MétaCan
Menu
Back to cohort
Record W2596087002 · doi:10.1093/biolreprod/87.s1.548

Mechanisms by Which Estrogen Accelerates Ovarian Tumor Initiation.

2012· article· en· W2596087002 on OpenAlexaff
Nhung Vuong, Elizabeth A. Macdonald, Kendra Hodgkinson, Laura A. Laviolette, Barbara C. Vanderhyden

Bibliographic record

VenueBiology of Reproduction · 2012
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiologyEstrogenOvaryCancer researchStromal cellCancerOvarian cancerEpitheliumEndocrinologyInternal medicineMedicineGenetics

Abstract

fetched live from OpenAlex

Ovarian cancers present as three different types, epithelial, germ cell, and stromal, with epithelial cancers consisting ~90% of cases. As a result, it is believed that the majority of cancers that develop in the ovary arise from the ovarian surface epithelium. Previous studies have shown that exposure of mice to exogenous estradiol (E2) causes preneoplastic changes in ovarian surface epithelial (OSE) cell morphology and accelerates ovarian tumor onset. Clinically, estrogenic compounds are used for treatments such as hormone replacement therapy for relief of menopausal symptoms or as a form of contraceptive such as birth control pills. However, women using estrogen-only hormone replacement are at higher risk of ovarian cancer. Thus, the aim of this project is to determine the mechanisms by which estrogen has detrimental effects that promote an increased risk of ovarian cancer, specifically by elucidating the actions of E2 on the OSE. The pathways controlling the premalignant transformation are unknown, but exogenous E2 promote stratification and apparent loss of cellular polarity in the OSE layer. We hypothesized that this change in phenotype may be due to decreases in disabled-2 (Dab2), as Dab2 is required for epithelial cells to maintain polarity and a genome-wide screen has identified estrogen response elements in regions proximal to the transcriptional start site of Dab2 in mice and humans. Dab2 is an adaptor protein that is found in a variety of tissues and is highly expressed in breast and ovarian tissue but its expression is lost in the majority of ovarian carcinomas. To determine if Dab2 mediates the actions of E2, we examined the effects of E2 exposure on Dab2 expression (by qPCR) in cultures of normal mouse OSE (mOSE), SV40 T antigen-immortalized mOSE, and in a mouse ovarian cancer cell line (MASE). None of the cell lines showed a change in Dab2 expression in response to E2 over a range of doses (0-1000 nM) and treatment periods (0-72 hours). To determine the effects of E2 exposure on Dab2 expression in vivo, SCID mice were intraperitoneally injected with MASE cells and inserted subcutaneously with a 6o-day timed release 0.25 mg E2 pellet. Tumors showed a significant 8-fold decrease in Dab2 mRNA expression in response to E2 treatment. Tumors from the tgCAG-LS-TAg transgenic model of ovarian cancer also showed a trend for E2 suppression of Dab2 expression. Immunohistochemical detection of Dab2 shows that it is present in normal human and mouse OSE, but is lost in areas of stratified mOSE that occur at higher incidence after 60 days of exogenous E2 treatment. These results demonstrate that E2 exposure decreases Dab2 expression in both OSE and ovarian cancers in vivo, but not in vitro. The lack of response in vitro suggests that growing OSE cells on plastic is not a good model to study changes in mOSE polarity, a result that is consistent with previous studies using mammary epithelial cells. Current experiments are investigating alternative culture systems to develop a better model for the study of OSE cell polarity and epithelial cell architecture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.291
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBiology of ReproductionSame topicOvarian cancer diagnosis and treatmentFrench-language works237,207