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In Vitro Growth Inhibition, Target Modulation and Drug Synergy In Pediatric Leukemia By The Novel Proteasome Inhibitor Carfilzomib

2013· article· en· W2979595928 on OpenAlexaff
Aarthi Jayanthan, Yibing Ruan, Meaghan Hagerty, Ravi Shah, Tony H. Truong, Victor Lewis, Jessica Boklan, Tanya Trippett, Lia Gore, Aru Narendran

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsCarfilzomibBortezomibProteasome inhibitorLeukemiaCancer researchMultiple myelomaPharmacologyBiologyImmunologyMedicine

Abstract

fetched live from OpenAlex

Abstract Introduction Despite the considerable progress that has been made in past two decades, relapsed or refractory leukemia still remains a leading cause of death in children. Acute and long term toxicities prevent significant further intensification of current chemotherapeutic regimens. Hence, effective pre-clinical data on new agents and novel therapeutic approaches are urgently needed. Recent studies have established proteasome inhibition as a distinctive and effective way to induce cytotoxicity in tumor cells that have acquired resistance to conventional chemotherapy. Although they represent a major advancement in the treatment of various hematological malignancies, the first generation proteasome inhibitors exhibit measurable off-target toxicities and the eventual development of resistance. Carfilzomib (CFZ) is a selective proteasome inhibitor that is structurally distinct from bortezomib and has shown efficacy and favorable toxicity profile in multiple myeloma patients. Mechanistically, carfilzomib has been shown to irreversibly bind and inhibit the chymotrypsin-like activity of the 20S proteasome and to cause the accumulation of polyubiquinated proteins resulting in cell cycle arrest, apoptosis, and suppression of tumor growth. Methods A diverse panel of pediatric leukemia derived cell lines and primary leukemia specimens (n = 12) were used to evaluate CFZ induced in vitro cytotoxicity using the Alamar blue assay. These cell lines include leukemia with abnormal FLT3 (FLT3-ITD and over-expression), Bcr-Abl fusion, extremely high white blood cell count variants, mixed lineage leukemia and Juvenile Myelomonocytic Leukemia (JMML) cells that are hyper-stimulated with exogenous GM-CSF. A luminescent based technique that individually measures protease activities associated with the proteasome complex in cultured cells (Promega, Cell-Based Proteasome-Glo Assay) was used to evaluate the mechanism of CFZ activity in these cells. Drug combination studies were carried out with etoposide, cytarabine, sorafenib and mefloquine using Chou and Talalay methodology. Target modulation, induction of apoptosis and the modulation of autophagy were evaluated by Western Blot analysis of cells treated with CFZ at defined time periods. Results Carfilzomib induced effective cytotoxicity in all leukemia cells tested (IC50 mean = 7 nM, range = 0.2 – 10 nM). Cell based proteasome assays confirmed the targeted and specific activity of CFZ in these cells. Infant leukemia cells with FLT3 over-expression were highly sensitive to CFZ followed by cells with ITD. Primary JMML cells that showed high growth stimulation with GM-CSF were also significantly affected by CFZ (IC50 = 0.2 nM). Although the extent of drug synergy varied between AML and ALL cells, CFZ synergized with all four agents (Combination Index (CI) mean = 0.47, range = 0.2 – 0.9). Induction of apoptosis by CFZ was evidenced by the increase in the active fragments of caspase 7 and 8 and PARP cleavage. CFZ also modulated autophagy by showing concentration regulated changes in p62 and LC3B. However, this effect appears to be restricted to AML cells. In vitro clonogenic assays using normal human CD34+ cells showed that even at 10 nM concentration, CFZ has no detectable inhibition on erythroid or myeloid colony formation. Discussion Carfilzomib is a potent, selective and irreversible inhibitor of the ubiquitin-proteasome pathway in cancer cells and has shown an acceptable toxicity profile in adult clinical trials. Our current data substantiates its potential as an active anti-leukemic agent in currently difficult to cure pediatric leukemia subtypes. Furthermore, we provide evidence on useful drug combinations and target modulation data to characterize the molecular mechanisms and biological correlates of distinct proteasome inhibitors in pediatric leukemia. This information provides key primary data for further in vivo studies and to design effective early phase clinical trials in the near future. Disclosures: No relevant conflicts of interest to declare.

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 score0.003

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)0.0010.000

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 head0.005
GPT teacher head0.187
Teacher spread0.183 · 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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Citations1
Published2013
Admission routes1
Has abstractyes

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