Evidence map›Paper›PMID 32062360›Full record

ArticleEBioMedicine2020

Genome-wide identification of FHL1 as a powerful prognostic candidate and potential therapeutic target in acute myeloid leukaemia.

Yue Fu, Man Xu, Zelong Cui, Zongcheng Yang, Zhiyong Zhang, Xiaolin Yin, Xiangnan Huang, Minran Zhou, Xiaoming Wang, Chunyan Chen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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  10. [Prognostic implications and functional enrichment analysis of LTB4R in patients with acute myeloid leukemia].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Yue FuDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China; School of Medicine, Shandong University, Jinan, Shandong, China; Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Man XuDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Zelong CuiDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Zongcheng YangSchool of Stomatology, Shandong University, Jinan, Shandong, China.
Zhiyong ZhangSchool of Computer Science and Technology, Shandong University, Qingdao, Shandong, China; Fintech Institute of the People's Bank of China, Shenzhen, Guangdong, China.
Xiaolin YinDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xiangnan HuangDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Minran ZhouDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xiaoming WangDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Chunyan ChenDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China. Electronic address: chency@sdu.edu.cn.
Qilu Hospital of Shandong University · CNShandong University · CNShandong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myeloid leukaemia (AML) is a malignant haematological tumour with high heterogeneity and mortality. A reliable prognostic assessment is critical for treatment strategies. However, the current prognostic evaluation system of AML is insufficient.

methodsGenome-wide univariate Cox regression analysis was performed on three independent AML datasets to screen for the prognostic-related genes. Kaplan-Meier survival analysis was employed to verify the efficacy of FHL1 in evaluating overall survival in 1298 de novo AML patients, 648 non-acute promyelocytic leukaemia AML patients and 407 cytogenetically normal AML patients; the data for some of these patients were also used for EFS and RFS validation. Multivariate Cox regression was performed to validate FHL1 as an independent prognostic indicator. WGCNA, GSEA, and gene correlation analysis were applied to explore the mechanism of FHL1 in AML. The synergistic cytocidal effect of FHL1 knockdown was verified in in vitro experiments.

findingsComprehensive genome-wide analyses and large-sample validation showed that FHL1 is a powerful prognostic candidate for overall survival, event-free survival, and relapse-free survival in AML and is independent of prognosis-related clinical factors and genetic abnormalities. The molecular mechanism may occur through regulation of FHL1 in leukaemia stem cells, tumour-associated signalling pathways, and transmembrane transport of chemotherapeutic drugs. FHL1-targeted intervention enhances the sensitivity of AML cells to cytarabine.

interpretationFHL1 may serve as an evaluation factor for clinical strategy selection, and its targeted intervention may be beneficial for chemotherapy in AML patients.

Indexed as

Biomarkers, TumorGenome-Wide Association StudyAdultAgedAged, 80 and overComputational BiologyFemaleGene Expression ProfilingGenomicsHumansIntracellular Signaling Peptides and ProteinsKaplan-Meier EstimateLeukemia, Myeloid, AcuteLIM Domain ProteinsMaleMiddle AgedBiomarkers, TumorFHL1 protein, humanIntracellular Signaling Peptides and ProteinsLIM Domain ProteinsMuscle ProteinsAcute myeloid leukaemiaCytarabineFHL1PrognosisWGCNA

Identifiers

PMID32062360
PMCPMC7021551
OpenAlexW3005687711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.