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PO-372 Investigating the epigenetic changes underlying combination treatment of acute promyelocytic leukaemia with all-trans retinoic acid and arsenic trioxide

2018· article· en· W2810273617 on OpenAlexaff
Thomas T. Huynh, Dejan Vidovic, Christopher Dean, K. Lee, Ian C.G. Weaver, Paola Marcato

Bibliographic record

VenueESMO Open · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsArsenic trioxideAcute promyelocytic leukemiaRetinoic acidEpigeneticsArsenicCancer researchTretinoinMedicineChemistryBiochemistryOrganic chemistryGene

Abstract

fetched live from OpenAlex

Introduction Acute promyelocytic leukaemia (APL) results in the interrupted differentiation of granulocytes. Combination induction therapy using all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) is the most effective treatment of APL. DNA methylation and histone modifications are epigenetic mechanisms of gene regulation aberrant in APL. While ATRA treatment of APL NB4 cells restores granulocyte differentiation and induces significant genome-wide changes in histone modifications, it does not affect the aberrant DNA methylation. Similarly, ATO has comparable effects. Therefore, we hypothesise that the increased effectiveness of ATRA and ATO when combined is due to epigenetic changes at both the histone and DNA methylation level, resulting in profound changes in gene expression. Material and methods We identified the concentration of ATRA and ATO in combination that induced enhanced differentiation and cell death of NB4 cells in comparison to single agent treatment through fluorescence activated cells sorting (FACS) of CD11b and 7-AAD labelled cells at 72 hours and 96 hours post treatment termination. Quantitative PCR (qPCR) was performed to determine the expression levels of a panel of genes after 72 hours of treatment and 96 hours post treatment termination. Results and discussions ATRA and ATO in combination induced significant differentiation and cell death of NB4 cells after 72 hours. Interestingly, only the combination-treated cells maintained differentiation when treatment was terminated for 96 hours. Additionally,combination treatment significantly increased the expression of several genes important in APL compared to single agent treatment after 72 hours as well as 96 hours post treatment termination. Chromatin immunoprecipitation (ChIP) is currently being utilised to investigate the enrichment of chromatin with acetylated and methylated histones, and qPCR was performed to assess the enrichment of several genes of interest. Finally, bisulfite pyrosequencing is being performed to characterise the specific methylation pattern of these genes of interest. Conclusion ATRA and ATO in combination synergistically induces the differentiation of APL NB4 cells. Together, the ChIP and bisulfite pyrosequencing experiments will enable us to characterise the effects of combination treatment at the epigenetic level. Ultimately, understanding the epigenetic changes induced by ATO and ATRA synergy can help improve treatment in the clinic.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.039
GPT teacher head0.304
Teacher spread0.265 · 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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

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