Evidence map›Paper›PMID 36843114›Full record

ArticleSignal transduction and targeted therapy2023

Integrative phosphoproteomics defines two biologically distinct groups of KMT2A rearranged acute myeloid leukaemia with different drug response phenotypes.

Pedro Casado, Ana Rio-Machin, Juho J Miettinen, Findlay Bewicke-Copley, Kevin Rouault-Pierre, Szilvia Krizsan, Alun Parsons, Vinothini Rajeeve, Farideh Miraki-Moud, David C Taussig and 5 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 31 citations in OpenAlex.

  1. Targeting IMPDH to inhibit SAMHD1 inCell cycle (Georgetown, Tex.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 3 countries.

Pedro CasadoCell Signalling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.ORCID 0000-0002-4207-9349
Ana Rio-MachinCentre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.ORCID 0000-0001-6733-9752
Juho J MiettinenInstitute for Molecular Medicine Finland - FIMM, HiLIFE - Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3987-1693
Findlay Bewicke-CopleyCentre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.
Kevin Rouault-PierreCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.
Szilvia KrizsanHCEMM-SU Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University Budapest, Budapest, Hungary.ORCID 0000-0002-1782-9275
Alun ParsonsInstitute for Molecular Medicine Finland - FIMM, HiLIFE - Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
Vinothini RajeeveCell Signalling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.
Farideh Miraki-MoudCancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, The Institute of Cancer Research, Sutton, UK.
David C TaussigCancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, The Institute of Cancer Research, Sutton, UK.
Csaba BödörHCEMM-SU Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University Budapest, Budapest, Hungary.
John GribbenCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.
Caroline HeckmanInstitute for Molecular Medicine Finland - FIMM, HiLIFE - Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-4324-8706
Jude FitzgibbonCentre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK.
Pedro R CutillasCell Signalling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M6BQ, UK. p.cutillas@qmul.ac.uk.ORCID 0000-0002-3426-2274
Queen Mary University of London · GBUniversity of Helsinki · FIInstitute of Cancer Research · GBSemmelweis University · HUTuring Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M006174/1Cancer Research UK 24375
6 · The paper itself

Abstract

Acute myeloid leukaemia (AML) patients harbouring certain chromosome abnormalities have particularly adverse prognosis. For these patients, targeted therapies have not yet made a significant clinical impact. To understand the molecular landscape of poor prognosis AML we profiled 74 patients from two different centres (in UK and Finland) at the proteomic, phosphoproteomic and drug response phenotypic levels. These data were complemented with transcriptomics analysis for 39 cases. Data integration highlighted a phosphoproteomics signature that define two biologically distinct groups of KMT2A rearranged leukaemia, which we term MLLGA and MLLGB. MLLGA presented increased DOT1L phosphorylation, HOXA gene expression, CDK1 activity and phosphorylation of proteins involved in RNA metabolism, replication and DNA damage when compared to MLLGB and no KMT2A rearranged samples. MLLGA was particularly sensitive to 15 compounds including genotoxic drugs and inhibitors of mitotic kinases and inosine-5-monosphosphate dehydrogenase (IMPDH) relative to other cases. Intermediate-risk KMT2A-MLLT3 cases were mainly represented in a third group closer to MLLGA than to MLLGB. The expression of IMPDH2 and multiple nucleolar proteins was higher in MLLGA and correlated with the response to IMPDH inhibition in KMT2A rearranged leukaemia, suggesting a role of the nucleolar activity in sensitivity to treatment. In summary, our multilayer molecular profiling of AML with poor prognosis and KMT2A-MLLT3 karyotypes identified a phosphoproteomics signature that defines two biologically and phenotypically distinct groups of KMT2A rearranged leukaemia. These data provide a rationale for the potential development of specific therapies for AML patients characterised by the MLLGA phosphoproteomics signature identified in this study.

Indexed as

Leukemia, Myeloid, AcuteProteomicsGene RearrangementHistone-Lysine N-MethyltransferaseHumansMyeloid-Lymphoid Leukemia ProteinNuclear ProteinsPhenotypeHistone-Lysine N-MethyltransferaseKMT2A protein, humanMyeloid-Lymphoid Leukemia ProteinNuclear Proteins

Identifiers

PMID36843114
PMCPMC9968719
OpenAlexW4322184188

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.