1.Clinical significance of six-transmembrane epithelial antigen of the prostate expressed in prostatic carcinoma.
Liaoyuan LI ; Jiefang LI ; Zhoujun SHEN ; Weijun LIU ; Zhaodian CHEN
National Journal of Andrology 2004;10(5):351-354
OBJECTIVETo investigate the relationship between six-transmembrane epithelial antigen of the prostate (STEAP) expression and the histologic grading of prostatic carcinoma (PCa).
METHODSDifferent prostatic tissues and non-prostatic tumors, 131 cases of PCa, 164 cases of benign prostate hyperplasia (BPH), and 56 cases of non-prostatic malignancies, were analyzed for the expression of STEAP by using STEAP monoclonal antibody and SP immunohistochemical staining. The positive area unit (PU) was introduced to describe the intensity of STEAP expression.
RESULTSThe prostatic tissues of all but 3 cases of PCa and 5 cases of BPH were stained positively, while all of the non-prostatic tumors were stained negatively. There was a significant negative correlation between the STEAP expression and the histologic grading of PCa.
CONCLUSIONSTEAP can be a prognostic marker of PCa and a potential therapeutic target in PCa.
Antigens, Neoplasm ; analysis ; genetics ; Humans ; Immunohistochemistry ; Male ; Oxidoreductases ; Prostatic Neoplasms ; diagnosis ; immunology ; pathology
2.Chromosomal translocation and malignant tumor.
Chinese Journal of Pathology 2011;40(2):138-140
Diagnosis, Differential
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Female
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Humans
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Immunohistochemistry
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In Situ Hybridization, Fluorescence
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Leukemia, Myeloid, Chronic-Phase
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genetics
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Lymphoma
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classification
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diagnosis
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pathology
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Male
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Neoplasms
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genetics
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metabolism
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pathology
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Oncogene Proteins
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metabolism
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Prognosis
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Prostatic Neoplasms
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genetics
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Reverse Transcriptase Polymerase Chain Reaction
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Translocation, Genetic
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Tumor Suppressor Proteins
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metabolism
3.Suitable reference genes for relative quantification of miRNA expression in prostate cancer.
Annika SCHAEFER ; Monika JUNG ; Kurt MILLER ; Michael LEIN ; Glen KRISTIANSEN ; Andreas ERBERSDOBLER ; Klaus JUNG
Experimental & Molecular Medicine 2010;42(11):749-758
Real time quantitative PCR (qPCR) is the method of choice for miRNA expression studies. For relative quantification of miRNAs, normalization to proper reference genes is mandatory. Currently, no validated reference genes for miRNA qPCR in prostate cancer are available. In this study, the expression of four putative reference genes (hsa-miR-16, hsa-miR-130b, RNU6-2, SNORD7) was examined with regard to their use as normalizer. After SNORD7 was already shown an inappropriate reference gene in preliminary experiments using total RNA pools, we studied the expression of the putative reference genes in tissue and normal adjacent tissue sample pairs from 76 men with untreated prostate carcinoma collected after radical prostatectomy. hsa-miR-130b and RNU6-2 showed no significantly different expression between the matched malignant and non-malignant tissue samples, whereas hsa-miR-16 was significantly underexpressed in malignant tissue. Softwares geNorm and Normfinder predicted hsa-miR-130b and the geometric mean of hsa-miR-130b and RNU6-2 as the most stable reference genes. Normalization of the four miRNAs hsa-miR-96, hsa-miR-125b, hsa-miR-205, and hsa-miR-375, which were previously shown to be regulated, shows that normalization to hsa-mir-16 can lead to biased results. We recommend using hsa-miR-130b or the geometric mean of hsa-miR-130b and small RNA RNU6-2 for normalization in miRNA expression studies of prostate cancer.
Aged
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Bias (Epidemiology)
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Carcinoma/diagnosis/*genetics/pathology
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Diagnostic Errors/prevention & control
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Gene Expression Profiling
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Gene Expression Regulation, Neoplastic
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Humans
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Male
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MicroRNAs/genetics/*metabolism
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Middle Aged
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Polymerase Chain Reaction
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Prostatic Neoplasms/diagnosis/*genetics/pathology
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*Reference Standards
4.Prognostic role of genetic biomarkers in clinical progression of prostate cancer.
Maria Jesus ALVAREZ-CUBERO ; Luis Javier MARTINEZ-GONZALEZ ; Maria SAIZ ; Pedro CARMONA-SAEZ ; Juan Carlos ALVAREZ ; Manrique PASCUAL-GELER ; Jose Antonio LORENTE ; Jose Manuel COZAR
Experimental & Molecular Medicine 2015;47(8):e176-
The aim of this study was to analyze the use of 12 single-nucleotide polymorphisms in genes ELAC2, RNASEL and MSR1 as biomarkers for prostate cancer (PCa) detection and progression, as well as perform a genetic classification of high-risk patients. A cohort of 451 men (235 patients and 216 controls) was studied. We calculated means of regression analysis using clinical values (stage, prostate-specific antigen, Gleason score and progression) in patients and controls at the basal stage and after a follow-up of 72 months. Significantly different allele frequencies between patients and controls were observed for rs1904577 and rs918 (MSR1 gene) and for rs17552022 and rs5030739 (ELAC2). We found evidence of increased risk for PCa in rs486907 and rs2127565 in variants AA and CC, respectively. In addition, rs627928 (TT-GT), rs486907 (AG) and rs3747531 (CG-CC) were associated with low tumor aggressiveness. Some had a weak linkage, such as rs1904577 and rs2127565, rs4792311 and rs17552022, and rs1904577 and rs918. Our study provides the proof-of-principle that some of the genetic variants (such as rs486907, rs627928 and rs2127565) in genes RNASEL, MSR1 and ELAC2 can be used as predictors of aggressiveness and progression of PCa. In the future, clinical use of these biomarkers, in combination with current ones, could potentially reduce the rate of unnecessary biopsies and specific treatments.
Aged
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Aged, 80 and over
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Cohort Studies
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Disease Progression
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Endoribonucleases/*genetics
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Gene Frequency
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Genetic Markers/genetics
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Genetic Predisposition to Disease
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Humans
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Male
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Middle Aged
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Neoplasm Proteins/*genetics
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*Polymorphism, Single Nucleotide
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Prognosis
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Prostate/metabolism/*pathology
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Prostatic Neoplasms/*diagnosis/*genetics
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Scavenger Receptors, Class A/*genetics
5.V89L polymorphism of the testosterone 5-alpha-reductase II gene and prognostic factors of prostate cancer.
Ming TONG ; Yan-Yang JIN ; Gang LI ; Si-Ming LIU ; Chun-Dong JI
National Journal of Andrology 2010;16(11):990-993
OBJECTIVETo investigate the association of V89L polymorphism of the SRD5A2 gene with the prognostic factors of prostate cancer (PCa).
METHODSWe identified the V89L polymorphic sites of the SRD5A2 gene after Rsa-1 restriction enzyme digestion, observed the distribution of V89L (VV, VL and LL) polymorphism in 112 PCa and 89 benign prostate hyperplasia (BPH) patients, and determined the association of V89L polymorphism with the age, free PSA (fPSA), total PSA (tPSA), fPSA/tPSA ratio, tumor stage and Gleason score of the PCa patients.
RESULTSNo statistically significant differences were found in the V89L polymorphism-induced genetic risk frequencies between the PCa and BPH groups (chi2 = 3. 606, df = 2, P = 0. 165), nor any significant correlation between the genotypes of VV and VL + LL and the differences in the fPSA, tPSA, fPSA/tPSA ratio, tumor stage, Gleason score and age of the PCa patients. VV and VL + LL showed no obvious association with the prognostic factors of PCa.
CONCLUSIONV89L polymorphism is not related with the prognosis of PCa, but may be indirectly associated with its risk.
3-Oxo-5-alpha-Steroid 4-Dehydrogenase ; genetics ; Aged ; Aged, 80 and over ; Genotype ; Humans ; Male ; Membrane Proteins ; genetics ; Middle Aged ; Neoplasm Staging ; Polymorphism, Genetic ; Prognosis ; Prostatic Neoplasms ; diagnosis ; genetics ; pathology
6.Utility of tissue microarrays for profiling prognostic biomarkers in clinically localized prostate cancer: the expression of BCL-2, E-cadherin, Ki-67 and p53 as predictors of biochemical failure after radical prostatectomy with nested control for clinical and pathological risk factors.
Joseph NARICULAM ; Alex FREEMAN ; Simon BOTT ; Phillipa MUNSON ; Noriko CABLE ; Nicola BROOKMAN-AMISSAH ; Magali WILLIAMSON ; Roger S KIRBY ; John MASTERS ; Mark FENELEY
Asian Journal of Andrology 2009;11(1):109-118
A cure cannot be assured for all men with clinically localized prostate cancer undergoing radical treatment. Molecular markers would be invaluable if they could improve the prediction of occult metastatic disease. This study was carried out to investigate the expression of BCL-2, Ki-67, p53 and E-cadherin in radical prostatectomy specimens. We sought to assess their ability to predict early biochemical relapse in a specific therapeutic setting. Eighty-two patients comprising 41 case pairs were matched for pathological stage, Gleason grade and preoperative prostate-specific antigen (PSA) concentration. One patient in each pair had biochemical recurrence (defined as PSA >or= 0.2 ng mL(-1) within 2 years of surgery) and the other remained biochemically free of disease (defined as undetectable PSA at least 3 years after surgery). Immunohistochemical analysis was performed to assess marker expression on four replicate tissue microarrays constructed with benign and malignant tissue from each radical prostatectomy specimen. Ki-67, p53 and BCL-2, but not E-cadherin, were significantly upregulated in prostate adenocarcinoma compared with benign prostate tissue (P < 0.01). However, no significant differences in expression of any of the markers were observed when comparing patients who developed early biochemical relapse with patients who had no biochemical recurrence. This study showed that expression of p53, BCL-2 and Ki-67 was upregulated in clinically localized prostate cancer compared with benign prostate tissue, with no alteration in E-cadherin expression. Biomarker upregulation had no prognostic value for biochemical recurrence after radical prostatectomy, even after considering pathological stage, whole tumour Gleason grade and preoperative serum PSA level.
Adenocarcinoma
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diagnosis
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metabolism
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surgery
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Aged
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Biomarkers, Tumor
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metabolism
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Cadherins
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genetics
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metabolism
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Case-Control Studies
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Gene Expression Profiling
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Gene Expression Regulation, Neoplastic
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Humans
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Ki-67 Antigen
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genetics
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metabolism
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Male
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Middle Aged
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Prognosis
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Prostate
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metabolism
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pathology
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Prostate-Specific Antigen
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blood
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Prostatectomy
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Prostatic Neoplasms
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diagnosis
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metabolism
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surgery
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Proto-Oncogene Proteins c-bcl-2
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genetics
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metabolism
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Risk Factors
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Tumor Suppressor Protein p53
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genetics
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metabolism