Comparison of morphometry and DNA flow cytometry with standard prognostic factors in bladder cancer. 1990

P K Lipponen, and Y Collan, and M J Eskelinen, and E Pesonen, and M Sotarauta, and S Nordling
Department of Pathology, University of Kuopio, Finland.

In 83 bladder cancer patients with adequate follow-up (mean 13 years, range 9-22) the prognostic value of morphometric, DNA flow cytometric and clinical parameters was assessed. Paraffin embedded material was used in flow cytometry. Univariate life-table analysis showed the statistically significant relation of clinical stage, histological grade, mean nuclear area, the Standard Deviation (SD) of nuclear area, mean maximal nuclear diameter, mean nuclear perimeter and the volume corrected mitotic index (M/V index) to survival when bladder cancer deaths alone were used in the analysis. The recurrence of bladder cancer could be predicted with the M/V index. Survival analysis with Cox's regression model pointed to primary tumour clinical stage as the most important prognostic factor of crude survival. Histologically, grade and the SD of nuclear area were the best prognostic factors. Primary tumour stage and histological grade were the best predictors of death from bladder cancer. In Cox's model, histoquantitative methods are almost as good as clinical staging in predicting prognosis. DNA flow cytometry of paraffin embedded material offered no advantage over clinical stage, histological grade or morphology in assessing prognosis.

UI MeSH Term Description Entries
D007399 Interphase The interval between two successive CELL DIVISIONS during which the CHROMOSOMES are not individually distinguishable. It is composed of the G phases (G1 PHASE; G0 PHASE; G2 PHASE) and S PHASE (when DNA replication occurs). Interphases
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D008940 Mitotic Index An expression of the number of mitoses found in a stated number of cells. Index, Mitotic,Indices, Mitotic,Mitotic Indices
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
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
D001749 Urinary Bladder Neoplasms Tumors or cancer of the URINARY BLADDER. Bladder Cancer,Bladder Neoplasms,Cancer of Bladder,Bladder Tumors,Cancer of the Bladder,Malignant Tumor of Urinary Bladder,Neoplasms, Bladder,Urinary Bladder Cancer,Bladder Cancers,Bladder Neoplasm,Bladder Tumor,Cancer, Bladder,Cancer, Urinary Bladder,Neoplasm, Bladder,Neoplasm, Urinary Bladder,Tumor, Bladder,Tumors, Bladder,Urinary Bladder Neoplasm
D002295 Carcinoma, Transitional Cell A malignant neoplasm derived from TRANSITIONAL EPITHELIAL CELLS, occurring chiefly in the URINARY BLADDER; URETERS; or RENAL PELVIS. Carcinomas, Transitional Cell,Cell Carcinoma, Transitional,Cell Carcinomas, Transitional,Transitional Cell Carcinoma,Transitional Cell Carcinomas
D004273 DNA, Neoplasm DNA present in neoplastic tissue. Neoplasm DNA
D005260 Female Females

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