Biomaterial Database

Steroid hormone receptor content and lymph node status in endometrial cancer. 1995

P C Morris, and J R Anderson, and B Anderson, and R E Buller

Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City 52242-1009, USA.

The purpose of this study was to correlate the steroid hormone receptor status in endometrial adenocarcinoma with tumor metastasis to the pelvic and para-aortic lymph nodes, and with other known prognostic variables which influence survival. Tumor samples from 85 patients with endometrioid adenocarcinoma, or adenocarcinoma with squamous differentiation of the endometrium who underwent complete surgical staging, were assayed for cytoplasmic steroid hormone receptors using a dextran-coated charcoal technique. Steroid hormone receptor content was correlated to lymph node status, along with other prognostic variables, such as patient's age, depth of myometrial invasion, tumor grade, and pelvic cytology. By univariate analysis, the likelihood of nodal involvement was associated with younger age and poorly differentiated tumors. Multivariate analysis revealed that age, tumor grade, and myometrial involvement added significant independent prognostic information. Estrogen or progesterone receptor content did not add independent prognostic information concerning lymph node status once other factors were controlled. Knowledge of estrogen and progesterone receptor binding status in adenocarcinoma of the uterus does not replace the prognostic information imparted by careful sampling of lymph nodes.

UI	MeSH Term	Description	Entries
D008207	Lymphatic Metastasis	Transfer of a neoplasm from its primary site to lymph nodes or to distant parts of the body by way of the lymphatic system.	Lymph Node Metastasis,Lymph Node Metastases,Lymphatic Metastases,Metastasis, Lymph Node
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D009364	Neoplasm Recurrence, Local	The local recurrence of a neoplasm following treatment. It arises from microscopic cells of the original neoplasm that have escaped therapeutic intervention and later become clinically visible at the original site.	Local Neoplasm Recurrence,Local Neoplasm Recurrences,Locoregional Neoplasm Recurrence,Neoplasm Recurrence, Locoregional,Neoplasm Recurrences, Local,Recurrence, Local Neoplasm,Recurrence, Locoregional Neoplasm,Recurrences, Local Neoplasm,Locoregional Neoplasm Recurrences,Neoplasm Recurrences, Locoregional,Recurrences, Locoregional Neoplasm
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
D011960	Receptors, Estrogen	Cytoplasmic proteins that bind estrogens and migrate to the nucleus where they regulate DNA transcription. Evaluation of the state of estrogen receptors in breast cancer patients has become clinically important.	Estrogen Receptor,Estrogen Receptors,Estrogen Nuclear Receptor,Estrogen Receptor Type I,Estrogen Receptor Type II,Estrogen Receptors Type I,Estrogen Receptors Type II,Receptor, Estrogen Nuclear,Receptors, Estrogen, Type I,Receptors, Estrogen, Type II,Nuclear Receptor, Estrogen,Receptor, Estrogen
D011980	Receptors, Progesterone	Specific proteins found in or on cells of progesterone target tissues that specifically combine with progesterone. The cytosol progesterone-receptor complex then associates with the nucleic acids to initiate protein synthesis. There are two kinds of progesterone receptors, A and B. Both are induced by estrogen and have short half-lives.	Progesterone Receptors,Progestin Receptor,Progestin Receptors,Receptor, Progesterone,Receptors, Progestin,Progesterone Receptor,Receptor, Progestin
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
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