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Record W1967264420 · doi:10.1158/1078-0432.ovca13-a17

Abstract A17: FBxW7 duality in ovarian cancer: Novel insight into ovarian cancer pathogenesis

2013· article· en· W1967264420 on OpenAlexaff
Elizabeth L. Dickson, Lihua Li, Samuel Leung, Christine Chow, Rachel I. Vogel, David G. Huntsman, C. Blake Gilks, Subbaya Subramanian

Bibliographic record

VenueClinical Cancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOvarian cancerBiologyCancer researchTissue microarrayCell growthCell cultureCancermicroRNAMicroarray analysis techniquesTransfectionMolecular biologyImmunohistochemistryImmunologyGene expressionGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Rationale: FBxW7 is a tumor suppressor gene that has been shown to be linked to ubiquitin-dependent proteolysis and regulation of the G1-S cell cycle checkpoint. FBxW7 mutations have been implicated in the impaired degradation of NOTCH, JUN, and cMYC, all of which have been demonstrated as key players in the ovarian cancer pathobiology. In this study we characterized the functional and prognostic significance of FBxW7 in ovarian cancer. Methods: Platinum-sensitive (A2780) and resistant (C200 and SKOV3) ovarian cancer cell lines were utilized, as well as cell lines derived from normal ovarian epithelium (IOSE). Ovarian cancer cell lines were transfected with FBxW7 constructs using Lipofectamine 2000tm. qPCR was performed to determine levels of gene and microRNA expression. Western blot analysis was performed to assess protein levels. Cell proliferation assays and FACS were performed determine cell proliferation and viability. A tissue microarray was used for immunohistochemical staining using FBxW7 antibody. Tissue stains were scored manually. Staining intensities were correlated with patient outcomes to calculate the overall survival and progression-free survival using Kaplan Meier methods and log-rank tests. Results: Upregulation of FBxW7 in platinum-sensitive cell lines decreases the substrates of FBxW7 ubiquitination, such as cMYC, NOTCH, and JUN. However, similar levels of FBxW7 expression did not decrease these substrate levels in platinum-resistant cell lines. microRNAs associated with stemness and chemoresistance also had differential expression profiles with FBxW7 transient transfection. Cell proliferation assays also highlighted differences between these sensitive and resistant cell lines. For tissue array analysis, 516 samples were used for FBxW7 IHC staining where 206 (40.2%) of samples were with high-grade serous histology. The majority of samples had FBxW7 staining of high intensity (273; 52.9%). There was no relationship between overall survival or progression-free survival and FBxW7 tissue staining in the total group. However, when analyzing only the high-grade serous histology, there was a trend of increased expression of FBxW7 being associated with better progression-free survival (p=0.051). Conclusions: Our studies suggest that FBxW7 have a dual role in ovarian cancer, having less effect on those cell lines associated with chemoresistance and stemness. In ovarian tumor tissues, there was a trend for elevated levels of FBxW7 expression and better progression free survival. Further studies on FBxW7 and its role in ovarian cancer pathogenesis are warranted. Citation Format: Elizabeth Louise Dickson, Lihua Li, Samuel Leung, Christine Chow, Rachel Isaksson Vogel, David Huntsman, C. Blake Gilks, Subbaya Subramanian. FBxW7 duality in ovarian cancer: Novel insight into ovarian cancer pathogenesis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: From Concept to Clinic; Sep 18-21, 2013; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2013;19(19 Suppl):Abstract nr A17.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.168
GPT teacher head0.464
Teacher spread0.296 · 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 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
Published2013
Admission routes1
Has abstractyes

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