A Novel Serum 4-microRNA Signature for Lung Cancer Detection

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Nadal, Ernest ^a,b   Truini, Anna ^a,c   Nakata, Asuka ^d   Lin, Jules ^a   Reddy, Rishindra M ^a   Chang, Andrew C ^a   Ramnath, Nithya ^a   Gotoh, Noriko ^d   Beer, David G ^a   Chen, Guoan ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b CATALAN INSTITUTE OF ONCOLOGY   (Spain)

^c UNIVERSITY OF GENOA   (Italy)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; TUMOR MARKER;

AGED; BLOOD; CARCINOMA, NON-SMALL-CELL LUNG; CLASSIFICATION; FEMALE; GENETICS; HUMAN; LUNG NEOPLASMS; MALE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; BIOMARKERS, TUMOR; CARCINOMA, NON-SMALL-CELL LUNG; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MICRORNAS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84937887134     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep12464     Document Type: Article

References (27)

1. Siegel, R., Ma, J., Zou, Z. , Jemal, A. Cancer statistics, 2014. CA Cancer J Clin 64, 9-29 (2014).
2. National Lung Screening Trial Research, T. et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365, 395-409 (2011).
3. National Lung Screening Trial Research, T. et al. Results of initial low-dose computed tomographic screening for lung cancer. N Engl J Med 368, 1980-1991 (2013).
4. Schwarzenbach, H., Nishida, N., Calin, G. A. , Pantel, K. Clinical rele-ance of circulating cell-free microRNAs in cancer. Nat Re-Clin Oncol 11, 145-156 (2014).
5. Lu, J. et al. MicroRNA expression profiles classify human cancers. Nature 435, 834-838 (2005).
6. Calin, G. A. , Croce, C. M. MicroRNA signatures in human cancers. Nat Re-Cancer 6, 857-866 (2006).
7. Rosenfeld, N. et al. MicroRNAs accurately identify cancer tissue origin. Nat Biotechnol 26, 462-469 (2008).
8. Mitchell, P. S. et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA 105, 10513-10518 (2008).
9. Chen, X. et al. Characterization of microRNAs in serum: a no-el class of biomarkers for diagnosis of cancer and other diseases. Cell Res 18, 997-1006 (2008).
10. Raponi, M. et al. MicroRNA classifiers for predicting prognosis of squamous cell lung cancer. Cancer Res 69, 5776-5783 (2009).
11. Esquela-Kerscher, A. , Slack, F. J. Oncomirs-microRNAs with a role in cancer. Nat Re-Cancer 6, 259-269 (2006).
12. Hammond, S. M. MicroRNAs as tumor suppressors. Nat Genet 39, 582-583 (2007).
13. Boeri, M. et al. MicroRNA signatures in tissues and plasma predict de-elopment and prognosis of computed tomography detected lung cancer. Proc Natl Acad Sci USA 108, 3713-3718 (2011).
14. Sozzi, G. et al. Clinical utility of a plasma-based miRNA signature classifier within computed tomography lung cancer screening: a correlati-e MILD trial study. J Clin Oncol 32, 768-773 (2014).
15. Nadal, E. et al. A MicroRNA cluster at 14q32 dri-es aggressi-e lung adenocarcinoma. Clin Cancer Res 20, 3107-3117.
16. Ha, T. Y. The Role of MicroRNAs in Regulatory T Cells and in the Immune Response. Immune Netw 11, 11-41 (2011).
17. Pritchard, C. C. et al. Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies. Cancer Pre-Res (Phila) 5, 492-497 (2012).
18. Chan, M. et al. Identification of circulating microRNA signatures for breast cancer detection. Clin Cancer Res 19, 4477-4487.
19. Li, A. et al. Pancreatic cancers epigenetically silence SIP1 and hypomethylate and o-erexpress miR-200a/200b in association with ele-ated circulating miR-200a and miR-200b le-els. Cancer Res 70, 5226-5237.
20. Sil-a, J. et al.-esicle-related microRNAs in plasma of nonsmall cell lung cancer patients and correlation with sur-i-al. Eur Respir J 37, 617-623.
21. Goldstraw, P. et al. The IASLC Lung Cancer Staging Project: Proposals for the re-ision of the TNM stage groupings in the forthcoming (se-enth) edition of the TNM Classification of malignant tumours. J Thorac Oncol 2, 706-714 (2007).
22. Director's Challenge Consortium for the Molecular Classification of Lung, A. et al. Gene expression-based sur-i-al prediction in lung adenocarcinoma: a multi-site, blinded-alidation study. Nat Med 14, 822-827 (2008).
23. Li-ak, K. J. , Schmittgen, T. D. Analysis of relati-e gene expression data using real-time quantitati-e PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402-408 (2001).
24. Hochberg, Y. , Benjamini, Y. More powerful procedures for multiple significance testing. Stat Med 9, 811-818 (1990).
25. de Hoon, M. J., Imoto, S., Nolan, J. , Miyano, S. Open source clustering software. Bioinformatics 20, 1453-1454 (2004).
26. Eisen, M. B., Spellman, P. T., Brown, P. O. , Botstein, D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95, 14863-14868 (1998).
27. Papadopoulos, G. L., Alexiou, P., Maragkakis, M., Reczko, M. , Hatzigeorgiou, A. G. DIANA-mirPath: Integrating human and mouse microRNAs in pathways. Bioinformatics 25, 1991-1993 (2009).