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Query: UMLS:C0376358 (prostate cancer)
 59,338 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Systematic multiplex reverse transcription-polymerase chain reaction (SM RT-PCR) is distinguishable from other multiplex RT-PCR methods by (i) utilization of primers that amplify sequences that fall within a single exon of the genes, (ii) utilization of genomic DNA as a calibration standard, and (iii) optimized PCR conditions that allow amplification of bands of similar intensity using genomic DNA template. We previously developed the human experimental systems of 68 glycosyltransferase genes, 39 Hox genes, and 26 integrin subunit genes, and analyzed the expression of those genes in human adult tissues. Here we report the establishment of an SM RT-PCR system of proto-oncogenes and tumor suppressor genes and the analysis of gene expression in human cancer tissues and cell lines. We also demonstrate that the SM RT-PCR system, which was developed for cDNA expression analysis, could also be used successfully for more exquisite analysis of copy number changes in genomic DNA. We observed a decrease in band intensity of HRAS, TP73, CDKN2A, and CDKN2B genes in most of the breast and prostate cancer cell lines examined. The decrease in copy number of HRAS proto-oncogene leads us to suspect the presence of tumor suppressor genes in the vicinity of this gene on chromosome 11p15.5.
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PMID:Systematic multiplex polymerase chain reaction and reverse transcription-polymerase chain reaction analyses of changes in copy number and expression of proto-oncogenes and tumor suppressor genes in cancer tissues and cell lines. 1549 Apr 58

Genes involved in cancer generation are usually tumor suppressors and oncogenes. Progressive genetic alterations in these genes are involved in the mechanisms of tumorigenesis. In prostate cancer, additionally several chromosomal loci that should harbor mutated genes have been proposed. Some genes have been found altered in prostate cancer, such as PTEN, TP53, AR, RNASEL (HPC1), ELAC2 (HPC2), CDKN2A and MSR1 and those can be natural targets for new strategies of treatment. Besides, gene therapy has been suggested to be suitable for prostate cancer treatment. This approach includes ex vivo corrective therapy, suicide, and antisense therapy.
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PMID:Molecular biology in prostate cancer. 1664 13

In urothelial cancer, hypermethylation of specific genes and genome-wide hypomethylation, reflected in decreased methylation of LINE-1 retrotransposons, have both been reported, but were never investigated in the same specimens. We analyzed hypermethylation of six genes by methylation-specific PCR and LINE-1 hypomethylation by Southern blotting in 96 carcinoma tissues. Hypermethylation frequencies were: SFRP1 (55%), APC (45%), RASSF1A (35%), DAPK1 (29%), RARB2 (19%), and CDKN2A (2%). Three groups of cancers could be discerned, with escalating hypermethylation. Hypermethylation increased with tumor stage, particularly at the transition to invasive cancers, and RARB2 hypermethylation was indicative of lymph node involvement. A comparison to a previous study on prostate cancer using the same techniques suggests that hypermethylation in urothelial carcinoma occurs in a random rather than coordinated manner. LINE-1 hypomethylation was present in 90% of specimens, largely independent of hypermethylation. Lack of hypomethylation indicated a significantly better clinical prognosis. Bisulfite sequencing of SFRP1 demonstrated dense or patchy hypermethylation in tumor tissues that likely accounts for discrepant reported frequencies. In urothelial carcinoma cell lines, the same genes as in tissues were frequently hypermethylated. SFRP1 hypermethylation was concordant with lack of expression. 5-Aza-deoxycytidine induced its reexpression in some lines, whereas additional treatment with a histone deacetylase inhibitor was required in others. Thus, epigenetic SFRP1 inactivation occurs in a graduated manner. In conclusion, markers of genome-wide hypomethylation seem optimally suited for urothelial carcinoma detection, whereas combinations of hypermethylation and hypomethylation assays hold promise for classification.
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PMID:DNA methylation alterations in urothelial carcinoma. 1677 27

Previously, we have developed a unique in vitro LNCaP cell model, which includes androgen-dependent (LNCaP-C33), androgen-independent (LNCaP-C81) and an intermediate phenotype (LNCaP-C51) cell lines resembling the stages of prostate cancer progression to hormone independence. This model is advantageous in overcoming the heterogeneity associated with the prostate cancer up to a certain extent. We characterized and compared the gene expression profiles in LNCaP-C33 (androgen-dependent) and LNCaP-C81 (androgen-independent) cells using Affymetrix GeneChip array analyses. Multiple genes were identified exhibiting differential expression during androgen-independent progression. Among the important genes upregulated in androgen-independent cells were PCDH7, TPTE, TSPY, EPHA3, HGF, MET, EGF, TEM8, etc., whereas many candidate tumor suppressor genes (HTATIP2, CDKN2A, CDKN2B, CDKN1C, TP53, TP73, ICAM1, SOCS1/2, SPRY2, PPP2CA, PPP3CA, etc.) were decreased. Pathway prediction analysis identified important gene networks associated with growth-promoting and apoptotic signaling that were perturbed during androgen-independent progression. Further investigation of one of the genes, PPP2CA, which encodes the catalytic subunit of a serine phosphatase PP2A, a potent tumor suppressor, revealed that its expression was decreased in prostate cancer compared to adjacent normal/benign tissue. Furthermore, the downregulated expression of PPP2CA was significantly correlated with tumor stage and Gleason grade. Future studies on the identified differentially expressed genes and signaling pathways may be helpful in understanding the biology of prostate cancer progression and prove useful in developing novel prognostic biomarkers and therapy for androgen-refractory prostate cancer.
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PMID:Genome-wide expression profiling reveals transcriptomic variation and perturbed gene networks in androgen-dependent and androgen-independent prostate cancer cells. 1797 48

Prostate cancer cell lines provide ideal in vitro systems for the identification and analysis of prostate tumor suppressors and oncogenes. A detailed characterization of the architecture of prostate cancer cell line genomes would facilitate the study of precise roles of various genes in prostate tumorigenesis in general. To contribute to such a characterization, we used the GeneChip 500K single nucleotide polymorphic (SNP) array for analysis of genotypes and relative DNA copy number changes across the genome of 11 cell lines derived from both normal and cancerous prostate tissues. For comparison purposes, we also examined the alterations observed in the cell lines in tumor/normal pairs of clinical samples from 72 patients. Along with genome-wide maps of DNA copy number changes and loss of heterozygosity for these cell lines, we report previously unreported homozygous deletions and recurrent amplifications in prostate cancers in this study. The homozygous deletions affected a number of biologically important genes, including PPP2R2A and BNIP3L identified in this study and CDKN2A/CDKN2B reported previously. Although most amplified genomic regions tended to be large, amplifications at 8q24.21 were of particular interest because the affected regions are relatively small, are found in multiple cell lines, are located near MYC, an oncogene strongly implicated in prostate tumorigenesis, and are known to harbor SNPs that are associated with inherited susceptibility for prostate cancer. The genomic alterations revealed in this study provide an important catalog of positional information relevant to efforts aimed at deciphering the molecular genetic basis of prostate cancer.
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PMID:Homozygous deletions and recurrent amplifications implicate new genes involved in prostate cancer. 1867 Jun 47

Promoter DNA methylation of CpG islands is an important epigenetic mechanism in cancer development. We have characterized the promoter methylation profile of 82 genes in three prostate cancer cell lines (LNCaP, PC3, and DU145) and two normal prostate cell lines (RWPE1 and RWPE2). The methylation pattern was analyzed using a Panomics gene array system that consists of immobilized probes of known gene promoters on a nitrocellulose membrane. Methylation binding protein-purified methylated DNA was hybridized on the membrane and detected by the chemiluminescence method. We analyzed methylation profile in normal (RWPE1) versus cancerous cells and androgen receptor (AR)-sensitive (LNCaP) versus AR-negative cells (DU145 and PC3). Our study shows that >50% of the genes were hypermethylated in prostate cancer cells compared with 13% in normal cell lines. Among these were the tumor suppressor (RB, TMS1, DAPK, RBL1, PAX6, and FHIT), cell cycle (p27KIP1 and CDKN2A), transporters (MDR1, MLC1, and IGRP), and transcription factor (STAT1, CIITA, MYOD, and NPAT) genes. Relative methylation pattern shows that most of these genes were methylated from 5-fold to >10-fold compared with the normal prostate cells. In addition, promoter methylation was detected for the first time in target genes such as RIOK3, STAT5, CASP8, SRBC, GAGE1, and NPAT. A significant difference in methylation pattern was observed between AR-sensitive versus AR-negative cancer cells for the following genes: CASP8, GPC3, CD14, MGMT, IGRP, MDR1, CDKN2A, GATA3, and IFN. In summary, our study identified candidate genes that are methylated in prostate cancer.
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PMID:Global methylation pattern of genes in androgen-sensitive and androgen-independent prostate cancer cells. 2005 73

There is a known inverse association between type 2 diabetes (T2D) and prostate cancer (PrCa) that is poorly understood. Genetic studies of the T2D-PrCa association may provide insight into the underlying mechanisms of this association. We evaluated associations in the Atherosclerosis Risk in Communities study between PrCa and nine T2D single nucleotide polymorphisms from genome-wide association studies of T2D (in CDKAL1, CDKN2A/B, FTO, HHEX, IGF2BP2, KCNJ11, PPARG, SLC30A8, and TCF7L2) and four T2D single nucleotide polymorphisms from pre-genome-wide association studies (in ADRB2, CAPN10, SLC2A2, and UCP2). From 1987 to 2000, there were 397 incident PrCa cases among 6,642 men ages 45 to 64 years at baseline. We used race-adjusted Cox proportional hazards models to estimate associations between PrCa and increasing number of T2D risk-raising alleles. PrCa was positively associated with the CAPN10 rs3792267 G allele [hazard ratio (HR) 1.20; 95% confidence interval (CI), 1.00-1.44] and inversely associated with the SLC2A2 rs5400 Thr110 allele (HR, 0.85; 95% CI, 0.72, 1.00), the UCP2 rs660339 Val55 allele (HR, 0.84; 95% CI, 0.73, 0.97) and the IGF2BP2 rs4402960 T allele (HR, 0.79; 95% CI, 0.61-1.02; blacks only). The TCF7L2 rs7903146 T allele was inversely associated with PrCa using a dominant genetic model (HR, 0.79; 95% CI, 0.65-0.97). Further knowledge of T2D gene-PrCa mechanisms may improve understanding of PrCa etiology.
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PMID:Diabetes genes and prostate cancer in the Atherosclerosis Risk in Communities study. 2014 50

MicroRNAs (miRNA) regulate complex patterns of gene expression, and the relevance of altered miRNA expression to ovarian cancer remains to be elucidated. By comprehensively profiling expression of miRNAs and mRNAs in serous ovarian tumors and cell lines and normal ovarian surface epithelium, we identified hundreds of potential miRNA-mRNA targeting associations underlying cancer. Functional overexpression of miR-31, the most underexpressed miRNA in serous ovarian cancer, repressed predicted miR-31 gene targets including the cell cycle regulator E2F2. MIR31 and CDKN2A, which encode p14(ARF) and p16(INK4A), are located at 9p21.3, a genomic region commonly deleted in ovarian and other cancers. p14(ARF) promotes p53 activity, and E2F2 overexpression in p53 wild-type cells normally leads via p14(ARF) to an induction of p53-dependent apoptosis. In a number of serous cancer cell lines with a dysfunctional p53 pathway (i.e., OVCAR8, OVCA433, and SKOV3), miR-31 overexpression inhibited proliferation and induced apoptosis; however, in other lines (i.e., HEY and OVSAYO) with functional p53, miR-31 had no effect. Additionally, the osteosarcoma cell line U2OS and the prostate cancer cell line PC3 (p14(ARF)-deficient and p53-deficient, respectively) were also sensitive to miR-31. Furthermore, miR-31 overexpression induced a global gene expression pattern in OVCAR8 associated with better prognosis in tumors from patients with advanced stage serous ovarian cancer, potentially affecting many genes underlying disease progression. Our findings reveal that loss of miR-31 is associated with defects in the p53 pathway and functions in serous ovarian cancer and other cancers, suggesting that patients with cancers deficient in p53 activity might benefit from therapeutic delivery of miR-31.
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PMID:Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers. 2017 98

Prostate cancer (PCA) is a clinically heterogeneous and often multifocal disease with a clinical outcome difficult to predict. A deeper knowledge of the molecular basis of the disease may lead to a better prediction of prognosis. Therefore, in this study we investigated the molecular basis of PCA by identifying potential tumor markers in laser-microdisected PCA tissues. Among a group of PCA patients, quantitative RT-PCR analysis was performed to compare the expression of 70 genes. These genes were selected from the results of two microarrays which investigated the gene expression profile differences between moderately or poorly differentiated prostate carcinoma glands and the corresponding normal glands. Among the genes examined, CDKN2A, GATA3, CREBBP, ITGA2, NBL1 and TGM4 were down-regulated in the prostate carcinoma glands compared to the corresponding normal glands, whereas TFF3, TMPRSS2 and ERG were up-regulated. Our findings indicate that these genes may play roles as tumor suppressor genes or oncogenes in PCA, and may serve as potential tumor markers and novel therapeutic targets.
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PMID:Analysis of laser-microdissected prostate cancer tissues reveals potential tumor markers. 2174 59

Observational studies have found an inverse association between type 2 diabetes (T2D) and prostate cancer (PCa), and genome-wide association studies have found common variants near 3 loci associated with both diseases. The authors examined whether a genetic background that favors T2D is associated with risk of advanced PCa. Data from the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium, a genome-wide association study of 2,782 advanced PCa cases and 4,458 controls, were used to evaluate whether individual single nucleotide polymorphisms or aggregations of these 36 T2D susceptibility loci are associated with PCa. Ten T2D markers near 9 loci (NOTCH2, ADCY5, JAZF1, CDKN2A/B, TCF7L2, KCNQ1, MTNR1B, FTO, and HNF1B) were nominally associated with PCa (P < 0.05); the association for single nucleotide polymorphism rs757210 at the HNF1B locus was significant when multiple comparisons were accounted for (adjusted P = 0.001). Genetic risk scores weighted by the T2D log odds ratio and multilocus kernel tests also indicated a significant relation between T2D variants and PCa risk. A mediation analysis of 9,065 PCa cases and 9,526 controls failed to produce evidence that diabetes mediates the association of the HNF1B locus with PCa risk. These data suggest a shared genetic component between T2D and PCa and add to the evidence for an interrelation between these diseases.
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PMID:Association of type 2 diabetes susceptibility variants with advanced prostate cancer risk in the Breast and Prostate Cancer Cohort Consortium. 2319 18


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