Molecular classification of borderline ovarian tumors using hierarchical cluster analysis of protein expression profiles.

Ovarian tumors range from benign to aggressive malignant tumors, including an intermediate class referred to as borderline carcinoma. The prognosis of the disease is strongly dependent on tumor classification, where patients with borderline tumors have much better prognosis than patients with carcinomas. We here describe the use of hierarchical clustering analysis of quantitative protein expression data for classification of this type of tumor.

Nuclear DNA content, proliferative activity, and p53 expression related to clinical and histopathologic features in endometrial carcinoma.

The purpose of this study was to evaluate the prognostic impact of image cytometry DNA ploidy, MIB-1, and p53 in relation to clinicopathologic variables in 376 consecutive patients with endometrial carcinoma stages I-IV. Following primary treatment 358 patients were considered tumor-free. Relapses and tumor-specific deaths of these patients were noted.

Human papillomavirus infection, centrosome aberration, and genetic stability in cervical lesions.

DNA replication and centrosome duplication have to be strictly synchronized to guarantee genomic stability. p53, pRb, cyclin E, and cyclin A are reported to be involved in the synchronizing process. We investigated the relationship between papillomavirus infection, centrosome aberration and aneuploidy during genesis of cervical carcinoma.

A population-based five-year follow-up study of cervical human papillomavirus infection.

Objective: The purpose of this study was to determine the long-term tendency for cervical human papillomavirus infections to persist in the general population.

Study Design: From 500 women who participated in a 1991 population-based survey, 90 healthy women with normal results of cytologic examination (women with human papillomavirus deoxyribonucleic acid detected and age-matched control women without human papillomavirus deoxyribonucleic acid detected) were interviewed and examined 5 years later colposcopically, cytologically, and with human papillomavirus serologic testing and human papillomavirus deoxyribonucleic acid testing by polymerase chain reaction with 2 different consensus primer pairs (MY09 and MY11 and GP5(+) and GP6(+)), type-specific polymerase chain reaction, and deoxyribonucleic acid sequencing.

Results: The 5-year human papillomavirus clearance rate was 92%.

Classification of human ovarian tumors using multivariate data analysis of polypeptide expression patterns.

Large amounts of data on quantitative gene expression are generated by procedures such as 2-DE analysis of proteins or cDNA microarrays. Quantitative molecular variation may potentially be used for the development of methods for the classification of tumors. We used here the statistical concepts of principal components analysis (PCA) and partial least square analysis (PLS) in an attempt to type ovarian tumors.