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Record W3214582472 · doi:10.1182/blood-2021-148673

Disrupting Mitohormesis As a Novel Therapeutic Strategy for Multiple Myeloma (MM) Including Those with High Risk Disease and Proteosome Inhibitor Resistance

2021· article· en· W3214582472 on OpenAlexaff
Serges P. Tsofack, Danielle Croucher, Benjamin G. Barwick, Zhihua Li, Ahmed Aman, Dennis Tao, Ellen Wei, Laura Garcia Prat, Aaron D. Schimmer, Suzanne Trudel

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsUnfolded protein responseXBP1Downregulation and upregulationMitochondrionBiologyCancer researchApoptosisGene signatureMolecular biologyGeneCell biologyGene expressionEndoplasmic reticulumGeneticsRNA

Abstract

fetched live from OpenAlex

Abstract Background: Moderate mitochondrial stress induced by multiple mediators but most notably ROS can lead to activation of persistent mito-protective mechanisms termed "Mitohormesis". As a result of massive protein synthesis, malignant plasma cells (PCs) from MM patients (pts) undergo substantial ER stress but in addition high rates of Ig synthesis contributes to overproduction of ROS. We hypothesized that MM cells exploit mitohormesis to maintain ROS in the hometic zone, thereby increasing mitochondrial fitness to avoid apoptosis. We therefore set out to determine if the processes of mitohormesis are activated in MM and whether unmitigated mitochondrial stress can be exploited as a therapeutic strategy in MM. Results: Protective stress mechanisms of mitohormesis include the activation of the mitochondrial UPR (UPR MT),a mitochondrial-to-nuclear signaling pathway mediated by CHOP and ATF5 that upregulates mitochondrial import proteins, chaperones and proteases to maintain mitochondrial proteastasis. We first demonstrated that UPR MT activation occurs with progression from precursor to overt MM. Using a UPR MTgene signature derived from published gene-sets we observed upregulation of UPR MT genes in single-cell RNA sequencing (scRNA-seq) data generated from PCs derived from Vκ*MYC mice (a transgenic mouse model of MM) spanning the spectrum of the disease. UPR MT gene signature scores in PCs from mice increased with disease progression with the highest levels found in late-MM> int-MM> early MM>wild type mice. Similarly, analysis of publicly available gene expression datasets (GSE6477) that includes normal donors, MGUS and newly diagnosed MM (NDMM) revealed higher expression of UPR MT genes in the majority of NDMM, weak expression in MGUS and absence in normal PCs. To assess the impact of UPR MT expression on pt outcomes we calculated a UPR MT index score derived from the median expression of 12 mtUPR classifier genes across the MMRF CoMMpass dataset of NDMM pts. Stratifying pts by UPR MT expression score we found that pts in the top quartile had a significantly shorter PFS and OS compared to pts with the lowest quartile weighted score. Next, we postulated that perturbation of the mitochondrial import protein, Translocase of the Inner Membrane 23 (TIM23) would exaggerate mitochondrial stress as mitochondrial import efficiency is a key regulator of the UPR MT. First, we demonstrated that TIM23 complex genes are enriched in pts from the CoMMpass dataset with poor risk (1q gain and PR gene signature) and that shorter PFS and OS is associated with a higher weighted score of TIM23 complex genes. We then demonstrated that genetic (shRNA) knockdown or pharmacologic inhibition of TIM23 with MB-10, a small molecule inhibitor of TIM23 induced apoptosis of MM cell lines and primary pt PCs. Further non-transformed cell lines, CD138 - non-MM cells and normal donor hematopoietic progenitor cells were less susceptible to the effects of MB-10. Consistent with activation of the UPR MT, treatment of MM cells resulted in increased cytosolic ATF4, CHOP and a shift of ATF5 to the nuclear fraction. Activation of the CHOP-dependent branch of the UPR MT resulted in in upregulation of mitochondrial-targeted proteins, cpn10 and ClpP. Interestingly, MB-10 also induced XBP1 splicing demonstrating that inhibition of TIM23 complex can simultaneously activate the IRE1/XBP1 branch of integrated stress response (ISR), This led us to hypothesize that targeting TIM23 as an alternative means of activating the ISR could overcome acquired resistance to proteosome inhibitors (PIs). Indeed, PI-resistant and parental isogenic cell lines were equally susceptible to MB-10 as measured by IC50 values of cell growth. Finally, we demonstrated that doxycycline inducible knockdown of TIM23 in a mouse xenograft model induced tumor regression with significantly small tumor volumes at the end of 17 days of doxycycline treatment compared to tumors expressing an inducible control vector. Conclusions: These data demonstrate that mitohormesis and UPR MT activation is associated with MM progression and worse clinical outcomes. Further we show that disrupting mitochondrial protein import results in unmitigated mitochondrial stress that switches the UPR MT from an adaptive cytoprotective to cytotoxic proapoptotic response. Thus, targeting mitochondrial import proteins such as TIM23 may represent novel therapeutic targets for MM. Disclosures Schimmer: Takeda Pharmaceuticals: Consultancy, Research Funding; Medivir AB: Research Funding; Novartis: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Otsuka Pharmaceuticals: Consultancy, Honoraria; UHN: Patents & Royalties. Trudel: Janssen: Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Roche: Consultancy; Sanofi: Honoraria; Pfizer: Honoraria, Research Funding; Genentech: Research Funding; BMS/Celgene: Consultancy, Honoraria, Research Funding.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.317
Teacher spread0.273 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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