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Abstract B016: Repurposing nelfinavir for re-sensitizing platinum-resistant high grade serous ovarian cancer cells

2024· article· en· W4392379123 on OpenAlexaff
Benjamin N. Forgie, Alicia A. Goyeneche, Carlos M. Telleria

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsMcGill University
Fundersnot available
KeywordsRepurposingMedicineOvarian cancerSerous fluidCancerOncologyInternal medicineNelfinavirSerous ovarian cancerCancer researchBiologyImmunology

Abstract

fetched live from OpenAlex

Abstract High grade serous ovarian cancer (HGSOC) is the deadliest gynecological malignancy, with a 50% 5-year survival rate. The high mortality rate of HGSOC can be partly attributed to high rates of acquired chemotherapy resistance. HGSOC is treated with surgery and platinum (Pt)-based chemotherapy, represented by cisplatin (CDDP) or CDDP derivatives. Initial treatment is often successful, however, over 80% of patients will acquire Pt resistance. Therefore, Pt resistance remains one of the greatest challenges in HGSOC therapy, and novel therapeutics that increase Pt sensitivity in resistant patients are essential. In this study, we demonstrate that the HIV protease inhibitor nelfinavir (NFV), shown in past work to have anti-cancer properties against HGSOC as a monotherapy, can re-sensitize CDDP-resistant cells to CDDP in vitro. In addition, we show that NFV and CDDP together may be sufficient to induce immunogenic cell death (ICD), an immunostimulatory form of apoptosis characterized by the release of damage associated molecular patterns (DAMPS). HGSOC cell lines that were clinically sensitive (PEO1) or resistant (PEO4) to CDDP were used in cytometric cell counting and colony formation assays to assess the toxicity of the CDDP/NFV combination. Co-treatment of CDDP at increasing concentrations together with a constant concentration of NFV reduced the IC50 of CDDP in PEO4 cells by 6-fold, back down to the IC50 of CDDP observed in PEO1 cells. Using Annexin V/7-AAD staining, we showed that CDDP and NFV together significantly increased the proportion of apoptotic PEO4 cells compared to CDDP alone. DNA damage, assessed through western blotting for gH2AX, was also significantly increased by CDDP/NFV co-treatment compared to CDDP alone. Furthermore, using flow cytometry to detect reactive oxygen species (ROS), we showed that PEO4 cells treated with NFV and CDDP showed increased ROS levels compared to either drug alone. Pre-treatment with a-tocopherol, a ROS scavenger, resulted in partial rescue of PEO4 cell viability, indicating that the toxicity is, at least in part, ROS-dependent. Through western blotting, we showed that CDDP and NFV co-treatment induces high levels of endoplasmic reticulum (ER) stress, resulting in activation of the unfolded protein response (UPR). Of note, we observed increased C/EBP homologous protein (CHOP), a pro-apoptotic factor upregulated upon acute ER stress. Furthermore, co-treatment resulted in phosphorylation of eukaryotic initiation factor 2a (eIF2a), an event required for triggering ICD. Finally, through luminescence-based assays, we showed that CDDP/NFV co-treatment in PEO4 cells resulted in the extracellular release of ATP and the protein high mobility group box 1 (HMGB1), DAMPS required for the induction of ICD. Overall, our results indicate that NFV, when combined with CDDP, is capable of re-sensitizing PEO4 cells to CDDP, through increasing ROS and DNA damage ultimately resulting in apoptosis. Furthermore, NFV and CDDP trigger the ER stress response and DAMP release, suggesting the induction of ICD. Citation Format: Benjamin N. Forgie, Alicia A. Goyeneche, Carlos M. Telleria. Repurposing nelfinavir for re-sensitizing platinum-resistant high grade serous ovarian cancer cells [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr B016.

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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 head0.108
GPT teacher head0.418
Teacher spread0.310 · 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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