Evidence map›Paper›PMID 32763828›Full record

ArticleEBioMedicine2020

Chronic myelomonocytic leukaemia stem cell transcriptomes anticipate disease morphology and outcome.

Daniel H Wiseman, Syed M Baker, Arundhati V Dongre, Kristian Gurashi, Joanna A Storer, Tim Cp Somervaille, Kiran Batta

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  6. Pathway analysis through mutual information.Bioinformatics (Oxford, England) · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Daniel H WisemanEpigenetics of Haematopoiesis Laboratory, Division of Cancer Sciences, The University of Manchester, Manchester M20 4GJ, UK. Electronic address: daniel.wiseman@manchester.ac.uk.
Syed M BakerDivision of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK.
Arundhati V DongreEpigenetics of Haematopoiesis Laboratory, Division of Cancer Sciences, The University of Manchester, Manchester M20 4GJ, UK.
Kristian GurashiEpigenetics of Haematopoiesis Laboratory, Division of Cancer Sciences, The University of Manchester, Manchester M20 4GJ, UK.
Joanna A StorerEpigenetics of Haematopoiesis Laboratory, Division of Cancer Sciences, The University of Manchester, Manchester M20 4GJ, UK.
Tim Cp SomervailleLeukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4GJ, UK.
Kiran BattaEpigenetics of Haematopoiesis Laboratory, Division of Cancer Sciences, The University of Manchester, Manchester M20 4GJ, UK. Electronic address: kiran.batta@manchester.ac.uk.
University of Manchester · GB

Funding

Cancer Research UK 29389Medical Research Council MR/M008908/1
6 · The paper itself

Abstract

backgroundChronic myelomonocytic leukaemia (CMML) is a clinically heterogeneous stem cell malignancy with overlapping features of myelodysplasia and myeloproliferation. Over 90% of patients carry mutations in epigenetic and/or splicing genes, typically detectable in the Lin

methodsWe performed single-cell RNA sequencing on 6826 Lin

findingsWe found substantial inter- and intra-patient heterogeneity, with CMML stem cells displaying distinctive transcriptional programs. Compared with normal controls, CMML stem cells exhibited transcriptomes characterized by increased expression of myeloid-lineage and cell cycle genes, and lower expression of genes selectively expressed by normal haematopoietic stem cells. Neutrophil-primed progenitor genes and a MYC transcription factor regulome were prominent in stem cells from CMML-1 patients, whereas CMML-2 stem cells exhibited strong expression of interferon-regulatory factor regulomes, including those associated with IRF1, IRF7 and IRF8. CMML-1 and CMML-2 stem cells (stages distinguished by proportion of downstream blasts and promonocytes) differed substantially in both transcriptome and pseudotime, indicating fundamentally different biology underpinning these disease states. Gene expression and pathway analyses highlighted potentially tractable therapeutic vulnerabilities for downstream investigation. Importantly, CMML patients harboured variably-sized subpopulations of transcriptionally normal stem cells, indicating a potential reservoir to restore functional haematopoiesis.

interpretationOur findings provide novel insights into the CMML stem cell compartment, revealing an unexpected degree of heterogeneity and demonstrating that CMML stem cell transcriptomes anticipate disease morphology, and therefore outcome.

fundingProject funding was supported by Oglesby Charitable Trust, Cancer Research UK, Blood Cancer UK, and UK Medical Research Council.

Indexed as

Gene Regulatory NetworksAdultCase-Control StudiesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansImmunophenotypingLeukemia, Myelomonocytic, ChronicMaleMiddle AgedNeoplastic Stem CellsSequence Analysis, RNASingle-Cell AnalysisCMMLLeukaemiasc-RNA SeqStem cells

Identifiers

PMID32763828
PMCPMC7403890
OpenAlexW3043099165

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.