Literature DB >> 29141884

A method of high-throughput functional evaluation of EGFR gene variants of unknown significance in cancer.

Shinji Kohsaka1, Masaaki Nagano2,3, Toshihide Ueno2, Yoshiyuki Suehara4, Takuo Hayashi5, Naoko Shimada6, Kazuhisa Takahashi6, Kenji Suzuki7, Kazuya Takamochi7, Fumiyuki Takahashi6, Hiroyuki Mano8,9.   

Abstract

Numerous variants of unknown significance (VUS) have been identified through large-scale cancer genome projects, although their functional relevance remains uninvestigated. We developed a mixed-all-nominated-mutants-in-one (MANO) method to evaluate the transforming potential and drug sensitivity of oncogene VUS in a high-throughput manner and applied this method to 101 nonsynonymous epidermal growth factor receptor (EGFR) mutants. We discovered a number of mutations conferring resistance to EGFR tyrosine kinase inhibitors (TKIs), including gefitinib- and erlotinib-insensitive missense mutations within exon 19 and other gefitinib-resistant mutations, such as L833V, A839T, V851I, A871T, and G873E. L858R-positive tumors (12.8%) harbored compound mutations primarily in the cis allele, which decreased the gefitinib sensitivity of these tumors. The MANO method further revealed that some EGFR mutants that are highly resistant to all types of TKIs are sensitive to cetuximab. Thus, these data support the importance of examining the clinical relevance of uncommon mutations within EGFR and of evaluating the functions of such mutations in combination. This method may become a foundation for the in vitro and in vivo assessment of variants of cancer-related genes and help customize cancer therapy for individual patients.
Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2017        PMID: 29141884     DOI: 10.1126/scitranslmed.aan6566

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  60 in total

1.  Hemorrhage of a pancreatic metastasis from lung adenocarcinoma after osimertinib therapy.

Authors:  Kazuki Hayasaka; Satoshi Shiono; Naoki Yanagawa; Kei Yarimizu; Katsuyuki Suzuki; Makoto Endoh
Journal:  J Thorac Dis       Date:  2018-09       Impact factor: 2.895

2.  Leveraging Systematic Functional Analysis to Benchmark an In Silico Framework Distinguishes Driver from Passenger MEK Mutants in Cancer.

Authors:  Aphrothiti J Hanrahan; Brooke E Sylvester; Matthew T Chang; Arijh Elzein; Jianjiong Gao; Weiwei Han; Ye Liu; Dong Xu; Sizhi P Gao; Alexander N Gorelick; Alexis M Jones; Amber J Kiliti; Moriah H Nissan; Clare A Nimura; Abigail N Poteshman; Zhan Yao; Yijun Gao; Wenhuo Hu; Hannah C Wise; Elena I Gavrila; Alexander N Shoushtari; Shakuntala Tiwari; Agnes Viale; Omar Abdel-Wahab; Taha Merghoub; Michael F Berger; Neal Rosen; Barry S Taylor; David B Solit
Journal:  Cancer Res       Date:  2020-07-08       Impact factor: 12.701

3.  Defining the landscape of ATP-competitive inhibitor resistance residues in protein kinases.

Authors:  D Hernandez; M Do Carmo; L Brenan; N S Persky; O Cohen; S Kitajima; U Nayar; A Walker; S Pantel; Y Lee; J Cordova; M Sathappa; C Zhu; T K Hayes; P Ram; P Pancholi; T S Mikkelsen; D A Barbie; X Yang; R Haq; F Piccioni; D E Root; C M Johannessen
Journal:  Nat Struct Mol Biol       Date:  2020-01-10       Impact factor: 15.369

4.  Personalized oncology and BRAFK601N melanoma: model development, drug discovery, and clinical correlation.

Authors:  Brian A Keller; Brian J Laight; Oliver Varette; Aron Broom; Marie-Ève Wedge; Benjamin McSweeney; Catia Cemeus; Julia Petryk; Bryan Lo; Bruce Burns; Carolyn Nessim; Michael Ong; Roberto A Chica; Harold L Atkins; Jean-Simon Diallo; Carolina S Ilkow; John C Bell
Journal:  J Cancer Res Clin Oncol       Date:  2021-02-08       Impact factor: 4.553

Review 5.  Computational algorithms for in silico profiling of activating mutations in cancer.

Authors:  E Joseph Jordan; Keshav Patil; Krishna Suresh; Jin H Park; Yael P Mosse; Mark A Lemmon; Ravi Radhakrishnan
Journal:  Cell Mol Life Sci       Date:  2019-04-13       Impact factor: 9.261

6.  Altered conformational landscape and dimerization dependency underpins the activation of EGFR by αC-β4 loop insertion mutations.

Authors:  Zheng Ruan; Natarajan Kannan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-13       Impact factor: 11.205

7.  The EGFR Exon 19 Mutant L747-A750>P Exhibits Distinct Sensitivity to Tyrosine Kinase Inhibitors in Lung Adenocarcinoma.

Authors:  Anna Truini; Jacqueline H Starrett; Tyler Stewart; Kumar Ashtekar; Zenta Walther; Anna Wurtz; David Lu; Jin H Park; Michelle DeVeaux; Xiaoling Song; Scott Gettinger; Daniel Zelterman; Mark A Lemmon; Sarah B Goldberg; Katerina Politi
Journal:  Clin Cancer Res       Date:  2019-06-10       Impact factor: 12.531

8.  Allele-Specific Role of ERBB2 in the Oncogenic Function of EGFR L861Q in EGFR-Mutant Lung Cancers.

Authors:  Hiroki Sato; Michael Offin; Daisuke Kubota; Helena A Yu; Clare Wilhelm; Shinichi Toyooka; Romel Somwar; Mark G Kris; Marc Ladanyi
Journal:  J Thorac Oncol       Date:  2020-10-07       Impact factor: 15.609

9.  Limited effect of afatinib in a non-small cell lung cancer patient harboring an epidermal growth factor receptor K860I missense mutation: A case report.

Authors:  Tomoki Tamura; Keita Kawakado; Go Makimoto; Masamoto Nakanishi; Shoichi Kuyama
Journal:  Thorac Cancer       Date:  2021-05-04       Impact factor: 3.500

10.  Osimertinib for Patients With Non-Small-Cell Lung Cancer Harboring Uncommon EGFR Mutations: A Multicenter, Open-Label, Phase II Trial (KCSG-LU15-09).

Authors:  Jang Ho Cho; Sung Hee Lim; Ho Jung An; Ki Hwan Kim; Keon Uk Park; Eun Joo Kang; Yoon Hee Choi; Mi Sun Ahn; Myung Hee Lee; Jong-Mu Sun; Se-Hoon Lee; Jin Seok Ahn; Keunchil Park; Myung-Ju Ahn
Journal:  J Clin Oncol       Date:  2019-12-11       Impact factor: 44.544

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