Literature DB >> 21729648

Biomarkers, prediction, and prognosis in non-small-cell lung cancer: a platform for personalized treatment.

Akshay Sudhindra1, Roberto Ochoa, Edgardo S Santos.   

Abstract

In lung cancer, the introduction of targeted agents in those patients who carry a genetic abnormality has resulted in better clinical outcomes with better quality of life. These molecular abnormalities have also become predictive biomarkers. It is imperative that we continue searching for these biomarkers in different tumorigenesis pathways, so we can provide the most appropriate therapy to each individual in the near future. Since the 1980s, chemotherapy for patients with advanced non-small-cell lung cancer has been shown to provide a small improvement in survival. In the early 1990s, platinum-based regimens became the backbone of treatment for this disease. In 2002, the Eastern Cooperative Oncology Group 1594 clinical trial showed that there was no overall survival difference among four common chemotherapy regimens used in non-small-cell lung cancer. It was not until 2006 when the introduction of biologic agents into the field of lung cancer improved, for the first time ever, median overall survival beyond 1 year. To date, we recognize that there are differences between all histologic subtypes of non-small-cell lung cancer in terms of their response to specific agents. All these plus the introduction of molecular medicine have resulted in the identification of markers for prognosis and prediction in lung cancer. In this review, we describe the actual and ongoing clinical efforts to validate the prognostic and predictive value of these potential markers in lung cancer. We hope that the clinical use of biomarkers will help us to deliver personalized medicine to our lung cancer patients by improving their quality of response which may translate into further survival advantage. Copyright Â
© 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21729648     DOI: 10.1016/j.cllc.2011.02.003

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  14 in total

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3.  Improving molecular testing and personalized medicine in non-small-cell lung cancer in Ontario.

Authors:  C Lim; H S Sekhon; J C Cutz; D M Hwang; S Kamel-Reid; R F Carter; G da Cunha Santos; T Waddell; M Binnie; M Patel; N Paul; T Chung; A Brade; R El-Maraghi; C Sit; M S Tsao; N B Leighl
Journal:  Curr Oncol       Date:  2017-04-27       Impact factor: 3.677

4.  Expression pattern of FGFR2, Grb2 and Plcγ1 acts as a novel prognostic marker of recurrence recurrence-free survival in lung adenocarcinoma.

Authors:  Zahra Timsah; Jonathan Berrout; Milind Suraokar; Carmen Behrens; Juhee Song; J Jack Lee; Cristina Ivan; Mihai Gagea; Michael Shires; Xin Hu; Courtney Vallien; Charles V Kingsley; IgnacioI Wistuba; John E Ladbury
Journal:  Am J Cancer Res       Date:  2015-09-15       Impact factor: 6.166

5.  Histologic patterns and molecular characteristics of lung adenocarcinoma associated with clinical outcome.

Authors:  Luisa M Solis; Carmen Behrens; M Gabriela Raso; Heather Y Lin; Humam Kadara; Ping Yuan; Hector Galindo; Ximing Tang; J Jack Lee; Neda Kalhor; Ignacio I Wistuba; Cesar A Moran
Journal:  Cancer       Date:  2011-10-21       Impact factor: 6.860

6.  Increased ZO-1 expression predicts valuable prognosis in non-small cell lung cancer.

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Review 7.  Personalized medicine for targeted and platinum-based chemotherapy of lung and bladder cancer.

Authors:  George D Cimino; Chong-xian Pan; Paul T Henderson
Journal:  Bioanalysis       Date:  2013-02       Impact factor: 2.681

8.  Pathway-based gene signatures predicting clinical outcome of lung adenocarcinoma.

Authors:  Ya-Hsuan Chang; Chung-Ming Chen; Hsuan-Yu Chen; Pan-Chyr Yang
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Journal:  Chin J Cancer       Date:  2015-08-10

10.  Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers.

Authors:  Federica Riccardo; Maddalena Arigoni; Genny Buson; Elisa Zago; Manuela Iezzi; Dario Longo; Matteo Carrara; Alessandra Fiore; Simona Nuzzo; Silvio Bicciato; Patrizia Nanni; Lorena Landuzzi; Federica Cavallo; Raffaele Calogero; Elena Quaglino
Journal:  BMC Genomics       Date:  2014-05-06       Impact factor: 3.969

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