Genomic profiling of lung adenocarcinoma patients reveals therapeutic targets and confers clinical benefit when standard molecular testing is negative
Metrics: PDF 925 views | HTML 379 views | ?
Sun Min Lim1,2, Eun Young Kim3, Hye Ryun Kim2, Siraj M. Ali4, Joel R. Greenbowe4, Hyo Sup Shim5, Hyun Chang6, Seungtaek Lim7, Soonmyung Paik8, Byoung Chul Cho2
1Department of Internal Medicine, Division of Medical Oncology, CHA Bundang Hospital, CHA University, Korea
2Department of Internal Medicine, Division of Medical Oncology, Yonsei University College of Medicine, Seoul, Korea
3Department of Pulmonology, Yonsei University College of Medicine, Seoul, Korea
4Clinical Development, Foundation Medicine, Inc, Cambridge, MA, USA
5Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
6Hematology and Medical Oncology, International St Mary’s Hospital, Catholic Kwandong University, College of Medicine, Incheon, Korea
7Hematology and Medical Oncology, Wonju Severance Christianity Hospital, Wonju, Korea
8Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Korea
Byoung Chul Cho, e-mail: firstname.lastname@example.org
Keywords: lung adenocarcinoma, next-generation sequencing, cancer gene test, genomic profiling
Received: February 16, 2016 Accepted: March 02, 2016 Published: March 16, 2016
Background: Identification of clinically relevant oncogenic drivers in advanced cancer is critical in selecting appropriate targeted therapy. Using next-generation sequencing (NGS)-based clinical cancer gene assay, we performed comprehensive genomic profiling (CGP) of advanced cases of lung adenocarcinoma.
Methods: Formalin-fixed paraffin-embedded tumors from 51 lung adenocarcinoma patients whose tumors previously tested negative for EGFR/KRAS/ALK by conventional methods were collected, and CGP was performed via hybridization capture of 4,557 exons from 287 cancer-related genes and 47 introns from 19 genes frequently rearranged in cancer.
Results: Genomic profiles of all 51 cases were obtained, with a median coverage of 564x and a total of 190 individual genomic alterations (GAs). GAs per specimen was a mean of 3.7 (range 0-10).Cancer genomes are characterized by 50% (80/190) non-synonymous base substitutions, 15% (29/190) insertions or deletion, and 3% (5/190) splice site mutation. TP53 mutation was the most common GAs (15%, n=29/190), followed by CDKN2A homozygous loss (5%, n=10/190), KRAS mutation (4%, n=8/190), EGFR mutation (4%, n=8/190) and MDM2 amplification (2%, n=5/190). As per NCCN guidelines, targetable GAs were identified in 16 patients (31%) (BRAF mutation [n=1], EGFR mutation [n=8], ERBB2 mutation [n=4], MET amplification [n=1], KIF5B-RET rearrangement [n=2], CCDC6-RET rearrangement [n=1], CD74-ROS1 rearrangement [n=1], EZR-ROS1 rearrangement [n=5], and SLC34A2-ROS1 rearrangement [n=1]).
Conclusion: Fifty eight percent of patients wild type by standard testing for EGFR/KRAS/ALK have GAs identifiable by CGP that suggest benefit from target therapy. CGP used when standard molecular testing for NSCLC is negative can reveal additional avenues of benefit from targeted therapy.
Sun Min Lim
Eun Young Kim
Hye Ryun Kim
Siraj M. Ali
Joel R. Greenbowe
Hyo Sup Shim
Byoung Chul Cho
Primary Contact _
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.