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Record W3083440507 · doi:10.1158/1538-7445.am2020-1887

Abstract 1887: Tumor-stroma interactions mediated by Semaphorin 6A as a determinant of drug resistance in BRAF-mut melanoma

2020· article· en· W3083440507 on OpenAlexaff
Rossella Loria, Italia Falcone, Marta Di Martile, Valentina Caprara, Rocco Fraioli, Valentina Laquintana, Giulia Bon, Laura Rosanò, Donatella Del Bufalo, Ludovica Ciuffreda, Virginia Ferraresi, Michèle Milella, Rita Falcioni

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsSemaphorinMelanomaCancer researchStromaRHOACell cultureActin cytoskeletonBiologyCellCell biologyCytoskeletonSignal transductionImmunologyReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract In BRAF-mutant (BRAF-mut) melanoma combined BRAF/MEK inhibition increases survival. However, pharmacological effects on the genetically “normal” tumor microenvironment (i.e. paradox MAPK activation) may set the stage for the development of drug resistance. In melanoma specimens, we observed a significant correlation between BRAF-mut and the expression of Semaphorin 6A (Sema6A), a member of the semaphorin family that regulates actin cytoskeleton remodeling, motility and cell proliferation. In BRAF-mut melanoma cell lines, Sema6A is involved in cytoskeleton remodeling by regulation of YAP activity. Sema6A depletion induced a decrease in RhoA activation and, consequently, an increase in phospho-YAP and a reduction in cell proliferation rate. We thus hypothesized that actin cytoskeleton remodeling and dynamic evolutions may play a role in both cell autonomous and stroma-mediated mechanisms of drug-resistance in this context. To assess the functional relevance of Sema6A expression in the regulation of melanoma/stroma interactions and sensitivity/resistance to pathway inhibitors, we performed an inducible Sema6A knock down in BRAF-mut melanoma cell lines and evaluated the response to BRAF/MEK inhibitors in monolayer and 2D co-culture systems. In contexts of partial response or resistance in vitro, BRAF inhibitors, alone or combined with MEK inhibitors, were increased Sema6A expression at the mRNA and protein levels in both monolayer and 2D co-culture systems. Furthermore, Sema6A silencing performed in 2D co-culture system abrogated the protective effect of melanoma/stroma interactions, resulting in a synergistic effect with BRAF/MEK inhibitors. Overall, our results suggest that Sema6A could be a crucial mediator of protective tumor/stroma interactions, involved in resistance to MAPK inhibition in melanoma. Citation Format: Rossella Loria, Italia Falcone, Marta Di Martile, Valentina Caprara, Rocco Fraioli, Valentina Laquintana, Giulia Bon, Laura Rosanò, Donatella Del Bufalo, Ludovica Ciuffreda, Virginia Ferraresi, Michele Milella, Rita Falcioni. Tumor-stroma interactions mediated by Semaphorin 6A as a determinant of drug resistance in BRAF-mut melanoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1887.

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 score0.004

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)0.0010.000

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 head0.093
GPT teacher head0.389
Teacher spread0.296 · 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
Published2020
Admission routes1
Has abstractyes

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