Literature DB >> 28129709

Profile of the Roche cobas® EGFR mutation test v2 for non-small cell lung cancer.

Umberto Malapelle1, Rafael Sirera2,3,4, Eloísa Jantus-Lewintre2,3,4, Pablo Reclusa5,6, Silvia Calabuig-Fariñas3,4,7, Ana Blasco3, Pasquale Pisapia1, Christian Rolfo5,6, Carlos Camps3,4,8,9.   

Abstract

INTRODUCTION: The discovery of driver mutations in non-small cell lung cancer (NSCLC) has led to the development of genome-based personalized medicine. Fifteen to 20% of adenocarcinomas harbor an epidermal growth factor receptor (EGFR) activating mutation associated with responses to EGFR tyrosine kinase inhibitors (TKIs). Individual laboratories' expertise and the availability of appropriate equipment are valuable assets in predictive molecular pathology, although the choice of methods should be determined by the nature of the samples to be tested and whether the detection of only well-characterized EGFR mutations or rather, of all detectable mutations, is required. Areas covered: The EGFR mutation testing landscape is manifold and includes both screening and targeted methods, each with their own pros and cons. Here we review one of these companion tests, the Roche cobas® EGFR mutation test v2, from a methodological point of view, also exploring its liquid-biopsy applications. Expert commentary: The Roche cobas® EGFR mutation test v2, based on real time RT-PCR, is a reliable option for testing EGFR mutations in clinical practice, either using tissue-derived DNA or plasma-derived cfDNA. This application will be valuable for laboratories with whose purpose is purely diagnostic and lacking high-throughput technologies.

Entities:  

Keywords:  EGFR; TKIs; cobas®; companion diagnostic; liquid biopsy; mutation; resistance

Mesh:

Substances:

Year:  2017        PMID: 28129709     DOI: 10.1080/14737159.2017.1288568

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  34 in total

Review 1.  New insights in non-small-cell lung cancer: circulating tumor cells and cell-free DNA.

Authors:  Elena Duréndez-Sáez; Aitor Azkárate; Marina Meri; Silvia Calabuig-Fariñas; Cristóbal Aguilar-Gallardo; Ana Blasco; Eloisa Jantus-Lewintre; Carlos Camps
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

Review 2.  Liquid Biopsy to Identify Actionable Genomic Alterations.

Authors:  Sai-Hong Ignatius Ou; Misako Nagasaka; Viola W Zhu
Journal:  Am Soc Clin Oncol Educ Book       Date:  2018-05-23

Review 3.  The Role of Circulating Tumor DNA in Lung Cancer: Mutational Analysis, Diagnosis, and Surveillance Now and into the Future.

Authors:  Katherine A Scilla; Christian Rolfo
Journal:  Curr Treat Options Oncol       Date:  2019-06-15

Review 4.  Urine-Based Liquid Biopsy for Nonurological Cancers.

Authors:  Surbhi Jain; Selena Y Lin; Wei Song; Ying-Hsiu Su
Journal:  Genet Test Mol Biomarkers       Date:  2019-04

5.  Biomarkers in Non-Small Cell Lung Cancers: Indian Consensus Guidelines for Molecular Testing.

Authors:  Kumar Prabhash; Suresh H Advani; Ullas Batra; Bivas Biswas; Anuradha Chougule; Mithua Ghosh; Vamshi Krishna Muddu; T P Sahoo; Ashok K Vaid
Journal:  Adv Ther       Date:  2019-03-12       Impact factor: 3.845

6.  Microfluidic-based solid phase extraction of cell free DNA.

Authors:  Camila D M Campos; Sachindra S T Gamage; Joshua M Jackson; Malgorzata A Witek; Daniel S Park; Michael C Murphy; Andrew K Godwin; Steven A Soper
Journal:  Lab Chip       Date:  2018-11-06       Impact factor: 6.799

Review 7.  The National Cancer Institute Early Detection Research Network: Two Decades of Progress.

Authors:  Robert C Bast; Sudhir Srivastava
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-12       Impact factor: 4.254

Review 8.  When Tissue is an Issue the Liquid Biopsy is Nonissue: A Review.

Authors:  July Rodríguez; Jenny Avila; Christian Rolfo; Alejandro Ruíz-Patiño; Alessandro Russo; Luisa Ricaurte; Camila Ordóñez-Reyes; Oscar Arrieta; Zyanya Lucia Zatarain-Barrón; Gonzalo Recondo; Andrés F Cardona
Journal:  Oncol Ther       Date:  2021-03-10

9.  Bioinformatics analyses of retinoblastoma reveal the retinoblastoma progression subtypes.

Authors:  Manjing Cao; Sha Wang; Jing Zou; Wanpeng Wang
Journal:  PeerJ       Date:  2020-05-21       Impact factor: 2.984

10.  Taqman-MGB nanoPCR for Highly Specific Detection of Single-Base Mutations.

Authors:  Zhenrui Xue; Minli You; Ping Peng; Haoyang Tong; Wanghong He; Ang Li; Ping Mao; Ting Xu; Feng Xu; Chunyan Yao
Journal:  Int J Nanomedicine       Date:  2021-05-28
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