Evidence map›Paper›PMID 31714962›Full record

ArticleBlood advances2019

Overexpression of WT1 and PRAME predicts poor outcomes of patients with myelodysplastic syndromes with thrombocytopenia.

Qiu-Sha Huang, Jing-Zhi Wang, Ya-Zhen Qin, Qiao-Zhu Zeng, Qian Jiang, Hao Jiang, Jin Lu, Hui-Xin Liu, Yi Liu, Jing-Bo Wang and 10 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Molecular Targeted Therapy and Immunotherapy for Myelodysplastic Syndrome.International journal of molecular sciences · 2021
    Review
  5. Review
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

20 authors at 5 institutions in 1 country.

Qiu-Sha HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Jing-Zhi WangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Ya-Zhen QinPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Qiao-Zhu ZengPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Qian JiangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Hao JiangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Jin LuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Hui-Xin LiuDepartment of Clinical Epidemiology, Peking University People's Hospital, Beijing, China.
Yi LiuThe Sixth Medical Center of People's Liberation Army of China General Hospital, Beijing, China.
Jing-Bo WangBeijing Aerospace General Hospital, Beijing, China.
Li SuXuanwu Hospital Capital Medical University, Beijing, China.
Hong-Yu ZhangPeking University Shenzhen Hospital, Shenzhen, China.
Zhen-Ling LiChina-Japan Friendship Hospital, Beijing, China.
Su-Jun GaoDepartment of Immunology & National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bo HuangDepartment of Immunology & National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu-Ying LiuDepartment of Immunology & National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan-Rong LiuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Lan-Ping XuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Jun HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Hui ZhangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNChina-Japan Friendship Hospital · CNPeking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombocytopenia is associated with life-threatening bleeding and is common in myelodysplastic syndromes (MDS). Robust molecular prognostic biomarkers need to be developed to improve clinical decision making for patients with MDS with thrombocytopenia. Wilms tumor 1 (WT1) and preferentially expressed antigen in melanoma (PRAME) are promising immunogenic antigen candidates for immunotherapy, and their clinical effects on patients with MDS with thrombocytopenia are still not well understood. We performed a multicenter observational study of adult patients with MDS with thrombocytopenia from 7 different tertiary medical centers in China. We examined bone marrow samples collected at diagnosis for WT1 and PRAME transcript levels and then analyzed their prognostic effect for patients with MDS with thrombocytopenia. In total, we enrolled 1110 patients diagnosed with MDS with thrombocytopenia. Overexpression of WT1 and PRAME was associated with elevated blast percentage, worse cytogenetics, and higher Revised International Prognostic Scoring System (IPSS-R) risk. Further, both WT1 and PRAME overexpression were independent poor prognostic factors for acute myeloid leukemia evolution, overall survival, and progression-free survival. Together, the 2 genes overexpression identified a population of patients with MDS with substantially worse survival. On the basis of WT1 and PRAME transcript levels, patients with MDS with IPSS-R low risk were classified into 2 significantly divergent prognostic risk groups: a low-favorable group and a low-adverse group. The low-adverse group had survival similar to that of patients in the intermediate-risk group. Our study demonstrates that the evaluation of WT1/PRAME transcript analysis may improve the prognostication precision and better risk-stratify the patients.

Indexed as

Gene ExpressionAdultAgedAlgorithmsAntigens, NeoplasmBiomarkersCell Transformation, NeoplasticCombined Modality TherapyDisease ManagementFemaleHumansMaleMiddle AgedMyelodysplastic SyndromesPrognosisRetrospective StudiesAntigens, NeoplasmBiomarkersPRAME protein, humanWT1 protein, humanWT1 Proteins

Identifiers

PMID31714962
PMCPMC6855121
OpenAlexW2985410819

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.