Literature DB >> 28381431

Molecular biomarkers for lung adenocarcinoma.

Olivier Calvayrac1, Anne Pradines1,2,3, Elvire Pons1,3, Julien Mazières4,2,5, Nicolas Guibert1,2,5.   

Abstract

The identification of oncogenic driver alterations that underlie sensitivity to small inhibitors has led to growing interest in identifying additional targetable oncogenes in nonsmall cell lung cancer. Although the therapeutic impact of the discovery of these alterations has now been widely demonstrated, the epidemiological data associated with each of these biomarkers remain insufficiently studied. In this review, we discuss the techniques used to discover each of these candidate oncogenes, their prevalence in nonsmall cell lung cancer, and briefly outline the epidemiological features of the major oncogenes and ways in which their identification can determine therapeutic strategies.
Copyright ©ERS 2017.

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Year:  2017        PMID: 28381431     DOI: 10.1183/13993003.01734-2016

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  48 in total

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Journal:  Neuro Oncol       Date:  2022-10-03       Impact factor: 13.029

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4.  An Immune-Related lncRNA Expression Profile to Improve Prognosis Prediction for Lung Adenocarcinoma: From Bioinformatics to Clinical Word.

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5.  Molecular biology tools for precision medicine in managing lung cancer.

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6.  Plasma N-acetylputrescine, cadaverine and 1,3-diaminopropane: potential biomarkers of lung cancer used to evaluate the efficacy of anticancer drugs.

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Journal:  Oncotarget       Date:  2017-07-17

7.  MCTS1 promotes the development of lung adenocarcinoma by regulating E2F1 expression.

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10.  Molecular subtypes based on CNVs related gene signatures identify candidate prognostic biomarkers in lung adenocarcinoma.

Authors:  Baihui Li; Ziqi Huang; Wenwen Yu; Shaochuan Liu; Jian Zhang; Qingqing Wang; Lei Wu; Fan Kou; Lili Yang
Journal:  Neoplasia       Date:  2021-06-14       Impact factor: 5.715

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