Predictors of Seminal Vesicle Invasion Before Radical Prostatectomy

Tsurumaki, Yuzuri; Tomita, Kyouichi; Kume, Hitoshi; Takahashi, Shojiro; Takeuchi, T; Kitamura, Takayuki

doi:10.1016/s1569-9056(06)60878-6

Cited by 4 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We first investigated possible correlations with the number of cores found to contain malignant or premalignant lesions on biopsy. The importance of this parameter has been demonstrated by several investigators (12)(13)(14)(15). We found that the Ct value of GSTP1, a measure of the relative methylation level, showed a good Pearson correlation (R ϭ 0.84, P ϭ 0.008) with the number of positive cores on biopsy (Fig.…”

Section: Correlations With Clinicopathologic Parameterssupporting

confidence: 54%

Development of a Multiplexed Urine Assay for Prostate Cancer Diagnosis

Dhir¹

2009

Yearbook of Pathology and Laboratory Medicine

View full text Add to dashboard Cite

BACKGROUND: Several studies have demonstrated the value of DNA methylation in urine-based assays for prostate cancer diagnosis. However, a multicenter validation with a clinical prototype has not been published. METHODS: We developed a multiplexed, quantitative methylation-specific polymerase chain reaction (MSP) assay consisting of 3 methylation markers, GSTP1, RARB, and APC, and an endogenous control, ACTB, in a closed-tube, homogeneous assay format. We tested this format with urine samples collected after digital rectal examination from 234 patients with prostatespecific antigen (PSA) concentrations Ն2.5 g/L in 2 independent patient cohorts from 9 clinical sites. RESULTS: In the first cohort of 121 patients, we demonstrated 55% sensitivity and 80% specificity, with area under the curve (AUC) 0.69. In the second independent cohort of 113 patients, we found a comparable sensitivity of 53% and specificity of 76% (AUC 0.65). In the first cohort, as well as in a combined cohort, the MSP assay in conjunction with total PSA, digital rectal examination status, and age improved the AUC without MSP, although the difference was not statistically significant. Importantly, the GSTP1 cycle threshold value demonstrated a good correlation (R ϭ 0.84) with the number of cores found to contain prostate cancer or premalignant lesions on biopsy. Moreover, samples that exhibited methylation for either GSTP1 or RARB typically contained higher tumor volumes at prostatectomy than those samples that did not exhibit methylation. CONCLUSIONS: These data confirm and extend previously reported studies and demonstrate the performance of a clinical prototype assay that should aid urologists in identifying men who should undergo biopsy.

show abstract

Section: Correlations With Clinicopathologic Parameterssupporting

confidence: 54%

Development of a Multiplexed Urine Assay for Prostate Cancer Diagnosis

Dhir¹

2009

Yearbook of Pathology and Laboratory Medicine

View full text Add to dashboard Cite

show abstract

“…SVI is an important prognostic factor for recurrence after radical prostatectomy 1–6 . With an early detection program using serum PSA, the incidence of SVI in a series of radical prostatectomies has declined, 7 and, therefore, some investigators have questioned the complete resection of seminal vesicles at surgery 8,9 .…”

Section: Discussionmentioning

confidence: 99%

“…While Tsurumaki et al. reported that the percent of cores with cancer may be a useful predictor for SVI in the 187 patients with clinically localized prostate cancer, 4 Koh et al. reported that only the status of cancer in biopsy cores from the base of the prostate was a significant predictor of SVI and the percent of cores with cancer and the percent of cancer in all cores had no significant association with SVI on multivariate analysis 12 .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Nomogram to predict seminal vesicle invasion using the status of cancer at the base of the prostate on systematic biopsy

Ohori

Kattan

et al. 2010

Int J of Urology

View full text Add to dashboard Cite

Objective: The aim of this study was to predict seminal vesicle invasion (SVI) by developing a new nomogram based on clinical features including the status of cancer at the base of the prostate on systematic biopsy. Methods: We studied the 466 patients with T1-3N0M0 prostate cancer who were treated with radical prostatectomy at three institutions. Preoperative clinical variables were correlated with the presence or absence of SVI with an area under the curve (AUC) of receiver-operator characteristics analysis. A nomogram was developed to predict SVI based on logistic regression analysis. Results: A total of 81 patients (17%) had SVI. Cancer was present in a biopsy core from the base of the prostate in 209 patients, of whom 32.5% had SVI, compared with only 5% of the 257 patients without cancer at the base of the prostate (P < 0.005). On multivariate analysis, serum prostate-specific antigen, biopsy Gleason score, clinical T stage, and presence or absence of cancer in a biopsy core at the base of the prostate were significant predictors of SVI (P < 0.005 for all). The AUC of a standard model including clinical stage, Gleason score, and prostate-specific antigen was 0.83, which was significantly enhanced by including the presence of cancer at the base of the prostate (none, unilateral or bilateral lobes) (AUC 0.87, P = 0.023). Based on the logistic analysis, we developed the nomogram to predict SVI. The calibration plots appeared to be excellent. Conclusion: The information of presence or absence of cancer at the base from prostate biopsy and the resulting nomogram allow an accurate prediction of SVI in patients undergoing radical prostatectomy for prostate cancer.

show abstract

“…Com base nos achados, foi construída uma tabela contendo o nome dos autores e ano das publicações, assim como os dados sobre o número de pacientes, médias de idade, PSA e número de fragmentos colhidos na biópsia, e ainda um resumo dos principais resultados com suas significâncias estatísticas [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] .…”

Section: Resultsunclassified

O Percentual de Fragmentos Acometidos na Biópsia como Preditor da Extensão do Câncer de Próstata: Revisão Sistemática

Andrade

Filho²,

Lucena

et al. 2010

Rev. Bras. Cancerol.

View full text Add to dashboard Cite

O objetivo do presente estudo foi realizar uma revisão sistemática de estudos que avaliaram a associação do percentual de fragmentos acometidos por câncer na biópsia prostática com a extensão tumoral na peça cirúrgica. Com base em estratégia de revisão sistemática do programa de pós-graduação da Universidade Federal de Pernambuco, foram identificadas 979 publicações nas bases de dados: PubMed, Lilacs, SciELO e Medline; entre as quais, por um conjunto de critérios de inclusão/exclusão, foram selecionados 20 artigos publicados entre 2000 e 2009. Em 13 artigos, o percentual de fragmentos acometidos foi considerado como um excelente preditor do estadiamento cirúrgico. Em dois trabalhos na literatura, os autores sugeriram dois pontos de corte diferentes (“cut-off”), de 33% e 37,5%, no percentual de fragmentos acometidos para a estratificação de doença extraprostática em baixo e alto riscos. Concluiu-se que o percentual de fragmentos acometidos na biópsia prostática é uma ferramenta importante na avaliação prognóstica do paciente, e deve ser utilizada em conjunto com as outras ferramentas já consagradas para oferecer a melhor opção terapêutica.

show abstract

Predictors of Seminal Vesicle Invasion Before Radical Prostatectomy

Cited by 4 publications

References 0 publications

Development of a Multiplexed Urine Assay for Prostate Cancer Diagnosis

Development of a Multiplexed Urine Assay for Prostate Cancer Diagnosis

Nomogram to predict seminal vesicle invasion using the status of cancer at the base of the prostate on systematic biopsy

O Percentual de Fragmentos Acometidos na Biópsia como Preditor da Extensão do Câncer de Próstata: Revisão Sistemática

Contact Info

Product

Resources

About