1.Restriction landmark genomic scanning for screening aberrant CpG methylations in prostate cancer.
Dong LI ; Zhanping XU ; Jiuming LIU ; Xiaoyong PU ; Yaoxiong LUO ; Xiangguang ZHENG
Journal of Southern Medical University 2016;36(1):103-108
OBJECTIVETo screen methylations of CpG islands in prostate cancer using restriction landmark genomic scanning (RLGS).
METHODSThe DNA was extracted from homogeneous cells captured by laser capture microdissection in 20 prostate cancer and 18 benign prostatic hyperplasia (BPH) tissues for scanning the CpG islands using RLGS. The methylation status of each CpG island was compared between the cancer and BPH samples to screen the genes involved in prostate cancer development. The screened genes were uploaded to DAVID database for GO analysis, and the genes with the most significant methylation were analyzed by pyrosequencing.
RESULTS AND CONCLUSIONAmong all the tested CpG islands, 10245 (37.2%) in prostate cancer and 8658 (30.3%) in BPH samples were found to be abnormally methylated, and >60% of the methylated CpG islands were in the promoter region. Compared with BPH samples, the prostate cancer samples showed differential methyation in 735 CpG islands, including 458 hepermethyated and 256 hypomethelated ones. Seven genes (DPYS, P16, APC, GSTP1, TMEM122, RARB, and ARHGAP20) in prostate cancer were identified to have distinct methylations. Bioinformatics analysis suggested that these genes were associated with several biomolecular and biological processes, and among them DPYS gene was involved in 13 GO anotated biologic functions, development of 50 diseases and 47 protein interactions. Pyrosequencing of 7 sites of the CPG island in DPYS gene showed a methylation frequency of 32.7%, suggesting the importance of DPYS gene in the carcinogenesis and progression of prostate cancer.
CpG Islands ; DNA Methylation ; DNA, Neoplasm ; genetics ; Genomics ; Humans ; Male ; Polymerase Chain Reaction ; Prostatic Hyperplasia ; genetics ; Prostatic Neoplasms ; diagnosis ; genetics
2.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
3.Urinary Nucleic Acid TSPAN13-to-S100A9 Ratio as a Diagnostic Marker in Prostate Cancer.
Chunri YAN ; Ye Hwan KIM ; Ho Won KANG ; Sung Phil SEO ; Pildu JEONG ; Il Seok LEE ; Dongho KIM ; Jung Min KIM ; Yung Hyun CHOI ; Sung Kwon MOON ; Seok Joong YUN ; Wun Jae KIM
Journal of Korean Medical Science 2015;30(12):1784-1792
The potential use of urinary nucleic acids as diagnostic markers in prostate cancer (PCa) was evaluated. Ninety-five urine samples and 234 prostate tissue samples from patients with PCa and benign prostatic hyperplasia (BPH) were analyzed. Micro-array analysis was used to identify candidate genes, which were verified by the two-gene expression ratio and validated in tissue mRNA and urinary nucleic acid cohorts. Real-time quantitative polymerase chain reaction (qPCR) was used to measure urinary nucleic acid levels and tissue mRNA expression. The TSPAN13-to-S100A9 ratio was selected to determine the diagnostic value of urinary nucleic acids in PCa (P = 0.037) and shown to be significantly higher in PCa than in BPH in the mRNA and nucleic acid cohort analyses (P < 0.001 and P = 0.013, respectively). Receiver operating characteristic (ROC) analysis showed that the area under the ROC curve was 0.898 and 0.676 in tissue mRNA cohort and urinary nucleic acid cohort, respectively. The TSPAN13-to-S100A9 ratio showed a strong potential as a diagnostic marker for PCa. The present results suggest that the analysis of urine supernatant can be used as a simple diagnostic method for PCa that can be adapted to the clinical setting in the future.
Aged
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Aged, 80 and over
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Biomarkers, Tumor/*genetics/*urine
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Calgranulin B/*genetics
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Cohort Studies
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Humans
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Male
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Middle Aged
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Nucleic Acids/*genetics/*urine
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Oligonucleotide Array Sequence Analysis
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Prostate/metabolism
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Prostatic Hyperplasia/diagnosis/genetics/urine
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Prostatic Neoplasms/diagnosis/*genetics/*urine
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RNA, Messenger/genetics/metabolism
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RNA, Neoplasm/genetics/metabolism
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ROC Curve
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Real-Time Polymerase Chain Reaction
;
Tetraspanins/*genetics
4.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
;
classification
;
diagnosis
;
pathology
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Male
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Neoplasms
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genetics
;
metabolism
;
pathology
;
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
;
metabolism
5.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
6.Prostate Specific Membrane Antigen mRNA in Blood as a Potential Predictor of Biochemical Recurrence after Radical Prostatectomy.
Jae Young JOUNG ; Kang Su CHO ; Han Soo CHUNG ; In Chang CHO ; Jung Eun KIM ; Ho Kyung SEO ; Jinsoo CHUNG ; Weon Seo PARK ; Moon Kyung CHOI ; Kang Hyun LEE
Journal of Korean Medical Science 2010;25(9):1291-1295
We investigated whether the detection of prostate specific membrane antigen (PSMA) in blood preoperatively has predictive value for biochemical recurrence (BCR) after radical prostatectomy in patients with prostate cancer. All 134 patients scheduled to receive radical prostatectomy for prostate cancer were prospectively enrolled. The authors used nested reverse transcriptase-polymerase chain reaction (RT-PCR) assay to detect PSMA mRNA-bearing cells in peripheral blood, and analyzed the ability of PSMA mRNA positivity to predict BCR after surgery. PSMA-mRNA was detected in 24 (17.9%) patients by RT-PCR. Over a median follow-up of 20 months (range, 3 to 46 months), BCR developed in 15 patients (11.2%) and median time to BCR was 7 months (range, 3 to 25 months). Kaplan-Meier analysis revealed a significant difference between those positive or negative for PSMA in terms of recurrence-free actuarial probability (log rank P=0.0039). Multivariate analysis showed that positivity for PSMA mRNA (HR: 3.697, 95% CI 1.285-10.634, P=0.015) and a biopsy Gleason score of > or =7 (HR: 4.500, 95% CI 1.419-14.274, P=0.011) were independent preoperative predictors of BCR. The presence of PSMA mRNA in peripheral blood can be used to predict BCR after radical prostatectomy.
Aged
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Antigens, Surface/*blood/genetics
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Glutamate Carboxypeptidase II/*blood/genetics
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Humans
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Male
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Middle Aged
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Neoplasm Recurrence, Local/blood/*diagnosis
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Predictive Value of Tests
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*Prostatectomy
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Prostatic Neoplasms/blood/*diagnosis/surgery
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RNA, Messenger/*blood
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Reverse Transcriptase Polymerase Chain Reaction
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Severity of Illness Index
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Time Factors
7.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
8.Identification of new genetic risk factors for prostate cancer.
Michelle GUY ; Zsofia KOTE-JARAI ; Graham G GILES ; Ali Amin Al OLAMA ; Sarah K JUGURNAUTH ; Shani MULHOLLAND ; Daniel A LEONGAMORNLERT ; Stephen M EDWARDS ; Jonathan MORRISON ; Helen I FIELD ; Melissa C SOUTHEY ; Gianluca SEVERI ; Jenny L DONOVAN ; Freddie C HAMDY ; David P DEARNALEY ; Kenneth R MUIR ; Charmaine SMITH ; Melisa BAGNATO ; Audrey T ARDERN-JONES ; Amanda L HALL ; Lynne T O'BRIEN ; Beatrice N GEHR-SWAIN ; Rosemary A WILKINSON ; Angela COX ; Sarah LEWIS ; Paul M BROWN ; Sameer G JHAVAR ; Malgorzata TYMRAKIEWICZ ; Artitaya LOPHATANANON ; Sarah L BRYANT ; null ; null ; null ; Alan HORWICH ; Robert A HUDDART ; Vincent S KHOO ; Christopher C PARKER ; Christopher J WOODHOUSE ; Alan THOMPSON ; Tim CHRISTMAS ; Chris OGDEN ; Cyril FISHER ; Charles JAMESON ; Colin S COOPER ; Dallas R ENGLISH ; John L HOPPER ; David E NEAL ; Douglas F EASTON ; Rosalind A EELES
Asian Journal of Andrology 2009;11(1):49-55
There is evidence that a substantial part of genetic predisposition to prostate cancer (PCa) may be due to lower penetrance genes which are found by genome-wide association studies. We have recently conducted such a study and seven new regions of the genome linked to PCa risk have been identified. Three of these loci contain candidate susceptibility genes: MSMB, LMTK2 and KLK2/3. The MSMB and KLK2/3 genes may be useful for PCa screening, and the LMTK2 gene might provide a potential therapeutic target. Together with results from other groups, there are now 23 germline genetic variants which have been reported. These results have the potential to be developed into a genetic test. However, we consider that marketing of tests to the public is premature, as PCa risk can not be evaluated fully at this stage and the appropriate screening protocols need to be developed. Follow-up validation studies, as well as studies to explore the psychological implications of genetic profile testing, will be vital prior to roll out into healthcare.
Genetic Predisposition to Disease
;
genetics
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Genetic Testing
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Humans
;
Kallikreins
;
genetics
;
Male
;
Membrane Proteins
;
genetics
;
Prostatic Neoplasms
;
diagnosis
;
genetics
;
Prostatic Secretory Proteins
;
genetics
;
Protein-Serine-Threonine Kinases
;
genetics
;
Risk Factors
9.Molecular markers in prostate cancer. Part I: predicting lethality.
Sachin AGRAWAL ; William D DUNSMUIR
Asian Journal of Andrology 2009;11(1):14-21
Assessing the lethality of 'early,' potentially organ-confined prostate cancer (PCa) is one of the central controversies in modern-day urological clinical practice. Such cases are often considered for radical 'curative' treatment, although active surveillance may be equally appropriate for many men. Moreover, the balance between judicious intervention and overtreatment can be difficult to judge. The patient's age, comorbidities, family history and philosophy of self-health care can be weighed against clinical features such as the palpability of disease, the number and percentage of biopsy cores involved with the disease, histological grade, presenting prostate-specific antigen (PSA) and possible previous PSA kinetics. For many years, scientists and physicians have sought additional molecular factors that may be predictive for disease stage, progression and lethality. Usually, claims for a 'new' unique marker fall short of true clinical value. More often than not, such molecular markers are useful only in multivariate models. This review summarizes relevant molecular markers and models reported up to and including 2008.
Antigens, Neoplasm
;
urine
;
Biomarkers, Tumor
;
genetics
;
metabolism
;
Humans
;
Male
;
Predictive Value of Tests
;
Prognosis
;
Prostate-Specific Antigen
;
blood
;
Prostatic Neoplasms
;
diagnosis
;
metabolism
;
mortality
;
Sensitivity and Specificity
10.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
;
metabolism
;
surgery
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Aged
;
Biomarkers, Tumor
;
metabolism
;
Cadherins
;
genetics
;
metabolism
;
Case-Control Studies
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Gene Expression Profiling
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Gene Expression Regulation, Neoplastic
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Humans
;
Ki-67 Antigen
;
genetics
;
metabolism
;
Male
;
Middle Aged
;
Prognosis
;
Prostate
;
metabolism
;
pathology
;
Prostate-Specific Antigen
;
blood
;
Prostatectomy
;
Prostatic Neoplasms
;
diagnosis
;
metabolism
;
surgery
;
Proto-Oncogene Proteins c-bcl-2
;
genetics
;
metabolism
;
Risk Factors
;
Tumor Suppressor Protein p53
;
genetics
;
metabolism

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