Automated Author ProfileHemmati, Samaneh
Hemmati, Samaneh
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM. We searched the literature for studies on HOTAIR expression in GBM patients. A meta-analysis of nine studies assessed standardized mean difference (SMD) and 95% confidence intervals (CIs) using a random-effects model. Subgroup analyses were performed based on sample source, country, and study design. Additionally, we conducted meta-regression and publication bias analyses. The meta-analysis found a significant positive association between elevated HOTAIR expression and GBM (SMD = 8.3, 95% CI 5.8–10.8, p = 0.00). Considerable heterogeneity was observed (Q-value: 1174.2, df = 9, I2 = 99.2%, p = 0.00). Subgroup analyses indicated significant associations in tissue samples and studies from the USA and China. Meta-regression revealed that study design and country contributed to the observed heterogeneity, with no significant publication bias detected. This analysis confirms the significant link between HOTAIR expression and GBM, highlighting HOTAIR as a potential therapeutic target and biomarker. Further research is necessary to clarify the biological mechanisms involved in this association.
Authors
- Bahranian, Arefeh ;
- Koshki, Mehdi ;
- Farahmandi, Fargol ;
- Eftekharian, Kourosh ;
- Hemmati, Samaneh ;
- Sattari, Mahboobe ;
- Zali, Alireza ;
- Panahi, Ghodratollah
Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM. We searched the literature for studies on HOTAIR expression in GBM patients. A meta-analysis of nine studies assessed standardized mean difference (SMD) and 95% confidence intervals (CIs) using a random-effects model. Subgroup analyses were performed based on sample source, country, and study design. Additionally, we conducted meta-regression and publication bias analyses. The meta-analysis found a significant positive association between elevated HOTAIR expression and GBM (SMD = 8.3, 95% CI 5.8–10.8, p = 0.00). Considerable heterogeneity was observed (Q-value: 1174.2, df = 9, I2 = 99.2%, p = 0.00). Subgroup analyses indicated significant associations in tissue samples and studies from the USA and China. Meta-regression revealed that study design and country contributed to the observed heterogeneity, with no significant publication bias detected. This analysis confirms the significant link between HOTAIR expression and GBM, highlighting HOTAIR as a potential therapeutic target and biomarker. Further research is necessary to clarify the biological mechanisms involved in this association.
Authors
- Bahranian, Arefeh ;
- Koshki, Mehdi ;
- Farahmandi, Fargol ;
- Eftekharian, Kourosh ;
- Hemmati, Samaneh ;
- Sattari, Mahboobe ;
- Zali, Alireza ;
- Panahi, Ghodratollah