Literature DB >> 1688728

Nucleolar prominence as a diagnostic variable in prostatic carcinoma.

P R Kelemen1, R J Buschmann, P Weisz-Carrington.   

Abstract

The diagnosis of well-differentiated adenocarcinoma of the prostate can be difficult on needle biopsy specimens. Nucleolar prominence has proven to be a useful diagnostic variable, but its objective evaluation has had limited study. To find nucleolar criteria that might differentiate benign from malignant conditions, we examined 41 open prostatectomy specimens, 25 of which were removed for well-differentiated adenocarcinoma and 16 of which were removed for benign prostatic hypertrophy (BPH). Four acini of carcinoma, prostatic intraepithelial neoplasia (PIN), atypical adenomatous hyperplasia (AAH), nodular hyperplasia, and normal tissue were examined. The total number of nuclei with nucleoli 3 microns or greater (N'), the fraction of nuclei with nucleoli 3 microns or greater (N'/N), and the average diameters of nucleoli 3 microns or greater (AVG) were recorded. Hyperplastic and normal areas, when compared with carcinoma, had significantly smaller N',N'/N, and AVG values (P less than 0.005). The N' and N'/N values were significantly higher in hyperplasia when compared with normal acini (P less than 0.005). In addition, N' and N'/N values in PIN were significantly greater than those in AAH (P less than 0.0001). In comparing prostates with and without carcinoma, N' and N'/N were significantly different for hyperplastic areas. In only two cancer areas and one PIN area was the N'/N ratio less than 0.31, which was the highest value for either hyperplastic or normal areas. Although AVG also were significantly different, they did not improve discrimination between the groups. We conclude that N'/N ratios are useful in diagnosing well-differentiated prostatic adenocarcinoma on small tissue samples.

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Year:  1990        PMID: 1688728     DOI: 10.1002/1097-0142(19900215)65:4<1017::aid-cncr2820650429>3.0.co;2-f

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  Value of quantitative nucleolar features in the preoperative cytological diagnosis of follicular neoplasias of the thyroid.

Authors:  R Montironi; A Braccischi; M Scarpelli; G Matera; R Alberti
Journal:  J Clin Pathol       Date:  1991-06       Impact factor: 3.411

2.  Prostate Cancer - Old Problems and New Approaches. (Part II. Diagnostic and Prognostic Markers, Pathology and Biological Aspects).

Authors:  Kenneth V Honn; Amer Aref; Yong Q Chen; Michael L Cher; John D Crissman; Jeffrey D Forman; Xiang Gao; David Grignon; Maha Hussain; Arthur T Porter; Edson J Pontes; Bruce Redman; Wael Sakr; Richard Severson; Dean G Tang; David P Wood
Journal:  Pathol Oncol Res       Date:  1996       Impact factor: 3.201

3.  Nucleolar organizer regions in low- and high-grade carcinomas of the prostate.

Authors:  B Helpap; C Riede
Journal:  World J Urol       Date:  1995       Impact factor: 4.226

4.  Quantitative analysis of nucleolar margination in diagnostic cytopathology.

Authors:  R Montironi; M Scarpelli; A Braccischi; C Magi Galluzzi; L Diamanti; R Alberti
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1991

5.  Nucleolar and dispersed nucleolar organiser regions (NORs) in differentiating neoplastic from atypical non-neoplastic lesions of the pancreas.

Authors:  M Sato; H Watanabe; Y Ajioka; Y Noda; Y Sakai
Journal:  Gastroenterol Jpn       Date:  1993-02

6.  Specific detection of prostate cancer cells in urine by multiplex immunofluorescence cytology.

Authors:  Kazutoshi Fujita; Christian P Pavlovich; George J Netto; Yuko Konishi; William B Isaacs; Syed Ali; Angelo De Marzo; Alan K Meeker
Journal:  Hum Pathol       Date:  2009-04-14       Impact factor: 3.466

7.  Nitrogen-doped carbon dots for wash-free imaging of nucleolus orientation.

Authors:  Li Zhang; Zihan Wang; Huiping Wang; Wenjuan Dong; Yang Liu; Qin Hu; Shaomin Shuang; Chuan Dong; Xiaojuan Gong
Journal:  Mikrochim Acta       Date:  2021-05-10       Impact factor: 5.833

8.  Automated image based prominent nucleoli detection.

Authors:  Choon K Yap; Emarene M Kalaw; Malay Singh; Kian T Chong; Danilo M Giron; Chao-Hui Huang; Li Cheng; Yan N Law; Hwee Kuan Lee
Journal:  J Pathol Inform       Date:  2015-06-23
  8 in total

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