Biomaterial Database

Serial determinations of aminoterminal propeptide of type III procollagen (PIIINP) and prognosis in ovarian cancer; comparison to CA125. 2000

M Simojoki, and M Santala, and J Risteli, and L Risteli, and A Kauppila

Department of Obstetrics and Gynecology, University of Oulu, FIN-90220 Oulu, Finland.

During malignant growth many changes take place in the metabolism of fibrillar type III collagens in the connective tissues. The aminoterminal propeptide of type III procollagen (PIIINP) has been found to be often elevated in ovarian cancer. In the present study the prognostic value of serum PIIINP concentration in epithelial ovarian cancer is evaluated in relation to serum CA125. Fifty-six women were enrolled in the study. Serial venous blood samples were taken preoperatively and 6, 9 and 12 months after operation for PIIINP and CA125 determinations. The results were correlated to the three-year survival. In Kaplan-Meier survival analysis the preoperative (P = 0.0422), 9-month (P = 0.0062) and 12-month (P = 0.0062) serum PIIINP concentration distinguished between the patients with good and poor prognosis while CA125 did so only at 9- (P = 0.0005) and 12-month (P < 0.0001) follow-up. In the multivariate analysis the independent predictors of prognosis were the preoperative PIIINP and 12-month CA125 concentrations. The percentage changes in serum PIIINP concentration did not differentiate the patients with good or poor prognosis at any time point, whereas the changes in CA125 concentration significantly divided the patients into two prognostic groups during the second half of the postoperative year. We found that PIIINP and CA125 are complementary to each other as predictors of prognosis in epithelial ovarian cancer as preoperative PIIINP was better than CA125 and 1-year CA125 better than PIIINP in this function.

UI	MeSH Term	Description	Entries
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D010051	Ovarian Neoplasms	Tumors or cancer of the OVARY. These neoplasms can be benign or malignant. They are classified according to the tissue of origin, such as the surface EPITHELIUM, the stromal endocrine cells, and the totipotent GERM CELLS.	Cancer of Ovary,Ovarian Cancer,Cancer of the Ovary,Neoplasms, Ovarian,Ovary Cancer,Ovary Neoplasms,Cancer, Ovarian,Cancer, Ovary,Cancers, Ovarian,Cancers, Ovary,Neoplasm, Ovarian,Neoplasm, Ovary,Neoplasms, Ovary,Ovarian Cancers,Ovarian Neoplasm,Ovary Cancers,Ovary Neoplasm
D010446	Peptide Fragments	Partial proteins formed by partial hydrolysis of complete proteins or generated through PROTEIN ENGINEERING techniques.	Peptide Fragment,Fragment, Peptide,Fragments, Peptide
D011237	Predictive Value of Tests	In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.	Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011347	Procollagen	A biosynthetic precursor of collagen containing additional amino acid sequences at the amino-terminal and carboxyl-terminal ends of the polypeptide chains.	Protocollagen,Procollagen Type M
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
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults