Literature DB >> 31806240

Meta-analysis of functional expression and mutational analysis of c-Met in various cancers.

Murugesan Sivakumar1, Murugesan Jayakumar2, Palaniappan Seedevi1, Palaniappan Sivasankar1, Muthu Ravikumar1, Sundharaiyya Surendar1, Tamilselvi Murugan3, Shahid S Siddiqui4, Sivakumar Loganathan5.   

Abstract

Comprehensive genomic profiling is expected to revolutionize cancer therapy. c-Met signaling is responsible for tumorigenesis in various cancers. In this prospective, we present the prevalence of c-Met mutations and copy number alterations across various solid tumors. We used major databases like cBioportal, PubMed, and COSMIC for c-Met mutation and amplification data collection from various cancers. Our result shows complete details about c-Met mutation and its clinical data of various cancers. Hotspot mutation of human c-Met protein reveals that repeatedly and most mutated regions and these hotspots may be a diagnostic tool for cancer confirmation. Amino acid and nucleotide changes and their prevalence were reported in a number of individual cancers. However, we collectively present the amino acid and nucleotide changes in various cancers in this review. Our collection of data for c-Met mutation and its distribution in different cancer tissue is showing that the missense mutation is the major one in all type of cancers. Copy number variation data showing amplification and deletion of human c-Met from various tumor types, lung and central nervous system tumors showing high amplification comparatively other types.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MET; Non–small-cell lung cancer; Phosphorylation; Receptor tyrosine kinase

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Year:  2019        PMID: 31806240     DOI: 10.1016/j.currproblcancer.2019.100515

Source DB:  PubMed          Journal:  Curr Probl Cancer        ISSN: 0147-0272            Impact factor:   3.187


  2 in total

1.  The study of direct and indirect effects of radiofrequency ablation on tumor microenvironment in liver tumor animal model.

Authors:  An-Na Jiang; Bing Wang; Song Wang; Kun Zhao; Hao Wu; Kun Yan; Wei Wu; Wei Yang
Journal:  BMC Cancer       Date:  2022-06-17       Impact factor: 4.638

2.  The FAM3C locus that encodes interleukin-like EMT inducer (ILEI) is frequently co-amplified in MET-amplified cancers and contributes to invasiveness.

Authors:  Ulrike Schmidt; Gerwin Heller; Gerald Timelthaler; Petra Heffeter; Zsolt Somodi; Norbert Schweifer; Maria Sibilia; Walter Berger; Agnes Csiszar
Journal:  J Exp Clin Cancer Res       Date:  2021-02-17
  2 in total

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