Evidence map›Paper›PMID 28245838›Full record

ArticleJournal of hematology & oncology2017

Spectrum of somatic mutations detected by targeted next-generation sequencing and their prognostic significance in adult patients with acute lymphoblastic leukemia.

Juan Feng, Yan Li, Yujiao Jia, Qiuyun Fang, Xiaoyuan Gong, Xiaobao Dong, Kun Ru, Qinghua Li, Xingli Zhao, Kaiqi Liu and 9 more

Open access · goldAbstract readLetter
In one paragraph

Article in Journal of hematology & oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
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  10. Genomic and Clinical Analysis of Children with Acute Lymphoblastic Leukemia.Computational and mathematical methods in medicine · 2022
    Article
  11. [The role and research progress of NOTCH1 in T-cell acute lymphoblastic leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2021
    Article
  12. Next-Generation Sequencing in Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2019
    Review
  13. Article
  14. 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

19 authors at 2 institutions in 1 country.

Juan FengInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Yan LiInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Yujiao JiaInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Qiuyun FangInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Xiaoyuan GongInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Xiaobao DongInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Kun RuInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Qinghua LiInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Xingli ZhaoInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Kaiqi LiuInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Min WangState Key Laboratory of Experimental Hematology, Tianjin, 300020, People's Republic of China.
Zheng TianState Key Laboratory of Experimental Hematology, Tianjin, 300020, People's Republic of China.
Yannan JiaInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Ying WangInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Dong LinInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Hui WeiInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
Kejing TangState Key Laboratory of Experimental Hematology, Tianjin, 300020, People's Republic of China.
Yingchang MiInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China. miyingch@medmail.com.cn.
Jianxiang WangInstitute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China. wangjx@ihcams.ac.cn.
Institute of Hematology & Blood Diseases Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Target-specific next-generation sequencing technology was used to analyze 112 genes in adult patients with acute lymphoblastic leukemia (ALL). This sequencing mainly focused on the specific mutational hotspots. Among the 121 patients, 93 patients were B-ALL (76.9%), and 28 patients (23.1%) were T-ALL. Of the 121 patients, 110 (90.9%) harbored at least one mutation. The five most frequently mutated genes in T-ALL are NOTCH1, JAK3, FBXW7, FAT1, and NRAS. In B-ALL, FAT1, SF1, CRLF2, TET2, and PTPN1 have higher incidence of mutations. Gene mutations are different between Ph

Indexed as

High-Throughput Nucleotide SequencingAdultDNA Mutational AnalysisHumansMutationPrecursor B-Cell Lymphoblastic Leukemia-LymphomaPrecursor Cell Lymphoblastic Leukemia-LymphomaPrecursor T-Cell Lymphoblastic Leukemia-LymphomaPrognosisYoung AdultAcute lymphoblastic leukemiaNext-generation sequencingPrognostic significanceSomatic mutations

Identifiers

PMID28245838
PMCPMC5331692
OpenAlexW2594889430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.