Literature DB >> 20824714

Identification of frequently mutated genes with relevance to nonsense mediated mRNA decay in the high microsatellite instability cancers.

Nara Shin1, Kwon Tae You, Hanna Lee, Won Kyu Kim, Meiying Song, Hee-Jung Choi, Hwanseok Rhee, Suk Woo Nam, Hoguen Kim.   

Abstract

Frameshift mutations at coding mononucleotide repeats (cMNR) are frequent in high-microsatellite instability (MSI-H) cancers. Frameshift mutations in cMNR result in the formation of a premature termination codon (PTC) in the transcribed mRNA, and these abnormal mRNAs are generally degraded by nonsense mediated mRNA decay (NMD). We have identified novel genes that are frequently mutated at their cMNR by blocking NMD in two MSI-H cancer cell lines. After blocking NMD, we screened for differentially expressed genes using DNA microarrays, and then used database analysis to select 28 candidate genes containing cMNR with more than 9 nucleotide repeats. cMNR mutations have not been previously reported in MSI-H cancers for 15 of the 28 genes. We analyzed the cMNR mutation of each of the 15 genes in 10 MSI-H cell lines and 21 MSI-H cancers, and found frequent mutations of 12 genes in MSI-H cell lines and cancers, but not in microsatellite stable (MSS) cancers. Among these genes, the most frequently mutated in MSI-H cell lines were MLL3 (70%), PHACTR4 (70%), RUFY2 (50%) and TBC1D23 (50%). MLL3, which has already been implicated in cancer, had the highest mutation frequency in MSI-H cancers (48%). Our combined approach of NMD block, database search, and mutation analysis has identified a large number of genes mutated in their cMNR in MSI-H cancers. The identified mutations are expected to contribute to MSI-H tumorigenesis by causing an absence of gene expression or low gene dosage effects.
Copyright © 2010 UICC.

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Year:  2010        PMID: 20824714     DOI: 10.1002/ijc.25641

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  14 in total

Review 1.  Illuminating the functional and structural repertoire of human TBC/RABGAPs.

Authors:  Marieke A M Frasa; Katja T Koessmeier; M Reza Ahmadian; Vania M M Braga
Journal:  Nat Rev Mol Cell Biol       Date:  2012-01-18       Impact factor: 94.444

2.  Silencing of TBC1D15 promotes RhoA activation and membrane blebbing.

Authors:  Yuko Takahara; Masao Maeda; Hitoki Hasegawa; Satoko Ito; Toshinori Hyodo; Eri Asano; Masahide Takahashi; Michinari Hamaguchi; Takeshi Senga
Journal:  Mol Cell Biochem       Date:  2013-12-14       Impact factor: 3.396

Review 3.  Examining the impact of gene variants on histone lysine methylation.

Authors:  Capucine Van Rechem; Johnathan R Whetstine
Journal:  Biochim Biophys Acta       Date:  2014-05-23

4.  Classification and characterization of microsatellite instability across 18 cancer types.

Authors:  Ronald J Hause; Colin C Pritchard; Jay Shendure; Stephen J Salipante
Journal:  Nat Med       Date:  2016-10-03       Impact factor: 53.440

5.  The application of nonsense-mediated mRNA decay inhibition to the identification of breast cancer susceptibility genes.

Authors:  Julie K Johnson; Nic Waddell; Georgia Chenevix-Trench
Journal:  BMC Cancer       Date:  2012-06-15       Impact factor: 4.430

6.  Mutated tumor alleles are expressed according to their DNA frequency.

Authors:  John C Castle; Martin Loewer; Sebastian Boegel; Arbel D Tadmor; Valesca Boisguerin; Jos de Graaf; Claudia Paret; Mustafa Diken; Sebastian Kreiter; Özlem Türeci; Ugur Sahin
Journal:  Sci Rep       Date:  2014-04-22       Impact factor: 4.379

7.  OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets.

Authors:  Stephen F Madden; Colin Clarke; Britta Stordal; Mark S Carey; Russell Broaddus; William M Gallagher; John Crown; Gordon B Mills; Bryan T Hennessy
Journal:  Mol Cancer       Date:  2014-10-24       Impact factor: 27.401

8.  Proteomic profile and in silico analysis in metastatic melanoma with and without BRAF mutation.

Authors:  Vito Michele Garrisi; Sabino Strippoli; Simona De Summa; Rosamaria Pinto; Antonella Perrone; Gabriella Guida; Amalia Azzariti; Michele Guida; Stefania Tommasi; Tommasi Stefania
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

9.  Distribution of somatic mutations of cancer-related genes according to microsatellite instability status in Korean gastric cancer.

Authors:  Joonhong Park; Han Mo Yoo; Woori Jang; Soyoung Shin; Myungshin Kim; Yonggoo Kim; Seung-Woo Lee; Jeong Goo Kim
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

10.  Comprehensive genome- and transcriptome-wide analyses of mutations associated with microsatellite instability in Korean gastric cancers.

Authors:  Kwiyeom Yoon; Sunghoon Lee; Tae-Su Han; So Yeon Moon; Sun Mi Yun; Seong-Ho Kong; Sungwoong Jho; Jinny Choe; Jieun Yu; Hyuk-Joon Lee; Ji Hyun Park; Hak-Min Kim; So Yeun Lee; Jongsun Park; Woo-Ho Kim; Jong Bhak; Han-Kwang Yang; Seong-Jin Kim
Journal:  Genome Res       Date:  2013-06-04       Impact factor: 9.043

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