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Record W2885068254 · doi:10.1158/1538-7445.am2018-1936

Abstract 1936: The central role of NFAT signalling in the mechanism of action of the TRPV6 oncochannel inhibitor and clinical candidate SOR-C13

2018· article· en· W2885068254 on OpenAlexaff
Christopher Rice, Tyler Lutes, Michelle Davey, Vett K. Lloyd, Tyson J. MacCormack, Dominique Dugourd

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsMount Allison University
Fundersnot available
KeywordsNFATProstate cancerCancer researchReporter geneTransfectionMedicineBiologyChemistryInternal medicineCalcineurinCell cultureGene expressionCancerGeneBiochemistry

Abstract

fetched live from OpenAlex

Abstract SOR-C13, a 13-mer peptide derived from soricidin, the paralytic peptide in saliva of the Northern Short-tailed shrew, has completed an open-label, all comers Phase I Clinical Trial for the treatment of epithelially-derived cancers. SOR-C13 is a first-in-class drug candidate for the treatment of solid tumors. SOR-C13 specifically targets and inhibits the TRPV6 calcium channel - a recognized oncochannel whose over-expression in a number of epithelial cancers (e.g. breast, ovarian, prostate) is associated with poor prognosis. An increase in TRPV6 facilitates calcium influx into the cell, which activates the calcium binding protein calmodulin. This complex in turn activates calcineurin that de-phosphorylates and activates Nuclear Factor of Activated T-cells (NFAT), a gene transcription factor involved in multiple oncogenic processes. To demonstrate the role of NFAT activation in the mechanism of action (MOA) of SOR-C13, breast cancer cells (T-47D) were transfected with a NFAT dual reporter plasmid, treated with the peptide, and NFAT activation monitored. Additionally, RT-qPCR TaqMan array profiling was performed on prostate (PC-3), breast (T-47D), ovarian (OVCAR-3 and SK-OV-3), and pancreatic (BxPC-3 and SU.86.86) cancer cell lines treated with SOR-C13 compared with untreated cells. The TaqMan array panel consisted of 187 genes involved in cancer calcium signalling associated with the MOA of TRPV6 and directly, or indirectly, involved in NFAT signalling. SOR-C13 treatment significantly inhibited NFAT activation (p < 0.05) in T-47D cells transfected with a NFAT reporter plasmid. Molecular profiling of the 6 cancer cell lines showed that many genes involved in NFAT signalling were modulated by SOR-C13 treatment. Affected genes included genes involved in cell proliferation (e.g. TGF-beta, TLR9), metastasis (e.g. ADAM12, CEACAM6), resistance to apoptosis (e.g. WISP1) and angiogenesis (e.g. FLT4). Cytokines (e.g. IL-6) and chemokines (e.g. CXCL12), involved in cancer progression and associated with NFAT signalling, as well as transcription factors (e.g. GATA4, NF-kB) were down regulated upon SOR-C13 treatment. These results highlight NFAT signalling in the mechanism of action of SOR-C13. The impact of SOR-C13 on the expression of genes involved in resistance to apoptosis, proliferation, metastasis and angiogenesis as well as on the expression of immune cytokines and transcription factors in multiple cancer cells, makes SOR-C13 an attractive, novel anti-cancer drug. Citation Format: Christopher Rice, Tyler Lutes, Michelle Davey, Vett Lloyd, Tyson J. MacCormack, John M. Stewart, Dominique Dugourd. The central role of NFAT signalling in the mechanism of action of the TRPV6 oncochannel inhibitor and clinical candidate SOR-C13 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1936.

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 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 score0.006
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.077
GPT teacher head0.415
Teacher spread0.338 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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