Association of FGFR3 and MDM2 gene nucleotide polymorphisms with bone tumors

Bulletin of Experimental Biology and Medicine

Volumn 153, Issue 6, 2012, Pages 870-874

  Naumov, V A ^a   Generozov, E V ^a   Solovyov, Yu N ^b   Aliev, M D ^b   Kushlinsky, N E ^b  

^a FEDERAL BIOMEDICAL AGENCY OF RUSSIA   (Russian Federation)

^b N N BLOKHIN RUSSIAN CANCER RESEARCH CENTER   (Russian Federation)

Author keywords

Chondrosarcoma; FGFR3 and MDM2 genes; Giant cell bone tumor; Osteosarcoma

Indexed keywords

FIBROBLAST GROWTH FACTOR 2; FIBROBLAST GROWTH FACTOR RECEPTOR 3; GENOMIC DNA; PROTEIN MDM2; FGFR3 PROTEIN, HUMAN; MDM2 PROTEIN, HUMAN;

3' UNTRANSLATED REGION; 5' UNTRANSLATED REGION; ADULT; ARTICLE; BONE TUMOR; CANCER RISK; CARCINOGENESIS; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; FIBROBLAST GROWTH FACTOR 2 GENE; GENE; GENE FREQUENCY; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC PREDISPOSITION; GONADOTROPIN RELEASING HORMONE 2 GENE; GROWTH HORMONE 1 GENE; HUMAN; MAJOR CLINICAL STUDY; MALE; MOLECULAR DYNAMICS; OSTEOSARCOMA; SINGLE NUCLEOTIDE POLYMORPHISM; ADOLESCENT; ALLELE; ANIMAL; CASE CONTROL STUDY; CHONDROSARCOMA; GENETICS; MIDDLE AGED; MOUSE; NUCLEOTIDE SEQUENCE; PATHOLOGY; RISK;

3' UNTRANSLATED REGIONS; 5' UNTRANSLATED REGIONS; ADOLESCENT; ADULT; ALLELES; ANIMALS; BONE NEOPLASMS; CASE-CONTROL STUDIES; CHONDROSARCOMA; DNA MUTATIONAL ANALYSIS; FEMALE; GENE FREQUENCY; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MALE; MICE; MIDDLE AGED; ODDS RATIO; OSTEOSARCOMA; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTO-ONCOGENE PROTEINS C-MDM2; RECEPTOR, FIBROBLAST GROWTH FACTOR, TYPE 3;

EID: 84875592448     PISSN: 00074888     EISSN: 15738221     Source Type: Journal    
DOI: 10.1007/s10517-012-1847-9     Document Type: Article

References (14)

1. J. R. Berenson, P. L. Bergsagel, and N. Munshi, Semin. Hematol., 36, No. 1, Suppl. 3, 9-13 (1999).
2. J. V. Bovee, L. J. van den Broek, A. M. Cleton-Jansen, and P. C. Hogendoorn, Lab. Invest., 80, No. 12, 1925-1934 (2000).
3. X. Cai and M. Yang, J. Cancer Res. Clin. Oncol., 138, No. 4, 555-561 (2012).
4. J. R. Gonzalez, L. Armengol, X. Sole, et al., Bioinformatics, 23, No. 5, 644-645 (2007).
5. M. Hirotsu, T. Setoguchi, Y. Matsunoshita, et al., Brit. J. Cancer, 101, No. 12, 2030-2037 (2009).
6. J. H. Jang, Biochem. Biophys. Res. Commun., 292, No. 2, 378-382 (2002).
7. M. Kanehisa and S. Goto, Nucleic Acids Res., 28, No. 1, 27-30 (2000).
8. J. J. Li, A. E. Friedman-Kien, C. Cockerell, et al., J. Cancer Res. Clin. Oncol., 124, No. 5, 259-264 (1998).
9. S. Mejia-Guerrero, M. Quejada, N. Gokgoz, et al., Genes Chro mosomes Cancer, 49, No. 6, 518-525 (2010).
10. L. Mirabello, K. Yu, S. I. Berndt, et al., BMC Cancer, 11, 209 (2011).
11. J. M. Varley, Hum. Mutat., 21, No. 3, 313-320 (2003).
12. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM, New York (2006), P. 935-940.
13. J. R. Quinlan, Mach. Learn., 1, No. 1, 81-106 (1986).
14. The R Development Core Team, A Language and Environment for Statistical Computing. Version 2.11.1.2010.