Literature DB >> 27568331

Blood-based biomarkers for monitoring antiangiogenic therapy in non-small cell lung cancer.

Analia Rodríguez Garzotto1, C Vanesa Díaz-García2, Alba Agudo-López2, Elena Prieto García2, Santiago Ponce1, José A López-Martín1,2, Luis Paz-Ares1,2, Lara Iglesias1, M Teresa Agulló-Ortuño3.   

Abstract

Tumor angiogenesis pathways have been identified as important therapeutic targets in non-small cell lung cancer. However, no biomarkers have been described as predictors of response to antiangiogenic therapy in these patients. In this study, plasma levels of VEGF, bFGF, E-selectin, and S-ICAM and gene expression profiles of peripheral blood mononuclear cells from non-small cell lung cancer patients treated with chemotherapy plus bevacizumab were analyzed before and after treatment. Values were correlated with clinicopathological characteristics and treatment response. Plasma factor levels were measured using commercially available ELISA kits. The TaqMan(®) human angiogenesis array was used to investigate the effect of treatment on gene expression profiles. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analysis was performed for differentially expressed genes using WEB-based GEne SeT AnaLysis Toolkit. Our results suggest a benefit for patients with increased plasma levels of VEGF, E-selectin, and S-ICAM in the course of bevacizumab treatment. Also, we identified differentially expressed genes between paired blood samples from patients before and after treatment, and significantly perturbed pathways were predicted. These changes in gene expression and levels of plasma factors could be used to assess the effectiveness of antiangiogenic therapy, in addition to standard clinical and radiological evaluations.

Entities:  

Keywords:  Angiogenesis; Non-small cell lung cancer; Predictive biomarkers

Mesh:

Substances:

Year:  2016        PMID: 27568331     DOI: 10.1007/s12032-016-0824-y

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  39 in total

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9.  WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

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10.  Tumor and endothelial cell-derived microvesicles carry distinct CEACAMs and influence T-cell behavior.

Authors:  Harrison T Muturi; Janine D Dreesen; Elena Nilewski; Holger Jastrow; Bernd Giebel; Suleyman Ergun; Bernhard B Singer
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

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