Evidence map›Paper›PMID 31209266›Full record

Observational studyCancer gene therapy2020

Prognostic value of the FUT family in acute myeloid leukemia.

Yifeng Dai, Zhiheng Cheng, Yifan Pang, Yang Jiao, Tingting Qian, Liang Quan, Longzhen Cui, Yan Liu, Chaozeng Si, Jinghong Chen and 6 more

Open access · bronzeAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Cancer gene therapy, 2020. 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
1.8field-weighted citation impact, top 14% 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, 26 citations in OpenAlex.

  1. Article
  2. Article
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  6. Article
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  8. The biology of E-selectin ligands in leukemogenesis.Advances in cancer research · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Prognostic role of Wnt and Fzd gene families in acute myeloid leukaemia.Journal of cellular and molecular medicine · 2021
    Article
  16. Article
  17. 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 9 institutions in 3 countries.

Yifeng Dai *Department of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.ORCID http://orcid.org/0000-0003-3507-7414
Zhiheng Cheng *Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID http://orcid.org/0000-0001-8837-9542
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
Tingting QianDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.
Liang QuanDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.ORCID http://orcid.org/0000-0002-0478-4952
Longzhen CuiTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Yan LiuTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Chaozeng SiDepartment of Operations and Information Management, China-Japan Friendship Hospital, 100029, Beijing, China.
Jinghong ChenTranslational Medicine Center, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.
Xu YeDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.
Jingqi ChenTranslational Medicine Center, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.
Jinlong ShiDepartment of Biomedical Engineering, Chinese PLA General Hospital, 100853, Beijing, China.
Depei Wu *Department of Hematology, The First Affiliated Hospital of Soochow University, 215006, Suzhou, China.
Xinyou Zhang *Department of Hematology, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, 518020, Shenzhen, China.
Lin Fu *Department of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China. fulin022@126.com.ORCID http://orcid.org/0000-0002-2416-7572
Second Affiliated Hospital of Guangzhou Medical University · CNHenan University Huaihe Hospital and Huaihe Clinical Institute · CNUniversity Medical Center Groningen · NLBeaumont Hospital, Royal Oak · USChina-Japan Friendship Hospital · CNChinese PLA General Hospital · CNJinan University · CNSoochow University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic abnormalities are more frequently viewed as prognostic markers in acute myeloid leukemia (AML) in recent years. Fucosylation, catalyzed by fucosyltransferases (FUTs), is a post-translational modification that widely exists in cancer cells. However, the expression and clinical implication of the FUT family (FUT1-11) in AML has not been investigated. From the Cancer Genome Atlas database, a total of 155 AML patients with complete clinical characteristics and FUT1-11 expression data were included in our study. In patients who received chemotherapy alone showed that high expression levels of FUT3, FUT6, and FUT7 had adverse effects on event-free survival (EFS) and overall survival (OS) (all P < 0.05), whereas high FUT4 expression had favorable effects on EFS and OS (all P < 0.01). However, in the allogeneic hematopoietic stem cell transplantation (allo-HSCT) group, we only found a significant difference in EFS between the high and low FUT3 expression subgroups (P = 0.047), while other FUT members had no effect on survival. Multivariate analysis confirmed that high FUT4 expression was an independent favorable prognostic factor for both EFS (HR = 0.423, P = 0.001) and OS (HR = 0.398, P < 0.001), whereas high FUT6 expression was an independent risk factor for both EFS (HR = 1.871, P = 0.017) and OS (HR = 1.729, P = 0.028) in patients who received chemotherapy alone. Moreover, we found that patients with low FUT4 and high FUT6 expressions had the shortest EFS and OS (P < 0.05). Our study suggests that high expressions of FUT3/6/7 predict poor prognosis, high FUT4 expression indicates good prognosis in AML; FUT6 and FUT4 have the best prognosticating profile among them, but their effects could be neutralized by allo-HSCT.

Indexed as

Gene Expression Regulation, LeukemicHematopoietic Stem Cell TransplantationAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBone MarrowDisease-Free SurvivalFemaleFollow-Up StudiesFucosyltransferasesHumansKaplan-Meier EstimateLeukemia, Myeloid, AcuteMaleMiddle AgedFucosyltransferases

Identifiers

PMID31209266
OpenAlexW2950938622

What OpenQuestion holds

Textmetadata
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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.