Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P04637 (p53)
 77,613 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Polymorphisms in phase I and phase II enzymes may enhance the occurrence of mutations at critical tumor suppressor genes, such as p53, and increase breast cancer risk by either increasing the activation or detoxification of carcinogens and/or endogenous estrogens. We analyzed polymorphisms in CYP1B1, GSTM1, GSTT1, and GSTP1 and p53 mutations in 323 breast tumor samples. Approximately 11% of patients exhibited mutations in p53. Women with mutations had a significantly younger age of diagnosis (P = 0.01) and a greater incidence of tumors classified as stage II or higher (P = 0.002). More women with mutations had a history of smoking (55%) compared to women without mutations (39%). Although none of the genotypes alone were associated with p53 mutations, positive smoking history was associated with p53 mutations in women with the GSTM1 null allele [OR = 3.54; 95% CI = 0.97-12.90 P = 0.06] compared to women with the wild-type genotype and smoking history [OR = 0.62, 95% CI = 0.19-2.07], although this association did not reach statistical significance. To test for gene-gene interactions, our exploratory analysis in the Caucasian cases suggested that individuals with the combined GSTP1 105 VV, CYP1B1 432 LV/VV, and GSTM1 positive genotype were more likely to harbor mutations in p53 [OR = 4.94; 95% CI = 1.11-22.06]. Our results suggest that gene-smoking and gene-gene interactions may impact the prevalence of p53 mutations in breast tumors. Elucidating the etiology of breast cancer as a consequence of common genetic polymorphisms and the genotoxic effects of smoking will enable us to improve the design of prevention strategies, such as lifestyle modifications, in genetically susceptible subpopulations.
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PMID:Polymorphisms in drug metabolism genes, smoking, and p53 mutations in breast cancer. 1768 74

The present study was undertaken to examine the frequencies of GSTM1 (Null/Present), GSTP1 (Ile105Val) and p53 (Arg72Pro) genotypes and their relations to breast cancer susceptibility in South Indian women. This case - control study involved 250 consecutive breast cancer cases and 500 healthy controls matched in five-year age categories in the ratio of 1:2. Genotyping was performed by PCR for GSTM1, Real-Time Allelic discrimination assay for GSTP1 and PCR-CTPP for p53. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression after adjusting for the known risk factors for breast cancer. The frequencies for the GSTM1 Null genotype were 26% in the cases and 22% in the controls; for GSTP1 Ile/Ile, Ile/Val, Val/Val the frequencies were 46.6%, 41.9% and 11.5%, respectively, in cases and 46.0%, 43.8% and 10.2% in controls; for p53 Arg/Arg, Arg/Pro & Pro/Pro the frequencies were 26.4%, 50.0% and 23.6% in cases and 27.0%, 44.8% and 28.2% in controls. A nonsignificant elevation in breast cancer risk was observed among women who had the GSTM1 Null genotype (OR=1.24; 95% CI=0.83-1.84), the p53 Arg/Arg genotype (OR=1.28; 95% CI=0.81-2.03) and the Pro/Arg genotype (OR=1.49; 95% CI=0.99-2.25), and the GSTP1 Val/Val genotype (OR=1.1; 95% CI=0.64-1.91).
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PMID:Role of GSTM1 (Null/Present), GSTP1 (Ile105Val) and P53 (Arg72Pro) genetic polymorphisms and the risk of breast cancer: a case control study from South India. 1769 41

The simian virus SV40 (SV40), a potent DNA oncogenic polyomavirus, has been detected in several human tumors including lymphomas, mainly in diffuse large B-cell type (DLBCL). However, a causative role for this virus has not been convincingly established. Hypermethylation in promoter regions is a frequent process of silencing tumor suppressor genes (TSGs) in cancers, which may be induced by oncogenic viruses. In this study, we investigated the relationship between the presence of SV40 DNA sequences and the methylation status of 13 TSGs in 108 DLBCLs and 60 nontumoral samples from Tunisia. SV40 DNA presence was investigated by PCR assays targeting the large T-antigen, the regulatory and the VP1 regions. Hypermethylation was carried out by methylation-specific PCR. SV40 DNA was detected in 63/108 (56%) of DLBCL and in 4/60 (6%) of nontumoral samples. Hypermethylation frequencies for the tested TSGs were 74% for DAPK, 70% for CDH1, SHP1, and GSTP1, 58% for p16, 54% for APC, 50% for p14, 39% for p15, 19% for RB1, 15% for BLU, 3% for p53, and 0% for p300 and MGMT. No hypermethylation was observed in nontumoral samples. Hypermethylation of SHP1, DAPK, CDH1, GSTP1 and p16 genes were significantly higher in SV40-positive than in SV40-negative DLBCL samples (p values ranging from 0.0006 to <0.0001). Our findings showed a high prevalence of SV40 DNA in DLBCLs in Tunisia. The significant association of promoter hypermethylation of multiple TSGs with the presence of SV40 DNA in DLBCLs supports a functional effect of the virus in those lymphomas.
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PMID:Presence of simian virus 40 DNA sequences in diffuse large B-cell lymphomas in Tunisia correlates with aberrant promoter hypermethylation of multiple tumor suppressor genes. 1772 19

The breast cancer incidence has been increasing in the south Indian women. A case (n=250)-control (n=500) study was undertaken to investigate the role of Single Nucleotide Polymorphisms (SNP's) in GSTM1 (Present/Null); GSTP1 (Ile105Val), p53 (Arg72Pro), TGFbeta1 (Leu10Pro), c-erbB2 (Ile655Val), and GSTT1 (Null/Present) in breast cancer. In addition, the value of the SNP's in predicting primary tumor's pathologic response following neo-adjuvant chemo-radiotherapy was assessed. Genotyping was done using PCR (GSTM1, GSTT1), Taqman Allelic discrimination assay (GSTP1, c-erbB2) and PCR-CTPP (p53 and TGFbeta1). None of the gene SNP's studied were associated with a statistically significant increased risk for the breast cancer. However, combined analysis of the SNP's showed that p53 (Arg/Arg and Arg/Pro) with TGFbeta1 (Pro/Pro and Leu/Pro) were associated with greater than 2 fold increased risk for breast cancer in Univariate (P=0.01) and Multivariate (P=0.003) analysis. There was no statistically significant association for the GST family members with the breast cancer risk. TGFbeta1 (Pro/Pro) allele was found to predict complete pathologic response in the primary tumour following neo-adjuvant chemo-radiotherapy (OR=6.53 and 10.53 in Univariate and Multivariate analysis respectively) (P=0.004) and was independent of stage. This study suggests that SNP's can help predict breast cancer risk in south Indian women and that TGFbeta1 (Pro/Pro) allele is associated with a better pCR in the primary tumour.
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PMID:TGFbeta1 (Leu10Pro), p53 (Arg72Pro) can predict for increased risk for breast cancer in south Indian women and TGFbeta1 Pro (Leu10Pro) allele predicts response to neo-adjuvant chemo-radiotherapy. 1805 29

Molecular markers for cancers are not only useful for cancer detection and prognostic prediction, but may also serve as potential therapeutic targets. In order to identify reliable molecular markers for prognostic prediction in gallbladder carcinoma (GBC), we evaluated the immunohistochemical expression of 15 proteins, namely p53, p27, p16, RB, Smad4, PTEN, FHIT, GSTP1, MGMT, E-cadherin, nm23, CD44, TIMP3, S100A4, and promyelocytic leukemia (PML) in 138 cases of GBC using the tissue microarray method. The prognostic significance was analyzed for each protein. Overexpression of p53 and S100A4, and loss of p27, p16, RB, Smad4, FHIT, E-cadherin and PML expression were associated with poor survival. In particular, PML and p53 showed considerable potential as independent prognostic markers. Patients with normal PML and p53 expression displayed favorable outcomes, compared to those showing abnormal expression of either or both proteins (49% vs. 23% in a 5-year survival rate; 60 months vs. 11 months in median survival, respectively; P=0.009). Thus, PML and p53 are potential candidates for development as clinically applicable molecular prognostic markers of GBC, and may be effective therapeutic targets for the disease in the future.
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PMID:Significance of PML and p53 protein as molecular prognostic markers of gallbladder carcinomas. 1815 68

Fibrolamellar carcinomas have a unique predilection for younger individuals and arise in livers without recognizable liver disease. In contrast to typical hepatocellular carcinomas, fibrolamellar carcinomas show few chromosomal changes and lack mutation in key genes such as TP53 and CTNNB1. Epigenetic instability, manifesting as methylation of important tumor suppressor gene promoters, has not been investigated in fibrolamellar carcinomas. Thus, the methylation status of 11 tumor suppressor gene promoters was investigated using methylation-specific PCR: RASSF1, CDH1, CDKN2B, HPP1, CDKN2A, GSTP1, P16, RARA, FLJ13081, SOCS1, and TP53. Nine fibrolamellar carcinomas were studied including primary tumors (N=5) and metastatic deposits (N=4) along with control groups of typical hepatocellular carcinoma arising in livers with (N=21) and without cirrhosis (N=10). In fibrolamellar carcinomas, RASSF1A and CDH1 (e-cadherin) were the most commonly methylated genes with 80-100% of tumors methylated. However, overall fibrolamellar carcinomas showed low levels of methylation with no differences between fibrolamellar carcinomas and their paired normal livers. However, fibrolamellar carcinomas showed significantly less methylation than hepatocellular carcinomas that arose in the background of viral cirrhosis. Overall, methylation was most strongly linked to viral cirrhosis. In conclusion, fibrolamellar carcinoma shows low levels of methylation. In contrast, higher levels of promoter methylation are associated with hepatocellular carcinomas that arise in the setting of viral induced cirrhosis.
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PMID:Epigenetic instability is rare in fibrolamellar carcinomas but common in viral-associated hepatocellular carcinomas. 1826 82

The aim of this report is to review and evaluate, in a comprehensive manner, the published data regarding the contribution of genetic polymorphisms to risk of head and neck cancer (HNC). All relevant studies available in MEDLINE and published before July 2007 were identified. Studies carried out in humans that compared HNC patients with at least 1 standard control group were considered for analysis. Two hundred and eighteen publications and 3 published meta-analyses were identified. Seventy-five (34%) studies were conducted in Asian, 72 (33%) in American, and 68 (31%) in European countries. The most widely studied gene was GSTM1 (58 studies), followed by GSTT1 (42 studies), GSTP1 (codon 105, 22 studies) and p53 (codon 72, 20 studies). GSTM1, GSTT1, GSTP1, XRCC1 codons 194 and 399, and CYP1A1 codon 462 were examined by meta-analyses, and significant relations were found between the GSTM1-null genotype and an increased risk for HNC. In addition, increased risk for HNC was associated consistently with the ALDH2*1/*2, p53 codon 72 Pro/Pro and EPHX1 codon 113 Tyr/His and His/His genotypes. Cohort studies that simultaneously consider multiple genetic and environmental factors possibly involved in carcinogenesis of the head and neck are needed to ascertain not only the relative contribution of these factors to tumor development but also the contributions of their putative interactions.
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PMID:Genetic polymorphisms and head and neck cancer risk (Review). 1842 22

Tobacco smoke and occupational exposures to chemicals such as polycyclic aromatic hydrocarbons (PAHs) are, aside from alcohol, the major risk factors for development of head and neck squamous-cell cancer (HNSCC). In this study, new statistical methods were applied. We employ new statistical methods to detect genetic interactions perhaps of higher order, that might play a role in developing HNSCC. The underlying study comprises 312 HNSCC cases and 300 controls. Single-nucleotide polymorphisms (SNPs) of PAH metabolizing and repair enzymes, somatic p53 mutations, and tobacco smoke were examined. Key statistical tools for our analysis are methods of unsupervised and supervised learning. In unsupervised learning, one performs cluster analyses based on well-known and new distance measures to find differences in the SNP patterns of cases and controls, and to understand the role of p53. Our main goal in supervised learning was to identify SNPs and SNP interactions that are likely to alter the susceptibility to HNSCC. Logic regression, a classification method well suited for SNPs, was employed as well as a Bayesian generalization that allows for incorporating additional expert knowledge. These methods detected several important interactions, such as an association between CYP1B1, tobacco smokes and p53 mutations and some interactions between CYP1B1 and glutathione S-transferases in smokers, which included a three-way interaction between CYP1B1, CYP2E1-70G>T, and GSTP1 (exon 5).
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PMID:Statistical methods for detecting genetic interactions: a head and neck squamous-cell cancer study. 1856 79

Despite significant advances in the detection and treatment of hepatocellular carcinoma, the prognosis of patients with hepatocellular carcinoma remains very poor, in part due to the high incidence of recurrence. This study was aimed at identifying a prognostic indicator of recurrence in patients with hepatocellular carcinoma. We retrospectively analyzed CpG island hypermethylation of the p14, p15, p16, GSTP1, integrin alpha4, SYK, and CDH1 genes in fresh-frozen tissues from 265 patients with hepatocellular carcinoma using the methylation-specific PCR. The expression levels of p16 and p53 were evaluated by immunohistochemistry. CpG island hypermethylation was detected in 6% for p14, 21% for p15, 67% for p16, 75% for GSTP1, 23% for integrin alpha4, 12% for SYK, and 57% for CDH1. Recurrence was observed in 102 (38%) of the 265 patients. There was no association between the risk for recurrence and hypermethylation of any gene studied. However, p16 methylation was associated with a poor survival after surgery for recurrent stage I to II hepatocellular carcinomas (hazard ratio, 4.05; 95% confidence interval, 1.15-14.20; P = 0.03). In addition, the hazard of failure after recurrence was about 3.80 (95% confidence interval, 1.03-14.20; P = 0.04) times higher in patients with p16 methylation than in those without. Negative expression of p16 at a protein level was also associated with poor survival in recurrent stage I to II hepatocellular carcinomas, but p53 expression did not have a synergistic effect on the poor prognosis. In conclusion, the present study suggests that p16 methylation may be associated with a poor prognosis in recurrent early-stage hepatocellular carcinomas.
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PMID:Promoter hypermethylation of the p16 gene is associated with poor prognosis in recurrent early-stage hepatocellular carcinoma. 1872 30

The growing number of human cancers is the main reason for the search for new effective treatment strategies. The molecular basis for cancer transformation has to be elucidated in order to improve cancer treatment. It is stated that HNSCCs make up at least 5% of all registered malignant tumors in Poland. Exogenous factors influence HNSCC etiology. The prevalence of HNSCC is increased by several carcinogens, including tobacco smoke, life style, and others, such as oncogenous viral infections. It is more often emphasized that endogenous agents can also increase the risk of HNSCC development, especially genetic factors. The most recently characterized genetic factors for head and neck cancer are mutations in xenobiotic metabolism enzyme genes (GSTM1, GSTT1, GSTP1), suppressors mutations (TP53, RB1, BRCA1, ATM), polymorphisms of DNA repair genes (OGG1, XRCC1, XPD, RAD51), and mutations in mitochondrial DNA. It has been observed that single-gene polymorphisms could affect treatment, whereas the coincidence of other gene mutations may increase the risk of human head and neck cancer development.
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PMID:[Genetic predeterminations of head and neck cancer]. 1883 34


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