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Identifying cancer highly-expressed membrane receptors for targeted drug delivery
Wei-Chih Huang1, Feng-Mao Lin, Tzu-Hao Chang
1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsin-Chu, Taiwan. loveariddle.bi96g@g2.nctu.edu.tw
Abstract:
Currently, the accompanying side effects of anti-cancer drugs owing to incorrect delivery to normal tissues should be reduced. We present a database (MRTDD) with identified cancer highly-expressed membrane receptors (CHMRs) which can be used in targeted drug delivery. To evaluate the probability of occurrence of incorrect delivery, we calculate tissue index for each CHMR and expect to identify good candidates. The information provided includes: (1) genomic annotations; (2) gene expression profiles of membrane receptors in cancer tissue vs. corresponding normal tissue, normal tissues of body and cancer cell-lines; (3) available antibody services of manufacturers. MRTDD is available at http://mrtdd.mbc.nctu.edu.tw/.
Insights
Targeted anti-cancer drug delivery aims to reduce side effects. A new database, MRTDD, identifies cancer highly-expressed membrane receptors (CHMRs) for improved drug targeting and reduced off-target toxicity in normal tissues.
Area of Science:
- Oncology
- Pharmacology
- Bioinformatics
Background:
- Anti-cancer drug side effects stem from incorrect delivery to normal tissues.
- Targeted drug delivery strategies are crucial for improving therapeutic efficacy and patient safety.
- Cancer highly-expressed membrane receptors (CHMRs) offer potential targets for selective drug delivery.
Purpose of the Study:
- To present a comprehensive database (MRTDD) of CHMRs for targeted drug delivery.
- To evaluate the potential for incorrect drug delivery by calculating a tissue index for each CHMR.
- To identify optimal CHMR candidates for enhanced anti-cancer drug targeting.
Main Methods:
- Compiled genomic annotations for CHMRs.
- Analyzed gene expression profiles of membrane receptors in cancer vs. normal tissues and cell lines.
- Included data on available antibody services from manufacturers.
- Calculated a tissue index to assess the probability of off-target delivery.
Main Results:
- Developed the MRTDD database containing identified CHMRs.
- The tissue index provides a quantitative measure to evaluate incorrect delivery probability.
- Identified potential CHMR candidates for targeted drug delivery applications.
Conclusions:
- The MRTDD database serves as a valuable resource for developing targeted anti-cancer therapies.
- Utilizing CHMRs and the tissue index can help minimize side effects associated with conventional chemotherapy.
- This approach facilitates the selection of appropriate targets for more precise and effective cancer treatment.