lncRNA-CCDC26, as a novel biomarker, predicts prognosis in acute myeloid leukemia

被引:26
|
作者
Chen, Cunte [1 ,2 ]
Wang, Peipei [3 ,4 ]
Mo, Wenjian [1 ,2 ]
Zhang, Yuping [1 ,2 ]
Zhou, Wei [1 ,2 ]
Deng, Tingfen [1 ,2 ]
Zhou, Ming [1 ,2 ]
Chen, Xiaowei [1 ,2 ]
Wang, Shunqing [1 ,2 ]
Wang, Caixia [1 ,2 ]
机构
[1] Guangzhou Med Univ, Guangzhou Peoples Hosp 1, Dept Hematol, Guangzhou 510180, Guangdong, Peoples R China
[2] South China Univ Technol, Guangzhou Peoples Hosp 1, Dept Hematol, Sch Med, 1 Panfu Rd, Guangzhou 510180, Guangdong, Peoples R China
[3] Guangzhou Med Univ, Guangzhou Peoples Hosp 1, Dept Oncol, Guangzhou 510180, Guangdong, Peoples R China
[4] South China Univ Technol, Guangzhou Peoples Hosp 1, Dept Oncol, Guangzhou 510180, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
biomarker; long non-coding RNA-CCDC26; acute myeloid leukemia; prognosis; weighted gene co-expression network analysis; LONG NONCODING RNAS; OLDER PATIENTS; CELL-GROWTH; AML; DIFFERENTIATION; SURVIVAL; TARGET; CCDC26; CANCER; RISK;
D O I
10.3892/ol.2019.10591
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The aim of the present study was to examine the expression and clinical significance of long non-coding RNA (lncRNA)-CCDC26 in patients with acute myeloid leukemia (AML), and to investigate the potential functions of CCDC26. The Gene Expression Omnibus database and reverse transcription-quantitative polymerase chain reaction analysis were used to detect the expression levels of CCDC26 in patients with AML and healthy volunteers. Clinical data for 93 patients with AML were collected to analyze the clinical significance of CCDC26. Weighted gene co-expression network analysis (WGCNA), a protein-protein interaction (PPI) network, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to examine the functions of CCDC26. The expression levels of CCDC26 in the initially diagnosed and relapsed patients with AML were significantly upregulated compared with the control group. The upregulated expression level of CCDC26 in patients with AML was significantly associated with age, anemia, risk stratification and remission. Furthermore, patients with a high CCDC26 expression level had a poorer overall survival (P=0.0105). In addition, the area under the curve (AUC)(1year) and AUC(2year) of CCDC26 for overall survival were 0.722 and 0.686, respectively. WGCNA, PPI network and KEGG pathway analysis revealed that CCDC26 was involved in the regulation of a number of biological processes. lncRNA-CCDC26 may serve as a novel biomarker for monitoring the progression and predicting the clinical outcome of AML.
引用
收藏
页码:2203 / 2211
页数:9
相关论文
共 50 条
  • [1] Overexpression of lncRNA PANDAR predicts adverse prognosis in acute myeloid leukemia
    Yang, Lan
    Zhou, Jing-Dong
    Zhang, Ting-Juan
    Ma, Ji-Chun
    Xiaou, Gao-Fei
    Chenu, Qin
    Deng, Zhao-Qun
    Lin, Jiang
    Qian, Jun
    Yao, Dong-Ming
    CANCER MANAGEMENT AND RESEARCH, 2018, 10 : 4999 - 5007
  • [2] A novel upregulated LncRNA-AC026150.8 promotes chemo-resistance and predicts poor prognosis in acute myeloid leukemia
    Zhang, Henan
    Zhao, Yue
    Liu, Xuan
    Liu, Yusi
    Wang, Xiaohui
    Fu, Yu
    Fu, Shuang
    Zhang, Jihong
    CANCER MEDICINE, 2021, 10 (23): : 8614 - 8629
  • [3] Identification of the Thyrotropin-Releasing Hormone (TRH) as a Novel Biomarker in the Prognosis for Acute Myeloid Leukemia
    Gao, Yan
    Zhou, Jia-Fan
    Mao, Jia-Ying
    Jiang, Lu
    Li, Xue-Ping
    BIOMOLECULES, 2022, 12 (10)
  • [4] A Novel 85-Gene Expression Signature Predicts Unfavorable Prognosis in Acute Myeloid Leukemia
    Lai, Yanli
    Sheng, Lixia
    Wang, Jiaping
    Zhou, Miao
    OuYang, Guifang
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2021, 20
  • [5] Identification of the 7-lncRNA Signature as a Prognostic Biomarker for Acute Myeloid Leukemia
    Liu, Chun-yu
    Guo, Hui-hui
    Li, Hai-xia
    Liang, Ying
    Tang, Cong
    Chen, Nan-nan
    DISEASE MARKERS, 2021, 2021
  • [6] A three-lncRNA signature for prognosis prediction of acute myeloid leukemia in patients
    Wang, Fangce
    Tian, Xiaoxue
    Zhou, Jie
    Wang, Guangming
    Yu, Wenlei
    Li, Zheng
    Fan, Zhuoyi
    Zhang, Wenjun
    Liang, Aibin
    MOLECULAR MEDICINE REPORTS, 2018, 18 (02) : 1473 - 1484
  • [7] A Novel Immune-Related Competing Endogenous RNA Network Predicts Prognosis of Acute Myeloid Leukemia
    Wang, Shujuan
    Yang, Lu
    Liu, Yajun
    Xu, Yan
    Zhang, Danfeng
    Jiang, Zhongxing
    Wang, Chong
    Liu, Yanfang
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [8] Upregulation of lncRNA CCAT2 predicts poor prognosis in patients with acute myeloid leukemia and is correlated with leukemic cell proliferation
    Li, Jia-Jia
    Zhu, Jun-Feng
    Zhang, Feng
    Zhang, Ping-Ping
    Zhang, Jing-Jing
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY, 2018, 11 (12): : 5658 - 5666
  • [9] Expression signature of ten small nuclear RNAs serves as novel biomarker for prognosis prediction of acute myeloid leukemia
    Zhang, Zhongming
    Huang, Rui
    Lai, Yongrong
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [10] Investigation of a novel biomarker, neuropilin-1, and its application for poor prognosis in acute myeloid leukemia patients
    Zhao, Jianqiang
    Gu, Liufang
    Li, Chengliang
    Ma, Weiguo
    Ni, Zengfeng
    TUMOR BIOLOGY, 2014, 35 (07) : 6919 - 6924