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Meta-Analysis
. 2024 Sep 5;24(1):1110.
doi: 10.1186/s12885-024-12590-2.

High expression of small nucleolar host gene RNA may predict poor prognosis of Hepatocellular carcinoma, based on systematic reviews and meta-analyses

Affiliations
Meta-Analysis

High expression of small nucleolar host gene RNA may predict poor prognosis of Hepatocellular carcinoma, based on systematic reviews and meta-analyses

Sheng-Qi Du et al. BMC Cancer. .

Abstract

Background: The prognosis of patients with hepatocellular cancer is substantially correlated with the abnormal expression of growing long non-coding RNA small nucleolar host gene RNA (SNHG) families in liver cancer tissues. This study aimed to examine the relationship between SNHG expression and liver cancer prognosis.

Methods: After searching six internet databases, pertinent manuscripts were found based on inclusion and exclusion criteria. To determine whether SNHG expression levels affect liver cancer prognosis, raw data were collected and hazard ratios (HRs) and odds ratios (ORs) were calculated. The results were examined for potential publication bias using the sensitivity analysis and Beeg's test.

Results: Most SNHG family members were up-regulated in liver cancer tissues. High SNHG expression predicts poor liver cancer outcomes of, including overall survival (OS) (HR: 1.697, 95% confidence interval [CI]: 1.373-2.021), especially SNHG5 (the HR of OS is 4.74, 95%CI range from 1.35 to 6.64), progression-free survival (HR: 1.85, 95% CI: 1.25-2.73), tumor, node, metastasis (TNM) stage (OR: 1.696, 95% CI: 1.436-2.005), lymph node metastasis (OR: 2.383, 95% CI: 1.098-5.173), and tumor size (OR: 1363, 95% CI: 1.165-1.595). The OS results were found to be reliable and robust, as indicated by the sensitivity analysis. Additionally, Beeg's test demonstrated the absence of any potential publication bias for each result.

Conclusion: In liver cancer tissues, most SNHGs are highly expressed, which may signal poor prognosis. SNHG has the potential to be an intriguing predictive marker and a prospective therapeutic target for liver cancer.

Keywords: Hepatocellular carcinoma; Meta-analysis; Prognosis; SNHG; lncRNA.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The process for including appropriate articles
Fig. 2
Fig. 2
Forest plot showed the correlation between SNHG expression and overall survival (OS) of Hepatocellular carcinoma (HCC). Note HR: hazard ratio CI: confidence interval
Fig. 3
Fig. 3
Forest plot showed the correlation between SNHG expression and progress-free survival (PFS), disease-free survival (DFS) and Recurrence free survival (RFS) of Hepatocellular carcinoma (HCC). Note (A) PFS; (B) DFS; (C) RFS. HR: hazard ratio CI: confidence interval
Fig. 4
Fig. 4
Forest plot showed the correlation between SNHG expression and TNM stage of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 5
Fig. 5
Forest plot showed the correlation between SNHG expression and tumor size of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 6
Fig. 6
Forest plot showed the correlation between SNHG expression and LNM of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 7
Fig. 7
Forest plot showed the correlation between SNHG expression and histological grade of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 8
Fig. 8
Forest plot showed the correlation between SNHG expression and depth of invasion of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 9
Fig. 9
Forest plot showed the correlation between SNHG expression and DM of Hepatocellular carcinoma (HCC). Note OR: odds ratio CI: confidence interval
Fig. 10
Fig. 10
Sensitivity analysis for SNHG expression with overall survival (OS) of Hepatocellular carcinoma (HCC). Note HR: hazard ratio, CI: confidence interval
Fig. 11
Fig. 11
Funnel plot about the relationship between SNHG expression and survival outcome of Hepatocellular carcinoma (HCC). Note (A) OS; (B) TNM stage; (C) Tumor size; (D) LNM; (E) Histological grade; (F) Depth of invasion. (G) DM; (H) Age; (I) Gender

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