Literature DB >> 28399384

Biomarkers for Selection of Therapy for Adenocarcinoma of the Lung.

Eric H Bernicker1, Ross A Miller1, Phillip T Cagle1.   

Abstract

To suggest that the discovery of targetable driver mutations in many patients with advanced adenocarcinoma of the lung has completely transformed the work-up and therapeutic options for this disease would not be hyperbole. Although not curative, small-molecule tyrosine kinase inhibitors directed at oncogene-addicted tumors have led to significantly improved response rates compared with cytotoxic chemotherapy, with often manageable toxicities and better tolerance. However, the absence of reliable clinical predictors has made molecular testing essential to ensure that patients receive the proper medical management. We outline the many recent advances with regard to diagnosis and treatment of oncogene-addicted advanced nonsquamous non-small-cell lung cancer.

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Year:  2017        PMID: 28399384     DOI: 10.1200/JOP.2016.019182

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  3 in total

1.  Drinking Not Drowning: How to Deal With the Deluge of Potential Predictive Biomarker Approaches in Non-Small-Cell Lung Cancer.

Authors:  D Ross Camidge
Journal:  J Oncol Pract       Date:  2017-04       Impact factor: 3.840

Review 2.  An Update on Predictive Biomarkers for Treatment Selection in Non-Small Cell Lung Cancer.

Authors:  Tamkin Ahmadzada; Steven Kao; Glen Reid; Michael Boyer; Annabelle Mahar; Wendy A Cooper
Journal:  J Clin Med       Date:  2018-06-15       Impact factor: 4.241

3.  Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images.

Authors:  Anne Laure Le Page; Elise Ballot; Caroline Truntzer; Valentin Derangère; Alis Ilie; David Rageot; Frederic Bibeau; Francois Ghiringhelli
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

  3 in total

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