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Abstract P19: Mitohormetic Regulation in Multiple Myeloma: Exploiting Mitochondrial Stress Responses for Therapeutic Gain

2024· article· en· W4392384615 on OpenAlexaff
Serges P. Tsofack, Danielle Croucher, Benjamin G. Barwick, Zhihua Li, Ahmed Aman, Benjamin Haibe‐Kains, Suzanne Trudel, Lawrence Boise, Aaron D. Schimmer

Bibliographic record

VenueBlood Cancer Discovery · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsOntario Institute for Cancer ResearchUniversity Health Network
Fundersnot available
KeywordsMultiple myelomaStress (linguistics)MedicinePsychologyInternal medicineLinguistics

Abstract

fetched live from OpenAlex

Abstract Background: Mitohormesis, characterized by adaptive mito-protective mechanisms in response to mitochondrial stress, primarily induced by reactive oxygen species (ROS), plays a pivotal role in Multiple Myeloma (MM). We postulate that malignant plasma cells exploit this process to maintain ROS within a homeostatic range, thereby enhancing mitochondrial fitness and avoiding apoptosis. This study investigates the activation of mitohormesis in MM and explores the therapeutic potential of targeting excessive mitochondrial stress. Methods: We analyzed the activation of the mitochondrial unfolded protein response (UPRMT) across different stages of MM progression using single-cell RNA sequencing data from Vκ*MYC mice. For in vivo studies, we employed NOD-SCID mice, which were either subcutaneously injected with MM cells or tail injected with KMS11/luciferase cells carrying either doxycycline-inducible TIMM23 shRNA lentivirus or control vectors. Results: Our comprehensive analysis reveals a clear correlation between UPRMT activation and MM progression. We observed an increase in UPRMT gene expression in Vκ*MYC mice and in newly diagnosed MM (NDMM) patients, which correlated with progression from precursor disease. Further, higher UPRMT gene signature scores were associated with shorter progression-free survival and overall survival in NDMM. Perturbation of the Translocase of the Inner Membrane 23 (TIM23) complex, a critical regulator of UPRMT, by genetic knockdown or pharmacologic inhibition of TIM23 with MB-10, led to apoptosis in MM cell lines, including those resistant to proteasome inhibitors (PIs). Further, primary patient MM cells were more suspectible to the pro-apoptotic effects of MB-10 then non-transformed cell lines, CD138- non-MM cells and normal donor hematopoietic progenitor cells suggesting the potential for a therapeutic window. MB-10 also induced XBP1 splicing, suggesting that TIM23 inhibition can activate the IRE1/XBP1 branch of the integrated stress response (ISR), potentially overcoming acquired resistance to PIs. Finally, subcutaneous injection of MM cells expressing an inducible shTIMM23 into NOD/SCID mice, followed by doxycycline treatment, confirmed a significant reduction in tumor volume and enhanced survival. These findings were confirmed in a separate study where mice were injected via the tail vein with KMS11/luciferase cells, carrying a doxycycline-inducible shRNA lentivirus observing a significant reduction in tumor growth in mice with inducible shTIMM23 compared to mice with the control vector. Furthermore, a significant improvement in the survival rate was observed in knockdown group. Conclusions: Our findings demonstrate the association of mitohormesis and UPRMT activation with MM progression and adverse clinical outcomes. Targeting mitochondrial import proteins, such as TIM23, disrupts the UPRMT converting it from an adaptive cytoprotective to a cytotoxic proapoptotic response, offering a novel therapeutic strategy for MM. This approach holds promise, including in cases demonstrating resistance to PIs Citation Format: Serges Tsofack, Danielle Croucher, Benjamin Barwick, Zhihua Li, Ahmed Aman, Benjamin Haibe-Kains, Suzanne Trudel, Lawrence Boise, Aaron Schimmer. Mitohormetic Regulation in Multiple Myeloma: Exploiting Mitochondrial Stress Responses for Therapeutic Gain [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P19.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

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)0.0040.001

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 head0.049
GPT teacher head0.341
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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