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)

The clonal origin of multiple tumors in the same individual has long been debated. The main aim of this study is to find out whether multiple tumors in same individuals originated from a single clone. In our previous work (Pathol. Res. Pract. 199 (2003) 313-321), the deletion at chromosome1p36 was found to occur early because of common allelic loss in the bilateral tumors. In order to further investigate the findings about the clonality of tumors, eight tumors from four patients (two synchronous bilateral breast carcinoma [biBC], one case with breast carcinoma in one breast and multiple calcified fibroadenoma nodules in another breast, and one case with multifocal fibroadenosis in one breast) were subjected to polymerase chain reaction (PCR) to detect (a) loss of heterozygosity (LOH) and microsatellite size alterations (MA) using microsatellite markers distributed over five chromosomal arms 11p/q, 13q and 17p/q, and (b) Cyclin D1 amplification. Some markers were intragenic for BRCA1, BRCA2, BRCAX, ATM, TP53, and RB1. Although a few cases were studied, our findings suggest that in at least a proportion of patients multiple tumors may arise from a single clone.
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PMID:Molecular study of clonality in multifocal and bilateral breast tumors. 1564 12

Most familial breast cancers arise in patients who tested negative for germline mutations in BRCA1 and BRCA2 genes (also referred to as BRCAX cases). Several studies aimed to define histopathological and molecular profiles characteristic of BRCA1, BRCA2 and BRCAX tumors have been performed. Major pathological and immunohistochemical differences have been reported in BRCA1 cancers compared to the other two groups, whereas less difference has been observed between BRCA2 and BRCAX cases. The aim of this study was to investigate the ability of selected tumor markers to discriminate BRCAX breast cancers from cancers arising in carriers of mutations in BRCA genes, and their usefulness in selecting familial cases in whom testing for such mutations is more likely to result uninformative. We carried out a morphological and immunohistochemical analysis on 22 BRCA1, 16 BRCA2 and 33 BRCAX familial breast cancers. Age at first diagnosis, histological type and grade, and immunostaining for estrogen receptor (ER), progesterone receptor (PR), p53, HER2/Neu, E-cadherin and cyclin D1 were investigated. The occurrence of somatic mutations of the TP53 gene was also verified. BRCA1 tumors resulted clearly distinguishable from BRCAX cases, occurring at a younger age, being more frequently of higher grade, negative for ER, PR and cyclin D1 expression and positive for p53 alterations. The predictive value of age at diagnosis, histological grade and PR expression was confirmed in a multivariable analysis. When comparing BRCA2 with BRCAX tumors, the only parameter that differed was cyclin D1, which was significantly overexpressed in BRCA2 cases both in the univariable and the multivariable analyses. If confirmed by further studies, our observations indicate that the investigation of cyclin D1 expression in familial breast cancer cases could be used, in conjunction with the analysis of other tumor markers preferentially associated with BRCA1 or BRCA2 tumors, to prioritize hereditary cases for mutation testing in BRCA genes.
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PMID:Cyclin D1 expression analysis in familial breast cancers may discriminate BRCAX from BRCA2-linked cases. 1832 10

Breast cancer is the most common malignancy in women in the Western world. Except for the high breast cancer risk in BRCA1 and BRCA2 mutation carriers as well as the risk for breast cancer in certain rare syndromes caused by mutations in TP53, STK11, PTEN, CDH1, NF1 or NBN, familial clustering of breast cancer remains largely unexplained. Despite significant efforts, BRCA3 could not be identified, but several reports have recently been published on genes involved in DNA repair and single nucleotide polymorphisms (SNPs) associated with an increased breast cancer risk. Although candidate gene approaches demonstrated moderately increased breast cancer risks for rare mutations in genes involved in DNA repair (ATM, CHEK2, BRIP1, PALB2 and RAD50), genome-wide association studies identified several SNPs as low-penetrance breast cancer susceptibility polymorphisms within genes as well as in chromosomal loci with no known genes (FGFR2, TOX3, LSP1, MAP3K1, TGFB1, 2q35 and 8q). Some of these low-penetrance breast cancer susceptibility polymorphisms also act as modifier genes in BRCA1/BRCA2 mutation carriers. This review not only outlines the recent key developments and potential clinical benefit for preventive management and therapy but also discusses the current limitations of genetic testing of variants associated with intermediate and low breast cancer risk.
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PMID:Breast cancer susceptibility: current knowledge and implications for genetic counselling. 1909 72

The breast cancer network constructed from 70 experimentally verified genes is found to follow hierarchical scale free nature with heterogeneous modular organization and diverge leading hubs. The topological parameters (degree distributions, clustering co-efficient, connectivity and centralities) of this network obey fractal rules indicating absence of centrality lethality rule, and efficient communication among the components. From the network theoretical approach, we identified few key regulators out of large number of leading hubs, which are deeply rooted from top to down of the network, serve as backbone of the network, and possible target genes. However, p53, which is one of these key regulators, is found to be in low rank and keep itself at low profile but directly cross-talks with important genes BRCA2 and BRCA3. The popularity of these hubs gets changed in unpredictable way at various levels of organization thus showing disassortive nature. The local community paradigm approach in this network shows strong correlation of nodes in majority of modules/sub-modules (fast communication among nodes) and weak correlation of nodes only in few modules/sub-modules (slow communication among nodes) at various levels of network organization.
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PMID:Exploring novel key regulators in breast cancer network. 2992 45