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Record W4386537623 · doi:10.1093/neuonc/noad137.220

P10.22.B COMBINATION OF ARTS MIMETICS WITH AUTOPHAGY INHIBITORS AS A NOVEL THERAPEUTIC STRATEGY TO OVERCOME APOPTOSIS RESISTANCE IN GLIOBLASTOMA

2023· article· en· W4386537623 on OpenAlexaff
Helgi Kuzmychova, Emma Martell, Vinith Yathindranath, Harshal Senthil, Esha Kaul, Donald W. Miller, Sheila K. Singh, Tanveer Sharif

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsMcMaster UniversityUniversity of Manitoba
FundersInstitut National Du CancerEuropean Commission
KeywordsApoptosisAutophagyProgrammed cell deathIn vivoCancer researchMedicineDownregulation and upregulationRadiation therapyChemistryBiologyInternal medicineBiochemistryBiotechnology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Glioblastoma (GBM) is the most common malignant brain tumour in adults. The current standard of care for GBM patients consists of maximal surgical resection followed by chemotherapy and radiation. Despite such an aggressive treatment approach, the average 5-year survival rate for GBM patients is approximately 5%. One of the main reasons for poor therapy response in the GBM is resistance to programmed cell death, otherwise known as apoptosis. One of the mechanisms behind apoptosis resistance relies on the upregulation of inhibitor of apoptosis proteins (IAPs) which are known to hinder pro-apoptotic proteins and allow cell survival under abnormal conditions such as severe DNA damage. However, there are natural IAP antagonists such as ARTS which are capable of stimulating cell death by promoting the degradation of IAPs. To harness the pro-apoptotic function of IAP antagonists, small peptide mimetics of ARTS have been developed. This project investigates the efficacy of utilizing ARTS mimetics as a novel strategy to overcome apoptosis resistance in the GBM treatment. MATERIAL AND METHODS This study utilizes patient-derived cells with exogenous gain-of-function (GOF) overexpression to introduce full-length ARTS protein as well as pharmacological small peptide mimetics of ARTS to evaluate the response of GBM cells following the promotion of ARTS activity. We also employ a patient-derived orthotopic xenograft mouse model to test novel combinatorial strategies in vivo, where we used a nanoparticle drug delivery system to ensure treatment delivery across the blood-brain barrier (BBB). RESULTS We found that patient-derived GBM cells were highly resistant to ARTS-induced apoptosis. Further molecular investigation unveiled a novel role of ARTS in the upregulation of autophagy as a resistance mechanism. A combination of ARTS GOF or mimetic peptides with autophagy inhibitors mitigated resistance to ARTS-mediated apoptosis and drastically decreased GBM cell proliferation. This combination was further tested in the patient-derived xenograft mouse model, which demonstrated the successful delivery of ARTS mimetic peptides and autophagy inhibitors through the BBB via nanoparticle lipid carriers. Animals treated with a combination of the autophagy inhibitor Spautin-1 and ARTS mimetic peptides demonstrated significantly prolonged survival, confirming the therapeutic potential of such combinatorial approach for GBM treatment. CONCLUSION Altogether, these findings uncover a previously unknown role of ARTS in autophagy regulation and provide evidence that the combination of IAP-antagonist mimetics with autophagy inhibitors can be an effective strategy against highly aggressive GBM brain tumours. This work was supported by the Health Sciences Centre Foundation (HSCF).

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 score0.006

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)0.0020.001

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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