MétaCan
Menu
Back to cohort
Record W2884932824 · doi:10.1017/cjn.2018.261

19 Autophagy related metals in IDH1 mutant glioma: Chloroquine and TMZ as a potential novel strategy to treat IDH1 mt gliomas

2018· article· en· W2884932824 on OpenAlexvenueno aff
Wendy Bautista, Mones Abu‐Asab, Lauren Amable, Leanne Ross, Gregory J. Riggins, Sergei Kozlov

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2018
Typearticle
Languageen
FieldMedicine
TopicFerroptosis and cancer prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsAutophagyIDH1Isocitrate dehydrogenaseGliomaIDH2Cancer researchProgrammed cell deathBiologyMutantMutationMolecular biologyApoptosisBiochemistryEnzymeGene

Abstract

fetched live from OpenAlex

Glioblastoma is considered among the most aggressive cancers, dismal prognosis and overall survival is only 14 months, 80% of primary low grade gliomas and seccondary GBMs that progress from low grade to grade II or III WHO classification have isocitrate dehydrogenase, (IDH1) or IDH2, mutations [1]. IDH1 mutant glioma is characterized by impaired glycolysis activity resulting in an abnormal production of 2-hydroxyglutarate (2-HG) [2] resulting in an undifferentiated phenotype with permanent hyper-methylation status and enhanced proliferation and invasion[3]. Interestingly, the IDH1 mutant phenotype of U87MG glioma cells shows resistance to autophagy induced cell death even in starving and low oxygen conditions [4]. Recent evidence has demonstrated increased autophagy activity on IDH1 mt cytotoxic activity when cells are exposed to autophagy inhibitors such as chloroquine [5]. To this date it remains elusive whether increased autophagy phenotype is the result of IDH1 mutation or if it either represents a secondary co-existing condition in the setting of the IDH1 mutation. Autophagy is also a mechanism of detoxification induced by chronic heavy metal exposure in both normal and cancer cells. Thus, we hypothesized that autophagy activity in IDH1 mt glioma is partially induced by chronic heavy metal exposure, leading to increased cell survival and abnormal DNA repair. Our approach included characterization and quantification of metal content on IDH1 mt glioma cell lines and tissues, in addition to correlation analyses of the celullar metallome with autophagy markers, ROS and DNA repair of IDH1 mt glioma cells allowed us to explore targets responsible for cell survival and DNA repair response. Furthermore, we evaluated the potential therapeutic value of Chloroquine (CQ) and bafylomicin for IDH1 mutant gliomas targeting autophagy pathway in combination with TMZ and radiation. We demonstrated that 2-HG induces autophagy activity via LC3B activation, and autophagy inhibiton by beclin gene silencing results in a reduction of 2-HG leading to cell starvation and apoptosis. Remarkably, we observed a positive correlation on at least six different metals with autophagy induced LC3B and beclin1 expression that significantly differed between the mutant and the wt genotype in glioma cell lines. ROS and DNA repair were also positively associated with at least 6 different metals and only seen in the IDH1 mt cell lines, then suggesting a possible explanation for the increase on autophagy, analysis of both LC3B and beclin 1 expression demonstrated a positive correlation with Mo98, Fe54, and Zn 66 on IDH1 mt cell lines and a positively correlation with Mo98 and V concentrations in relation to H2AX expression. Co, SeO Mo, V and Mg were positively correlated to ROS expression. TMZ and CQ induced autophagy pathway activation as measured by LC3B, Beclin, Atg expression. Silencing beclin in IDH1 mutant glioma cell lines induced apoptosis and reduction on 2-HG production after treatment with TMZ and radiation. Overall the results contained in this study 1) identify cellular metal content in relationship to mechanisms leading to increased autophagy on IDH1 mt glioma cells. 2) evaluate the combination of CQ and TMZ to potentially target and inhibit autophagy as a mechanism downstream the 2-HG production in IDH1 mt glioma cells.

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 head0.035
GPT teacher head0.296
Teacher spread0.261 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicFerroptosis and cancer prognosisFrench-language works237,207