Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets.
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Lee Jessica K, Quintanilha Julia C F, Chen Kuei-Ting, Fendler Bernard, Tambaoan Candice Francheska B, Graf Ryon, Odzer Nicole, Pusztai Lajos, Lustberg Maryam, Singh Harshabad, Strickland Matthew, O'Meara Tess A, Tolaney Sara M, Yap Timothy A, Ross Jeffrey, Gasco Hernandez Amaya, Decker Brennan, Huang Richard S P, Klempner Samuel J, Sokol Ethan S, Schrock Alexa B
Аннотация
PURPOSE: Gene copy number (CN) amplifications and protein overexpression are common drug targets, and detection relies on various methodologies, including next-generation sequencing-based CN, immunohistochemistry (IHC), and in situ hybridization (ISH). We investigated the pan-tumor landscape of amplifications and developed AmpRatio, a novel method of CN quantitation.
EXPERIMENTAL DESIGN: Pan-tumor tissue (N = 486,340) and liquid (N = 85,635) samples underwent hybrid capture-based comprehensive genomic profiling. A genome-wide CN model for each sample was generated to estimate the purity, ploidy, and segment-level CN. AmpRatio was calculated by dividing gene CN/sample ploidy. A US-based deidentified clinicogenomic database was utilized to assess the relationship between ERBB2 AmpRatio and HER2 IHC/FISH and outcomes on anti-HER2 therapies.
RESULTS: Amplifications with varying degrees of gain were reported in 38.6% of pan-tumor tissue samples, most frequently MYC (5.6%), 11q13 (5.2%), ERBB2 (5.2%), and CCNE1 (3.2%). ERBB2 AmpRatio was associated with HER2 positivity by IHC/FISH in gastroesophageal [overall percent agreement (OPA) 90%] and breast (OPA 95%) cancers. Among patients treated with anti-HER2 therapies, ERBB2 AmpRatio significantly stratified outcomes within the ERBB2-amplified and IHC-defined HER2+ and HER2-low/ultralow populations. High concordance (sensitivity 88%) of amplification detection in liquid biopsy versus tissue was associated with higher AmpRatio and ctDNA tumor fraction ≥20%.
CONCLUSIONS: CN amplifications are prevalent and diverse biomarkers, and AmpRatio is variable across genes and tumor types. ERBB2 AmpRatio is associated with outcomes to HER2-directed therapies and may have utility alongside IHC for clinical decision-making. With the increasing number of therapies targeting amplifications/overexpression, it will be important to define harmonized methods for CN quantification for optimal patient selection.
EXPERIMENTAL DESIGN: Pan-tumor tissue (N = 486,340) and liquid (N = 85,635) samples underwent hybrid capture-based comprehensive genomic profiling. A genome-wide CN model for each sample was generated to estimate the purity, ploidy, and segment-level CN. AmpRatio was calculated by dividing gene CN/sample ploidy. A US-based deidentified clinicogenomic database was utilized to assess the relationship between ERBB2 AmpRatio and HER2 IHC/FISH and outcomes on anti-HER2 therapies.
RESULTS: Amplifications with varying degrees of gain were reported in 38.6% of pan-tumor tissue samples, most frequently MYC (5.6%), 11q13 (5.2%), ERBB2 (5.2%), and CCNE1 (3.2%). ERBB2 AmpRatio was associated with HER2 positivity by IHC/FISH in gastroesophageal [overall percent agreement (OPA) 90%] and breast (OPA 95%) cancers. Among patients treated with anti-HER2 therapies, ERBB2 AmpRatio significantly stratified outcomes within the ERBB2-amplified and IHC-defined HER2+ and HER2-low/ultralow populations. High concordance (sensitivity 88%) of amplification detection in liquid biopsy versus tissue was associated with higher AmpRatio and ctDNA tumor fraction ≥20%.
CONCLUSIONS: CN amplifications are prevalent and diverse biomarkers, and AmpRatio is variable across genes and tumor types. ERBB2 AmpRatio is associated with outcomes to HER2-directed therapies and may have utility alongside IHC for clinical decision-making. With the increasing number of therapies targeting amplifications/overexpression, it will be important to define harmonized methods for CN quantification for optimal patient selection.