Association of FOXO3 Expression with Tumor Pathogenesis, Prognosis and Clinicopathological Features in Hepatocellular Carcinoma: A Systematic Review with Meta-Analysis.
Flavia FondevilaPaula Fernández-PalancaCarolina Méndez-BlancoTania Payo-SerafínElisa LozanoJose J G MarinJavier Gonzalez-GallegoJosé Luis MaurizPublished in: Cancers (2021)
Forkhead box O3 (FOXO3), an essential transcription factor related to liver disease, has been linked to cancer progression. The most frequent primary liver tumor, hepatocellular carcinoma (HCC), has an elevated mortality rate and patient outcomes remain very poor. Here, we examined the diagnostic, prognostic and clinicopathological significance of FOXO3 expression in HCC. We systematically searched Cochrane, Embase, PubMed, Scopus and Web of Science. Articles analyzing FOXO3 levels in HCC patient samples and its relationship with tumor development, survival or clinicopathological factors were selected. Hazard ratios, odds ratios and 95% confidence intervals were extracted, estimated by Parmar method or calculated and pooled across studies. Heterogeneity was evaluated by chi-square-based Q and I2 tests, while publication bias by funnel plots and Egger's test. Subgroup analysis was performed when heterogeneity was evident. The study protocol was registered in PROSPERO (CRD42021237321), and data were meta-analyzed employing STATA 16. Five studies involving 1059 HCC cases were finally included in this meta-analysis, finding that high FOXO3 levels significantly correlate with HCC development and shorter overall survival. Moreover, subgroup analysis revealed a significant association between positive FOXO3 expression and the risk of invasion. Thus, FOXO3 could function as a novel biomarker with diagnostic and prognostic value in HCC.
Keyphrases
- transcription factor
- pi k akt
- poor prognosis
- signaling pathway
- dna binding
- systematic review
- study protocol
- single cell
- randomized controlled trial
- genome wide identification
- binding protein
- clinical trial
- risk factors
- public health
- case report
- electronic health record
- meta analyses
- phase iii
- artificial intelligence
- papillary thyroid
- big data
- cardiovascular events
- squamous cell