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Record W4394855207 · doi:10.1101/2024.04.08.588550

Pannexin 1 and Pannexin 3 differentially regulate the tumorigenic properties of cutaneous squamous cell carcinoma

2024· preprint· en· W4394855207 on OpenAlexafffund
Brooke L. O’Donnell, Danielle Johnston, Ayushi Bhatt, Zahra Kardan, Dan Stefan, Andrew Bysice, Samar Sayedyahossein, Lina Dagnino, Matthew J. Cecchini, Sampath K. Loganathan, Kathryn Roth, Silvia Peñuela

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsLondon Health Sciences CentreMcGill UniversityMcGill University Health CentreWestern University
FundersCanadian Institutes of Health ResearchLondon Health Sciences Centre
KeywordsPannexinBasal cellBiologyCancer researchMedicineCell biologyInternal medicineGap junction

Abstract

fetched live from OpenAlex

Abstract Pannexin (PANX) channels are present in skin and facilitate the movement of signalling molecules during cellular communication. PANX1 and PANX3 function in skin homeostasis and keratinocyte differentiation but were previously reduced in a small cohort of human cutaneous squamous cell carcinoma (cSCC) tumours compared to normal epidermis. In our study, we used SCC-13 cells, limited publicly available RNA-seq data and a larger cohort of cSCC patient-matched samples to analyze PANX1 and PANX3 expression and determine the association between their dysregulation and the malignant properties of cSCC. In a bioinformatics analysis, PANX1 transcripts were increased in cSCC and head and neck SCC tumours compared to normal tissues, but PANX3 mRNA showed no differences. However, in our own cohort, PANX3 transcripts were decreased in cSCC compared to patient-matched aged skin, whereas PANX1 was upregulated in cSCC. PANX1 localized to all regions within the cSCC tumour microenvironment and increased levels were associated with larger tumour dimensions. To investigate PANX1 function in SCC-13 cells, we deleted PANX1 via CRISPR/Cas9 and treated with PANX1 inhibitors which markedly reduced cell growth and migration. To assess PANX3 function in cutaneous carcinogenesis, we employed the DMBA/TPA model using our global Panx3 knockout (KO) mice, where 60% of wildtype and 100% of KO mice formed pre-cancerous papillomas. Average papilloma volumes at endpoint were significantly increased in KO mice and showed moderate evidence of increases in KO mice over time. Collectively, these findings suggest PANX1 and PANX3 dysregulation may have potential tumour promoting and suppressive effects for keratinocyte transformation, respectively. Key points summary Pannexin 1 and pannexin 3 are channel-forming proteins which are critical in the normal maintenance and function of keratinocytes in the skin but may become altered in cutaneous squamous cell carcinoma (cSCC) tumours. In this study, we used a combination of culture models, mouse models and patient-derived tissues. We found pannexin 1 levels are increased in cSCC tumours and present in all tumour regions, functioning to promote cSCC cell growth and migration. Conversely, pannexin 3 levels are decreased in cSCC tumours and this protein reduces the incidence and growth of pre-cancerous lesions. Taken together, our data indicates that in cSCC these pannexin family members seem to have opposite effects, where pannexin 1 is pro-tumorigenic and pannexin 3 is anti-tumorigenic. These results help us to better understand the mechanisms of malignant transformation of keratinocytes and offer a new potential therapeutic target for the treatment of advanced cSCC.

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 score0.008

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.188
Teacher spread0.179 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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