The Anatomic Distribution and Pathological Characteristics of Prostate Cancer: A Mapping Analysis

Kang, Taejin; Song, Cheryn; Song, Gi Won; Shin, Gil Hyun; Shin, Doh Chull; Kim, Choung‐Soo; Ahn, Hanjong

doi:10.4111/kju.2006.47.6.578

Cited by 5 publications

(7 citation statements)

References 20 publications

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“…We used additional clinicopathological information collected from 2005-2006 at the Asan Medical Center in Korea [ 17 , 18 ] and in 2006 at the National Cancer Center in Korea [ 19 ] (Table 5 ) to further characterize prostate cancer patients. Tumor, node, and metastases (TNM) stage and histopathological classifications were analyzed according to the World Health Organization (WHO) system.…”

Section: Resultsmentioning

confidence: 99%

Short rare hTERT-VNTR2-2nd alleles are associated with prostate cancer susceptibility and influence gene expression

Yoon

Jung

et al. 2010

BMC Cancer

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BackgroundThe hTERT (human telomerase reverse transcriptase) gene contains five variable number tandem repeats (VNTR) and previous studies have described polymorphisms for hTERT-VNTR2-2nd. We investigated how allelic variation in hTERT-VNTR2-2nd may affect susceptibility to prostate cancer.MethodsA case-control study was performed using DNA from 421 cancer-free male controls and 329 patients with prostate cancer. In addition, to determine whether the VNTR polymorphisms have a functional consequence, we examined the transcriptional levels of a reporter gene linked to these VNTRs and driven by the hTERT promoter in cell lines.ResultsThree new rare alleles were detected from this study, two of which were identified only in cancer subjects. A statistically significant association between rare hTERT-VNTR2-2nd alleles and risk of prostate cancer was observed [OR, 5.17; 95% confidence interval (CI), 1.09-24.43; P = 0.021]. Furthermore, the results indicated that these VNTRs inserted in the enhancer region could influence the expression of hTERT in prostate cancer cell lines.ConclusionsThis is the first study to report that rare hTERT VNTRs are associated with prostate cancer predisposition and that the VNTRs can induce enhanced levels of hTERT promoter activity in prostate cancer cell lines. Thus, the hTERT-VNTR2-2nd locus may function as a modifier of prostate cancer risk by affecting gene expression.

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Section: Resultsmentioning

confidence: 99%

Short rare hTERT-VNTR2-2nd alleles are associated with prostate cancer susceptibility and influence gene expression

Yoon

Jung

et al. 2010

BMC Cancer

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“…Consequently, in 2006 Kang et al [7], they made a Korean patients oriented prostate tumor map through 186 patients. However, they only suggested distribution of prostate cancer about similar size.…”

Section: Discussionmentioning

confidence: 99%

“…As technical point of view, Kang et al [7] does not defined with different size of prostate, we enhanced that reconstructing the 3D distribution of prostate cancer using normalization method. Therefore we presented distribution of prostate cancers regardless of their size.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we present a tool for distribution of prostate cancer in Korean from 2D legacy images, this would be helpful to detect prostate cancer accurately. As technical point of view, Kang et al [ 7 ] does not defined with different size of prostate, we enhanced that reconstructing the 3D distribution of prostate cancer using normalization method. Therefore we presented distribution of prostate cancers regardless of their size.…”

Section: Introductionmentioning

confidence: 99%

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Statistical 3D Distribution Analysis of Prostate Cancers in Korean Using Digital Processing Techniques

et al. 2011

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ObjectivesSeveral researchers have shown that three dimensional (3D) distribution analysis of prostate cancer is helpful when initiating needle biopsy procedures. Knowledge regarding the distribution of prostate cancer could enhance understanding of the pathophysiology involved and improve detection of these malignancies. We propose utilizing digital processing techniques to analyze prostate cancer distribution in a 3D setting.MethodsPre-made radical prostatectomy sample slices were digitized with a resolution of 76 dpi. Slices of each sample were aligned and registered by deformation algorithm and interpolated for analysis of relative distribution statistics. We analyzed 80 samples saved in electronic medical record and compared the detection rate of preoperative needle biopsies and radical prostatectomies using our 3D analysis technique.ResultsThe statistical 3D distribution of prostate cancer was evaluated using a 36-sector process. Results were represented in the following two ways: distribution of a single patient, and statistical distribution of prostate cancers of multiple patients. The overall concordance rate was 62.7% between the two methods; therefore a technique is needed which can raise this percentage.ConclusionsWe suggest using the normalization method to develop a software tool which permits reconstruction of the 3D distribution of prostate cancer from 2D legacy images and reduces the loss of image quality as well. This application will facilitate detection of prostate cancer by aiding in the determination of the most effective clinical position via partial sampling with decreased patient inconvenience.

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“…# Statistically significant (P < 0.05). (Song et al, 2005;Kang et al, 2006) and from the data of the National Cancer Center in Korea in the year 2006 (Lee et al, 2008) was used. Tumor, node, and metastases (TNM) stage and histopathological classifications were analyzed according to the World Health Organization (WHO) system.…”

Section: Subjectsmentioning

confidence: 99%

Variants of BORIS minisatellites and relation to prognosis of prostate cancer

et al. 2011

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BORIS, a member of the cancer-testis antigen family with testis specific expression, showed abnormal expression in various cancer types including prostate cancer. In our previous work, we identified the polymorphic minisatellite, BORIS-MS2, located in the promoter region of BORIS. BORIS-MS2 was revealed as a polymorphic minisatellite that contains seven alleles each with different numbers of the repeat unit. We assessed the association between the allelic variation of BORIS-MS2 and prostate cancer by a case-control study. Using a PCR-based method, 315 cancer-free male controls and 648 cases with prostate cancer were genotyped. There was no significant difference observed in the overall distribution of this minisatellite, which indicates that this polymorphism is not responsible for prostate cancer susceptibility in the Korean population. Additionally, two new rare alleles (9 and 19 copies) were detected in this study, which were identified only in cancer subjects. When we compared the clinicopathological information with the Jewett-Whitmore system of prostate cancer classification, the frequency of rare allele cases in the higher grade was significantly higher than in the total prostate group (P = 0.032). The higher grades in the Jewett-Whitmore system were associated with a poor prognosis. Therefore, this result suggests that the rare alleles of BORIS-MS2 may be used as a marker of poor outcome in prostate cancer patients.

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The Anatomic Distribution and Pathological Characteristics of Prostate Cancer: A Mapping Analysis

Cited by 5 publications

References 20 publications

Short rare hTERT-VNTR2-2nd alleles are associated with prostate cancer susceptibility and influence gene expression

Short rare hTERT-VNTR2-2nd alleles are associated with prostate cancer susceptibility and influence gene expression

Statistical 3D Distribution Analysis of Prostate Cancers in Korean Using Digital Processing Techniques

Variants of BORIS minisatellites and relation to prognosis of prostate cancer

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