DNA-ploidy as prognostic factor in prostatic carcinoma. 1990

O A Haugen, and O Mjølnerød
Department of Pathology/University of Trondheim, Norway.

DNA-ploidy in 143 cases of prostatic carcinoma was assessed by flow cytometric analysis of paraffin-embedded biopsy material. The majority of the tumours (64.3%) were diploid, but in advanced stages the DNA-aneuploidy rate increased from 15 to over 60%. No hypoploid tumour was observed and most of the hyperploid tumours were near-tetraploid. DNA-aneuploidy was also strongly related to histological grade. Survival analysis using Cox multivariate regression model revealed that low histological grade (high Gleason score), advanced stage and increased level of prostatic acid phosphatase were the most important prognostic factors. DNA-ploidy per se did not contribute independently as a predictor of survival.

UI MeSH Term Description Entries
D008297 Male Males
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D011003 Ploidies The degree of replication of the chromosome set in the karyotype. Ploidy
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011471 Prostatic Neoplasms Tumors or cancer of the PROSTATE. Cancer of Prostate,Prostate Cancer,Cancer of the Prostate,Neoplasms, Prostate,Neoplasms, Prostatic,Prostate Neoplasms,Prostatic Cancer,Cancer, Prostate,Cancer, Prostatic,Cancers, Prostate,Cancers, Prostatic,Neoplasm, Prostate,Neoplasm, Prostatic,Prostate Cancers,Prostate Neoplasm,Prostatic Cancers,Prostatic Neoplasm
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004273 DNA, Neoplasm DNA present in neoplastic tissue. Neoplasm DNA
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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