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Record W3179957602 · doi:10.1158/1538-7445.am2021-1013

Abstract 1013: Mechanistic role of nelfinavir as drug-repurposing strategy against high-grade serous ovarian cancer

2021· article· en· W3179957602 on OpenAlexaff
Mahbuba R. Subeha, Alicia A. Goyeneche, Carlos Telleria

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsNelfinavirMedicineDrugPharmacologyToxicityCisplatinDebulkingOvarian cancerAuranofinCancer cellCancerClonogenic assayDrug repositioningCancer researchOncologyChemotherapyInternal medicineCellBiologyImmunology

Abstract

fetched live from OpenAlex

Abstract Platinum-based therapy following tumor-debulking surgery has been the backbone of treatment for high-grade serous ovarian cancer (HGSOC) since the 1970s; however, high recurrence of platinum-resistant disease necessitates the development of improved alternative therapies. Repurposing market-available drugs as cancer therapeutics carries the prospect of reducing the timeframe and cost of drug development, posing potential benefits to drug-resistant as well as financially underprivileged patients. Nelfinavir (NFV), an orally available anti-HIV drug, has shown promising effects against diverse cancers as demonstrated through a myriad of pre-clinical studies and clinical trials; however, its remedial benefits against HGSOC are still unclear. In this study, we explored the therapeutic efficacy of NFV on HGSOC cells generated from patients when platinum sensitive or resistant. Acute drug toxicity was assessed by total cell count, percent viability, and the level of hypo-diploid DNA content following 72 h of treatment with NFV. Living cells that tolerated 72 h of NFV treatment were subjected to further drug-free re-incubation for 14-21 days, to assess the residual anti-clonogenic potential of the drug. NFV triggered a dose-depended reduction of total cell number and viability, with a parallel increased hypo-diploid DNA content in both platinum-sensitive and resistant HGSOC cells. A dose-dependent reduction in the number of colonies - originating from cells that evaded acute toxicity - suggested long-term residual toxicity of NFV. Western blot analysis of underlying molecular mechanisms revealed phosphorylation of γH2AX, which suggested NFV-mediated induction of DNA damage. NFV also inhibited proliferation signals by reducing the phosphorylation of Akt and ERK. Moreover, NFV stimulated endoplasmic reticulum (ER) stress in a dose-dependent manner, which was evident from the enhanced expression of GRP78, IRE1α, ATF4, CHOP, and phosphorylated eIF2α. A time-dependent steady increase of ATF4 and CHOP suggested a progressive temporal apoptotic shift during NFV treatment. Finally, the cleavage of caspases-3 and -7 and their downstream effector PARP, in association with increased pro-apoptotic protein BAX, indicated caspase-associated cell-death during NFV-mediated cytotoxicity. In summary, we demonstrated that HGSOC cells of differential platinum sensitivities could be therapeutically targeted by NFV via multipronged mechanistic approaches, encouraging its prospective repurposing benefit against HGSOC. Citation Format: Mahbuba R. Subeha, Alicia A. Goyeneche, Carlos M. Telleria. Mechanistic role of nelfinavir as drug-repurposing strategy against high-grade serous ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1013.

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)0.0020.000

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 head0.044
GPT teacher head0.365
Teacher spread0.320 · 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
Published2021
Admission routes1
Has abstractyes

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