Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis
Abstract Background Small nucleolar RNA host gene (SNHG) family were reported involved in various biological processes and may be used as a promising prognostic marker in esophageal cancer (EC). A meta-analysis was performed to investigate the relationship between SNHG expression and prognosis of EC...
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2025-02-01
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author | Ke Shi Li-De Huang Dan Li Wei-Min Luo Hua-Song Liu Dong-Xiao Ding Qiang Guo Yue-Feng Liu |
author_facet | Ke Shi Li-De Huang Dan Li Wei-Min Luo Hua-Song Liu Dong-Xiao Ding Qiang Guo Yue-Feng Liu |
author_sort | Ke Shi |
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description | Abstract Background Small nucleolar RNA host gene (SNHG) family were reported involved in various biological processes and may be used as a promising prognostic marker in esophageal cancer (EC). A meta-analysis was performed to investigate the relationship between SNHG expression and prognosis of EC in this study. Methods Relevant databases were browsed to obtain suitable publications. Hazard ratio (HR) with 95% confidence interval (CI) were extracted to explore the association between SNHG expression and EC prognosis. Odds ratio (OR) with 95%CI were extracted to assess the association between SNHG expression and other clinicopathological parameters. Sensitivity analysis and publication bias were performed to explore the reliability and robustness of the results. Bio-informatics has been explored in order to confirm our conclusions more comprehensively. Results 16 studies comprising 1229 patients were enrolled. The results showed that increasing SNHG expression indicated worse overall survival (HR: 1.392, 95%CI = 0.876–1.908). SNHG2, SNHG5, and SNHG12 were down-regulated, while other SNHGs were up-regulated in EC. In populations with low expression of SNHG2, SNHG5, and SNHG12, increasing SNHG expression predicted a favorable cancer prognosis (HR: 0.511, 95%CI = 0.322-0.700). Conversely, in populations with high expression of other SNHGs, SNHG expression indicated poor prognosis (OR: 2.340, 95%CI = 1.744–2.936). Elevated SNHG expression also implied advanced TNM stage (OR 1.578, 95%CI = 1.273–1.956) and lymph node metastasis (OR: 1.533, 95%CI = 1.205–1.950). Conclusion Increased expression of SNHG2, SNHG5, and SNHG12, and decreased expression of other SNHGs tended to have a favorable prognosis in patients with EC. These findings suggest that SNHG may serve as a prognostic marker and therapeutic target for EC. |
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institution | Kabale University |
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language | English |
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spelling | doaj-art-110c7d8279f2462984971e31e9e2841e2025-02-09T12:39:44ZengBMCBMC Gastroenterology1471-230X2025-02-0125111810.1186/s12876-025-03621-8Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysisKe Shi0Li-De Huang1Dan Li2Wei-Min Luo3Hua-Song Liu4Dong-Xiao Ding5Qiang Guo6Yue-Feng Liu7Department of Thoracic Surgery, Beilun District People’s Hospital of NingboDepartment of Pain management, People’s Hospital of Shiyan City, Hubei Medical UniversityDepartment of Oncology, Taihe Hospital, Hubei University of MedicineDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of MedicineDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of MedicineDepartment of Thoracic Surgery, Beilun District People’s Hospital of NingboDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of MedicineDepartment of Ophthalmology, Taihe Hospital, Hubei University of MedicineAbstract Background Small nucleolar RNA host gene (SNHG) family were reported involved in various biological processes and may be used as a promising prognostic marker in esophageal cancer (EC). A meta-analysis was performed to investigate the relationship between SNHG expression and prognosis of EC in this study. Methods Relevant databases were browsed to obtain suitable publications. Hazard ratio (HR) with 95% confidence interval (CI) were extracted to explore the association between SNHG expression and EC prognosis. Odds ratio (OR) with 95%CI were extracted to assess the association between SNHG expression and other clinicopathological parameters. Sensitivity analysis and publication bias were performed to explore the reliability and robustness of the results. Bio-informatics has been explored in order to confirm our conclusions more comprehensively. Results 16 studies comprising 1229 patients were enrolled. The results showed that increasing SNHG expression indicated worse overall survival (HR: 1.392, 95%CI = 0.876–1.908). SNHG2, SNHG5, and SNHG12 were down-regulated, while other SNHGs were up-regulated in EC. In populations with low expression of SNHG2, SNHG5, and SNHG12, increasing SNHG expression predicted a favorable cancer prognosis (HR: 0.511, 95%CI = 0.322-0.700). Conversely, in populations with high expression of other SNHGs, SNHG expression indicated poor prognosis (OR: 2.340, 95%CI = 1.744–2.936). Elevated SNHG expression also implied advanced TNM stage (OR 1.578, 95%CI = 1.273–1.956) and lymph node metastasis (OR: 1.533, 95%CI = 1.205–1.950). Conclusion Increased expression of SNHG2, SNHG5, and SNHG12, and decreased expression of other SNHGs tended to have a favorable prognosis in patients with EC. These findings suggest that SNHG may serve as a prognostic marker and therapeutic target for EC.https://doi.org/10.1186/s12876-025-03621-8SNHGEsophageal squamous cell carcinomaPrognosisMeta-analysisBioinformatics |
spellingShingle | Ke Shi Li-De Huang Dan Li Wei-Min Luo Hua-Song Liu Dong-Xiao Ding Qiang Guo Yue-Feng Liu Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis BMC Gastroenterology SNHG Esophageal squamous cell carcinoma Prognosis Meta-analysis Bioinformatics |
title | Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis |
title_full | Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis |
title_fullStr | Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis |
title_full_unstemmed | Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis |
title_short | Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis |
title_sort | aberrant snhg expression predicts poor prognosis in esophageal cancer using meta analysis and bioinformatics analysis |
topic | SNHG Esophageal squamous cell carcinoma Prognosis Meta-analysis Bioinformatics |
url | https://doi.org/10.1186/s12876-025-03621-8 |
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