Literature DB >> 24925220

Frameshift mutation of a histone methylation-related gene SETD1B and its regional heterogeneity in gastric and colorectal cancers with high microsatellite instability.

Youn Jin Choi1, Hye Rim Oh1, Mi Ryoung Choi1, Min Gwak1, Chang Hyeok An2, Yeun Jun Chung3, Nam Jin Yoo1, Sug Hyung Lee4.   

Abstract

Histone methyltransferase (HMT), which catalyzes a histone methylation, is frequently altered in cancers at mutation and expression levels. The aims of this study were to explore whether SETD1B, SETDB2, and SETD2, SET domain-containing HMT genes, are mutated and expressionally altered in gastric (GC) and colorectal cancers (CRC). In a public database, we found that SETD1B, SETDB2, and SETD2 had mononucleotide repeats in coding sequences that might be mutation targets in cancers with microsatellite instability (MSI). We analyzed the mutations in 76 GCs and 93 CRCs and found SETD1B (38.7% of GC and 35.6% of CRC with high MSI [MSI-H]), SETDB2 (11.1% of CRC with MSI-H), and SETD2 frameshift mutations (6.7% of CRC with MSI-H). These mutations were not found in stable MSI/low MSI. In addition, we analyzed intratumoral heterogeneity (ITH) of SETD1B mutation in 6 CRCs and found that 2 CRCs harbored regional ITH of SETD1B. We also analyzed SETD1B expression in GC and CRC by immunohistochemistry. Loss of SETD1B expression was identified in 15% to 55% of the GC and CRC with respect to the MSI status. Of note, the loss of expression was more common in those with SETD1B mutations than those with wild-type SETD1B. We identified alterations of SET domain-containing HMT at various levels (frameshift mutations, genetic ITH, and expression loss), which together might play a role in tumorigenesis of GC and CRC with MSI-H. Our data suggest that mutation analysis in multiple regions is needed for a better evaluation of mutation status in CRC with MSI-H.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Heterogeneity; Microsatellite instability; Mutation; SETD1B

Mesh:

Substances:

Year:  2014        PMID: 24925220     DOI: 10.1016/j.humpath.2014.04.013

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  15 in total

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2.  Loss of MLH1 confers resistance to PI3Kβ inhibitors in renal clear cell carcinoma with SETD2 mutation.

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Review 3.  Pathogenic and Therapeutic Role of H3K4 Family of Methylases and Demethylases in Cancers.

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4.  Quantitative Proteomics of the Cancer Cell Line Encyclopedia.

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Journal:  Cell       Date:  2020-01-23       Impact factor: 41.582

5.  Genomic profiling reveals mutational landscape in parathyroid carcinomas.

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Journal:  JCI Insight       Date:  2017-03-23

6.  Review of the development of DNA methylation as a marker of response to neoadjuvant therapy and outcomes in rectal cancer.

Authors:  Jeremy S Williamson; Dean A Harris; John Beynon; Gareth J S Jenkins
Journal:  Clin Epigenetics       Date:  2015-07-22       Impact factor: 6.551

7.  PI3Kβ inhibitor TGX221 selectively inhibits renal cell carcinoma cells with both VHL and SETD2 mutations and links multiple pathways.

Authors:  Chenchen Feng; Yang Sun; Guanxiong Ding; Zhong Wu; Haowen Jiang; Lujia Wang; Qiang Ding; Hui Wen
Journal:  Sci Rep       Date:  2015-04-08       Impact factor: 4.379

8.  Histone Methylation of H3K4 Involved in the Anorexia of Carnivorous Mandarin Fish (Siniperca chuatsi) After Feeding on a Carbohydrate-Rich Diet.

Authors:  Jun-Jie You; Ping Ren; Shan He; Xu-Fang Liang; Qian-Qian Xiao; Yan-Peng Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2020-06-19       Impact factor: 5.555

9.  The H3K4 methyltransferase Setd1b is essential for hematopoietic stem and progenitor cell homeostasis in mice.

Authors:  Kerstin Schmidt; Qinyu Zhang; Alpaslan Tasdogan; Andreas Petzold; Andreas Dahl; Borros M Arneth; Robert Slany; Hans Jörg Fehling; Andrea Kranz; Adrian Francis Stewart; Konstantinos Anastassiadis
Journal:  Elife       Date:  2018-06-19       Impact factor: 8.140

10.  Whole-exome sequencing capture kit biases yield false negative mutation calls in TCGA cohorts.

Authors:  Victor G Wang; Hyunsoo Kim; Jeffrey H Chuang
Journal:  PLoS One       Date:  2018-10-03       Impact factor: 3.240

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