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Record W2981158858 · doi:10.1182/blood-2018-99-111304

Chemogenomic Profiling of Complex Karyotype AML Reveals a Novel Susceptibility to G2/M Checkpoint Inhibition Mediated By HMGA2 Overexpression

2018· article· en· W2981158858 on OpenAlexaff
Céline Moison, Vincent‐Philippe Lavallée, Clarisse Thiollier, Jean-François Spinella, Isabel Boivin, Sébastien Lemieux, Anne Marinier, Josée Hébert, Guy Sauvageau

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsInstitute for Research in Immunology and CancerHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsTranscriptomeBiologyGene expression profilingCancer researchNPM1Myeloid leukemiaHMGA2KaryotypeGene signatureCEBPALeukemiaGeneOncologyInternal medicineGeneticsMedicineGene expressionmicroRNAMutationChromosome

Abstract

fetched live from OpenAlex

Abstract Background: Acute myeloid leukemia (AML) with complex karyotype (CK) is associated with adverse prognosis with current therapies, in particular in the presence of TP53 mutations. Identification of novel therapeutic strategies is therefore urgently needed for this subgroup of patients. Methods and aims: As part of the Leucegene project, we RNA sequenced a cohort of 415 clinically annotated primary human AML specimens. Comparative transcriptomic analysis of the 68 CK AML specimens with the non-CK samples of the cohort was performed to identify features associated with the CK AML subgroup. Based on these results, we performed a chemical screen aimed at identifying active agents toward CK AML. Gene expression analysis, primary AML specimen culture and chemical screening were performed as previously described by our group (Lavallée et al., Nature Genetics, 2015; Pabst et al., Nature Methods, 2014; Simon et al., Clinical cancer research, 2017). Results: CK AML is a heterogeneous disease by definition and accordingly, Multidimensional Scaling (MDS) analysis fails to identify a distinct transcriptional signature. Nonetheless, comparative transcriptome analysis of CK and non-CK AML specimens revealed highly deregulated genes between these subgroups (Figure 1A). Among them, EDA2R, a known target to p53, is specifically downregulated in CK AML. This reflects the frequent TP53 alterations observed in CK AML. Most importantly, we found that the recently identified AML prognostic gene HMGA2 is overexpressed in the majority of these patients, independently of the TP53 status. HMGA2 is an oncofetal gene expressed in hematopoietic stem cell (HSC) -enriched populations while its expression decreases in progenitors and is nearly absent in mature cells. Interestingly, Gene Set Enrichment Analysis (GSEA) revealed an enrichment for HSC genes in AML specimens with high HMGA2 expression levels, which could reflect a stem-cell origin or a more immature state for these leukemias. Global transcriptomic analysis of CK AML also identified a G2/M checkpoint signature for HMGA2-high specimens (Figure 1B). Accordingly, we observed that chemical inhibitors of the G2/M regulators ATR, CHK1 and WEE1 are preferentially active on HMGA2-high CK specimens and that engineered overexpression of HMGA2 in different leukemia cell lines enhanced sensitivity to G2/M inhibition (Figure 1C). This specific inhibition was independent of the TP53 status. Conclusions: Here we report a comprehensive transcriptomic analysis of the CK AML specimens of the Leucegene cohort and identified aberrant expression of the HMGA2 oncogene in close to 80% of these samples. Chemical interrogation of primary AML specimens revealed a TP53-independent but HMGA2-mediated sensitization of CK AML to G2/M checkpoint inhibition. Thus, our results reveal a novel vulnerability for AML expressing high levels of HMGA2 and identify potential biological targets for these high-risk patients. Since several CHK1 and PLK1 inhibitors have been or are currently under evaluation in clinical trials, our findings suggest that HMGA2-high AML patients could benefit from this therapeutic approach. Figure 1: A/ Volcano plot representing the genes differentially expressed in CK versus non-CK AML. Samples with low group median expression (<0.1 RPKM) were removed from this representation. B/ Highest enrichment found by Gene Set Enrichment Analysis comparing HMGA2 high (RPKM>2; n=39) and HMGA2 null (RPKM=0; n=83) AML specimens. C/ Dose-response curves and IC50 values for representative compounds in K562 cells infected with control YFP vector (blue) or HMGA2-YFP expressing vector (red). Disclosures Sauvageau: ExCellThera: Employment, Equity Ownership.

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 score0.003

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 head0.307
Teacher spread0.272 · 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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Citations1
Published2018
Admission routes1
Has abstractyes

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