Abstract
Breast cancer is one of the most important global health problems affecting both developed and developing countries. The identification of anticancer compounds, effective on breast cancer cells, is of key importance in chemoprevention investigations and drug development studies. In the literature, there are numerous compounds that have been analyzed for their cytotoxic effects on breast cancer cells, but there is no database where the researchers who want to design a new study on breast cancer can find these compounds all at once. This paper presents a relational database that stores the data of natural and synthetic compounds cytotoxically active on breast cancer cells. The database contains 381 cytotoxicity results and data of 159 compounds, compiled from selected 80 studies. When all this data in our database was queried, it was found out that quercetin, which is a dietary flavonoid, is the most analyzed compound, and MCF-7 cell line is the most used breast cancer cell line.
Keywords
relational database relational model breast cancer cytotoxic compounds cytotoxicity analyses
References
- [1] WHO, “Newsroom Cancer,” 2022. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/cancer. [Accessed: 24-June-2022].
- [2] H. Sung, J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray, “Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209-249, 202.
- [3] E. F. Codd, “A Relational Model of Data for Large Shared Data Banks,” Communications of the ACM, vol. 13, no. 6, pp. 377-387, 1970
Abstract
References
- [1] WHO, “Newsroom Cancer,” 2022. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/cancer. [Accessed: 24-June-2022].
- [2] H. Sung, J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray, “Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209-249, 202.
- [3] E. F. Codd, “A Relational Model of Data for Large Shared Data Banks,” Communications of the ACM, vol. 13, no. 6, pp. 377-387, 1970
Details
| Primary Language | English |
|---|---|
| Subjects | Computer Software, Software Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Publication Date | August 31, 2022 |
| Submission Date | August 2, 2022 |
| Acceptance Date | August 5, 2022 |
| Published in Issue | Year 2022 |
The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License