MétaCan
Menu
Back to cohort
Record W4406591519 · doi:10.1186/s13045-024-01645-3

Proteasome inhibition enhances oncolytic reovirus therapy in multiple myeloma independently of its direct cytotoxic effects

2025· article· en· W4406591519 on OpenAlexaff
Ada Donà, Theophilus Tandoh, Lokesh Nigam, Mahmoud Singer, Enrico Caserta, Mariam Murtadha, Yinghui Zhu, Milad Moloudizargari, Preeti Sharma, Ottavio Napolitano, Janet Winchester, Arnab Chowdhury, Alexander Pozhitkov, James F. Sanchez, Hawa Vahed, Guido Marcucci, Matt Coffey, Gerard J. Nuovo, Douglas W. Sborov, Flavia Pichiorri, Craig C. Hofmeister

Bibliographic record

VenueJournal of Hematology & Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsOncolytics Biotech (Canada)
FundersNational Cancer InstituteNational Institutes of HealthCalifornia Institute for Regenerative Medicine
KeywordsOncolytic virusImmune systemFlow cytometryEx vivoCancer researchCytotoxic T cellBiologyProteasome inhibitorBortezomibIn vivoImmunologyMultiple myelomaMedicineIn vitro

Abstract

fetched live from OpenAlex

BACKGROUND: Reovirus (RV) is an oncolytic virus with natural tropism for cancer cells. We previously showed that RV administration in multiple myeloma (MM) patients was safe, but disease control associated with viral replication in the cancer cells was not observed. The combination with proteasome inhibitors (PIs) has shown to enhance RV therapeutic activity, but the mechanisms of action have not been fully elucidated. METHODS: Electron microscopy, q-RT-PCR, single-cell mass cytometry (CyTOF), flow cytometry, plaque assays, immunohistochemistry, and Western blot analysis were used to assess RV infection of both myeloma and immune cells. Immune fluorescence, flow cytometry, and luciferase reporter assays were used to assess NF-κB pathway activation upon RV treatments. Immune profiling changes, both ex vivo and in MM patients, were analyzed by flow cytometry and CyTOF analysis. T-cell receptor (TCR) sequencing was also conducted both in immune competent MM mice and in patients enrolled in a phase 1b trial per a standard 3 + 3 dose escalation schedule. RESULTS: Here we show ex vivo and in vivo that proteasome inhibitors (PIs) potentiate reovirus replication in circulating classical monocytes, increasing viral delivery to myeloma cells. We found that the anti-viral signals in monocytes primarily rely on NF-κB activation and that this effect is impaired by the addition of PIs. Conversely, the addition of PIs to RV therapy supports immune activation and killing of MM, independently of direct PI sensitivity. To validate the importance of PIs in enhancing oncolytic viral therapy independently of their killing activity on cancer cells, we then conducted a phase 1b trial of the reovirus Pelareorep together with the PI carfilzomib in 13 heavily pretreated PI-resistant MM patients. Objective responses, which were associated with active reovirus replication in MM cells, T cell activation, and monocytic expansion, were noted in 70% of patients. CONCLUSIONS: Although characterized as immunosuppressive drugs, PIs improved RV delivery to MM cells but also enhanced anti-MM efficacy through immune-mediated killing of myeloma cells, independently of their PI sensitivity. These results highlight a more generalizable use of PIs as therapeutic companions to support oncolytic-based therapies in cancers. TRIAL REGISTRATION: clinicaltrials.gov, NCT02101944.

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)0.001
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 score0.012
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.016
GPT teacher head0.329
Teacher spread0.312 · 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

Citations9
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hematology & OncologySame topicVirus-based gene therapy researchFrench-language works237,207