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Record W6980550850

Characterization of hERG1 channel role in the regulation of the process of neo-angiogenesis: in vitro and in vivo studies.

2013· dissertation· en· W6980550850 on OpenAlexfundno aff

Bibliographic record

VenueFlorence Research (University of Florence) · 2013
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlanarian Biology and Electrostimulation
Canadian institutionsnot available
FundersBC Cancer AgencyIstituto Toscano TumoriAssociazione Italiana per la Ricerca sul CancroEnte Cassa di Risparmio di Firenze
KeywordsAngiogenesisIntegrinRegulatorExtracellular matrixCarcinogenesisIn vivoCell adhesion moleculeSecretionColorectal cancerIn vitroIntracellular
DOInot available

Abstract

fetched live from OpenAlex

Sustained angiogenesis is a critical step in tumour progression; indeed the clinical success of angiogenesis inhibitors has confirmed this paradigm. However, the efficacy of anti-angiogenic therapy has been more challenging than expected, mainly due to intrinsic resistance to anti-angiogenic drugs. Hence the identification of novel mechanisms sustaining tumour angiogenesis, and the development of appropriate pharmacologic targeting of new angiogenesis-related molecules is a major challenge in cancer therapy.\nIn this thesis, we report a new mechanism that regulates angiogenesis in colorectal cancers (CRC). \nThe human ether-à-go-go related gene (hERG)1 K+ channel is up-regulated in human colorectal cancer cells and primary samples.\nBeyond its canonical role in excitability, hERG1 channel is emerging as a major regulator of intracellular signalling, in tumour cells. This role relies on its ability to assemble with partner proteins, and particularly adhesion receptors of the integrin family. In this thesis, we found that β1 integrin-mediated adhesion to the extracellular matrix (ECM) modulates secretion of vascular endothelial growth factor (VEGF)-A. This effect relies on an intermolecular cooperation between the β1 integrin, hERG1 channels and the p85 subunit of the phosphatidyl inositol-3-kinase (PI3K). Such cooperation is triggered by the ECM and leads to activation of Akt, which in turn increases the HIF-dependent VEGF-A transcription. The latter occurs through a mTOR- and FOXO- independent, NF-kB-activated regulation of HIF-1α and HIF-2α. \nMoreover, we examined the role of hERG1 in colorectal carcinogenesis in vivo, using two mouse models: Apcmin/+ and Azoxymethane-treated mice. \nColonic polyps of Apcmin/+ mice over-expressed m-ERG1 and their formation was reverted by the hERG1 blocker E4031. \nAzoxymethane was applied to either hERG1-transgenic mice, which over-express hERG1 in the mucosa of the large intestine, or wild type mice. A significant increase of both mucin-depleted foci and polyps in the colon of hERG1-transgenic mice was detected. \nBoth the intestine of transgenic mice and colonic polyps of Apcmin/+ showed an up-regulation of pAkt/VEGF-A and an increased angiogenesis, which were reverted by treatment with E4031, providing evidence that, also in vivo, the role of hERG1 in CRC carcinogenesis can be traced back to its role in the signalling pathways which regulate VEGF-A secretion and neo-angiogenesis.\nOn the whole, this study assigns a relevant role to hERG1 in the process of in vitro and in vivo colorectal carcinogenesis. hERG1 can be considered a “tumour progression” gene in vitro, since a complex comprising integrins and hERG1 channels strongly regulate angiogenesis and tumour progression in CRC cells model, as well as in vivo, since the channel strongly cooperates with genetic (loss of the tumour suppressor gene Apc) or environmental (chemical carcinogen) factors in triggering CRC progression in mouse CRC models.\nOur results indicate the use of hERG1 blocking drugs devoid of cardiac side effects as a novel anti-angiogenesis treatment of CRC, especially in those cases resistant to anti-VEGF-A drugs.

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 score0.477
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.280
Teacher spread0.259 · 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
Published2013
Admission routes1
Has abstractyes

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