Evidence map›Paper›PMID 31804030›Full record

ArticleCancer science2020

Mutation status and burden can improve prognostic prediction of patients with lower-risk myelodysplastic syndromes.

Lingxu Jiang, Yingwan Luo, Shuanghong Zhu, Lu Wang, Liya Ma, Hua Zhang, Chuying Shen, Wenli Yang, Yanling Ren, Xinping Zhou and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  6. [Prognostic significance red blood cell distribution width in myelodysplastic syndromes].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2022
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  18. International journal of molecular sciences · 2020
    Review
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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

17 authors at 1 institution in 1 country.

Lingxu JiangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yingwan LuoDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuanghong ZhuDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lu WangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Liya MaDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hua ZhangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chuying ShenDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wenli YangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yanling RenDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xinping ZhouDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chen MeiDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Li YeDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weilai XuDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haiyang YangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chenxi LuDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jie JinDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-8166-9915
Hongyan TongDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-5603-4160
First Affiliated Hospital Zhejiang University · CN

Funding

National Natural Science Foundation of China 81700121National Natural Science Foundation of China 81800121National Natural Science Foundation of China 81970117
6 · The paper itself

Abstract

Patients with lower-risk myelodysplastic syndromes (LR-MDS) as defined by the International Prognostic Scoring System (IPSS) have more favorable prognosis in general, but significant inter-individual heterogeneity exists. In this study, we examined the molecular profile of 15 MDS-relevant genes in 159 patients with LR-MDS using next-generation sequencing. In univariate COX regression, shorter overall survival (OS) was associated with mutation status of ASXL1 (P = .001), RUNX1 (P = .031), EZH2 (P = .049), TP53 (P = .016), SRSF2 (P = .046), JAK2 (P = .040), and IDH2 (P = .035). We also found significantly shorter OS in patients with an adjusted TET2 variant allele frequency (VAF) ≥18% versus those with either an adjusted TET2 VAF <18% or without TET2 mutations (median: 20.4 vs 47.8 months; P = .020; HR = 2.183, 95%CI: 1.129-4.224). After adjustment for IPSS, shorter OS was associated with mutation status of ASXL1 (P < .001; HR = 4.306, 95% CI: 2.144-8.650), TP53 (P = .004; HR = 4.863, 95% CI: 1.662-14.230) and JAK2 (P = .002; HR = 5.466, 95%CI: 1.848-16.169), as well as adjusted TET2 VAF ≥18% (P = .008; HR = 2.492, 95% CI: 1.273-4.876). Also, OS was increasingly shorter as the number of mutational factors increased (P < .001). A novel prognostic scoring system incorporating the presence/absence of the four independent mutational factors into the IPSS further stratified LR-MDS patients into three prognostically different groups (P < .001). The newly developed scoring system redefined 10.1% (16/159) of patients as a higher-risk group, who could not be predicted by the currently prognostic models. In conclusion, integration of the IPSS with mutation status/burden of certain MDS-relevant genes may improve the prognostication of patients with LR-MDS and could help identify those with worse-than-expected prognosis for more aggressive treatment.

Indexed as

Gene Regulatory NetworksMutationAdolescentAdultAgedAged, 80 and overFemaleGene FrequencyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMyelodysplastic SyndromesPrognosisSequence Analysis, DNASurvival Analysislower-risk myelodysplastic syndromesmutation burdenmutation statusprognosisvariant allele frequency

Identifiers

PMID31804030
PMCPMC7004535
OpenAlexW2992415557

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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.