Linear discriminant functions in connection with the micro-RNA diagnosis of colon cancer

Cancer Informatics

Volumn 11, Issue , 2012, Pages 1-14

  Nikas, Jason B ^a,b   Low, Walter C ^a,b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

Biomarkers; Colon cancer; Diagnostic biomarker models; Global micro RNA expression analysis; ROC supervised linear discriminant analysis; Systems biology

Indexed keywords

MICRORNA;

ARTICLE; BCL10 GENE; CANCER STAGING; CDK6 GENE; COLON CANCER; CONTROLLED STUDY; DIAGNOSTIC VALUE; DISCRIMINANT ANALYSIS; EGR1 GENE; GENE EXPRESSION PROFILING; HUMAN; HUMAN TISSUE; LINEAR DISCRIMINANT ANALYSIS; MAJOR CLINICAL STUDY; RASA1 GENE; RB1 GENE; RECEIVER OPERATING CHARACTERISTIC; REGULATOR GENE; SENSITIVITY AND SPECIFICITY; TP53 GENE; VALIDATION STUDY;

EID: 84856768568     PISSN: None     EISSN: 11769351     Source Type: Journal    
DOI: 10.4137/CIN.S8779     Document Type: Article

References (18)

1. American Cancer Society. Cancer Facts & Figures 2010. Atlanta: American Cancer Society; 2010.
2. Jemal A, Siegel R, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010;60:277-300.
3. Sarver AL, French AJ, Borralho PM, Thayanithy V, Oberg AL, Silverstein KAT, et al. Human colon cancer profiles show differential micro RNA expression depending on mismatch repair status and are characteristic of undifferentiated proliferative states. BMC Cancer. 2009;9:401.
4. Nikas JB, Keene CD, Low WC. Comparison of analytical mathematical approaches for identifying key nuclear magnetic resonance spectroscopy biomarkers in the diagnosis and assessment of clinical change of diseases. Journal of Comparative Neurology. 2010;518:4091-4112.
5. Nikas JB, Low WC. ROC-supervised principal component analysis in connection with the diagnosis of diseases. American Journal of Translational Research. 2011;3(2):180-196.
6. Nikas JB, Low WC. Application of clustering analyses to the diagnosis of Huntington disease in mice and other diseases with well-defined group boundaries. Computer Methods and Programs in Biomedicine. 2011;104(3):e133-e147.
7. Nikas JB, Boylan KLM, Skubitz APN, Low WC. Mathematical Prognostic Biomarker Models for Treatment Response and Survival in Epithelial Ovarian Cancer. Cancer Informatics. 2011;10:233-247.
8. Bandres E, Cubedo E, Agirre X, Malumbres R, Zarate R, Ramirez N, et al. Identification by Real-time PCR of 13 mature micro RNAs differentially expressed in colorectal cancer and non-tumoraltissues. Molecular Cancer. 2006;5:29.
9. Paranjape T, Slack FJ, Weidhaas JB. MicroRNAs: tools for cancer diagnostics. Gut. 2009;58:1546-1554.
10. Kikkawa N, Hanazawa T, Fujimura L, Nohata N, Suzuki H, Chazono H, et al. miR-489 is a tumour-suppressive miRNA target PTPN11 in hypopharyngeal squamous cell carcinoma (HSCC). British Journal of Cancer. 2010;103:877-884.
11. Ozen M, Creighton CJ, Ozdemir M, Ittmann M. Widespread deregulation of microRNA expression in human prostate cancer. Oncogene. 2008;27:1788-1793.
12. Seike M, Goto A, Okano T, Bowman ED, Schetter AJ, Horikawa I, et al. MiR-21 is an EGFR-regulated anti-apoptotic factor in lung cancer in neversmokers. Proc Natl Acad Sci. 2009;106(29):12085-12090.
13. Mostert B, Sieuwerts AM, Martens JW, Sleijfer S. Diagnostic applications of cell-free and circulating tumor cell-associated miRNAs in cancer patients. Expert Rev Mol Diagn. 2011;11(3):259-275.
14. Rani S, O'Brien K, Kelleher FC, Corcoran C, Germano S, Radomski MW, et al. Isolation of exosomes for subsequent mRNA, MicroRNA, and protein profiling. Methods Mol Biol. 2011;784:181-195.
15. Rupp AK, Rupp C, Keller S, Brase JC, Ehehalt R, Fogel M, et al. Loss of EpCAM expression in breast cancer derived serum exosomes: role of proteolytic cleavage. Gynecol Oncol. 2011;122(2):437-446.
16. Mahn R, Heukamp LC, Rogenhofer S, von Ruecker A, Müller SC, Ellinger J. Circulating micro RNAs (miRNA) in serum of patients with prostate cancer. Urology. 2011;77(5):1265.e9-e16.
17. Qu KZ, Zhang K, Li H, Afdhal NH, Albitar M. Circulating microRNAs as biomarkers for hepatocellular carcinoma. J Clin Gastroenterol. 2011; 45(4):355-360.
18. Komatsu S, Ichikawa D, Takeshita H, Tsujiura M, Morimura R, Nagata H, et al. Circulating microRNAs in plasma of patients with oesophageal squamous cell carcinoma. Br J Cancer. 2011;105(1):104-101.