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Role of autophagy in temozolomide‐induced apoptosis in Rhabdomyosarcoma cells

2017· article· en· W4389021625 on OpenAlexaff
ADEL REZAEIMOGHADAM, Javad Alizadeh, Jared T. Field, Simone C. da Silva Rosa, Joseph W. Gordon, Saeid Ghavami

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAutophagyATG5ApoptosisProgrammed cell deathTemozolomideCancer researchCell cultureBECN1Viability assayPopulationMTT assayBiologyCell biologyChemistryMedicineBiochemistryGlioma

Abstract

fetched live from OpenAlex

Rhabdomyosarcoma (RMS) is a muscle‐derived tumor and is the most common pediatric soft tissue sarcoma representing 5% of all childhood cancers. RMS is a major clinical problem in pediatric oncology. Treatment of RMS with the oral alkylating agent temozolomide (TMZ), alone or in combination with other drugs, has recently received considerable interest. However, the mechanism of action of TMZ remains unclear. The aim of this investigation was to determine if autophagy modulates TMZ‐induced cell death in RMS cell lines. MTT assay and Nicoletti flow cytometry analysis were used to measure cell death and apoptosis in SJCRH30 (RH30) human RMS cells and the non‐transformed mouse myoblast cell line C2C12, following TMZ treatment (100 μM). We monitored autophagy using transmission electron microcopy (autophagosome and autophagolysosome formation) and immunoblotting (LC3 lipidation, Atg15‐12 conjugation, p62 degredation). The effect of bafilomycin A1 on TMZ‐induced cytotoxicity was also evaluated. We showed that TMZ decreased the viability of RMS cells in a dose/time‐dependent manner and induced accumulation of sub‐G 1 cell population, representing apoptotic cells. Interestingly, TMZ induced apoptosis by 17‐fold in the RH30 cells, but only increased apoptosis by 2.7‐fold in C2C12 cells. In RH30 cells, TMZ decreased the expression of antiapoptotic proteins Bcl‐XL and Mcl‐1, and increased the expression of the death gene Nix. Moreover, we showed that TMZ altered biochemical markers of autophagy, such as LC3 lipidation, Atg5–12 conjugation, and p62 degradation, and induced morphological evidence autophagy, including accumulation of autophagosomes and autophagolysosome, determined by transmission electron. Finally, treatment of RMS cells with the autophagy flux inhibitor (Bafilomycin A1, 4 and 6 nM) had no significant effect TMZ‐induced cell death in either cell line. In conclusion, our investigation showed that TMZ induced simultaneous autophagy and apoptosis in both RH30 and C2C12 cells; however, cell death induction by TMZ does not appear to be dependent on Bafilomycin A1 inhibited processes, such as autophagosome‐lysosome fusion or autolysosome acidification.

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 score0.002

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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
Published2017
Admission routes1
Has abstractyes

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