Automated Author ProfileWu, Huanwen
Peking Union Medical College Hospital
Wu, Huanwen
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: 1.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Objective: To validate the targeted next-generation sequencing (NGS) platform-Ion Torrent PGM for KRAS exon 2 and expanded RAS mutations detection in formalin-fixed paraffin-embedded (FFPE) colorectal cancer (CRC) specimens, with comparison of Sanger sequencing and ARMS-Scorpion real-time PCR. Setting: Beijing, China. Participants: 51 archived FFPE CRC samples (36 men, 15 women) were retrospectively randomly selected and then checked by an experienced pathologist for sequencing based on histological confirmation of CRC and availability of sufficient tissue. Methods: RAS mutations were detected in the 51 FFPE CRC samples by PGM analysis, Sanger sequencing and the Therascreen KRAS assay, respectively. Agreement among the 3 methods was assessed. Assay sensitivity was further determined by sequencing serially diluted DNA from FFPE cell lines with known mutation statuses. Results: 13 of 51 (25.5%) cases had a mutation in KRAS exon 2, as determined by PGM analysis. PGM analysis showed 100% (51/51) concordance with Sanger sequencing (κ=1.000, 95% CI 1 to 1) and 98.04% (50/51) agreement with the Therascreen assay (κ=0.947, 95% CI 0.844 to 1) for detecting KRAS exon 2 mutations, respectively. The only discrepant case harboured a KRAS exon 2 mutation (c.37G>T) that was not covered by the Therascreen kit. The dilution series experiment results showed that PGM was able to detect KRAS mutations at a frequency of as low as 1%. Importantly, RAS mutations other than KRAS exon 2 mutations were also detected in 10 samples by PGM. Furthermore, mutations in other CRC-related genes could be simultaneously detected in a single test by PGM. Conclusions: The targeted NGS platform is specific and sensitive for KRAS exon 2 mutation detection and is appropriate for use in routine clinical testing. Moreover, it is sample saving and cost-efficient and time-efficient, and has great potential for clinical application to expand testing to include mutations in RAS and other CRC-related genes.
Authors
- Gao, Jie ;
- Wu, Huanwen ;
- Wang, Li ;
- Zhang, Hui ;
- Duan, Huanli ;
- Lu, Junliang ;
- Liang, Zhiyong