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Inhibition of Pannexin 1 Channels Reduces Tumorigenic Properties of Melanoma

2019· article· en· W3177244006 on OpenAlexafffundabout
Silvia Peñuela, Taylor J. Freeman, Samar Sayedyahossein, Danielle Johnston, Rafael E. Sanchez‐Pupo, Brooke L. O’Donnell, Kenneth Huang, Zameena Lakhani, Daniel Nouri‐Nejad, Kevin Barr, Luke Harland, Steven Latosinsky, Aaron Grant

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsMelanomaPannexinMicrophthalmia-associated transcription factorCancer researchWestern blotCarbenoxoloneCell cultureMatrigelGene knockdownBiologyMelaninCell biologyGap junctionAngiogenesisIntracellularTranscription factor

Abstract

fetched live from OpenAlex

Melanoma is the deadliest skin cancer and its incidence is still on the rise. Despite new advances with immunotherapy drugs, nearly 70% of patients still do not respond to treatments, underscoring the importance of finding new treatment targets and combination therapies. Pannexin 1 (PANX1 human; Panx1 mouse) is a channel‐forming glycoprotein expressed in many mammalian organs and tissues including the skin at early stages of development. Pannexin 1 channels allow the passage of ions and important signaling molecules up to 1 kDa, including ATP and other metabolites. We previously found that a knockdown of Panx1 resulted in reduced tumorigenic properties of mouse melanoma cell lines in vitro . In this study, we found that PANX1 is highly expressed in human melanoma tumors compared to normal skin. Using Western blot and immunohistochemistry, we showed that high PANX1 levels are present in melanoma tumors at all disease stages, as well as in patient‐derived cells and established melanoma cell lines. We demonstrated that inhibiting PANX1 function using shRNA or channel blockers, such as Carbenoxolone (CBX) and Probenecid (PBN), significantly reduced cell growth and cell migration, and substantially increased the production of melanin (used as a differentiation marker) in A375‐P and A375‐MA2 human melanoma cells. In addition, treatment with CBX or PBN in A375‐MA2 cells xenografted onto the chorioallantoic membrane of a chicken embryo model, significantly reduced primary melanoma tumor weight as well as tumor invasion. Blocking PANX1 channels using PBN reduced ATP release in A375‐P melanoma cells, suggesting a role for PANX1 in regulating the tumor microenvironment through purinergic signaling at the cell surface. In addition, our findings from cell‐surface biotinylation assays indicate that there is also a significant intracellular pool of PANX1 in melanoma cells that likely modulates signaling pathways such as Wnt/β‐catenin, since β‐catenin levels are significantly decreased upon shRNA knockdown of PANX1 in melanoma cells. Collectively, our findings suggest that PANX1 is a novel modulator of tumorigenic properties in human melanoma cells, contributing to signaling pathways that regulate melanoma progression and highlights PANX1 as a potential target for therapeutic intervention. Support or Funding Information Funded by a Canadian Institutes of Health Research (CIHR) Project Grant to Silvia Penuela This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
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 head0.015
GPT teacher head0.220
Teacher spread0.204 · 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
Published2019
Admission routes3
Has abstractyes

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