MétaCan
Menu
← Back to cohort
Record W2334501021 · doi:10.1158/1538-7445.am2013-2989

Abstract 2989: Loss of methylation in a regulatory region of BCL2 in MDS/AML.

2013· article· en· W2334501021 on OpenAlexaff
Sang‐Min Lee, Naomi Galili, Stephen D. Nimer, Mark D. Minden, Vundavalli V. Murty, Suresh C. Jhanwar, Azra Raza, Benjamin Tycko

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMyelodysplastic syndromesDNA methylationMyeloid leukemiaBone marrowCancer researchMethylationBiologyInternational Prognostic Scoring SystemLeukemiaAzacitidineOncologyInternal medicineMedicineImmunologyGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Abstract Background: Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal hematopoietic disorders characterized by ineffective hematopoiesis and increased risk of progression to acute myeloid leukemia (AML). A hallmark of MDS is increased apoptosis, while AML undergoes decreased apoptosis and increased proliferation. BCL2, an anti-apoptotic protein, is overexpressed in high grade MDS and AML and may confer poor prognosis and increased chemotherapy resistance. In this study we examined the DNA methylation status of BCL2 in MDS and AML. Methods: We conducted DNA methylation profiling on genomic DNA extracted from bone marrows of 22 refractory anemia with ringed sideroblasts (RARS), 8 refractory anemia with excess blasts (RAEB), 21 de novo AML, 21 therapy related AML, and 7 normal volunteers. We used both Illumina 27K BeadChip and 450K BeadChip methylation arrays to assess CpG methylation. Standard student T-test was used to screen differentially methylated MDS and AML CpG sites compared to normal samples. We validated the microarray data by combined bisulfite restriction analysis (COBRA) and bisulfite sequencing. Results: We identified a region in the BCL2 gene body that was among the most differentially methylated in MDS and AML versus normal bone marrow. Within that amplicon, BCL2 in both RARS, a low grade MDS, and RAEB, a high grade MDS, were hypermethylated compared to normal bone marrow (43% vs 18%, 48% vs 18%, respectively, p<0.05). BCL2 in de novo AML and therapy related AML were hypomethylated compared to normal bone marrow (12% vs 35%, 13% vs 35%, respectively, p<0.05). We validated these results by COBRA and bisulfite sequencing. This region coincided with H3K27ac and H3K4m1 enhancer type marks in ENCODE data in normal cells. Conclusions: Our study identifies a region of BCL2 that is hypermethylated in both low and high risk MDS while hypomethylated in AML compared to normal bone marrows. We hypothesize aberrant epigenetic modification of BCL2 plays a key role in apoptosis and transformation from MDS to AML, and our data support the idea of combining demethylating drugs with BCL2 antagonists. We are currently investigating whether BCL2 protein expression correlates with methylation, and plan to map the histone marks with CHIP-seq to correlate chromatin accessibility and DNA methylation in BCL2. Citation Format: Sangmin Lee, Naomi Galili, Stephen Nimer, Mark D. Minden, Vundavalli V. Murty, Suresh Jhanwar, Azra Raza, Benjamin Tycko. Loss of methylation in a regulatory region of BCL2 in MDS/AML. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2989. doi:10.1158/1538-7445.AM2013-2989

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 score0.013

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)0.0040.001

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 head0.087
GPT teacher head0.418
Teacher spread0.330 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicAcute Myeloid Leukemia Research→French-language works237,207→