Analysis of circulating microRNA biomarkers for breast cancer detection: a meta-analysis

Tumor Biology

Volumn 35, Issue 12, 2014, Pages 12245-12253

  Liu, Lihua ^a   Wang, Shan ^b   Cao, Xiutang ^a   Liu, Jianchao ^a  

^a CHINESE PLA GENERAL HOSPITAL   (China)

^b PEKING UNION MEDICAL COLLEGE   (China)

Author keywords

Breast cancer; Circulating; Diagnosis; Meta analysis; MicroRNAs

Indexed keywords

MICRORNA; TUMOR MARKER;

AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CANCER DIAGNOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; HUMAN; META ANALYSIS; PRIORITY JOURNAL; QUALITY CONTROL; RECEIVER OPERATING CHARACTERISTIC; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SENSITIVITY AND SPECIFICITY; BLOOD; BREAST NEOPLASMS; FEMALE; GENETICS; PUBLISHING; REPRODUCIBILITY;

BREAST NEOPLASMS; FEMALE; HUMANS; MICRORNAS; PUBLICATION BIAS; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 84925286011     PISSN: 10104283     EISSN: 14230380     Source Type: Journal    
DOI: 10.1007/s13277-014-2533-5     Document Type: Article

References (39)

1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi:10.3322/caac.20107.
2. Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA Cancer J Clin. 2014;64:9–29. doi:10.3322/caac.21208.
3. Muller A, Homey B, Soto H, Ge N, Catron D, Buchanan ME, et al. Involvement of chemokine receptors in breast cancer metastasis. Nature. 2001;410:50–6. doi:10.1038/35065016.
4. Cuk K, Zucknick M, Heil J, Madhavan D, Schott S, Turchinovich A, et al. Circulating microRNAs in plasma as early detection markers for breast cancer. Int J Cancer. 2013;132:1602–12. doi:10.1002/ijc.27799.
5. Tertov VV, Orekhov AN, Smirnov VN. Effect of cyclic AMP on lipid accumulation and metabolism in human atherosclerotic aortic cells. Atherosclerosis. 1986;62:55–64.
6. Fassan M, Volinia S, Palatini J, Pizzi M, Baffa R, De Bernard M, et al. MicroRNA expression profiling in human Barrett’s carcinogenesis. Int J Cancer. 2011;129:1661–70. doi:10.1002/ijc.25823.
7. Heneghan HM, Miller N, Kelly R, Newell J, Kerin MJ. Systemic miRNA-195 differentiates breast cancer from other malignancies and is a potential biomarker for detecting noninvasive and early stage disease. Oncologist. 2010;15:673–82. doi:10.1634/theoncologist.2010-0103.
8. Calin GA, Dumitru CD, Shimizu M, Bichi R, Zupo S, Noch E, et al. Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A. 2002;99:15524–9. doi:10.1073/pnas.242606799.
9. Iorio MV, Ferracin M, Liu CG, Veronese A, Spizzo R, Sabbioni S, et al. MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 2005;65:7065–70. doi:10.1158/0008-5472.CAN-05-1783.
10. Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA expression profiles classify human cancers. Nature. 2005;435:834–8. doi:10.1038/nature03702.
11. Zhao H, Shen J, Medico L, Wang D, Ambrosone CB, Liu S. A pilot study of circulating miRNAs as potential biomarkers of early stage breast cancer. PLoS One. 2010;5:e13735. doi:10.1371/journal.pone.0013735.
12. Sun Y, Wang M, Lin G, Sun S, Li X, Qi J, et al. Serum microRNA-155 as a potential biomarker to track disease in breast cancer. PLoS One. 2012;7:e47003. doi:10.1371/journal.pone.0047003.
13. Eichelser C, Flesch-Janys D, Chang-Claude J, Pantel K, Schwarzenbach H. Deregulated serum concentrations of circulating cell-free microRNAs miR-17, miR-34a, miR-155, and miR-373 in human breast cancer development and progression. Clin Chem. 2013;59:1489–96. doi:10.1373/clinchem.2013.205161.
14. Zeng RC, Zhang W, Yan XQ, Ye ZQ, Chen ED, Huang DP, et al. Down-regulation of miRNA-30a in human plasma is a novel marker for breast cancer. Med Oncol. 2013;30:477. doi:10.1007/s12032-013-0477-z.
15. Mar-Aguilar F, Mendoza-Ramirez JA, Malagon-Santiago I, Espino-Silva PK, Santuario-Facio SK, Ruiz-Flores P, et al. Serum circulating microRNA profiling for identification of potential breast cancer biomarkers. Dis Markers. 2013;34:163–9. doi:10.3233/dma-120957.
16. Gao J, Zhang Q, Xu J, Guo L, Li X. Clinical significance of serum miR-21 in breast cancer compared with CA153 and CEA. Chin J Cancer Res. 2013;25:743–8. doi:10.3978/j.issn.1000-9604.2013.12.04.
17. Asaga S, Kuo C, Nguyen T, Terpenning M, Giuliano AE, Hoon DS. Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin Chem. 2011;57:84–91. doi:10.1373/clinchem.2010.151845.
18. Barker 2nd FG, Carter BS. Synthesizing medical evidence: systematic reviews and metaanalyses. Neurosurg Focus. 2005;19:E5.
19. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–36. doi:10.7326/0003-4819-155-8-201110180-00009.
20. Mitchell AJ, Vaze A, Rao S. Clinical diagnosis of depression in primary care: a meta-analysis. Lancet. 2009;374:609–19. doi:10.1016/S0140-6736(09)60879-5.
21. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60. doi:10.1136/bmj.327.7414.557.
22. Dinnes J, Deeks J, Kirby J, Roderick P. A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy. Health Technol Assess. 2005;9:1–113. iii.
23. Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol. 2005;58:882–93. doi:10.1016/j.jclinepi.2005.01.016.
24. Heneghan HM, Miller N, Lowery AJ, Sweeney KJ, Newell J, Kerin MJ. Circulating microRNAs as novel minimally invasive biomarkers for breast cancer. Ann Surg. 2010;251:499–505. doi:10.1097/SLA.0b013e3181cc939f.
25. Guo LJ, Zhang QY. Decreased serum miR-181a is a potential new tool for breast cancer screening. Int J Mol Med. 2012;30:680–6. doi:10.3892/ijmm.2012.1021.
26. Hu Z, Dong J, Wang LE, Ma H, Liu J, Zhao Y, et al. Serum microRNA profiling and breast cancer risk: the use of miR-484/191 as endogenous controls. Carcinogenesis. 2012;33:828–34. doi:10.1093/carcin/bgs030.
27. Madhavan D, Zucknick M, Wallwiener M, Cuk K, Modugno C, Scharpff M, et al. Circulating miRNAs as surrogate markers for circulating tumor cells and prognostic markers in metastatic breast cancer. Clin Cancer Res. 2012;18:5972–82. doi:10.1158/1078-0432.ccr-12-1407.
28. Schrauder MG, Strick R, Schulz-Wendtland R, Strissel PL, Kahmann L, Loehberg CR, et al. Circulating micro-RNAs as potential blood-based markers for early stage breast cancer detection. PLoS One. 2012;7:e29770. doi:10.1371/journal.pone.0029770.
29. Wang B, Zhang Q. The expression and clinical significance of circulating microRNA-21 in serum of five solid tumors. J Cancer Res Clin Oncol. 2012;138:1659–66. doi:10.1007/s00432-012-1244-9.
30. Wu Q, Wang C, Lu Z, Guo L, Ge Q. Analysis of serum genome-wide microRNAs for breast cancer detection. Clin Chim Acta. 2012;413:1058–65. doi:10.1016/j.cca.2012.02.016.
31. Ng EK, Li R, Shin VY, Jin HC, Leung CP, Ma ES, et al. Circulating microRNAs as specific biomarkers for breast cancer detection. PLoS One. 2013;8:e53141. doi:10.1371/journal.pone.0053141.
32. McDermott AM, Miller N, Wall D, Martyn LM, Ball G, Sweeney KJ, et al. Identification and validation of oncologic miRNA biomarkers for luminal a-like breast cancer. PLoS One. 2014;9:e87032. doi:10.1371/journal.pone.0087032.
33. Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin. 2005;55:74–108.
34. Yang L, Parkin DM, Ferlay J, Li L, Chen Y. Estimates of cancer incidence in China for 2000 and projections for 2005. Cancer Epidemiol Biomarkers Prev. 2005;14:243–50.
35. Duffy MJ. Role of tumor markers in patients with solid cancers: a critical review. Eur J Intern Med. 2007;18:175–84. doi:10.1016/j.ejim.2006.12.001.
36. Roulston JE. Limitations of tumour markers in screening. Br J Surg. 1990;77:961–2.
37. Jones CM, Athanasiou T. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann Thorac Surg. 2005;79:16–20. doi:10.1016/j.athoracsur.2004.09.040.
38. Glas AS, Lijmer JG, Prins MH, Bonsel GJ, Bossuyt PM. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol. 2003;56:1129–35.
39. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31. doi:10.1186/1471-2288-6-31.