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The Clinical Prognostic Value of lncRNA SBF2-AS1 in Cancer Patients: A Meta-Analysis
- Source :
- Technology in Cancer Research & Treatment, Vol 20 (2021)
- Publication Year :
- 2021
-
Abstract
- Background: The mortality and recurrence of patients with cancer is of high prevalence. SET-binding factor 2 (SBF2) antisense RNA1 (lncRNA-SBF2-AS1) is a promising long non-coding RNA. There is increasing evidence that SBF2-AS1 is abnormally expressed in various tumors and is associated with cancer prognosis. However, the identification of the effect of lncRNA SBF2-AS1 in tumors remains necessary. Materials and Methods: Up to November 2, 2020, electronic databases, including PubMed, Cochrane Library, EMBASE, Medline, and Web of Science, were searched. The results were evaluated by pooled odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs). Results: A total of 11 literatures on cancer patients were included for the present meta-analysis. The combined results revealed that high expression of SBF2-AS1 was significantly associated with unfavorable overall survival (OS) (HR = 1.48, 95% CI: 1.34-1.62, P < 0.00001) in a variety of cancers. In additional, the increase in SBF2-AS1 expression was also correlated with tumor size ((larger vs. smaller) OR = 2.34, 95% CI: 1.47-3.70, P = 0.0003), advanced TNM stage ((III/IV vs. I/II) OR = 2.78, 95% CI: 1.75-4.41, P < 0.0001), lymph node metastasis ((Positive vs. Negative) OR = 3.06, 95% CI: 1.93-4.86, P < 0.00001), and histological grade ((poorly vs. well/moderately) OR = 2.58, 95% CI: 1.47-4.52, P = 0.001) in patients with cancer. Furthermore, The Cancer Genome Atlas (TCGA) dataset valuated that SBF2-AS1 was upregulated in a variety of tumors, and predicted the worse prognosis. Conclusions: Our results of this meta-analysis demonstrate that high SBF2-AS1 expression may become a potential target for predicting the prognosis of human cancers.
- Subjects :
- Oncology
Cancer Research
medicine.medical_specialty
03 medical and health sciences
0302 clinical medicine
Internal medicine
Neoplasms
medicine
Overall survival
Biomarkers, Tumor
Humans
RC254-282
030304 developmental biology
0303 health sciences
High prevalence
business.industry
Cancer
RNA
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Prognosis
Long non-coding RNA
Gene Expression Regulation, Neoplastic
Survival Rate
030220 oncology & carcinogenesis
Meta-analysis
RNA, Long Noncoding
business
Value (mathematics)
Subjects
Details
- ISSN :
- 15330338
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Technology in cancer researchtreatment
- Accession number :
- edsair.doi.dedup.....e282301785385fa0c56868bd0f10591e