Cargando…
Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis
BACKGROUND: New evidence from clinical and fundamental researches suggests that SNHG7 is involved in the occurrence and development of carcinomas. And the increased levels of SNHG7 are associated with poor prognosis in various kinds of tumors. However, the small sample size was the limitation for th...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722206/ https://www.ncbi.nlm.nih.gov/pubmed/34979987 http://dx.doi.org/10.1186/s12885-021-09068-w |
_version_ | 1784625485385302016 |
---|---|
author | Zhang, Yunyuan Tian, Qingwu Huang, Shifeng Wang, Qing Wu, Hongmei Dong, Qian Chen, Xian |
author_facet | Zhang, Yunyuan Tian, Qingwu Huang, Shifeng Wang, Qing Wu, Hongmei Dong, Qian Chen, Xian |
author_sort | Zhang, Yunyuan |
collection | PubMed |
description | BACKGROUND: New evidence from clinical and fundamental researches suggests that SNHG7 is involved in the occurrence and development of carcinomas. And the increased levels of SNHG7 are associated with poor prognosis in various kinds of tumors. However, the small sample size was the limitation for the prognostic value of SNHG7 in clinical application. The aim of the present meta-analysis was to conduct a qualitative analysis to explore the prognostic value of SNHG7 in various cancers. METHODS: Articles related to the SNHG7 as a prognostic biomarker for cancer patients, were comprehensive searched in several electronic databases. The enrolled articles were qualified via the preferred reporting items for systematic reviews and meta-analysis of observational studies in epidemiology checklists. Additionally, an online database based on The Cancer Genome Atlas (TCGA) was further used to validate our results. RESULTS: We analyzed 2418 cancer patients that met the specified criteria. The present research indicated that an elevated SNHG7 expression level was significantly associated with unfavorable overall survival (OS) (HR = 2.45, 95% CI: 2.12–2.85, p <0.001). Subgroup analysis showed that high expression levels of SNHG7 were also significantly associated with unfavorable OS in digestive system cancer (HR = 2.31, 95% CI: 1.90–2.80, p <0.001) and non-digestive system cancer (HR = 2.67, 95% CI: 2.12–3.37, p <0.001). Additionally, increased SNHG7 expression was found to be associated with tumor stage and progression (III/IV vs. I/II: HR = 1.76, 95% CI: 1.57–1.98, p <0.001). Furthermore, elevated SNHG7 expression significantly predicted lymph node metastasis (LNM) (HR = 1.98, 95% CI: 1.74–2.26, p <0.001) and distant metastasis (DM) (HR = 2.49, 95% CI: 1.88–3.30, p <0.001) respectively. No significant heterogeneity was observed among these studies. SNHG7 was significantly upregulated in four cancers and the elevated expression of SNHG7 predicted shorter OS in four cancers, worse DFS in five malignancies and worse PFI in five carcinomas based on the validation using the GEPIA on-line analysis tool. CONCLUSIONS: The present analysis suggests that elevated SNHG7 is significantly associated with unfavorable OS, tumor progression, LNM and DM in various carcinomas, and may be served as a promising biomarker to guide therapy for cancer patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09068-w. |
format | Online Article Text |
id | pubmed-8722206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87222062022-01-06 Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis Zhang, Yunyuan Tian, Qingwu Huang, Shifeng Wang, Qing Wu, Hongmei Dong, Qian Chen, Xian BMC Cancer Research BACKGROUND: New evidence from clinical and fundamental researches suggests that SNHG7 is involved in the occurrence and development of carcinomas. And the increased levels of SNHG7 are associated with poor prognosis in various kinds of tumors. However, the small sample size was the limitation for the prognostic value of SNHG7 in clinical application. The aim of the present meta-analysis was to conduct a qualitative analysis to explore the prognostic value of SNHG7 in various cancers. METHODS: Articles related to the SNHG7 as a prognostic biomarker for cancer patients, were comprehensive searched in several electronic databases. The enrolled articles were qualified via the preferred reporting items for systematic reviews and meta-analysis of observational studies in epidemiology checklists. Additionally, an online database based on The Cancer Genome Atlas (TCGA) was further used to validate our results. RESULTS: We analyzed 2418 cancer patients that met the specified criteria. The present research indicated that an elevated SNHG7 expression level was significantly associated with unfavorable overall survival (OS) (HR = 2.45, 95% CI: 2.12–2.85, p <0.001). Subgroup analysis showed that high expression levels of SNHG7 were also significantly associated with unfavorable OS in digestive system cancer (HR = 2.31, 95% CI: 1.90–2.80, p <0.001) and non-digestive system cancer (HR = 2.67, 95% CI: 2.12–3.37, p <0.001). Additionally, increased SNHG7 expression was found to be associated with tumor stage and progression (III/IV vs. I/II: HR = 1.76, 95% CI: 1.57–1.98, p <0.001). Furthermore, elevated SNHG7 expression significantly predicted lymph node metastasis (LNM) (HR = 1.98, 95% CI: 1.74–2.26, p <0.001) and distant metastasis (DM) (HR = 2.49, 95% CI: 1.88–3.30, p <0.001) respectively. No significant heterogeneity was observed among these studies. SNHG7 was significantly upregulated in four cancers and the elevated expression of SNHG7 predicted shorter OS in four cancers, worse DFS in five malignancies and worse PFI in five carcinomas based on the validation using the GEPIA on-line analysis tool. CONCLUSIONS: The present analysis suggests that elevated SNHG7 is significantly associated with unfavorable OS, tumor progression, LNM and DM in various carcinomas, and may be served as a promising biomarker to guide therapy for cancer patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09068-w. BioMed Central 2022-01-03 /pmc/articles/PMC8722206/ /pubmed/34979987 http://dx.doi.org/10.1186/s12885-021-09068-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Yunyuan Tian, Qingwu Huang, Shifeng Wang, Qing Wu, Hongmei Dong, Qian Chen, Xian Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title | Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title_full | Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title_fullStr | Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title_full_unstemmed | Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title_short | Prognostic effect of lncRNA SNHG7 on cancer outcome: a meta and bioinformatic analysis |
title_sort | prognostic effect of lncrna snhg7 on cancer outcome: a meta and bioinformatic analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722206/ https://www.ncbi.nlm.nih.gov/pubmed/34979987 http://dx.doi.org/10.1186/s12885-021-09068-w |
work_keys_str_mv | AT zhangyunyuan prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT tianqingwu prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT huangshifeng prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT wangqing prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT wuhongmei prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT dongqian prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis AT chenxian prognosticeffectoflncrnasnhg7oncanceroutcomeametaandbioinformaticanalysis |