Evidence map›Paper›PMID 36989067›Full record

ArticleBlood advances2023

Postazacitidine clone size predicts long-term outcome of patients with myelodysplastic syndromes and related myeloid neoplasms.

Yasuhito Nannya, Magnus Tobiasson, Shinya Sato, Elsa Bernard, Shigeki Ohtake, June Takeda, Maria Creignou, Lanying Zhao, Manabu Kusakabe, Yuhei Shibata and 28 more

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Article in Blood advances, 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
7.0field-weighted citation impact, top 3% 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, 24 citations in OpenAlex.

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  4. [Germline DDX41 mutations and myelodysplastic neoplasms].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026
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  5. Germline DDX41 mutations in myeloid neoplasms: a comprehensive review.The Korean journal of internal medicine · 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

38 authors at 17 institutions in 3 countries.

Yasuhito NannyaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Magnus TobiassonDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-3633-5852
Shinya SatoDepartment of Hematology, Atomic Bomb Disease and Hibakusha Medicine Unit, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan.
Elsa BernardDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-2057-7187
Shigeki OhtakeKanazawa University, Kanazawa, Japan.ORCID 0000-0003-0112-6564
June TakedaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Maria CreignouDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-7629-0871
Lanying ZhaoDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-3959-0699
Manabu KusakabeDepartment of Hematology, University of Tsukuba, Tsukuba, Japan.
Yuhei ShibataDepartment of Hematology, Gifu Municipal Hospital, Gifu, Japan.ORCID 0000-0003-2040-8903
Nobuhiko NakamuraDepartment of Hematology & Infectious Disease, Gifu University Hospital, Gifu, Japan.ORCID 0000-0003-1682-7777
Mizuki WatanabeDepartment of Hematology and Oncology, Kyoto University, Kyoto, Japan.ORCID 0000-0002-4030-4653
Nobuhiro HiramotoDepartment of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan.
Yusuke ShiozawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuichi ShiraishiDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Hiroko TanakaDepartment of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nobuyuki KakiuchiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0003-4893-5414
Hideki MakishimaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masahiro NakagawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-6420-2555
Kensuke UsukiDepartment of Hematology, NTT Medical Center Tokyo, Tokyo, Japan.ORCID 0000-0002-1216-4470
Mitsumasa WatanabeDepartment of Hematology, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.
Kazunori ImadaDepartment of Hematology, Japan Red Cross Osaka Hospital, Osaka, Japan.
Hiroshi HandaDepartment of Hematology, Gunma University, Gunma, Japan.
Masataka TaguchiDepartment of Hematology, Sasebo City General Hospital, Nagasaki, Japan.ORCID 0000-0002-0642-5814
Toru KiguchiDepartment of Hematology, Chugoku Central Hospital, Hiroshima, Japan.ORCID 0000-0003-2322-4798
Kazuma OhyashikiDepartment of Hematology, Tokyo Medical University, Tokyo, Japan.ORCID 0000-0003-0845-5758
Takayuki IshikawaDepartment of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan.
Akifumi Takaori-KondoDepartment of Hematology and Oncology, Kyoto University, Kyoto, Japan.ORCID 0000-0001-7678-4284
Hisashi TsurumiDepartment of Hematology & Infectious Disease, Gifu University Hospital, Gifu, Japan.
Senji KasaharaDepartment of Hematology, Gifu Municipal Hospital, Gifu, Japan.ORCID 0000-0002-1784-2402
Shigeru ChibaDepartment of Hematology, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0001-7803-7338
Tomoki NaoeJapan Adult Leukemia Study Group, Japan.
Satoru MiyanoDepartment of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID 0000-0002-1753-6616
Elli PapaemanuilDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Yasushi MiyazakiDepartment of Hematology, Atomic Bomb Disease and Hibakusha Medicine Unit, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan.
Eva Hellström-LindbergDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-7778-5374
Kyoto University · JPKarolinska University Hospital · SEGifu Municipal Hospital · JPGifu University Hospital · JPKobe City Medical Center General Hospital · JPMemorial Sloan Kettering Cancer Center · USNagasaki University · JPTokyo Medical and Dental University · JPUniversity of Tsukuba · JPChugoku Central Hospital · JPGunma University · JPKanazawa University · JPNagoya Medical Center · JPNTT Medical Center · JPOsaka Hospital · JPSasebo City General Hospital · JPTokyo Medical University · JP

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Azacitidine is a mainstay of therapy for myelodysplastic syndrome (MDS)-related diseases. The purpose of our study is to elucidate the effect of gene mutations on hematological response and overall survival (OS), particularly focusing on their posttreatment clone size. We enrolled a total of 449 patients with MDS or related myeloid neoplasms. They were analyzed for gene mutations in pretreatment (n = 449) and posttreatment (n = 289) bone marrow samples using targeted-capture sequencing to assess the impact of gene mutations and their posttreatment clone size on treatment outcomes. In Cox proportional hazard modeling, multihit TP53 mutation (hazard ratio [HR], 2.03; 95% confidence interval [CI], 1.42-2.91; P < .001), EZH2 mutation (HR, 1.71; 95% CI, 1.14-2.54; P = .009), and DDX41 mutation (HR, 0.33; 95% CI, 0.17-0.62; P < .001), together with age, high-risk karyotypes, low platelets, and high blast counts, independently predicted OS. Posttreatment clone size accounting for all drivers significantly correlated with International Working Group (IWG) response (P < .001, using trend test), except for that of DDX41-mutated clones, which did not predict IWG response. Combined, IWG response and posttreatment clone size further improved the prediction of the original model and even that of a recently proposed molecular prediction model, the molecular International Prognostic Scoring System (IPSS-M; c-index, 0.653 vs 0.688; P < .001, using likelihood ratio test). In conclusion, evaluation of posttreatment clone size, together with the pretreatment mutational profile as well as the IWG response play a role in better prognostication of azacitidine-treated patients with myelodysplasia.

Indexed as

Myelodysplastic SyndromesMyeloproliferative DisordersNeoplasmsAzacitidineHumansPrognosisTreatment OutcomeAzacitidine

Identifiers

PMID36989067
PMCPMC10365941
OpenAlexW4361282956

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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.