Evidence map›Paper›PMID 36739388›Full record

ArticleBMC pediatrics2023

Spectrum and clinical features of gene mutations in Chinese pediatric acute lymphoblastic leukemia.

Diying Shen, Lixia Liu, Xiaojun Xu, Hua Song, Jingying Zhang, Weiqun Xu, Fenying Zhao, Juan Liang, Chan Liao, Yan Wang and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. DistinctInternational journal of molecular sciences · 2024
    Article
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

16 authors at 1 institution in 1 country.

Diying ShenPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Lixia LiuAcornmed Biotechnology Co., Ltd, Tianjin, China.
Xiaojun XuPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Hua SongPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Jingying ZhangPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Weiqun XuPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Fenying ZhaoPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Juan LiangPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Chan LiaoPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Yan WangPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Tian XiaPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Chengcheng WangAcornmed Biotechnology Co., Ltd, Tianjin, China.
Feng LouAcornmed Biotechnology Co., Ltd, Tianjin, China.
Shanbo CaoAcornmed Biotechnology Co., Ltd, Tianjin, China.
Jiayue QinAcornmed Biotechnology Co., Ltd, Tianjin, China.
Yongmin TangPediatric Hematology-Oncology Center, Zhejiang Provincial Center for Childhood Leukemia Diagnosis and Treatment, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China. y_m_tang@zju.edu.cn.
Children's Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 5-year survival rate of children with acute lymphoblastic leukemia (ALL) is 85-90%, with a 10-15% rate of treatment failure. Next-generation sequencing (NGS) identified recurrent mutated genes in ALL that might alter the diagnosis, classification, prognostic stratification, treatment, and response to ALL. Few studies on gene mutations in Chinese pediatric ALL have been identified. Thus, an in-depth understanding of the biological characteristics of these patients is essential. The present study aimed to characterize the spectrum and clinical features of recurrent driver gene mutations in a single-center cohort of Chinese pediatric ALL.

methodsWe enrolled 219 patients with pediatric ALL in our single center. Targeted sequencing based on NGS was used to detect gene mutations in patients. The correlation was analyzed between gene mutation and clinical features, including patient characteristics, cytogenetics, genetic subtypes, risk stratification and treatment outcomes using χ

resultsA total of 381 gene mutations were identified in 66 different genes in 152/219 patients. PIK3R1 mutation was more common in infants (P = 0.021). KRAS and FLT3 mutations were both more enriched in patients with hyperdiploidy (both P < 0.001). NRAS, PTPN11, FLT3, and KMT2D mutations were more common in patients who did not carry the fusion genes (all P < 0.050). PTEN mutation was significantly associated with high-risk ALL patients (P = 0.011), while NOTCH1 mutation was common in middle-risk ALL patients (P = 0.039). Patients with ETV6 or PHF6 mutations were less sensitive to steroid treatment (P = 0.033, P = 0.048, respectively).

conclusionThis study depicted the specific genomic landscape of Chinese pediatric ALL and revealed the relevance between mutational spectrum and clinical features of Chinese pediatric ALL, which highlights the need for molecular classification, risk stratification, and prognosis evaluation.

Indexed as

East Asian PeoplePrecursor Cell Lymphoblastic Leukemia-LymphomaChildGenomicsHumansInfantMutationPrognosisTranscription FactorsTranscription FactorsAcute lymphoblastic leukemiaClinical featuresCorrelationsGene mutationsNext-generation sequencing

Identifiers

PMID36739388
PMCPMC9898934
OpenAlexW4319231519

What OpenQuestion holds

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LicenceCC BY
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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.