Proceedings Article | 11 September 2024
Wenze Wu, Rui Zhang, Bo Sun, Tengyu Yuan, Shaowen Tan, Linge Liu, Zhibin Xiao, Yongzi Wu, Zhiyuan Chen, Feng Wang, Yue Hou
KEYWORDS: Colorectal cancer, Databases, Pharmacology, Error control coding, Cancer, Bioinformatics, Tissues, Therapeutics, Resistance, Diseases and disorders
Recent studies suggest that Cassia tora L. may have beneficial effects on colorectal cancer. However, the mechanisms and targets through which Cassia tora exerts its effects on colorectal cancer remain inadequately understood. This study aims to elucidate the active components, targets, and mechanisms of Cassia tora in colorectal cancer using network pharmacology and bioinformatics approaches. The results reveal that Cassia tora contains 18 active components associated with 266 targets relevant to colorectal cancer. The top 15 core targets identified include TP53, SRC, PTGS2, ESR1, CYP19A1, HSP90AA1, PIK3CA, TNF, EGFR, HRAS, MMP9, CASP3, UGT2B7, HSP90AB1, and CYP2C19. Differential expression analysis, survival analysis, single-cell transcriptome analysis, and drug sensitivity analysis indicate that PTGS2, TP53, and CASP3 are promising targets for pharmacological treatment of colorectal cancer. Additionally, this study reveals that the mechanisms by which Cassia tora exerts its effects on colorectal cancer involve pathways associated with prostate cancer, lipid metabolism and atherosclerosis, and endocrine resistance. In conclusion, this study is the first to employ network pharmacology and bioinformatics to elucidate the active components, targets, and mechanisms of Cassia tora in the context of colorectal cancer, offering new insights for the development of innovative therapies for this disease.
