MétaCan
Menu
← Back to cohort
Record W2953653332 · doi:10.1158/1538-7445.am2019-2720

Abstract 2720: Mitochondrial ClpP-mediated proteolysis induces selective cancer cell lethality

2019· article· en· W2953653332 on OpenAlexaff
Jo Ishizawa, Sarah F. Zarabi, R. Eric Davis, Ondrej Halgas, Takenobu Nii, Yulia Jitkova, Ran Zhao, Jonathan St‐Germain, Lauren Heese, Grace Egan, Vivian Ruvolo, Samir H. Barghout, Yuki Nishida, Rose Hurren, Wencai Ma, Marcela Gronda, Todd Link, Keith S. Wong, Mark Mabanglo, Kensuke Kojima, Gautam Borthakur, Neil MacLean, Man Chun John, Andrew B. Leber, Mark D. Minden, Walid A. Houry, Hagop M. Kantarjian, Martin Stogniew, Brian Raught, E.F. Pai, Aaron D. Schimmer, Michael Andreeff

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsProteaseProteolysisIn vivoIn vitroCancer cellBiologySynthetic lethalityCancerMutantProgrammed cell deathApoptosisCell biologyCancer researchBiochemistryChemistryEnzymeGeneGenetics

Abstract

fetched live from OpenAlex

Abstract ClpP is a mitochondrial protease and a major protein quality control mediator that primarily interacts with metabolic enzymes in mitochondria. Here, we demonstrate that activation of this protease results in prominent anti-cancer activity, and propose ClpP activation as a novel therapeutic strategy for cancer and hematologic malignancies. We used genetic and chemical tools to activate ClpP. In a genetic approach, we tested the anti-cancer effects of ClpP activation by expressing a constitutively active ClpP mutant. Indeed, induction of the active ClpP mutant induced apoptosis in vitro and inhibited tumor progression in vivo. To further explore the antineoplastic effects of ClpP activation, we then performed a chemical screen of an in-house library of on-patent and off-patent drugs and identified imipridones (ONC201 and ONC212) as potent ClpP agonists. Imipridones are first-in-class antineoplastic agents and have shown preclinical efficacy in various malignancies in vitro and in vivo and are currently being evaluated in clinical trials in a diverse spectrum of cancers. Importantly, we and others have shown that their activity is agnostic to TP53 mutational status. Of note, molecular targets of imipridones that bind the drugs and are functionally important for their cytotoxicity have never been identified. Through extensive chemical investigations, including analysis of binding mechanism of the compounds to ClpP in cell free (ITC) and cell based assays (CETSA) as well as molecular analysis of the crystal structure, we demonstrate that these molecules bind ClpP non-covalently, and activate the protease by stabilizing the ClpP 14-mer, enlarging the axial pores of the complex, and inducing structural changes in the residues surrounding and including the catalytic triad. In leukemia, lymphoma and colon cancer cells including primary acute myeloid leukemia (AML) cells, both compounds displayed potent ClpP-dependent cytotoxicity with IC50s in low micro- or nanomolar ranges. Importantly, in primary AML samples, pretreatment ClpP levels correlated with response to imipridones. In lymphoma and AML xenograft models, both genetic and chemical activation of ClpP resulted in antitumor effects, while expression of inactive D190A ClpP mutant induced resistance. Mechanistically, ClpP activation leads to increased degradation of substrates of the enzyme including respiratory chain complex subunits and mitochondrial translation system. The resultant impaired mitochondrial structure and reduction in oxygen consumption is selectively cytotoxic to malignant cells that rely highly on mitochondrial energy production for their survival, whereas normal cells are not affected. In conclusion, ClpP activation is an entirely novel therapeutic strategy for malignant tumors. Our findings also suggest a general concept of inducing TP53-independent cancer cell lethality through activation of mitochondrial proteolysis. Citation Format: Jo Ishizawa, Sarah F. Zarabi, R Eric Davis, Ondrej Halgas, Takenobu Nii, Yulia Jitkova, Ran Zhao, Jonathan St-Germain, Lauren E. Heese, Grace Egan, Vivian R. Ruvolo, Samir H. Barghout, Yuki Nishida, Rose Hurren, Wencai Ma, Marcela Gronda, Todd Link, Keith Wong, Mark Mabanglo, Kensuke Kojima, Gautam Borthakur, Neil MacLean, John Man Chun Ma, Andrew B. Leber, Mark D. Minden, Walid Houry, Hagop Kantarjian, Martin Stogniew, Brian Raught, Emil F. Pai, Aaron D. Schimmer, Michael Andreeff. Mitochondrial ClpP-mediated proteolysis induces selective cancer cell lethality [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2720.

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 score0.004
Threshold uncertainty score0.014

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 head0.046
GPT teacher head0.363
Teacher spread0.317 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicUbiquitin and proteasome pathways→French-language works237,207→