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Abstract A20: ARHGEF2 inhibition impairs cell growth and viability in KRAS-dependent cancer cells

2014· article· en· W2465166255 on OpenAlexaff
Maria Jose Sandi Vargas, Oliver A. Kent, Josée Normand, Robert Rottapel

Bibliographic record

VenueMolecular Cancer Research · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsKRASGuanine nucleotide exchange factorCancer researchBiologyCarcinogenesisCell growthViability assayCancerGTPaseCell cultureOncogeneMolecular biologyCell cycleColorectal cancerCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Sporadic tumours carrying activating mutations of the RAS family of GTPases are characterized by a progressive and multiple step tumorigenesis. Among the three isoforms, K-RAS is the most commonly mutated (Prior et al., 2012). ARHGEF2 is a microtubule-associated guanine nucleotide exchange factor (GEF) for the Rho family of small GTPases whose expression is up-regulated (more than 30 times) upon Ras neoplastic transformation in Rat fibroblasts (Zuber et al., 2000). A truncated version of the protein can transform NIH 3T3 cells (Whitehead et al., 1995) and induce tumour formation in nude mice (Brecht et al., 2005). We recently identified ARHGEF2 as a transcriptional target of the RAS/MAPK pathway and its expression contributes to cell survival and growth in RAS-transformed cells (Cullis et al., in revision). We aimed to determine if ARHGEF2 is required for tumour cell viability in different KRAS mutant cancer cell lines. We used an RNAi approach using two different ARHGEF2 and KRAS shRNAs to monitor cell growth and viability in six different cancer cell lines harbouring a KRAS mutation: four pancreatic adenocarcinomas (PL45, Panc 02.03, Panc 04.03 and KP4), one endometrial adenocarcinoma (HEC-1-A) and one colorectal adenocarcinoma (LS 174T). We found that ARHGEF2 is required for cell growth and survival in half of the cell lines analyzed. We established an ARHGEF2 and KRAS dependency index for those cell lines and further analysis allowed us to determine a positive correlation (correlation coefficient of 0.64, p value <0.03) between ARHGEF2 and KRAS dependency. In conclusion, our findings suggest that: i/ ARHGEF2 plays a role in the tumorigenesis and survival of KRAS dependent cell lines, but further in vitro and in vivo studies are required; ii/ ARHGEF2 inhibition could be a potential therapeutic target in tumours harbouring KRAS mutations. References: Prior, IA et al. A comprehensive survey of Ras mutations in cancer. Cancer Res. 2012. Zuber, J. et al. A genome-wide survey of RAS transformation targets. Nat Gen. 2000. Whitehead, I et al. Expression cloning of lfc, a novel oncogene with structural similarities to guanine nucleotide exchange factors and to the regulatory region of protein kinase C. J Biol Chem. 1995. Brecht, M. et al. Activation of gef-h1, a guanine nucleotide exchange factor for RhoA, by DNA transfection. Int J Cancer. 2005. Cullis, J. et al. The Rho GEF-H1 is required for RAS oncogene-diven pancreatic cancer. In revision. Citation Format: Maria Jose Sandi Vargas, Oliver A. Kent, Josee Normand, Robert Rottapel. ARHGEF2 inhibition impairs cell growth and viability in KRAS-dependent cancer cells. [abstract]. In: Proceedings of the AACR Special Conference on RAS Oncogenes: From Biology to Therapy; Feb 24-27, 2014; Lake Buena Vista, FL. Philadelphia (PA): AACR; Mol Cancer Res 2014;12(12 Suppl):Abstract nr A20. doi: 10.1158/1557-3125.RASONC14-A20

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.334
Teacher spread0.310 · 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.

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
Published2014
Admission routes1
Has abstractyes

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