참고문헌
- Acikgoz A, Ergor G (2013). Compliance with screening recommendations according to breast cancer risk levels in Izmir, Turkey. Asian Pac J Cancer Prev, 14, 1737-42. https://doi.org/10.7314/APJCP.2013.14.3.1737
- Adzhubei IA, Schmidt S, Peshkin L, et al (2010). A method and server for predicting damaging missense mutations. Nat Methods, 7, 248-9. https://doi.org/10.1038/nmeth0410-248
- Aydin Z, Singh A, Bilmes J, Noble WS (2011). Learning sparse models for a dynamic bayesian network classifier of protein secondary structure. BMC Bioinformatics, 12, 154. https://doi.org/10.1186/1471-2105-12-154
- Bensaad K, Tsuruta A, Selak MA, et al (2006). TIGAR, a p53-inducible regulator of glycolysis and apoptosis. Cell, 126, 107-20. https://doi.org/10.1016/j.cell.2006.05.036
- Berger MF, Lawrence MS, Demichelis F, et al (2011). The genomic complexity of primary human prostate cancer. Nature, 470, 214-20. https://doi.org/10.1038/nature09744
- Boyd LK, Mao X, Lu YJ (2012). The complexity of prostate cancer: genomic alterations and heterogeneity. Nat Rev Urol, 9, 652-64. https://doi.org/10.1038/nrurol.2012.185
- Capriotti E, Marti-Renom MA (2010). Quantifying the relationship between sequence and three-dimensional structure conservation in RNA. BMC Bioinformatics, 11, 322. https://doi.org/10.1186/1471-2105-11-322
- Cheng J, Randall AZ, Sweredoski MJ, Baldi P (2005). SCRATCH: a protein structure and structural feature prediction server. Nucleic Acids Res, 33, 72-6.
- Choi Y, Sims GE, Murphy S, Miller JR, Chan AP (2012). Predicting the Functional Effect of Amino Acid Substitutions and Indels. PLoS ONE, 7, 46688. https://doi.org/10.1371/journal.pone.0046688
- Doosti A, Dehkordi PG (2011). The p53 codon 72 polymorphism and association to prostate cancer in Iranian patients. A J Biotechnol, 10, 12821-5. https://doi.org/10.5897/AJB11.1442
- Dumont P, Leu JI, Della PA III, George DL, Murphy M (2003). The codon 72 polymorphic variants of p53 have markedly different apoptotic potential. Nat Genet, 33, 357-65. https://doi.org/10.1038/ng1093
- Eswar N, Marti-Renom Ma, Webb B, et al (2006). Comparative protein structure modeling with MODELLER. Curr Protoc Protein Sci, ps0209s50.
- Henner WD, Evans AJ, Hough KM, et al (2001). Association of codon 72 polymorphism of p53 with lower prostate cancer risk. Prostate, 49, 263-6. https://doi.org/10.1002/pros.10021
- Hirata H, Hinoda Y, Kikuno N, et al (2007). CXCL12 G801A polymorphism is a risk factor for sporadic prostate cancer susceptibility. Clin Cancer Res, 13, 5056-62. https://doi.org/10.1158/1078-0432.CCR-07-0859
- Hu ZH, Lin YW, Xu X, et al (2013). Genetic polymorphisms of glutathione S-transferase M1 and prostate cancer risk in Asians: a meta-analysis of 18 studies. Asian Pac J Cancer Prev, 14, 393-8. https://doi.org/10.7314/APJCP.2013.14.1.393
- Huang SP, Wu WJ, Chang WS, et al (2004). p53 Codon 72 and p21 codon 31 polymorphisms in prostate cancer. Cancer Epidemiol Biomarkers Prev, 13, 2217-24.
- Karimpur-Zahmatkesh A, Farzaneh F, Pouresmaeili F, Hosseini J, Azarghashb E, Yaghoobi M (2013). A2 allele polymorphism of the CYP17 gene and prostate cancer risk in an iranian population. Asian Pac J Cancer Prev, 14, 1049-52. https://doi.org/10.7314/APJCP.2013.14.2.1049
- Khaldi N, Shields DC (2011). Shift in the isoelectric-point of milk proteins as a consequence of adaptive divergence between the milks of mammalian species. Biol Direct, 6, 40. https://doi.org/10.1186/1745-6150-6-40
- Khoo KH, Andreeva A, Fersht AR (2009). Adaptive evolution of p53 thermodynamic stability. J Mol Biol, 393, 161-75. https://doi.org/10.1016/j.jmb.2009.08.013
- Kiraga J, Mackiewicz P, Mackiewicz D, et al (2007). The relationships between the isoelectric point and: length of proteins, taxonomy and ecology of organisms. BMC Genomics, 8, 163. https://doi.org/10.1186/1471-2164-8-163
- Laskowski RA, MacArthur MW, Moss DS, Thornton JM (1993). PROCHECK-a program to check the stereochemical quality of protein structures. J App Cryst, 26, 283-91. https://doi.org/10.1107/S0021889892009944
- Leiros GJ, Galliano SR, Sember ME (2005). Kahn T, Schwarz E, Eiguchi K. Detection of human papillomavirus DNA and p53 codon 72 polymorphism in prostate carcinomas of patients from Argentina. BMC Urol, 5, 15. https://doi.org/10.1186/1471-2490-5-15
- Levine AJ, Oren M (2009). The first 30 years of p53: growing ever more complex. Nat Rev Cancer, 9, 749-58. https://doi.org/10.1038/nrc2723
- Murphy ME (2006). Polymorphic variants in the p53 pathway. Cell Death Differ, 13, 916-20. https://doi.org/10.1038/sj.cdd.4401907
- Nandi S, Mehra N, Lynn AM, Bhattacharya A (2005). Comparison of theoretical proteomes: identification of COGs with conserved and variable pI within the multimodal pI distribution. BMC Genomics, 6, 116. https://doi.org/10.1186/1471-2164-6-116
- Ng PC, Henikoff S (2003). SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res, 31, 3812-4. https://doi.org/10.1093/nar/gkg509
- Quinones LA, Irarrazabal CE, Rojas CR, et al (2006). Joint effect among p53, CYP1A1, GSTM1 polymorphism combinations and smoking on prostate cancer risk: an exploratory genotype-environment interaction study. Asian J Androl, 8, 349-55. https://doi.org/10.1111/j.1745-7262.2006.00135.x
- Reinhardt HC, Schumacher B (2012). The p53 network: cellular and systemic DNA damage responses in aging and cancer. Trends Genet, 28, 128-36. https://doi.org/10.1016/j.tig.2011.12.002
- Reva B, Antipin Y, Sander C (2011). Predicting the functional impact of protein mutations: application to cancer genomics. Nucleic Acids Res, 39, 118.
- Ricks-Santi L, Mason T, Apprey V, et al (2010). p53 Pro72Arg polymorphism and prostate cancer in men of African descent. Prostate, 70, 1739-45.
- Ricks-Santi LJ, Apprey V, Mason T, et al (2012). Identification of genetic risk associated with prostate cancer using ancestry informative markers. Prostate Cancer Prostatic Dis, 15, 359-64. https://doi.org/10.1038/pcan.2012.19
- Rivlin N, Brosh R, Oren M, Rotter V (2011). Mutations in the p53 Tumor Suppressor Gene: important milestones at the various Steps of tumorigenesis. Genes Cancer, 2, 466-74. https://doi.org/10.1177/1947601911408889
- Rogler A, Rogenhofer M, Borchardt A, et al (2011). P53 codon 72 (Arg72Pro) polymorphism and prostate cancer risk: association between disease onset and proline genotype. Pathobiol, 78, 193-200. https://doi.org/10.1159/000326767
- Shi H, Tan SJ, Zhong H, et al (2009). Winter temperature and UV are tightly linked to genetic changes in the p53 tumor suppressor pathway in Eastern Asia. Am J Hum Genet, 84, 534-41. https://doi.org/10.1016/j.ajhg.2009.03.009
- Siegel R, Ward E, Brawley O, Jemal A (2011). Cancer statistics, 2011. CA Cancer J Clin, 61, 212-36. https://doi.org/10.3322/caac.20121
- Suzuki K, Matsui H, Ohtake N, et al (2003). A p53 codon 72 polymorphism associated with prostate cancer development and progression in Japanese. J Biomed Sci, 10, 430-5. https://doi.org/10.1007/BF02256434
- Tafrihi M, Toosi S, Minaei T, et al (2014). Anticancer properties of Teucrium persicum in PC-3 prostate cancer cells. Asian Pac J Cancer Prev, 15, 785-91. https://doi.org/10.7314/APJCP.2014.15.2.785
- Thut CJ, Chen JL, Klemm R, Tjian R (1995). p53 transcriptional activation mediated by coactivators TAFII40 and TAFII60. Science, 267, 100-4. https://doi.org/10.1126/science.7809597
- Waheed R, Khan MH, Bano R, Rashid H (2012). Sequence and structure based assessment of nonsynonymous SNPs in hypertrichosis universalis. Bioinformation, 8, 316-8. https://doi.org/10.6026/97320630008316
- Wang NN, Xu Y, Yang K, et al (2014). Susceptibility loci associations with prostate cancer risk in northern Chinese men. Asian Pac J Cancer Prev, 14, 3075-8. https://doi.org/10.7314/APJCP.2013.14.5.3075
- Wang Z, Eickholt J, Cheng J (2011). APOLLO: A quality assessment service for single and multiple protein models. Bioinformatics, 27, 1715-6. https://doi.org/10.1093/bioinformatics/btr268
- Whibley C, Pharoah PD, Hollstein M (2009). p53 polymorphisms: Cancer implications. Nat Rev Cancer, 9, 95-07. https://doi.org/10.1038/nrc2584
- Wu HC, Chang CH, Chen HY, et al (2004). p53 gene codon 72 polymorphism but not tumor necrosis factor-alpha gene is associated with prostate cancer. Urol Int, 73, 41-6. https://doi.org/10.1159/000078803
- Xu B, Xu Z, Cheng G, et al (2010). Association between polymorphisms of TP53 and MDM2 and prostate cancer risk in southern Chinese. Cancer Genet Cytogenet, 202, 76-81. https://doi.org/10.1016/j.cancergencyto.2010.02.014
- Xu CT, Zheng F, Dai X, et al (2012). Association between TP53 Arg72Pro polymorphism and hepatocellular carcinoma risk: a meta-analysis. Asian Pac J Cancer Prev, 13, 4305-9. https://doi.org/10.7314/APJCP.2012.13.9.4305
- Xu D, Zhang Y (2011). Improving the physical realism and structural accuracy of protein models by a two-step atomic-level energy minimization. Biophysical Journal, 101, 2525-34. https://doi.org/10.1016/j.bpj.2011.10.024
- Zhang H, Xu Y, Zhang Z, Liu R, Ma B (2012). Association between COX-2 rs2745557 polymorphism and prostate cancer risk: a systematic review and meta-analysis. BMC Immunol, 13, 14. https://doi.org/10.1186/1471-2172-13-14
- Zhang LL, Sun L, Zhu XQ, et al (2014). rs10505474 and rs7837328 at 8q24 cumulatively confer risk of prostate cancer in northern Han Chinese. Asian Pac J Cancer Prev, 15, 3129-32. https://doi.org/10.7314/APJCP.2014.15.7.3129
- Zhao CX, Liu M, Wang JY, et al (2014). Association of 8 loci on chromosome 8q24 with prostate carcinoma risk in northern Chinese men. Asian Pac J Cancer Prev, 14, 6733-8. https://doi.org/10.7314/APJCP.2013.14.11.6733
피인용 문헌
- Association of rs1219648 in FGFR2 and rs1042522 in TP53 with Premenopausal Breast Cancer in an Iranian Azeri Population vol.15, pp.18, 2014, https://doi.org/10.7314/APJCP.2014.15.18.7955