Literature DB >> 25240504

Treatment algorithm in 2014 for advanced non-small cell lung cancer: therapy selection by tumour histology and molecular biology.

Christian Manegold1.   

Abstract

The availability of antineoplastic monoclonal antibodies, small molecules and newer cytotoxics such as pemetrexed, the EGFR-tyrosine kinase inhibitors erlotinib, gefitinib, afatinib as well as the anti-angiogenic bevacizumab and the ALK-inhibitor crizotinib has recently changes the treatment algorithm of advanced non-small cell lung cancer. Decision making in 2014 is characterized by customizing therapy, by selecting a specific therapeutic regimen based on the histotype and the genotype of the tumour. This refers to first-line induction therapy and maintenance therapy as well, but also to subsequent lines of therapy since anti-neoplastic drugs and regimens used upfront clinically influence the selection of agents/regimes considered for second-/third-line treatment. Consequently, therapy customization through tumour histology and molecular markers has significantly influenced the work of pathologists around the globe and the process of obtaining an extended therapeutically relevant tumour diagnosis. Not only histological sub-typing became standard but molecular information is also considered of increasing importance for treatment selection. Routine molecular testing in certified laboratories must be established, and the diagnostic process should ideally be performed under the guidance of evidence based recommendation. The process of investigating and implementing medical targeting in lung cancer therefore, requires advanced diagnostic techniques and expertise and because of its large dimension is costly and influenced by the limitation of financial and clinical resources.
Copyright © 2014. Published by Elsevier Urban & Partner Sp. z o.o.

Entities:  

Keywords:  Advanced NSCLC; Genotype; Histotype; Treatment individualization

Mesh:

Substances:

Year:  2014        PMID: 25240504     DOI: 10.1016/j.advms.2014.08.008

Source DB:  PubMed          Journal:  Adv Med Sci        ISSN: 1896-1126            Impact factor:   3.287


  7 in total

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  7 in total

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