Literature DB >> 12806373

Pathologic characteristics of prostatic adenocarcinomas: a mapping analysis of Korean patients.

S Y Song1, S R Kim, G Ahn, H Y Choi.   

Abstract

Pathologic characteristics of the prostatic adenocarcinoma in Koreans are not clear. We studied 132 cases of prostatectomy specimens using mapping analysis to discover the pathologic characteristics of the Korean prostatic adenocarcinoma. Mean values were as follows: serum prostate-specific antigen level (sPSA), 16.4 ng/ml; tumor volume, 27.5%; size, 2.4 cm; Gleason score, 7.7; and p53 expression, 9.8%. Rates of multifocal tumors and high-grade prostatic intraepithelial neoplasm (HPIN) were 33.3 and 65.2%. The Gleason score, tumor volume%, tumor size and sPSA were correlated with each other. Korean prostatic adenocarcinomas showed higher Gleason scores, lower rates of HPIN and multifocality, and lower p53 expression in comparison to Western prostatic adenocarcinomas. These data may be a basis for pathologic characteristics of Korean prostatic adenocarcinoma that has now been increasing.

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Year:  2003        PMID: 12806373     DOI: 10.1038/sj.pcan.4500636

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  6 in total

1.  The association between KL polymorphism and prostate cancer risk in Korean patients.

Authors:  Hae Jong Kim; Jaehyouk Lee; Shin Young Lee; Hyun Sub Cheong; Young-Sik Kye; Wonyong Kim; Seok-Soo Byun; Soon Chul Myung
Journal:  Mol Biol Rep       Date:  2014-08-14       Impact factor: 2.316

Review 2.  Pathologic basis of focal therapy for early-stage prostate cancer.

Authors:  Vladimir Mouraviev; Janice M Mayes; Thomas J Polascik
Journal:  Nat Rev Urol       Date:  2009-04       Impact factor: 14.432

3.  The association of 5-alpha reductase type 2 (SRD5A2) gene polymorphisms with prostate cancer in a Korean population.

Authors:  Se Young Choi; Hae Jong Kim; Hyun Sub Cheong; Soon Chul Myung
Journal:  Korean J Urol       Date:  2015-01-12

4.  Single nucleotide polymorphisms in DKK3 gene are associated with prostate cancer risk and progression.

Authors:  Min Su Kim; Ha Na Lee; Hae Jong Kim; Soon Chul Myung
Journal:  Int Braz J Urol       Date:  2015 Sep-Oct       Impact factor: 1.541

5.  Multiple cores of high grade prostatic intraepithelial neoplasia and any core of atypia on first biopsy are significant predictor for cancer detection at a repeat biopsy.

Authors:  Tae Sun Kim; Kwang Jin Ko; Seung Jea Shin; Hyun Soo Ryoo; Wan Song; Hyun Hwan Sung; Deok Hyun Han; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Kyu Sung Lee; Sung Won Lee; Hyun Moo Lee; Han Yong Choi; Hwang Gyun Jeon
Journal:  Korean J Urol       Date:  2015-11-26

6.  Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

Authors:  Michela Antonelli; Edward W Johnston; Nikolaos Dikaios; King K Cheung; Harbir S Sidhu; Mrishta B Appayya; Francesco Giganti; Lucy A M Simmons; Alex Freeman; Clare Allen; Hashim U Ahmed; David Atkinson; Sebastien Ourselin; Shonit Punwani
Journal:  Eur Radiol       Date:  2019-06-11       Impact factor: 5.315

  6 in total

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