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Record W2779453443 · doi:10.1016/j.bbrc.2017.12.116

Inhibition of CX3CR1 reduces cell motility and viability in pancreatic adenocarcinoma epithelial cells

2017· article· en· W2779453443 on OpenAlexfundno aff
Matthew C. Stout, Shilpa Narayan, Emily S. Pillet, Joseph M. Salvino, Paul M. Campbell

Bibliographic record

VenueBiochemical and Biophysical Research Communications · 2017
Typearticle
Languageen
FieldMedicine
TopicChemokine receptors and signaling
Canadian institutionsnot available
FundersNational Cancer InstitutePublic Health Agency of CanadaDrexel UniversityPharmaceutical Research and Manufacturers of America FoundationW. W. Smith Charitable TrustAmerican Cancer Society
KeywordsCX3CR1MotilityCX3CL1Chemokine receptorCancer researchPancreatic cancerMetastasisDownregulation and upregulationProtein kinase BBiologyReceptorChemokineInternal medicineCancerMedicineSignal transductionCell biology

Abstract

fetched live from OpenAlex

Increased expression of the chemokine CX3CL1 and its sole receptor, CX3CR1 have been correlated with poor pancreatic cancer patient survival and time to recurrence, as well as with pancreatic perineural invasion. We have previously shown that metastasis of prostate and breast cancer is in part driven by CX3CL1, and have developed small molecule inhibitors against the CX3CR1 receptor that diminish metastatic burden. Here we ask if inhibition of this chemokine receptor affects the phenotype of PDAC tumor cells. Our findings demonstrate that motility, invasion, and contact-independent growth of PDAC cells all increase following CX3CL1 exposure, and that antagonism of CX3CR1 by the inhibitor JMS-17-2 reduces each of these phenotypes and correlates with a downregulation of AKT phosphorylation. These data suggest that PDAC tumor cell migration and growth, elements critical in metastatic progression, may susceptible to pharmacologic intervention.

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 score0.002
Threshold uncertainty score0.005

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)0.0010.000

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 head0.074
GPT teacher head0.367
Teacher spread0.292 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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