Literature DB >> 21844009

Colorectal cancers with microsatellite instability display unique miRNA profiles.

Francesc Balaguer1, Leticia Moreira, Juan Jose Lozano, Alexander Link, Georgina Ramirez, Yan Shen, Miriam Cuatrecasas, Mildred Arnold, Stephen J Meltzer, Sapna Syngal, Elena Stoffel, Rodrigo Jover, Xavier Llor, Antoni Castells, C Richard Boland, Meritxell Gironella, Ajay Goel.   

Abstract

PURPOSE: microRNAs (miRNA) are small noncoding transcripts that play an important role in carcinogenesis. miRNA expression profiles have been shown to discriminate between different types of cancers. The aim of this study was to analyze global miRNA signatures in various groups of colorectal cancers (CRC) based on the presence of microsatellite instability (MSI). EXPERIMENTAL
DESIGN: We analyzed genome-wide miRNA expression profiles in 54 CRC tissues [22 with Lynch syndrome, 13 with sporadic MSI due to MLH1 methylation, 19 without MSI (or microsatellite stable, MSS)] and 20 normal colonic tissues by miRNA microarrays. Using an independent set of MSI-positive samples (13 with Lynch syndrome and 20 with sporadic MSI), we developed a miRNA-based predictor to differentiate both types of MSI by quantitative reverse transcriptase PCR.
RESULTS: We found that the expression of a subset of nine miRNAs significantly discriminated between tumor and normal colonic mucosa tissues (overall error rate = 0.04). More importantly, Lynch syndrome tumors displayed a unique miRNA profile compared with sporadic MSI tumors; miR-622, miR-1238, and miR-192 were the most differentially expressed miRNAs between these two groups. We developed a miRNA-based predictor capable of differentiating between types of MSI in an independent sample set.
CONCLUSIONS: CRC tissues show distinct miRNA expression profiles compared with normal colonic mucosa. The discovery of unique miRNA expression profiles that can successfully discriminate between Lynch syndrome, sporadic MSI, and sporadic MSS colorectal cancers provides novel insights into the role of miRNAs in colorectal carcinogenesis, which may contribute to the diagnosis, prognosis, and treatment of this disease. ©2011 AACR

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Year:  2011        PMID: 21844009      PMCID: PMC3186834          DOI: 10.1158/1078-0432.CCR-11-1424

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  41 in total

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Authors:  James M Wettenhall; Gordon K Smyth
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

2.  The colorectal microRNAome.

Authors:  Jordan M Cummins; Yiping He; Rebecca J Leary; Ray Pagliarini; Luis A Diaz; Tobias Sjoblom; Omer Barad; Zvi Bentwich; Anna E Szafranska; Emmanuel Labourier; Christopher K Raymond; Brian S Roberts; Hartmut Juhl; Kenneth W Kinzler; Bert Vogelstein; Victor E Velculescu
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-27       Impact factor: 11.205

3.  CpG island methylator phenotype, microsatellite instability, BRAF mutation and clinical outcome in colon cancer.

Authors:  Shuji Ogino; Katsuhiko Nosho; Gregory J Kirkner; Takako Kawasaki; Jeffrey A Meyerhardt; Massimo Loda; Edward L Giovannucci; Charles S Fuchs
Journal:  Gut       Date:  2008-10-02       Impact factor: 23.059

4.  CpG island methylator phenotype in colorectal cancer.

Authors:  M Toyota; N Ahuja; M Ohe-Toyota; J G Herman; S B Baylin; J P Issa
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

Review 5.  A National Cancer Institute Workshop on Microsatellite Instability for cancer detection and familial predisposition: development of international criteria for the determination of microsatellite instability in colorectal cancer.

Authors:  C R Boland; S N Thibodeau; S R Hamilton; D Sidransky; J R Eshleman; R W Burt; S J Meltzer; M A Rodriguez-Bigas; R Fodde; G N Ranzani; S Srivastava
Journal:  Cancer Res       Date:  1998-11-15       Impact factor: 12.701

6.  Reduced accumulation of specific microRNAs in colorectal neoplasia.

Authors:  Michael Z Michael; Susan M O' Connor; Nicholas G van Holst Pellekaan; Graeme P Young; Robert J James
Journal:  Mol Cancer Res       Date:  2003-10       Impact factor: 5.852

7.  MicroRNA expression profiles associated with prognosis and therapeutic outcome in colon adenocarcinoma.

Authors:  Aaron J Schetter; Suet Yi Leung; Jane J Sohn; Krista A Zanetti; Elise D Bowman; Nozomu Yanaihara; Siu Tsan Yuen; Tsun Leung Chan; Dora L W Kwong; Gordon K H Au; Chang-Gong Liu; George A Calin; Carlo M Croce; Curtis C Harris
Journal:  JAMA       Date:  2008-01-30       Impact factor: 56.272

8.  Hypermethylation of the hMLH1 promoter in colon cancer with microsatellite instability.

Authors:  J M Cunningham; E R Christensen; D J Tester; C Y Kim; P C Roche; L J Burgart; S N Thibodeau
Journal:  Cancer Res       Date:  1998-08-01       Impact factor: 12.701

9.  Evaluation of a new high-dimensional miRNA profiling platform.

Authors:  Julie M Cunningham; Ann L Oberg; Pedro M Borralho; Betsy T Kren; Amy J French; Liang Wang; Brian M Bot; Bruce W Morlan; Kevin A T Silverstein; Rod Staggs; Yan Zeng; Anne-Francoise Lamblin; Christopher A Hilker; Jian-Bing Fan; Clifford J Steer; Stephen N Thibodeau
Journal:  BMC Med Genomics       Date:  2009-08-27       Impact factor: 3.063

10.  mRNA/microRNA gene expression profile in microsatellite unstable colorectal cancer.

Authors:  Giovanni Lanza; Manuela Ferracin; Roberta Gafà; Angelo Veronese; Riccardo Spizzo; Flavia Pichiorri; Chang-gong Liu; George A Calin; Carlo M Croce; Massimo Negrini
Journal:  Mol Cancer       Date:  2007-08-23       Impact factor: 27.401

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  48 in total

1.  Micromanaging the classification of colon cancer: the role of the microRNAome.

Authors:  Eduardo Vilar; Josep Tabernero; Stephen B Gruber
Journal:  Clin Cancer Res       Date:  2011-10-21       Impact factor: 12.531

2.  Identification of a metastasis-specific MicroRNA signature in human colorectal cancer.

Authors:  Keun Hur; Yuji Toiyama; Aaron J Schetter; Yoshinaga Okugawa; Curtis C Harris; C Richard Boland; Ajay Goel
Journal:  J Natl Cancer Inst       Date:  2015-02-06       Impact factor: 13.506

3.  Circulating MicroRNAs in Relation to Esophageal Adenocarcinoma Diagnosis and Survival.

Authors:  Jessica L Petrick; Ruth M Pfeiffer; Linda M Liao; Christian C Abnet; Xiaolin Wu; Marilie D Gammon; Thomas L Vaughan; Michael B Cook
Journal:  Dig Dis Sci       Date:  2021-01-06       Impact factor: 3.199

4.  Molecular Biomarkers of Colorectal Cancer and Cancer Disparities: Current Status and Perspective.

Authors:  Upender Manne; Trafina Jadhav; Balananda-Dhurjati Kumar Putcha; Temesgen Samuel; Shivani Soni; Chandrakumar Shanmugam; Esther A Suswam
Journal:  Curr Colorectal Cancer Rep       Date:  2016-09-20

5.  Hsa-miR-137, hsa-miR-520e and hsa-miR-590-3p perform crucial roles in Lynch syndrome.

Authors:  Changyu Zhou; Jiayu Li; Jiarui Li; Yingchun Wan; Tao Li; Piyong Ma; Yingjian Wang; Haiyan Sang
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6.  MicroRNA polymorphisms and risk of colorectal cancer.

Authors:  Stephanie L Schmit; Jeremy Gollub; Michael H Shapero; Shu-Chen Huang; Hedy S Rennert; Andrea Finn; Gad Rennert; Stephen B Gruber
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7.  microRNA-622 acts as a tumor suppressor in hepatocellular carcinoma.

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Journal:  Cancer Biol Ther       Date:  2015       Impact factor: 4.742

Review 8.  How microRNAs influence both hereditary and inflammatory-mediated colon cancers.

Authors:  Jennifer Hutchison; Zoe Cohen; Benjamin C Onyeagucha; Janet Funk; Mark A Nelson
Journal:  Cancer Genet       Date:  2013-09-14

9.  Sox2 and Lef-1 interact with Pitx2 to regulate incisor development and stem cell renewal.

Authors:  Zhao Sun; Wenjie Yu; Maria Sanz Navarro; Mason Sweat; Steven Eliason; Thad Sharp; Huan Liu; Kerstin Seidel; Li Zhang; Myriam Moreno; Thomas Lynch; Nathan E Holton; Laura Rogers; Traci Neff; Michael J Goodheart; Frederic Michon; Ophir D Klein; Yang Chai; Adam Dupuy; John F Engelhardt; Zhi Chen; Brad A Amendt
Journal:  Development       Date:  2016-09-22       Impact factor: 6.868

Review 10.  Epigenetics of colorectal cancer.

Authors:  Ajay Goel; C Richard Boland
Journal:  Gastroenterology       Date:  2012-09-20       Impact factor: 22.682

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