- Research Article
- 10.1158/1078-0432.ccr-25-4018
The pan-tumor landscape of gene amplifications and copy number amplification ratio for established and emerging clinical targets.
- Mar 23, 2026
- Clinical cancer research : an official journal of the American Association for Cancer Research
- Jessica K Lee + 20 more +20
Gene copy number (CN) amplifications and protein overexpression are common drug targets and detection relies on various methodologies, including NGS-based CN, IHC, and ISH. We investigated the pan-tumor landscape of amplifications and developed AmpRatio, a novel method of CN quantitation. 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 de-identified clinico-genomic database was utilized to assess the relationship between ERBB2 AmpRatio and HER2 IHC/FISH and outcomes on anti-HER2 therapies. 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 vs tissue was associated with higher AmpRatio and ctDNA tumor fraction ≥20%. 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.
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