MétaCan
Menu
Back to cohort

Abstract 3450: Impact of BRCA1 on glucocorticoid signaling in fallopian tube epithelial cells

2019· article· en· W2954681316 on OpenAlexaff
Kasra Khalaj, Alexandra Kollara, Julia Hollingsworth, Vladimir Djedovic, Theodore Brown

Bibliographic record

VenueMolecular and Cellular Biology / Genetics · 2019
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsFallopian tubeCancer researchCell biologyGlucocorticoidBiologyMedicineEndocrinologyAnatomy

Abstract

fetched live from OpenAlex

Background: High-grade serous ovarian cancer (HGSC), the most predominant ovarian cancer histotype, originates in the fallopian tube epithelium (FTE). Women with germline BRCA1 mutations are at high risk for this cancer subtype. Our previous work indicates that FTE cells from BRCA1 mutation carriers (mtBRCA1) have increased EGFR and NFκB signaling compared to FTE from control patients, and that glucocorticoid receptor (GR) signaling may be impaired in BRCA1-deficient cells. Glucocorticoids are potent anti-inflammatory steroids that inhibit NFκB signaling. Studies using breast cancer cells report that BRCA1 increases microRNA miR-146 expression, which targets transcripts for EGFR and activators of NFκB. In this study, we examined the impact of BRCA1 deficiency on GR expression and signaling, and on miR-146 expression.Methods: Primary FTE cells were derived from mtBRCA1 carriers or control patients. Immortalized human FTE OE6/7 cells were engineered to overexpress BRCA1. UWB1.289 and UWB1.289+BRCA1 HGSC cells were obtained from ATCC. Levels of GRα, GRβ (splice variant isoform that acts as a dominant-negative of GRα), inflammatory cytokines, and GR-regulated genes were quantified using qPCR and western blotting. miR146 was quantified using miR PCR assays.Results: FTE and HGSC cells express both GR isoforms. GR mRNA levels in primary cultured FTE cells from mtBRCA1 carriers were similar to FTE cells from mtBRCA2 and control patients, although mtBRCA1 FTE cells had increased GRα:GRβ transcript ratios. In contrast, BRCA1 overexpression in OE6/7 cells and UWB1.1 289 cells increased the GRα:GRβ transcript ratio. Total GR protein levels were similar in UWB1.289 and UWB1.289+BRCA1 cells; however, BRCA1 expression associated with increased dexamethasone (DEX)-induced GR transactivation. GR target genes SGK1 and GILZ were upregulated by DEX similarly regardless of BRCA1 expression. TNFα was decreased in OE6/7 and UWB1.1 289 cells expressing higher levels of BRCA1 and was further decreased by DEX. miR-146 levels were elevated, rather than suppressed, in BRCA1-deficient cells, and correlated with decreased expression of targeted NFκB activators.Conclusions: These data indicate GR signaling is affected by BRCA1 and that both GRα and GRβ are expressed in FTE cells. BRCA1 expression alters relative isoform expression ratios raising the possibility of altered response to glucocorticoids that could impact NFκB signaling. Furthermore, these studies indicate that mechanisms other than decreased miRNA-146 underlie increased NFκB and EGFR signaling in mtBRCA1 FTE cells.Citation Format: Kasra Khalaj, Alexandra Kollara, Julia Hollingsworth, Vladimir Djedovic, Theodore J. Brown. Impact of BRCA1 on glucocorticoid signaling in fallopian tube epithelial cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3450.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.259
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMolecular and Cellular Biology / GeneticsSame topicOvarian cancer diagnosis and treatmentFrench-language works237,207