Cortot
Session: Poster session 08
166P - Integrative multi-omics refine molecular diagnostics in non-small cell lung cancer
Presenter: Li Ren Kong
Session: Poster session 08
167P - Tumor-immune spatial interactions on NSCLC H&E slide images predicts immunotherapy response: Preliminary external validation
Presenter: Liam Il-Young Chung
Session: Poster session 08
168P - Biosimulation coupled with personalized tumor microenvironment (TME) modeling predicts response to immunotherapy treatment in NSCLC patients
Presenter: Himanshu Grover
Session: Poster session 08
169P - Analysis of tumor immune microenvironment with mIHC in Chinese non-small cell lung cancer
Presenter: Hao Wu
Session: Poster session 08
170P - Clinical presentations and prognosis of HER2-low breast cancer in Taiwan
Presenter: Grace Chen
Session: Poster session 08
171P - A computational pathology collagen signature predictive of tamoxifen benefit in ductal carcinoma in situ: Results from a cohort within the UK/ANZ DCIS randomized trial
Presenter: Arpit Aggarwal
Session: Poster session 08