Evidence map›Paper›PMID 30348947›Full record

ArticleCancer gene therapy2019

Prognostic role of DOK family adapters in acute myeloid leukemia.

Lin Zhang, Ran Li, Kai Hu, Yifeng Dai, Yifan Pang, Yang Jiao, Yan Liu, Longzhen Cui, Jinlong Shi, Zhiheng Cheng and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Prognostic role of Wnt and Fzd gene families in acute myeloid leukaemia.Journal of cellular and molecular medicine · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Up-regulation of DDIT4 predicts poor prognosis in acute myeloid leukaemia.Journal of cellular and molecular medicine · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Prognostic value of the PDLIM family in acute myeloid leukemia.American journal of translational research · 2019
    Article
  18. HighCancer biology & therapy · 2019
    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

11 authors at 7 institutions in 3 countries.

Lin Zhang *Department of Human Resources, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Ran Li *Department of Surgery, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Kai Hu *Department of Hematology and Lymphoma Research Center, Peking University, Third Hospital, 100191, Beijing, China.
Yifeng Dai *Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 515041, Shantou, China.
Yifan PangDepartment of Medicine, William Beaumont Hospital, Royal Oak, MI, 48073, USA.
Yang JiaoLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, 310058, Hangzhou, China.ORCID http://orcid.org/0000-0002-1077-6422
Yan LiuTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Longzhen CuiTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Jinlong Shi *Translational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Zhiheng Cheng *Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 515041, Shantou, China. chengzh217@126.com.
Lin Fu *Department of Hematology and Lymphoma Research Center, Peking University, Third Hospital, 100191, Beijing, China. fulin022@126.com.ORCID http://orcid.org/0000-0002-2416-7572
Henan University Huaihe Hospital and Huaihe Clinical Institute · CNPeking University · CNBeaumont Hospital, Royal Oak · USChinese PLA General Hospital · CNShantou University · CNUniversity Medical Center Groningen · NLZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a genetically and clinically heterogeneous disease. Gene mutational and expressional profile can aid the identification of different prognostic subgroups. Downstream of tyrosine kinase (DOK) proteins are a multigenic family of adaptors; some of them are key negative regulators of immune cell signaling. However, the expression and clinical implication of DOK family in AML has rarely been investigated. A total of 155 AML patients with DOK family (DOK1-7) expression data from The Cancer Genome Atlas database were enrolled in the study. In patients who only received chemotherapy, those with high expressions of DOK4 or DOK5 had significantly shorter EFS and OS than patients with low expressions (all P < 0.001), whereas high DOK7 expressers had longer EFS and OS than the low expressers (all P < 0.05). In patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), however, all DOK members had no impact on EFS and OS. Multivariate analysis confirmed that high DOK5 expression was an independent risk factor for EFS and OS in untransplanted patients (all P < 0.05). Our study suggests that in AML, high expressions of DOK4 and DOK5 are adverse prognostic factors, high DOK7 expression is a good prognostic factor, but their effects can be overcome by allo-HSCT.

Indexed as

Biomarkers, TumorMultigene FamilyAdaptor Proteins, Signal TransducingAdultAgedAntineoplastic Combined Chemotherapy ProtocolsDatabases, GeneticFemaleGene Expression Regulation, LeukemicHumansKaplan-Meier EstimateLeukemia, Myeloid, AcuteMaleMiddle AgedMutationPrognosisAdaptor Proteins, Signal TransducingBiomarkers, Tumor

Identifiers

PMID30348947
OpenAlexW2896982311

What OpenQuestion holds

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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.