Biomedical subjects

Roberta Glick

Publications and source records attributed to Roberta Glick.

4 recordsLinked to original sources

PubMed2006

Association of meningioma with reproductive factors.

Meningiomas occur more commonly in females. The coincidence between meningioma and breast cancer and case reports of tumor growth during pregnancy support a hormonal hypothesis. A case control study was conducted to investigate this. Female subjects treated between 1987 and 1992 were identified from 3 hospitals in the Chicago area. Female spouses of male back pain patients were recruited as controls. A self-administered mail questionnaire focused on exogenous, endogenous and other hormonal factors, personal and family medical history as well as radiation exposures. Odds ratios and 95% confidence intervals were estimated using crude, stratified and multivariable logistic models including 219 cases and 260 controls. Participation rates were 86% among cases and 75% among controls. An increased odds ratio (OR) was observed comparing African Americans to Caucasians [OR = 2.4, 95% confidence interval (CI) = 1.0-6.1]. A protective effect was observed for pregnancy, which increased with number and age at first pregnancy. The odds ratio for 3 or more pregnancies compared to none was 0.3 (95% CI = 0.2-0.6). Age at menarche or total period of hormonal activity was not protective. Ever smokers showed a decreased odds ratio for meningioma (OR = 0.6, 95% CI = 0.4-0.9). The increased odds ratios with African Americans was retained in post-menopausal women, while the protective odds ratios for pregnancy, smoking and oral contraceptives (OCs) became stronger in pre-menopausal women. The pattern by duration and timing of use does not suggest an etiologic role for OCs or hormone replacement therapy. These data add to the evidence that factors known to influence endogenous hormones (pregnancy and indirectly smoking) may have protective effects for meningiomas primarily in premenopausal women.

Adult↗

PubMed2005

Epidermoid cyst of the sphenoid sinus with extension into the sella turcica presenting as pituitary apoplexy: case report.

BACKGROUND: Epidermoids of the central nervous system are rare tumors. They are usually found in the fourth decade of life and most commonly off midline in the cerebellopontine angle. We report here a rare case of an epidermoid arising from the sphenoid sinus with extension into the sella and adjacent structures with acute onset of neurological deficit. The significance of the clinical presentation resembling pituitary apoplexy and magnetic resonance imaging (MRI) findings is noted. CASE DESCRIPTION: A 25-year-old man presented with acute severe headache, diplopia, and decreased visual acuity. Examination revealed right-sided ptosis and paresis of the third cranial nerve on the right side. Computed tomography and MRI were suggestive of a slow-growing sphenoid sinus mass with extension into the sella. The sublabial transsphenoidal approach was used to remove the mass under direct visualization. The patient's neurological status improved to baseline both subjectively and objectively after the operation. CONCLUSION: Epidermoids, although rare, should be considered as part of the differential diagnosis when evaluating lesions of sphenoid sinus or sellar origin.

Acute Disease↗

PubMed2003

Genomic expression discovery predicts pathways and opposing functions behind phenotypes.

Discovering states of genetic expression that are true to a high degree of certainty is likely to predict gene function behind biological phenotypes. The states of expression (up- or down-regulated) of 19200 cDNAs in 10 meningiomas are compared with normal brain by an algorithm that detects only 1 false measurement per 192000; 364 genes are discovered. The expression data accurately predict activation of signaling pathways and link gene function to specific phenotypes. Meningiomas appear to acquire aberrant phenotypes by disturbing the balanced expression of molecules that promote opposing functions. The findings expose interconnected genes and propose a role of genomic expression discovery in functional genomics of living systems.

Algorithms↗

PubMed2002

Mathematical modeling of noise and discovery of genetic expression classes in gliomas.

The microarray array experimental system generates noisy data that require validation by other experimental methods for measuring gene expression. Here we present an algebraic modeling of noise that extracts expression measurements true to a high degree of confidence. This work profiles the expression of 19 200 cDNAs in 35 human gliomas; the experiments are designed to generate four replicate spots/gene with switching of probes. The validity of the extracted measurements is confirmed by: (1) cluster analysis that generates a molecular classification differentiating glioblastoma from lower-grade tumors and radiation necrosis; (2) By what other investigators have reported in gliomas using paradigms for assaying molecular expression other than gene profiling; and (3) Real-time RT-PCR. The results yield a genetic analysis of gliomas and identify classes of genetic expression that link novel genes to the biology of gliomas.

Brain Neoplasms↗