Literature DB >> 29540602

Hybrid Capture-Based Comprehensive Genomic Profiling Identifies Lung Cancer Patients with Well-Characterized Sensitizing Epidermal Growth Factor Receptor Point Mutations That Were Not Detected by Standard of Care Testing.

James H Suh1, Alexa B Schrock2, Adrienne Johnson2, Doron Lipson2, Laurie M Gay2, Shakti Ramkissoon2, Jo-Anne Vergilio2, Julia A Elvin2, Abdur Shakir3, Peter Ruehlman4, Karen L Reckamp5, Sai-Hong Ignatius Ou6, Jeffrey S Ross2,7, Philip J Stephens2, Vincent A Miller2, Siraj M Ali2.   

Abstract

BACKGROUND: In our recent study, of cases positive for epidermal growth factor receptor (EGFR) exon 19 deletions using comprehensive genomic profiling (CGP), 17/77 (22%) patients with prior standard of care (SOC) EGFR testing results available were previously negative for exon 19 deletion. Our aim was to compare the detection rates of CGP versus SOC testing for well-characterized sensitizing EGFR point mutations (pm) in our 6,832-patient cohort.
MATERIALS AND METHODS: DNA was extracted from 40 microns of formalin-fixed paraffin-embedded sections from 6,832 consecutive cases of non-small cell lung cancer (NSCLC) of various histologies (2012-2015). CGP was performed using a hybrid capture, adaptor ligation-based next-generation sequencing assay to a mean coverage depth of 576×. Genomic alterations (pm, small indels, copy number changes and rearrangements) involving EGFR were recorded for each case and compared with prior testing results if available.
RESULTS: Overall, there were 482 instances of EGFR exon 21 L858R (359) and L861Q (20), exon 18 G719X (73) and exon 20 S768I (30) pm, of which 103 unique cases had prior EGFR testing results that were available for review. Of these 103 cases, CGP identified 22 patients (21%) with sensitizing EGFR pm that were not detected by SOC testing, including 9/75 (12%) patients with L858R, 4/7 (57%) patients with L861Q, 8/20 (40%) patients with G719X, and 4/7 (57%) patients with S768I pm (some patients had multiple EGFR pm). In cases with available clinical data, benefit from small molecule inhibitor therapy was observed.
CONCLUSION: CGP, even when applied to low tumor purity clinical-grade specimens, can detect well-known EGFR pm in NSCLC patients that would otherwise not be detected by SOC testing. Taken together with EGFR exon 19 deletions, over 20% of patients who are positive for EGFR-activating mutations using CGP are previously negative by SOC EGFR mutation testing, suggesting that thousands of such patients per year in the U.S. alone could experience improved clinical outcomes when hybrid capture-based CGP is used to inform therapeutic decisions. IMPLICATIONS FOR PRACTICE: This study points out that genomic profiling, as based on hybrid capture next-generation sequencing, can identify lung cancer patients with point mutation in epidermal growth factor receptor (EGFR) missed by standard molecular testing who can likely benefit from anti-EGFR targeted therapy. Beyond the specific findings regarding false-negative point mutation testing for EGFR, this study highlights the need for oncologists and pathologists to be cognizant of the performance characteristics of testing deployed and the importance of clinical intuition in questioning the results of laboratory testing. © AlphaMed Press 2018.

Entities:  

Keywords:  Comprehensive genomic profiling; Epidermal growth factor receptor point mutations; Hybrid capture

Mesh:

Substances:

Year:  2018        PMID: 29540602      PMCID: PMC6058345          DOI: 10.1634/theoncologist.2017-0493

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  20 in total

1.  Kinase inhibitor-responsive genotypes in EGFR mutated lung adenocarcinomas: moving past common point mutations or indels into uncommon kinase domain duplications and rearrangements.

Authors:  Daniel B Costa
Journal:  Transl Lung Cancer Res       Date:  2016-06

2.  Emergence of RET rearrangement co-existing with activated EGFR mutation in EGFR-mutated NSCLC patients who had progressed on first- or second-generation EGFR TKI.

Authors:  Samuel J Klempner; Lyudmila A Bazhenova; Fadi S Braiteh; Petros G Nikolinakos; Kyle Gowen; Claudia M Cervantes; Juliann Chmielecki; Joel R Greenbowe; Jeffrey S Ross; Philip J Stephens; Vincent A Miller; Siraj M Ali; Sai-Hong Ignatius Ou
Journal:  Lung Cancer       Date:  2015-06-29       Impact factor: 5.705

3.  Comprehensive Genomic Profiling Facilitates Implementation of the National Comprehensive Cancer Network Guidelines for Lung Cancer Biomarker Testing and Identifies Patients Who May Benefit From Enrollment in Mechanism-Driven Clinical Trials.

Authors:  James H Suh; Adrienne Johnson; Lee Albacker; Kai Wang; Juliann Chmielecki; Garrett Frampton; Laurie Gay; Julia A Elvin; Jo-Anne Vergilio; Siraj Ali; Vincent A Miller; Philip J Stephens; Jeffrey S Ross
Journal:  Oncologist       Date:  2016-05-05

4.  Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology.

Authors:  Donavan T Cheng; Talia N Mitchell; Ahmet Zehir; Ronak H Shah; Ryma Benayed; Aijazuddin Syed; Raghu Chandramohan; Zhen Yu Liu; Helen H Won; Sasinya N Scott; A Rose Brannon; Catherine O'Reilly; Justyna Sadowska; Jacklyn Casanova; Angela Yannes; Jaclyn F Hechtman; Jinjuan Yao; Wei Song; Dara S Ross; Alifya Oultache; Snjezana Dogan; Laetitia Borsu; Meera Hameed; Khedoudja Nafa; Maria E Arcila; Marc Ladanyi; Michael F Berger
Journal:  J Mol Diagn       Date:  2015-03-20       Impact factor: 5.568

5.  EGF receptor gene mutations are common in lung cancers from "never smokers" and are associated with sensitivity of tumors to gefitinib and erlotinib.

Authors:  William Pao; Vincent Miller; Maureen Zakowski; Jennifer Doherty; Katerina Politi; Inderpal Sarkaria; Bhuvanesh Singh; Robert Heelan; Valerie Rusch; Lucinda Fulton; Elaine Mardis; Doris Kupfer; Richard Wilson; Mark Kris; Harold Varmus
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-25       Impact factor: 11.205

6.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

7.  DNA-Mutation Inventory to Refine and Enhance Cancer Treatment (DIRECT): a catalog of clinically relevant cancer mutations to enable genome-directed anticancer therapy.

Authors:  Paul Yeh; Heidi Chen; Jenny Andrews; Riyad Naser; William Pao; Leora Horn
Journal:  Clin Cancer Res       Date:  2013-01-23       Impact factor: 12.531

8.  Comprehensive Genomic Profiling Identifies Frequent Drug-Sensitive EGFR Exon 19 Deletions in NSCLC not Identified by Prior Molecular Testing.

Authors:  Alexa B Schrock; Garrett M Frampton; Dana Herndon; Joel R Greenbowe; Kai Wang; Doron Lipson; Roman Yelensky; Zachary R Chalmers; Juliann Chmielecki; Julia A Elvin; Mira Wollner; Addie Dvir; Lior Soussan -Gutman; Rodolfo Bordoni; Nir Peled; Fadi Braiteh; Luis Raez; Rachel Erlich; Sai-Hong Ignatius Ou; Mohamed Mohamed; Jeffrey S Ross; Philip J Stephens; Siraj M Ali; Vincent A Miller
Journal:  Clin Cancer Res       Date:  2016-03-01       Impact factor: 12.531

9.  AZD9291 in EGFR inhibitor-resistant non-small-cell lung cancer.

Authors:  Pasi A Jänne; James Chih-Hsin Yang; Dong-Wan Kim; David Planchard; Yuichiro Ohe; Suresh S Ramalingam; Myung-Ju Ahn; Sang-We Kim; Wu-Chou Su; Leora Horn; Daniel Haggstrom; Enriqueta Felip; Joo-Hang Kim; Paul Frewer; Mireille Cantarini; Kathryn H Brown; Paul A Dickinson; Serban Ghiorghiu; Malcolm Ranson
Journal:  N Engl J Med       Date:  2015-04-30       Impact factor: 91.245

10.  Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Authors:  Zachary R Chalmers; Caitlin F Connelly; David Fabrizio; Laurie Gay; Siraj M Ali; Riley Ennis; Alexa Schrock; Brittany Campbell; Adam Shlien; Juliann Chmielecki; Franklin Huang; Yuting He; James Sun; Uri Tabori; Mark Kennedy; Daniel S Lieber; Steven Roels; Jared White; Geoffrey A Otto; Jeffrey S Ross; Levi Garraway; Vincent A Miller; Phillip J Stephens; Garrett M Frampton
Journal:  Genome Med       Date:  2017-04-19       Impact factor: 11.117

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  2 in total

1.  Genomic Signature of Driver Genes Identified by Target Next-Generation Sequencing in Chinese Non-Small Cell Lung Cancer.

Authors:  Shiwang Wen; Lei Dai; Lei Wang; Wenjian Wang; Duoguang Wu; Kefeng Wang; Zhanghai He; Aodi Wang; Hui Chen; Peng Zhang; Xiaowei Dong; Yu-An Dong; Kai Wang; Ming Yao; Minghui Wang
Journal:  Oncologist       Date:  2019-03-22

2.  EGFR Testing Patterns and Detection of EGFR Exon 20 Insertions in the United States.

Authors:  Huamao M Lin; Yu Yin; Victoria Crossland; Yanyu Wu; Sai-Hong Ignatius Ou
Journal:  JTO Clin Res Rep       Date:  2022-01-25
  2 in total

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