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