Evidence map›Paper›PMID 31772163›Full record

ArticleNature communications2019

Invariant patterns of clonal succession determine specific clinical features of myelodysplastic syndromes.

Yasunobu Nagata, Hideki Makishima, Cassandra M Kerr, Bartlomiej P Przychodzen, Mai Aly, Abhinav Goyal, Hassan Awada, Mohammad Fahad Asad, Teodora Kuzmanovic, Hiromichi Suzuki and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.4field-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

49 citing papers in PubMed, 69 citations in OpenAlex.

  1. Trial
  2. Review
  3. Long-read sequencing resolvesHaematologica · 2026
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  13. Discovery of U2AF1 neoantigens in myeloid neoplasms.Journal for immunotherapy of cancer · 2023
    Article
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  15. Review
  16. Article
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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

24 authors at 5 institutions in 3 countries.

Yasunobu NagataDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA. ysnagata-tky@umin.ac.jp.
Hideki MakishimaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0001-5983-8578
Cassandra M KerrDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Bartlomiej P PrzychodzenDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Mai AlyDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Abhinav GoyalDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Hassan AwadaDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Mohammad Fahad AsadDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Teodora KuzmanovicDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Hiromichi SuzukiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tetsuichi YoshizatoDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kenichi ChibaLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Hiroko TanakaLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9634-8922
Yuichi ShiraishiLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Satoru MiyanoLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Sudipto MukherjeeDepartment of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Thomas LaFramboiseDepartment ofGenetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
Aziz NazhaDepartment of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Mikkael A SekeresDepartment of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Tomas RadivoyevitchDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-9701-1851
Torsten HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Jaroslaw P MaciejewskiDepartment of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA. maciejj@ccf.org.
Cleveland Clinic · USKyoto University · JPThe University of Tokyo · JPCase Western Reserve University · USMunich Leukemia Laboratory (Germany) · DE

Funding

TRANSLATIONAL RESEARCH ONCOLOGY TRAINING GRANTK12CA076917 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GERSON, STANTON L. · 1997 to 2022
$14.2M
NCI NIH HHS K12 CA076917
6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) arise in older adults through stepwise acquisitions of multiple somatic mutations. Here, analyzing 1809 MDS patients, we infer clonal architecture by using a stringent, the single-cell sequencing validated PyClone bioanalytic pipeline, and assess the position of the mutations within the clonal architecture. All 3,971 mutations are grouped based on their rank in the deduced clonal hierarchy (dominant and secondary). We evaluated how they affect the resultant morphology, progression, survival and response to therapies. Mutations of SF3B1, U2AF1, and TP53 are more likely to be dominant, those of ASXL1, CBL, and KRAS are secondary. Among distinct combinations of dominant/secondary mutations we identified 37 significant relationships, of which 12 affect clinical phenotypes, 5 cooperatively associate with poor prognosis. They also predict response to hypomethylating therapies. The clonal hierarchy has distinct ranking and the resultant invariant combinations of dominant/secondary mutations yield novel insights into the specific clinical phenotype of MDS.

Indexed as

MutationAgedExome SequencingFemaleHematopoiesisHumansLeukemia, Myeloid, AcuteMaleMyelodysplastic SyndromesPhenotypePhosphoproteinsPrimary MyelofibrosisRNA Splicing FactorsSplicing Factor U2AFTreatment OutcomeTumor Suppressor Protein p53PhosphoproteinsRNA Splicing FactorsSF3B1 protein, humanSplicing Factor U2AFTP53 protein, humanTumor Suppressor Protein p53U2AF1 protein, human

Identifiers

PMID31772163
PMCPMC6879617
OpenAlexW2991054796

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.