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Record W1734173180 · doi:10.1158/1538-7445.am2014-1553

Abstract 1553: Rho guanine nucleotide exchange factor (ARHGEF) 10 is a putative tumor suppressor in pancreatic ductal adenocarcinoma

2014· article· en· W1734173180 on OpenAlexaff
Joella Joseph, Nikolina Radulovich, Ming‐Sound Tsao

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsCancer researchBiologyCancerCell cultureTumor suppressor genePancreatic cancerGuanine nucleotide exchange factorCell growthTumor progressionAdenocarcinomaSignal transductionCarcinogenesisGenetics

Abstract

fetched live from OpenAlex

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) accounts for over 90% of pancreatic malignancies, and is the fourth leading cause of cancer related deaths. Disease prognosis is quite poor, with less than 20% of patients eligible for curative surgical resection at time of diagnosis and overall survival rates of 2%. PDAC arises from the malignant transformation of ductal epithelial cells through progressive accumulation of loss of function mutations and deletions of tumor suppressor genes. Chromosome 8p has been shown to be a recurrent site of deletions in PDAC. Among the deleted genes is the Rho guanine nucleotide exchange factor 10 (ARHGEF10), a regulator of Rho signaling that is involved in mitotic spindle formation. Here, we evaluate ARHGEF10 for its potential role as a tumor suppressor in PDAC. Methods: ARHGEF10 expression was assessed in 19 PDAC cell lines and in 53 patient tumor xenograft samples at both mRNA and protein levels. Publically available datasets were also used to determine correlation between ARHGEF10 mRNA expression and DNA copy number. After identifying PDAC cell lines with low ARHGEF10 expression, ARGHEF10 was stably overexpressed in these cell lines by lentiviral transduction. The effects of ARHGEF10 expression were then evaluated by in vivo tumorigenicity in immunodeficient mice, and by in vitro cell proliferation and cell motility wound healing assays. Results: ARHGEF10 showed reduced expression in up to 70% of cell lines and patient tumor xenografts. Reduced ARHGEF10 expression correlated significantly with loss of copy number in PDAC cell lines. Stable overexpression of ARHGEF10 in PDAC cell lines significantly reduced tumor growth in immunodeficient mice. In addition, ARHGEF10 expression resulted in decreased cell motility in wound healing assays, but had minimal effect on cell proliferation. Experiments for in vitro assessment of invasion and changes in Rho activity are ongoing, and will be presented Conclusions: This study suggests that ARHGEF10 may function as a tumor suppressor gene in PDAC. Citation Format: Joella Joseph, Nikolina Radulovich, Ming-Sound Tsao. Rho guanine nucleotide exchange factor (ARHGEF) 10 is a putative tumor suppressor in pancreatic ductal adenocarcinoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1553. doi:10.1158/1538-7445.AM2014-1553

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.102
GPT teacher head0.423
Teacher spread0.321 · 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
Published2014
Admission routes1
Has abstractyes

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