Evidence map›Paper›PMID 32850463›Full record

ArticleFrontiers in oncology2020

A Novel Immune-Related Competing Endogenous RNA Network Predicts Prognosis of Acute Myeloid Leukemia.

Shujuan Wang, Lu Yang, Yajun Liu, Yan Xu, Danfeng Zhang, Zhongxing Jiang, Chong Wang, Yanfang Liu

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Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shujuan WangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lu YangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yajun LiuDepartment of Orthopaedics, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Yan XuDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Danfeng ZhangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhongxing JiangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chong WangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanfang LiuDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a genetically, biologically and clinically heterogeneous hematopoietic malignancy that is highly dependent on the bone marrow (BM) microenvironment. Infiltrated immune cells and stromal cells are an important part of the BM microenvironment and significantly affect the progression of AML. Recently, the competing endogenous RNA hypothesis has gained great interests in the study of molecular and biological mechanisms of tumor occurrence and progression. However, research on how competing endogenous RNA relates to leukemia tumor microenvironment remains uninvestigated.

methodsIn this study, mRNA, miRNA and lncRNA data and clinical information of the AML cohort were obtained from The Cancer Genome Atlas (TCGA) database, and the immune and stromal scores were calculated using the ESTIMATE algorithm.

resultsWe found that immune scores were significantly correlated with cytogenetic risk and overall survival, and also identified microenvironment-related mRNAs, miRNAs, and lncRNAs based on the immune and stromal scores. Differentially expressed mRNAs and lncRNAs were applied to weighted correlation network analysis (WGCNA) to identify the modules most relevant to the immune microenvironment of AML. Using miRNA database to predict miRNA-targeted genes, we established the immune-related competing endogenous RNA network consisting of 33 lncRNAs, 21 miRNAs and 135 mRNAs. Prognostic analysis was performed on the genes in the immune-related competing endogenous RNA network to screen out 15 lncRNAs, 2 miRNAs and 31 mRNAs with prognostic values.

conclusionIn summary, we identified a novel immune-related mRNA-miRNA-lncRNA competing endogenous RNA network associated with the prognosis of AML, which may contribute to better understanding of the development and progression of AML and to serve as novel therapeutic targets.

Indexed as

acute myeloid leukemiacompeting endogenous RNA networkimmune microenvironmentprognosis.weighted gene coexpression network analysis

Identifiers

PMID32850463
PMCPMC7432272

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