MicroRNA-10b and minichromosome maintenance complex component 5 gene as prognostic biomarkers in breast cancer

Tumor Biology

Volumn 36, Issue 6, 2015, Pages 4487-4494

  Eissa, Sanaa ^a   Matboli, Marwa ^a   Shehata, Hanan H ^a   Essawy, Nada O E ^b  

^a AIN SHAMS UNIVERSITY   (Egypt)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bioinformatics; Breast cancer; Database; MCM5; miRNA 10b; Prognostic biomarker

Indexed keywords

MESSENGER RNA; MICRORNA 10B; MINICHROMOSOME MAINTENANCE PROTEIN 5; TUMOR MARKER; CELL CYCLE PROTEIN; MCM5 PROTEIN, HUMAN; MICRORNA; MIRN10 MICRORNA, HUMAN;

ADULT; ARTICLE; BREAST CANCER; CANCER PATIENT; CANCER PROGNOSIS; CONTROLLED STUDY; FEMALE; FOLLOW UP; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MIDDLE AGED; OVERALL SURVIVAL; PRIORITY JOURNAL; PROTEIN EXPRESSION; QUANTITATIVE ANALYSIS; REAL TIME POLYMERASE CHAIN REACTION; RECURRENCE FREE SURVIVAL; REGULATORY MECHANISM; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SURVIVAL RATE; AGED; BIOSYNTHESIS; BREAST TUMOR; GENE EXPRESSION REGULATION; GENETICS; KAPLAN MEIER METHOD; LYMPH NODE METASTASIS; PATHOLOGY; PROGNOSIS; TUMOR RECURRENCE;

ADULT; AGED; BREAST NEOPLASMS; CELL CYCLE PROTEINS; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; KAPLAN-MEIER ESTIMATE; LYMPHATIC METASTASIS; MICRORNAS; MIDDLE AGED; NEOPLASM RECURRENCE, LOCAL; PROGNOSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 84938982628     PISSN: 10104283     EISSN: 14230380     Source Type: Journal    
DOI: 10.1007/s13277-015-3090-2     Document Type: Article

References (27)

1. Cava C, Bertoli G, Ripamonti M, Mauri G, Zoppis I, Della Rosa PA, et al. Integration of mRNA expression profile, copy number alterations, and microRNA expression levels in breast cancer to improve grade definition. PLoS One. 2014;9(5):e97681. doi:10.1371/journal.pone.0097681. eCollection 2014.
2. Liu Z, Zhang XS, Zhang S. Breast tumor subgroups reveal diverse clinical prognostic power. Sci Rep. 2014;4:4002. doi:10.1038/srep04002.
3. Ma L, Teruya-Feldstein J, Weinberg RA. Tumour invasion and metastasis initiated by microRNA-10b in breast cancer. Nature. 2007;449:682–8. Note: Erratum: Nature 455: 256 only, 2008.
4. Zhang JJ, Zhao Y, Chait BT, Lathem WW, Ritzi M, Knippers R, Darnell JE. Ser727-dependent recruitment of MCM5 by Stat1alpha in IFN-gamma-induced transcriptional activation. EMBO J. 1998.
5. Garzon R, Marcucci G, Croce CM. Targeting microRNAs in cancer: rationale, strategies and challenges. Nat Rev Drug Discov. 2010;9(10):775–89. doi:10.1038/nrd3179.
6. Negrini M, Ferracin M, Sabbioni S, Croce CM. MicroRNAs in humancancer: from research to therapy. J Cell Sci. 2007;120:1833–40.
7. Ben-Hamo R, Efroni S. MicroRNA-gene association as a prognostic biomarker in cancer exposes disease mechanisms. PLoSComput Biol. 2013;9(11):e1003351. doi:10.1371/journal.pcbi.1003351.
8. Pinder SE, Elston CW, Ellis IO. Invasive carcinoma: usual histological types. In: Elston CW, Ellis IO, editors. The Breast. 3rd ed. Edinburgh: Churchill Livingstone; 1998. p. 283–337.
9. Sobin L, Gospodarowicz M, Wittekind C, editors. TNM classification of malignant tumors. 7th ed. Hoboken: John Wiley & Sons, Inc.; 2009.
10. World Health Organization. International histological classification of tumours. 2nd ed. Geneva: World Health Organization, 1969–1981; Berlin: Springer-Verlag, 1988–Present.
11. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta deltaC(T)) method. Methods. 2001;25:402–8.
12. Paraskevopoulou MD, Georgakilas G, Kostoulas N, Vlachos IS, Vergoulis T, Reczko M, Filippidis C, Dalamagas T, Hatzigeorgiou AG. DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows. Nucleic Acids Res. 2013 Jul;41(Web Server issue):W169-73. Available at http://diana.cslab.ece.ntua.gr/pathways/ 2013.
13. Smith SD, Wheeler MA, Plescia J, Colberg JW, Weiss RM, Altieri DC. Urine detection of survivin and diagnosis of breast cancer. JAMA J. 2001;285(3):324–8.
14. Meadus WJ. A semi-quantitative RT-PCR method to measure the in vivo effect of dietary conjugated linoleic acid on porcine muscle PPAR gene expression. Biol Proced Online. 2003;5:20.
15. Hayes DF, Isaacs C, Stearns V. Prognostic factors in breast cancer: current and new predictors of metastasis. Journal of Mammary Gland Biology and Neoplasia. 2009;6(4):375–92.
16. Eo HS, Heo JY, Choi Y, Hwang Y, Choi HS. A pathway-based classification of breast cancer integrating data on differentially expressed genes, copy number variations and microRNA target genes. Molecules and Cells. 2012;34(4):393–8.
17. Adam L, Zhong M, Choi W, Qi W, Nicoloso M, Arora A, et al. Clin Cancer Res. 2009;15:5060–72.
18. Negrini M, Calin GA. Breast cancer metastasis: a microRNA story. Breast Cancer Res. 2008;10:203.
19. Haque I, Banerjee S, Mehta S, De A, Majumder M, Mayo MS, et al. Cysteine-rich 61-connective tissue growth factor-nephroblastoma-overexpressed 5 (CCN5)/Wnt-1-induced signaling protein-2 (WISP-2) regulates microRNA-10b via hypoxia-inducible factor-1α-TWIST signaling networks in human breast cancer cells. J Biol Chem. 2011;286(50):43475–85. doi:10.1074/jbc.M111.284158.
20. Ma L, Reinhardt F, Pan E, Soutschek J, Bhat B, Marcusson EG, et al. Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor model. Nat Biotechnol. 2010;28:341–7.
21. Chen W, Cai F, Zhang B, Barekati Z, Zhong XY. The level of circulating miRNA-10b and miRNA-373 in detecting lymph node metastasis of breast cancer: potential biomarkers. Tumour Biol. 2013;34(1):455–62. doi:10.1007/s13277-012-0570-5.
22. Quinn CM, Wright NA. The clinical assessment of proliferation and growth in human tumours: evaluation of methods and applications as prognostic variables. J Pathol. 1990;160:93–102.
23. Stoeber K, Tlsty TD, Happerfield L, Thomas GA, Romanov S, Bobrow L, et al. DNA replication licensing and human cell proliferation. J Cell Sci. 2001;114(Pt 11):2027–41.
24. Freeman A, Morris LS, Mills AD, Stoeber K, Laskey RA, Williams GH, et al. Minichromosome maintenance proteins as biological markers of dysplasia and malignancy. Clin Cancer Res. 1999;5:2121–32.
25. Del Pino M, Svanholm-Barrie C, Torné A, Marimon L, Gaber J, Sagasta A, et al. mRNA biomarker detection in liquid-based cytology: a new approach in the prevention of cervical cancer. Mod Pathol. 2014. doi:10.1038/modpathol.2014.106.
26. de Wit M, Kant H, Piersma SR, Pham TV, Mongera S, van Berkel MP, et al. Colorectal cancer candidate biomarkers identified by tissue secretome proteome profiling. J Proteomics. 2014;99:26–39. doi:10.1016/j.jprot.2014.01.001.
27. Place RF, Li LC, Pookot D, Noonan EJ, Dahiya R. MicroRNA-373 induces expression of genes with complementary promoter sequences. Proc Natl Acad Sci U S A. 2008;105(5):1608–13. doi:10.1073/pnas.0707594105.