Literature DB >> 24308656

VeriStrat: a prognostic and/or predictive biomarker for advanced lung cancer patients?

Sonia Molina-Pinelo1, María D Pastor, Luis Paz-Ares.   

Abstract

The role of EGF receptor (EGFR) inhibitors in the treatment of lung cancer without activating EGFR mutations has been a controversial issue, particularly their relative efficacy over the available chemotherapy in the second- and third-line setting. VeriStrat is a serum/plasma proteomic test developed using matrix-assisted laser desorption/ionization methodology, aiming at predicting benefit from EGFR treatment. The VeriStrat algorithm has been interrogated retrospectively and prospectively in samples from randomised trials, such as the PROSE study, confirming the prognostic information associated with the signature. In addition, the test appeared to be predictive of erlotinib impact on survival, as only VeriStrat Good patients benefited from such a treatment. Additional studies should confirm and further define its role in predicting EGFR tyrosine kinase inhibitor benefit, and to establish its better use in terms of clinical efficiency identifying which patients are candidates for the test, at which time on the history of the disease, and lastly at what extra cost.

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Year:  2013        PMID: 24308656     DOI: 10.1586/17476348.2014.861744

Source DB:  PubMed          Journal:  Expert Rev Respir Med        ISSN: 1747-6348            Impact factor:   3.772


  6 in total

Review 1.  Mass spectrometry-based serum and plasma peptidome profiling for prediction of treatment outcome in patients with solid malignancies.

Authors:  Mariette Labots; Lisette M Schütte; Johannes C van der Mijn; Thang V Pham; Connie R Jiménez; Henk M W Verheul
Journal:  Oncologist       Date:  2014-09-03

2.  SWOG S0709: Randomized Phase II Trial of Erlotinib versus Erlotinib Plus Carboplatin/Paclitaxel in Patients with Advanced Non-Small Cell Lung Cancer and Impaired Performance Status as Selected by a Serum Proteomics Assay.

Authors:  Primo N Lara; James Moon; Paul J Hesketh; Mary W Redman; Stephen K Williamson; Wallace L Akerley; Fred R Hirsch; Philip C Mack; David R Gandara
Journal:  J Thorac Oncol       Date:  2015-12-25       Impact factor: 15.609

3.  A Novel Strategy to Identify Prognosis-Relevant Gene Sets in Cancers.

Authors:  Junyi Pu; Hui Yu; Yan Guo
Journal:  Genes (Basel)       Date:  2022-05-12       Impact factor: 4.141

Review 4.  [Research Progress of Biomakers Proteomics-based in Lung Cancer].

Authors:  Hui Xie; Zhengang Chen; Guangshun Wang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2015-06

5.  Identification of a Blood-Based Protein Biomarker Panel for Lung Cancer Detection.

Authors:  Victoria El-Khoury; Anna Schritz; Sang-Yoon Kim; Antoine Lesur; Katriina Sertamo; François Bernardin; Konstantinos Petritis; Patrick Pirrotte; Cheryl Selinsky; Jeffrey R Whiteaker; Haizhen Zhang; Jacob J Kennedy; Chenwei Lin; Lik Wee Lee; Ping Yan; Nhan L Tran; Landon J Inge; Khaled Chalabi; Georges Decker; Rolf Bjerkvig; Amanda G Paulovich; Guy Berchem; Yeoun Jin Kim
Journal:  Cancers (Basel)       Date:  2020-06-19       Impact factor: 6.639

6.  The serum-based VeriStrat® test is associated with proinflammatory reactants and clinical outcome in non-small cell lung cancer patients.

Authors:  Mary Jo Fidler; Cristina L Fhied; Joanna Roder; Sanjib Basu; Selina Sayidine; Ibtihaj Fughhi; Mark Pool; Marta Batus; Philip Bonomi; Jeffrey A Borgia
Journal:  BMC Cancer       Date:  2018-03-20       Impact factor: 4.430

  6 in total

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