Evidence map›Paper›PMID 35941135›Full record

ArticleNature communications2022

Unified classification and risk-stratification in Acute Myeloid Leukemia.

Yanis Tazi, Juan E Arango-Ossa, Yangyu Zhou, Elsa Bernard, Ian Thomas, Amanda Gilkes, Sylvie Freeman, Yoann Pradat, Sean J Johnson, Robert Hills and 17 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

120 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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60 more citing papers are in PubMed but not listed here.

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

27 authors.

Yanis TaziComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-1595-9631
Juan E Arango-OssaComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yangyu ZhouComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elsa BernardComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-2057-7187
Ian ThomasCentre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK.
Amanda GilkesDepartment of Haematology, School of Medicine, Cardiff University, Cardiff, UK.
Sylvie FreemanInstitute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.ORCID 0000-0003-1869-180X
Yoann PradatComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-4647-5779
Sean J JohnsonCentre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK.
Robert HillsNuffield Department of Population Health, University of Oxford, Oxford, UK.
Richard DillonDepartment of Medical and Molecular Genetics, King's College, London, UK.ORCID 0000-0001-9333-5296
Max F LevineComputational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-5156-9086
Daniel LeongamornlertCancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, UK.ORCID 0000-0002-3486-3168
Adam ButlerCancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, UK.
Arnold GanserDepartment of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
Lars BullingerDepartment of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Konstanze DöhnerDepartment of Internal Medicine III, Ulm University, Ulm, Germany.ORCID 0000-0002-2261-9862
Oliver OttmannDepartment of Haematology, School of Medicine, Cardiff University, Cardiff, UK.
Richard AdamsCentre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-3915-7243
Hartmut DöhnerDepartment of Internal Medicine III, Ulm University, Ulm, Germany.ORCID 0000-0003-2116-5536
Peter J CampbellCancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, UK.ORCID 0000-0002-3921-0510
Alan K BurnettVisiting Professor University of Glasgow, formerly Cardiff University, Cardiff, UK.ORCID 0000-0003-1734-5817
Michael DennisThe Christie NHS Foundation Trust, Manchester, UK.
Nigel H Russell *Department of Haematology, Nottingham University Hospital, Nottingham, UK.
Sean M Devlin *Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-6801-720X
Brian J P Huntly *Department of Haematology and Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0312-161X
Elli Papaemmanuil *Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. papaemme@mskcc.org.ORCID 0000-0003-1709-8983

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Cancer Research UK 25350Cancer Research UK 25508Cancer Research UK 25643Cancer Research UK 29806Cancer Research UK C18680/A25508Cancer Research UK C49940/A25117Department of Health BRC-1215-20014Medical Research Council MC_PC_17230Medical Research Council MR-R009708-1Medical Research Council MR/R009708/1NCI NIH HHS P30 CA008748Wellcome TrustWellcome Trust 203151/Z/16/ZWellcome Trust 205254/Z/16/Z
6 · The paper itself

Abstract

Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 molecular classes describing 100% of AML patients. Each class represents diverse biological AML subgroups, and is associated with distinct clinical presentation, likelihood of response to induction chemotherapy, risk of relapse and death over time. Secondary AML-2, emerges as the second largest class (24%), associates with high-risk disease, poor prognosis irrespective of flow Minimal Residual Disease (MRD) negativity, and derives significant benefit from transplantation. Guided by class membership we derive a 3-tier risk-stratification score that re-stratifies 26% of patients as compared to standard of care. This results in a unified framework for disease classification and risk-stratification in AML that relies on information from cytogenetics and 32 genes. Last, we develop an open-access patient-tailored clinical decision support tool.

Indexed as

Leukemia, Myeloid, AcuteCytogenetic AnalysisFlow CytometryHumansInduction ChemotherapyMembrane ProteinsNeoplasm, ResidualUbiquitin-Protein LigasesMARCH6 protein, mouseMembrane ProteinsUbiquitin-Protein Ligases

Identifiers

PMID35941135
PMCPMC9360033

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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.