A microRNA panel to discriminate carcinomas from high-grade intraepithelial neoplasms in colonoscopy biopsy tissue

Gut

Volumn 62, Issue 2, 2013, Pages 280-289

  Wang, Shuyang ^a   Wang, Lei ^a   Bayaxi, Nayima ^a   Li, Jian ^b   Verhaegh, Wim ^b   Janevski, Angel ^b   Varadan, Vinay ^b   Ren, Yiping ^b   Merkle, Dennis ^b   Meng, Xianxin ^c   Gao, Xue ^a   Wang, Huijun ^a   Ren, Jiaqiang ^d   Kuo, Winston Patrick ^e   Dimitrova, Nevenka ^b   Wu, Ying ^a,b   Zhu, Hongguang ^a,f  

^a FUDAN UNIVERSITY   (China)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c Shanghai Biochip Co Ltd   (China)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

^e HARVARD SCHOOL OF DENTAL MEDICINE   (United States)

^f FUDAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; MICRORNA 375; MIR 424; MIR 92A; UNCLASSIFIED DRUG;

ADULT; AGED; ARTICLE; CARCINOMA IN SITU; CLASSIFIER; COLON BIOPSY; COLONOSCOPY; COLORECTAL ADENOMA; COLORECTAL CARCINOMA; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; FEMALE; HIGH GRADE INTRAEPITHELIAL NEOPLASM; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL;

ADENOMA; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BIOPSY; CARCINOMA IN SITU; CLUSTER ANALYSIS; COHORT STUDIES; COLONOSCOPY; COLORECTAL NEOPLASMS; DIAGNOSIS, DIFFERENTIAL; FEMALE; GENE EXPRESSION; HUMANS; LASER CAPTURE MICRODISSECTION; LOGISTIC MODELS; MALE; MICROARRAY ANALYSIS; MICRORNAS; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; TUMOR MARKERS, BIOLOGICAL; YOUNG ADULT;

EID: 84872080490     PISSN: 00175749     EISSN: 14683288     Source Type: Journal    
DOI: 10.1136/gutjnl-2011-301554     Document Type: Article

References (31)

1. Hamilton SR, Aaltonen LA. World Health Organization Classification of Tumors. Tumours of the Colon and Rectum. Pathology and Genetics of Tumours of Digestive System . Lyon: IARC Press, 2003:103-42.
2. Shi Y, Zong X, Wang Y, et al. Clinical and pathological characteristics of high-grade colorectal intraepithelial neoplastic changes and its surgical treatment (with a report on 83 cases). China Oncol 2004;14:406-11.
3. Tjandra JJ, Kilkenny JW, Buie WD, et al. Practice parameters for the management of rectal cancer (revised). Dis Colon Rectum 2005;48:411-23. (Pubitemid 40767859)
4. Schepeler T, Reinert JT, Ostenfeld MS, et al. Diagnostic and prognostic microRNAs in stage II colon cancer. Cancer Res 2008;68:6416-24.
5. Schetter AJ, Leung SY, Sohn JJ, et al. MicroRNA expression profiles associated with prognosis and therapeutic outcome in colon adenocarcinoma. JAMA 2008;299:425-36. (Pubitemid 351185951)
6. Wang S, Wang L, Zhu T, et al. Improvement of tissue preparation for laser capture microdissection: application for cell type-specific miRNA expression profiling incolorectal tumor. BMC Genomics 2010;11:163.
7. Benjamini Y, Hochberg Y. Controlling the false discovery rate - a practical and powerful approach to multiple testing. J R Stat Soc B 1995;57:289-300.
8. Tibshirani R, Hastie T, Narasimhan B, et al. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci U S A 2002;99:6567-72. (Pubitemid 34526173)
9. Schaffer JD, Janevski A, Simpson MR. A genetic algorithm Ap-proach for discovering diagnostic patterns in molecular measurement data. Computational Intelligence in Bioinformatics and Computational Biology 2005:1-8.
10. Wessels LF, Reinders MJ, Hart AA, et al. A protocol for building and evaluating predictors of disease state based on microarray data. Bioinformatics 2006;21:3755-62. (Pubitemid 41535524)
11. Tibshirani R, Hastie T, Narasimhan B, et al. Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Stat Sci 2003;18:104-17. (Pubitemid 41461824)
12. Delong ER, Delong DM, Clarkepearson DI. Comparing the areas under 2 or more correlated receiver operating characteristic curves - a nonparametric approach. Biometrics 1988;44:837-45.
13. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148:839-43. (Pubitemid 13033817)
14. Luo X, Burwinkel B, Tao S, et al. MicroRNA signatures: novel biomarker for colorectal cancer? Cancer Epidemiol Biomarkers Prev 2011;20:1272-86.
15. Thompson RC, Deo M, Turner DL. Analysis of microRNA expression by in situ hybridization with RNA oligonucleotide probes. Methods 2007;43:153-61. (Pubitemid 47419362)
16. Obernosterer G, Martinez J, Alenius M. Locked nucleic acid-based in situ detection of microRNAs in mouse tissue sections. Nat Protoc 2007;2:1508-14. (Pubitemid 46952329)
17. Pena JT, Sohn-Lee C, Rouhanifard SH, et al. miRNA in situ hybridization in formaldehyde and EDC-fixed tissues. Nat Methods 2009;6:139-41.
18. Compton CC, Greene FL. The staging of colorectal cancer: 2004 and beyond. CA Cancer J Clin 2004;54:295-308. (Pubitemid 40073988)
19. Poy MN, Eliasson L, Krutzfeldt J, et al. A pancreatic islet-specific microRNA regulates insulin secretion. Nature 2004;432:226-30. (Pubitemid 39545853)
20. Avnit-Sagi T, Kantorovich L, Kredo-Russo S, et al. The promoter of the pri-miR-375 gene directs expression selectively to the endocrine pancreas. PLoS One 2009;4:e5033.
21. Kloosterman WP, Lagendijk AK, Ketting RF, et al. Targeted inhibition of miRNA maturation with morpholinos reveals a role for miR-375 in pancreatic islet development. PLoS One 2007;5:e203.
22. Joglekar MV, Joglekar VM, Hardikar AA. Expression of islet-specific microRNAs during human pancreatic development. Gene Expr Patterns 2009;9:109-13.
23. Tsukamoto Y, Nakada C, Noguchi T, et al. MicroRNA-375 is downregulated in gastric carcinomas and regulates cell survival by targeting PDK1 and 14-3-3ζ. Cancer Res 2010;70:2339-49.
24. Bonauer A, Carmona G, Iwasaki M, et al. MicroRNA-92a controls angiogenesis and functional recovery of ischemic tissues in mice. Science 2009;26:1710-13.
25. Huang Z, Huang D, Ni S, et al. Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer. Int J Cancer 2010;1:118-26.
26. Chamorro-Jorganes A, Araldi E, Penalva LO, et al. MicroRNA-16 and microRNA-424 regulate cell-autonomous angiogenic functions in endothelial cells via targeting vascular endothelial growth factor receptor-2 and fibroblast growth factor receptor-1. Arterioscler Thromb Vasc Biol 2011;31:2595-606.
27. Nakashima T, Jinnin M, Etoh T, et al. Down-regulation of mir-424 contributes to the abnormal angiogenesis via MEK1 and cyclin E1 in senile hemangioma: its implications to therapy. PLoS One 2010;5:e14334.
28. Kim S, Choi M, Cho KH. Identifying the target mRNAs of microRNAs in colorectal cancer. Comput Biol Chem 2009;33:94-9. (Pubitemid 50248861)
29. Wang YP, Li KB. Correlation of expression profiles between microRNAs and mRNA targets using NCI-60 data. BMC Genomics 2009;10:218.
30. Vasudevan S, Tong Y, Steitz JA. Switching from repression to activation: microRNAs can up-regulate translation. Science 2007;318:1931-4.
31. Nunez-Iglesias J, Liu CC, Morgan TE, et al. Joint genome-wide profiling of miRNA and mRNA expression in Alzheimer's disease cortex reveals altered miRNA regulation. PLoS One 2010;5:e8898.