Genomic heterogeneity at baseline is associated with T790M resistance mutations in EGFR‐mutated lung cancer treated with the first‐/second‐generation tyrosine kinase inhibitors

Author:

Menzel Michael1ORCID,Kirchner Martina1,Kluck Klaus1,Ball Markus1,Beck Susanne1,Allgäuer Michael1,Assmann Christin23,Schnorbach Johannes23,Volckmar Anna‐Lena1,Tay Timothy Kwang Yong14,Goldschmid Hannah1,Tan Daniel SW5,Thomas Michael23,Kazdal Daniel12ORCID,Budczies Jan1ORCID,Stenzinger Albrecht12,Christopoulos Petros23

Affiliation:

1. Institute of Pathology Heidelberg University Hospital Heidelberg Germany

2. Translational Lung Research Center (TLRC) Heidelberg Member of the German Center for Lung Research (DZL) Heidelberg Germany

3. Department of Thoracic Oncology Thoraxklinik and National Center for Tumor Diseases at Heidelberg University Hospital Heidelberg Germany

4. Department of Anatomical Pathology Singapore General Hospital Singapore

5. Department of Clinical Trials and Epidemiological Sciences National Cancer Centre Singapore

Abstract

AbstractThis study analyzed whether extended molecular profiling can predict the development of epidermal growth factor receptor (EGFR) gene T790M mutation, which is the most frequent resistance alteration in non‐small cell lung cancer (NSCLC) after treatment with the first‐/second‐generation (1G/2G) EGFR inhibitors (tyrosine kinase inhibitors [TKIs]), but only weakly associated with clinical characteristics. Whole exome sequencing (WES) was performed on pretreatment tumor tissue with matched normal samples from NSCLC patients with (n = 25, detected in tissue or blood rebiopsies) or without (n = 14, negative tissue rebiopsies only) subsequent EGFR p.T790M mutation after treatment with 1G/2G EGFR TKI. Several complex genetic biomarkers were assessed using bioinformatic methods. After treatment with first‐line afatinib (44%) or erlotinib/gefitinib (56%), median progression‐free survival and overall survival were 12.1 and 33.7 months, respectively. Clinical and tumor genetic characteristics, including age (median, 66 years), sex (74% female), smoking (69% never/light smokers), EGFR mutation type (72% exon 19 deletions), and TP53 mutations (41%) were not significantly associated with T790M mutation (p > 0.05). By contrast, complex biomarkers including tumor mutational burden, the clock‐like mutation signature SBS1 + 5, tumor ploidy, and markers of subclonality including mutant‐allele tumor heterogeneity, subclonal copy number changes, and median tumor‐adjusted variant allele frequency were significantly higher at baseline in tumors with subsequent T790M mutation (all p < 0.05). Each marker alone could predict subsequent development of T790M with an area under the curve (AUC) of 0.72–0.77, but the small number of cases did not allow confirmation of better performance for biomarker combinations in leave‐one‐out cross‐validated logistic regression (AUC 0.69, 95% confidence interval: 0.50–0.87). Extended molecular profiling with WES at initial diagnosis reveals several complex biomarkers associated with subsequent development of T790M resistance mutation in NSCLC patients receiving first‐/second‐generation TKIs as the first‐line therapy. Larger prospective studies will be necessary to define a forecasting model.

Funder

Boehringer Ingelheim

Deutsches Zentrum für Lungenforschung

Publisher

Wiley

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