河北医科大学学报 ›› 2023, Vol. 44 ›› Issue (12): 1413-1419.doi: 10.3969/j.issn.1007-3205.2023.12.008

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lncRNA FER1L4与恶性肿瘤患者生存不佳的Meta分析与生物信息学分析

  

  1. 1.佳木斯大学附属第一医院骨二科,黑龙江 佳木斯 154000;2.佳木斯大学基础医学院,黑龙江 佳木斯 154000

  • 出版日期:2024-01-02 发布日期:2024-01-02
  • 作者简介:张帅(1996-),男,山东泰安人,佳木斯大学附属第一医院医师,医学硕士,从事骨肉瘤基础与临床研究。
  • 基金资助:
    黑龙江省卫生计生委科研课题(2018300)

Meta-analysis and bioinformatics analysis of lncRNA FER1L4 and poor survival of patients with malignant tumors

  1. 1.The Second Department of Orthopedics, the First Affiliated Hospital of Jiamusi University, 
    Heilongjiang Province, Jiamusi 154000, China; 2.College of Basic Medicine, 
    Jiamusi University, Heilongjiang Province, Jiamusi 154000, China

  • Online:2024-01-02 Published:2024-01-02

摘要: 目的 通过Meta分析和生物信息学分析验证长链非编码RNA(long non-coding RNA,lncRNA)fer1样家族成员4(fer-1 like family member 4,FER1L4)与多种恶性肿瘤患者总生存率(overall survival,OS)的关系。
方法 检索Pubmed、Web of Science、Cochrane Library、Elsevier、ScienceDirect、中国国家知识基础设施、万方、维普期刊以及超星期刊等中英文文献数据库自建库至2022年5月发表的关于FER1L4与恶性肿瘤患者生存不佳的相关研究。按照纳入标准和排除标准进行文献筛选,采用纽卡斯尔-渥太华量表(the Newcastle-Ottawa scale,NOS)对所纳入研究进行质量评价,使用Reviewer Manager 5软件进行Meta分析。通过基因表达谱交互分析数据库(gene expression profiling interactive analysis,GEPIA)检索FER1L4在其他多种肿瘤患者的表达以及与患者生存率之间的关系。
结果 共检索出519篇研究,最终纳入4项研究,包括437例骨肉瘤(osteosarcoma,OSA)、肾透明细胞癌(kidney clear cell carcinoma,KIRC)、 子宫内膜癌(uterine corpus endometrial cancer,UCEC)、结肠癌(colon adenocarcinoma,COAD)患者。FER1L4异常表达可导致OSA、KIRC、UCEC、COAD患者OS降低[HR=1.54 95%CI(1.06,2.23),P=0.02]。FER1L4在膀胱尿路上皮癌(bladder urothelial carcinoma,BLCA)、胆管癌(cholangiocarcinoma,CHOL)、COAD、KIRC、肾乳头状细胞癌(kidney renal papillary cell carcinoma,KIRP)、肺腺癌(lung adenocarcinoma,LUAD)、肺鳞癌(lung squamous cell carcinoma,LUSC)、直肠腺癌(rectum adenocarcinoma,READ)、UCEC等9种肿瘤中表达量升高。FER1L4高表达的KIRC、间皮瘤(mesothelioma,MESO)、多形成性胶质细胞瘤(glioblastoma multiforme,GBM)、肾上腺皮质癌(adrenocortical carcinoma,ACC)、KIRP、脑低级别胶质瘤(brain lower grade glioma,LGG)患者的生存率较低。
结论 FER1L4不同表达含量对不同肿瘤患者生存率具有不同影响,需要对具体肿瘤类型进行具体分析。


关键词: 肿瘤, lncRNA FER1L4, 生存不佳, Meta分析

Abstract: Objective To verify the relationship between long chain non-coding RNA (lncRNA) fer1 like family member 4 (FER1L4) and the overall survival (OS) of patients with multiple malignant tumors using Meta-analysis and bioinformatics analysis. 
Methods The related literatures, which were related to relationship between FER1L4 and poor survival of malignant tumor,was retrieved from English and Chinese database including Pubmed,Web of Science, Cochrane Library, Elsevier, ScienceDirect, Chinese national knowledge infrastructure, Wanfang, Vip journal and Chaoxing journal from database inception to May, 2022. Literature screening was carried out according to the inclusion criteria and exclusion criteria, the quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS), and meta-analysis was carried out by Reviewer Manager 5 software. The gene expression profiling interactive analysis (GEPIA) database was used to search the expression of FER1L4 in patients with various tumors and its relationship with patient survival. 
Results In total, 519 studies were retrieved and 4 studies were included, including 437 patients with osteosarcoma (OSA), kidney clear cell carcinoma (KIRC),uterine corpus endometrial carcinoma (UCEC) and colon adenocarcinoma (COAD). The abnormal expression of FER1L4 could lead to the decrease of OS in patients with OSA, KIRC, UCEC and COAD [HR=1.54, 95%CI (1.06,2.23), P=0.02]. FER1L4 was overexpressed in 9 tumors, including bladder urothelial carcinoma (BLCA), cholangiocarcinoma (CHOL), COAD, KIRC, kidney renal papillary cell carcinoma (KIRP), lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), and rectum adenocarcinoma (READ). The survival rate of patients with KIRC, mesothelioma (MESO), glioblastoma multiforme (GBM), adrenocortical carcinoma (ACC),KIRP and brain lower grade glioma (LGG) with high expression of FER1L4 was lower. 
Conclusion Different expression levels of FER1L4 have different effects on the survival rate of patients with different tumors, and specific analysis of specific tumor types is required. 


Key words: neoplasms, lncRNA FER1L4, poor survival, Meta-analysis