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Record W4393076009 · doi:10.1158/1538-7445.am2024-5846

Abstract 5846: Inhibiting elements of the proteasome recovery pathway sensitizes glioblastoma to proteasome inhibitors

2024· article· en· W4393076009 on OpenAlexaff
Alisha Anand, Muhammad Vaseem Shaikh, Chirayu Chokshi, Benjamin Brakel, William Maich, Shan Grewal, Chitra Venugopal, Sheila K. Singh

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsMcMaster University
Fundersnot available
KeywordsProteasomeGlioblastomaCancer researchMedicineBiologyCell biology

Abstract

fetched live from OpenAlex

Abstract Bacground: Glioblastoma (GBM) is the most common primary brain tumor, accounting for 15% of all central nervous system related tumors. Despite the aggressive standard of care treatment including chemotherapy, radiotherapy, and maximally safe surgical resection, patient outcomes are abysmal: with 95% of patients relapsing and a median overall survival of 15 months. Thus, this necessitates the rapid query for personalized therapeutics and agents that can potentiate the clinical effects of currently approved treatments. One such pathway that demonstrates aberrant functioning in cancer and is a targetable mechanism is the ubiquitin-proteosome pathway (UPP). Studies have shown that UPP related proteolysis remains constitutively active in cancer cells leading to the rapid degradation of proteins that regulate tumor suppressor genes and oncogenes. Despite robust preclinical evaluations for the usage of proteosome inhibitors against GBM, most tested proteosome inhibitors failed in phase II and III trials, indicating resistance. Methods: We conducted an unbiased genome wide CRISPR-Cas9 screen in human HAP1 cells treated with the proteosome inhibitor, Bortezomib (BTZ), to identify genes that may lead to a BTZ-resistant phenotype. We identified several genes that when perturbed, sensitized cells to BTZ including N-glycanase-1 (NGLY-1), Nuclear factor Erythroid 2-Like-1 (NFE2L1), and DNA damage inducible 1 homolog 2 (DDI2). Herein we sought to evaluate the effects of perturbing components of the proteosome rescue pathway in our Singh lab patient derived GBM cell lines by utilizing CRISPR/Cas9 knockout technology in vitro and in vivo. Results: The generation of NGLY-1, DDI2, and NFE2L1 KO cell lines demonstrated functional sensitivity to the proteosome inhibitor Marizomib (MZB) as observed through a significant reduction of the IC50 in the KO cell lines compared to a control. Functional evaluation also revealed a reduction in proliferation capacity as well as sphere formation in these genetically modified GBM lines. Ongoing in vivo work will aim to evaluate the mitigation of this resistant pathway in our NSG mouse models orthotopically transplanted with these patient derived KO cell lines. In an ongoing collaborative effort, we are working to identify and functionally assess a novel small molecule NGLY-1 inhibitor to evaluate preclinical sensitivity to MZB in our in vitro and in vivo models. Citation Format: Alisha Anand, Muhammad Vaseem Shaikh, Chirayu Chokshi, Benjamin Brakel, William Maich, Shan Grewal, Chitra Venugopal, Sheila Singh. Inhibiting elements of the proteasome recovery pathway sensitizes glioblastoma to proteasome inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5846.

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 score0.003
Threshold uncertainty score0.011

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.337
Teacher spread0.304 · 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
Published2024
Admission routes1
Has abstractyes

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