Evidence map›Paper›PMID 33436855›Full record

ArticleScientific reports2021

Targeted sequencing to identify genetic alterations and prognostic markers in pediatric T-cell acute lymphoblastic leukemia.

Ya-Hsuan Chang, Chih-Hsiang Yu, Shiann-Tarng Jou, Chien-Yu Lin, Kai-Hsin Lin, Meng-Yao Lu, Kang-Hsi Wu, Hsiu-Hao Chang, Dong-Tsamn Lin, Shu-Wha Lin and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  4. LncRNA AC098613.1 promotes acute myeloid leukemia cell differentiation through CDC5L/ADAP1/NRD1 axis.Apoptosis : an international journal on programmed cell death · 2026
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  19. Frontiers in oncology · 2021
    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

12 authors at 4 institutions in 1 country.

Ya-Hsuan ChangInstitute of Statistical Science Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan.
Chih-Hsiang YuDepartments of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shiann-Tarng JouDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Chien-Yu LinInstitute of Statistical Science Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan.
Kai-Hsin LinDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Meng-Yao LuDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Kang-Hsi WuDepartment of Pediatrics, Chung Shan Medical University Hospital and School of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Hsiu-Hao ChangDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Dong-Tsamn LinDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Shu-Wha LinDepartments of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Hsuan-Yu ChenInstitute of Statistical Science Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan. hychen@stat.sinica.edu.tw.
Yung-Li YangDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan. yangyl92@ntu.edu.tw.
National Taiwan University Hospital · TWInstitute of Statistical Science, Academia Sinica · TWNational Taiwan University · TWChung Shan Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cell acute lymphoblastic leukemia (T-ALL) is caused by the accumulation of multiple genetic alterations. To determine the frequency of common genetic mutations and possible prognostic markers in childhood T-ALL, we performed targeted sequencing of 67 genes across 64 cases treated according to Taiwan Pediatric Oncology Group protocols between January 2002 and December 2015. Together, 302 variants were identified in 60 genes including 233 single nucleotide variants and 69 indels. Sixty-four samples had a median number of six genetic lesions each (range 1-17). Thirteen genes had mutation frequencies > 10%, and 5 were > 20%, with the highest being NOTCH1 (70.31%). Protocadherins FAT1 (32.81%) and FAT3 (17.19%), and the ubiquitin ligase component FBXW7 (28.13%) had higher mutation frequencies than previously reported. Other mutation frequencies (PHF6, DNM2, DNMT3A, CNOT3, and WT1) were within previously reported ranges. Three epigenetic-related genes (KMT2D, DNMT3A, and EZH2) were mutated in our cohort. JAK-STAT signaling pathway genes had mutation frequencies of 3-13% and were observed in 23 cases (35.94%). Changes to genes in the ErbB signaling pathway were detected in 20 cases (31.25%). Patients with NOTCH1/FBXW7 mutations and RAS/PTEN germline exhibited better 5-year overall survival rates.

Indexed as

MutationBiomarkers, TumorCadherinsChildChild, PreschoolCohort StudiesEpidermal Growth FactorEpigenesis, GeneticF-Box-WD Repeat-Containing Protein 7FemaleHigh-Throughput Nucleotide SequencingHumansInfantMalePrecursor T-Cell Lymphoblastic Leukemia-LymphomaPrognosisBiomarkers, TumorCadherinsEpidermal Growth FactorFAT1 protein, humanFAT3 protein, humanF-Box-WD Repeat-Containing Protein 7FBXW7 protein, humanNOTCH1 protein, humanReceptor, Notch1

Identifiers

PMID33436855
PMCPMC7804301
OpenAlexW3120279246

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.