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Record W2502314982 · doi:10.1158/1538-7445.am2016-5055

Abstract 5055: SPEN stimulates primary cilia formation, cell migration and is associated with metastasis in breast cancer

2016· article· en· W2502314982 on OpenAlexaff
Stéphanie Légaré, Catherine Chabot, Mark Basik

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsCancer researchGene silencingBiologyTranscription factorCell biologyWnt signaling pathwayCiliumHedgehog signaling pathwayHedgehogPI3K/AKT/mTOR pathwaySignal transductionGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The primary cilium (PC) is a microtubule-based and non-motile organelle that functions as animal cells’ antennae, regulating a number of signalling pathways, including the mTOR, PDGFR and Wnt pathways, in addition to being essential for activation of the canonical Hedgehog (Hh) pathway. In breast cancer, the PC is a structure that is frequently lost due to transcription- and mutation-driven alterations in cilium-related genes. In a study aiming to delineate the hormone-independent transcriptional program regulated by SPEN, a gene that we have identified as a tumour suppressor gene in estrogen receptor (ER)-positive breast cancers, we found that SPEN was co-expressed (R>0.95) with a number of genes involved in ciliary biology (P = 1.64E-19), including the ciliogenic transcription factors RFX2, RFX3 and FOXJ1. Interestingly, the overexpression of SPEN resulted in the restoration of the PC in T47D cells, which have previously been shown to lack this structure. Consistent with the re-establishment of a PC in T47D cells, SPEN-overexpressing T47D cells had decreased mTOR signalling, hyperactivation of PC-dependent pathways, including the Hh and PDGFR pathways, and increased migration. Silencing SPEN expression in the non-tumorigenic MCF10A cells, which express high endogenous levels of SPEN and show a high prevalence of PC (36%), considerably decreased PC levels in MCF10A cells and was accompanied with increased mTORC1 activity as well as attenuated cell migration. We also found that SPEN silencing in MCF10A cells decreased the expression of the ciliogenic transcription factor RFX3 and that SPEN interacts with DNA upstream of RFX3 gene transcription start site in chromatin immunoprecipitation experiments. Collectively, these observations indicate that SPEN may mediate its effects, at least in part, through the transcriptional regulation of RFX3. Accordingly, RFX3 expression levels were strongly positively correlated (R = 0.55, P<0.0001) with SPEN levels in a cohort of 82 clinical samples from triple negative breast cancer patients. Notably, high SPEN RNA levels were also predictive of early metastasis in two independent cohorts of 77 (HR = 2.25, P = 0.03) and 170 (HR = 2.23, P = 0.004) ER-negative breast cancer patients. Together, our findings highlight a role for SPEN in the regulation of PC formation and support important functions in the inhibition of mTORC1 and activation of Hh and PDGFR pathways as well as cell migration, a process that may contribute to early metastasis in ER-negative breast cancers. Citation Format: Stéphanie Légaré, Catherine Chabot, Mark Basik. SPEN stimulates primary cilia formation, cell migration and is associated with metastasis in breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5055.

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)0.001
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 score0.209
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.046
GPT teacher head0.341
Teacher spread0.295 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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