Automated Author ProfileKhademerfan, Mohammad Bagher
Khademerfan, Mohammad Bagher
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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gastric cancer is a significant health challenge globally, necessitating the identification of novel biomarkers for improved diagnosis. Our study aimed to address this gap by investigating the diagnostic potential a set of long non-coding RNAs (lncRNAs) in gastric cancer patients compared to healthy controls. We conducted a retrospective case-control analysis involving 256 participants, including 128 gastric cancer patients and 128 healthy individuals. Alongside the measurement of serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19–9 (CA19.9), the plasma expression profiling of eight lnc-RNAs was performed in the selected samples. Our findings revealed significant alterations in CEA and CA19.9 levels in gastric cancer patients compared to controls (p < 0.05). Moreover, upregulated expression of lncRNAs, including HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1, were all observed in gastric cancer patients (p < 0.05). Excluding lncUGC1 and FAM49B-AS, ROC curve analysis demonstrated the diagnostic potential of lncRNAs in gastric cancer detection, with notable specificity and sensitivity. Our study disclosed the diagnostic utility of plasma HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1 lncRNAs as appropriate diagnostic biomarkers for gastric cancer. The identification of dysregulated lncRNAs offers promising avenues for noninvasive diagnostic assessment in gastric cancer.
Authors
- Pourfarzam, Pouneh ;
- Khademerfan, Mohammad Bagher ;
- Shakeri, Ramin ;
- Ghanbari, Reza ;
- Azarnezhad, Asaad
Gastric cancer is a significant health challenge globally, necessitating the identification of novel biomarkers for improved diagnosis. Our study aimed to address this gap by investigating the diagnostic potential a set of long non-coding RNAs (lncRNAs) in gastric cancer patients compared to healthy controls. We conducted a retrospective case-control analysis involving 256 participants, including 128 gastric cancer patients and 128 healthy individuals. Alongside the measurement of serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19–9 (CA19.9), the plasma expression profiling of eight lnc-RNAs was performed in the selected samples. Our findings revealed significant alterations in CEA and CA19.9 levels in gastric cancer patients compared to controls (p < 0.05). Moreover, upregulated expression of lncRNAs, including HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1, were all observed in gastric cancer patients (p < 0.05). Excluding lncUGC1 and FAM49B-AS, ROC curve analysis demonstrated the diagnostic potential of lncRNAs in gastric cancer detection, with notable specificity and sensitivity. Our study disclosed the diagnostic utility of plasma HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1 lncRNAs as appropriate diagnostic biomarkers for gastric cancer. The identification of dysregulated lncRNAs offers promising avenues for noninvasive diagnostic assessment in gastric cancer.
Authors
- Pourfarzam, Pouneh ;
- Khademerfan, Mohammad Bagher ;
- Shakeri, Ramin ;
- Ghanbari, Reza ;
- Azarnezhad, Asaad