Expression profile analysis of long non-coding RNA in acute myeloid leukemia by microarray and bioinformatics

  • Yuandong Feng
  • , Ying Shen
  • , Hongli Chen
  • , Xiaman Wang
  • , Ru Zhang
  • , Yue Peng
  • , Xiaoru Lei
  • , Tian Liu
  • , Jing Liu
  • , Liufang Gu
  • , Fangxia Wang
  • , Yun Yang
  • , Ju Bai
  • , Jianli Wang
  • , Wanhong Zhao
  • , Aili He

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nt that are involved in tumorigenesis and play a key role in cancer progression. To determine whether lncRNAs are involved in acute myeloid leukemia (AML), we analyzed the expression profile of lncRNAs and mRNAs in AML. Five pairs of AML patients and iron deficiency anemia (IDA) controls were screened by microarray. Through coexpression analysis, differently expressed transcripts were divided into modules, and lncRNAs were functionally annotated. We further analyzed the clinical significance of crucial lncRNAs from modules in public data. Finally, the expression of three lncRNAs, RP11-222K16.2, AC092580.4, and RP11-305O.6, were validated in newly diagnosed AML, AML relapse, and IDA patient groups by quantitative RT-PCR, which may be associated with AML patients’ overall survival. Further analysis showed that RP11-222K16.2 might affect the differentiation of natural killer cells, and promote the immunized evasion of AML by regulating Eomesodermin expression. Analysis of this study revealed that dysregulated lncRNAs and mRNAs in AML vs IDA controls could affect the immune system and hematopoietic cell differentiation. The biological functions of those lncRNAs need to be further validated.

Original languageEnglish
Pages (from-to)340-353
Number of pages14
JournalCancer Science
Volume109
Issue number2
DOIs
StatePublished - Feb 2018
Externally publishedYes

Keywords

  • acute myeloid leukemia
  • bioinformatics
  • long non-coding RNA
  • microarray
  • transcriptome network

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