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Record W3047591876 · doi:10.1158/1538-7445.pedca19-b16

Abstract B16: <i>MECOM</i> dysregulation is associated with poor outcome in pediatric therapy-related myeloid neoplasms

2020· article· en· W3047591876 on OpenAlexaboutno aff
Tamara Lamprecht, Jason R. Schwartz, Jing Ma, Michael P. Walsh, Jeffery M. Klco

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMyeloidMedicineCancer researchFusion geneBiologyOncologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Therapy-related myeloid neoplasms (tMN) occur in children as a consequence of cytotoxic therapies used to treat childhood malignancies, are typically resistant to conventional chemotherapies, require hematopoietic cell transplantation as the only curative option, and typically have a dismal prognosis. While the genomic alterations that drive tMN in children have yet to be comprehensively described, alterations involving the MECOM locus have been described in some myeloid neoplasms like tMN. Overexpression of MECOM is associated with poor prognosis in myeloid malignancies, is present in ~10% of adult cases, and occurs at an increased frequency in pediatric AML with KMT2A rearrangements (KMT2Ar). RNA sequencing from a cohort of 56 pediatric tMN cases collected at St. Jude shows that 24 (43%) cases within our cohort express high levels of MECOM (FPKM value >5). In these 24 cases, we identified one with a canonical fusion (RUNX1-MECOM), one with a NUP98 fusion (NUP98-HHEX), and 18 with KMT2Ar. Whole-genome sequencing demonstrated that two of the remaining MECOMHigh cases have a t(2;3)(p21;q26.2) involving MECOM on chromosome 3 and noncoding regions of chromosome 2 adjacent to ZFP36L2, a gene highly expressed in hematopoietic cells. Further, ENCODE data support that this region of the genome is an active enhancer, suggesting a proximity effect in which this enhancer has been hijacked to drive high levels of MECOM expression. The two remaining cases with aberrant and unexplained MECOM expression are currently under evaluation. In our cohort, MECOM expression levels are predictive of a worse outcome (overall survival at 2 years: MECOMHigh=12.5% vs. MECOMLow=40.6%; log rank p<0.01). Although KMT2Ar was frequently present in our cohort 28/56 (50%) and enriched in the MECOMHigh group (MECOMHigh=75% (18/24) vs. MECOMLow=31% (10/32; p<0.01), high MECOM expression did not confer a significant survival difference within the KMT2Ar group (overall survival at 2 years: MECOMHigh=16.7% vs. MECOMLow=40%; log rank p=0.33). In conclusion, we report a large cohort of pediatric tMN and show that high levels of MECOM expression predicts a worse outcome. Additionally, we identify enhancer hijacking as the mechanism through which at least a portion of high MECOM expression may be explained. Citation Format: Tamara Lamprecht, Jason R. Schwartz, Jing Ma, Michael P. Walsh, Jeffery M. Klco. MECOM dysregulation is associated with poor outcome in pediatric therapy-related myeloid neoplasms [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B16.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.085
GPT teacher head0.378
Teacher spread0.293 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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