Literature DB >> 8084836

DNA ploidy measurements in prostate cancer: differences between image analysis and flow cytometry and clinical implications.

A Pindur1, S Chakraborty, D G Welch, T M Wheeler.   

Abstract

The relationship between DNA ploidy and prognostic parameters has been established in prostate cancer. However, comparison of various techniques used for DNA ploidy analysis has not been sufficiently addressed in prostate carcinoma. In the present study, grossly identified discrete carcinoma foci from 48 consecutive radical prostatectomy specimens were analyzed by flow cytometry and image analysis using both imprints and tissue sections. Correlations with other prognostically important pathological findings such as grade, size, extracapsular extension, positive surgical margin, and seminal vesicle and lymph node involvement were done. Image analysis detected 26 (54.2%) nondiploid tumors compared to 15 (31.3%) nondiploid tumors by flow cytometry. No significant differences were demonstrated between imprints and tissue sections. DNA ploidy status showed a good correlation with most other pathological findings listed above. In conclusion, DNA ploidy status determination gives clinically useful information which correlates well with the other useful pathological parameters of prognostic importance. Image analysis may be more sensitive than flow cytometry in detecting nondiploid populations. Tissue sections appear to be as reliable as imprints when properly controlled.

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Year:  1994        PMID: 8084836     DOI: 10.1002/pros.2990250404

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  5 in total

1.  Three-dimensional DNA image cytometry by optical projection tomographic microscopy for early cancer diagnosis.

Authors:  Nitin Agarwal; Alberto M Biancardi; Florence W Patten; Anthony P Reeves; Eric J Seibel
Journal:  J Med Imaging (Bellingham)       Date:  2014-06-20

2.  AgNOR quantity in needle biopsy specimens of prostatic adenocarcinomas: correlation with proliferation state, Gleason score, clinical stage, and DNA content.

Authors:  D Trerè; A Zilbering; D Dittus; P Kim; P C Ginsberg; I Daskal
Journal:  Clin Mol Pathol       Date:  1996-08

3.  Quantitative pathology: historical background, clinical research and application of nuclear morphometry and DNA image cytometry.

Authors:  Abdelbaset Buhmeida
Journal:  Libyan J Med       Date:  2006-09-20       Impact factor: 1.657

4.  DNA index determination with Automated Cellular Imaging System (ACIS) in Barrett's esophagus: comparison with CAS 200.

Authors:  Qin Huang; Chenggong Yu; Michael Klein; James Fang; Raj K Goyal
Journal:  BMC Clin Pathol       Date:  2005-08-12

5.  Nuclear morphometry and ploidy of normal and neoplastic haemocytes in mussels.

Authors:  Francesca Carella; Gionata De Vico; Gabriel Landini
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

  5 in total

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