Literature DB >> 28078044

Tumor profiling of co-regulated receptor tyrosine kinase and chemoresistant genes reveal different targeting options for lung and gastroesophageal cancers.

Jianzhong Wu1, Shuchun Li2, Rong Ma1, Ashok Sharma2, Shan Bai2, Boying Dun2, Haixia Cao1, Changwen Jing1, Jinxiong She2, Jifeng Feng1.   

Abstract

The expression of a number of genes can influence the response rates to chemotherapy while genes encoding receptor tyrosine kinases (RTKs) determine the response to most targeted cancer therapies currently used in clinics. In this study, we evaluated seven genes known to influence chemotherapeutic response (ERCC1, BRCA1, RRM1, TUBB3, STMN1, TYMS, and TOP2A) and five RTKs (EGFR, ERBB2, PDGFRB, VEGFR1 and VEGFR2) in non-small cell lung cancer (NSCLC) and esophagus cancer (EC) and the data are compared to gastric cancer (GC) data reported previously. We demonstrate significant differences in the expression profiles between different cancer types as well as heterogeneity among patients within the same cancer type. In all three cancer types, five chemoresistant genes (TOP2A, STMN1, TYMS, BRCA1 and RRM1) are coordinately up-regulated in almost all EC, approximately 90% of NSCLC and one third of GC patients. Most EC and nearly half of GC patients have increased expression of the three RTKs critical to angiogenesis (PDGFR, VEGFR1 and VEGFR2), while almost none of the NSCLC patients have elevated expression of angiogenic RTKs. A variable percentage of patients in the three cancer types show upregulation of the EGFR family RTKs, EGFR and/or ERBB2. It is of interest to note that approximately 10% of the NSCLC and GC patients are triple-negative for the chemosensitivity genes, angiogenic and EGFR RTK genes. The results suggest significant gene expression differences between different cancer types as well as heterogeneity within each cancer type and therefore different molecules should be targeted for future drug development and clinical trials.

Entities:  

Keywords:  Co-regulation of gene expression; cancer heterogeneity; chemoresistant genes; drug targets; normalization; reference genes

Year:  2016        PMID: 28078044      PMCID: PMC5209524     

Source DB:  PubMed          Journal:  Am J Transl Res            Impact factor:   4.060


  51 in total

Review 1.  Clinical practice. Lung cancer screening.

Authors:  James L Mulshine; Daniel C Sullivan
Journal:  N Engl J Med       Date:  2005-06-30       Impact factor: 91.245

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Authors:  Y Shirota; J Stoehlmacher; J Brabender; Y P Xiong; H Uetake; K D Danenberg; S Groshen; D D Tsao-Wei; P V Danenberg; H J Lenz
Journal:  J Clin Oncol       Date:  2001-12-01       Impact factor: 44.544

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Journal:  Asian Pac J Cancer Prev       Date:  2014

4.  Co-expression of receptor tyrosine kinases in esophageal adenocarcinoma and squamous cell cancer.

Authors:  Ines Gockel; Markus Moehler; Kirsten Frerichs; Daniel Drescher; Tran Tong Trinh; Friedrich Duenschede; Thomas Borschitz; Katrin Schimanski; Stefan Biesterfeld; Kerstin Herzer; Peter R Galle; Hauke Lang; Theodor Junginger; Carl C Schimanski
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Authors:  George Couch; James E Redman; Lorenz Wernisch; Richard Newton; Shalini Malhotra; Sanford M Dawsey; Pierre Lao-Sirieix; Rebecca C Fitzgerald
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Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
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