J Cancer 2023; 14(11):1956-1980. doi:10.7150/jca.85517 This issue Cite

Research Paper

Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer

Chenqiong Gu1,2#✉, LinDong Tang1#, Yinghui Hao1,2#, Shanshan Dong1, Jian Shen2, FangMei Xie2, ZePing Han2, WenFeng Luo2, JinHua He2✉, Li Yu1✉

1. Department of Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, P. R. China.
2. Central Laboratory of Panyu Central Hospital, Guangzhou, 511400, Guangdong, P.R. China.
# These authors contributed equally to this work.

Citation:
Gu C, Tang L, Hao Y, Dong S, Shen J, Xie F, Han Z, Luo W, He J, Yu L. Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer. J Cancer 2023; 14(11):1956-1980. doi:10.7150/jca.85517. https://www.jcancer.org/v14p1956.htm
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Abstract

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Purpose: CRC is a malignant tumor seriously threatening human health. Quercetin and kaempferol are representative components of traditional Chinese medicine (TCM). Previous studies have shown that both quercetin and kaempferol have antitumor pharmacological effects, nevertheless, the underlying mechanism of action remains unclear. To explore the synergy and mechanism of quercetin and kaempferol in colorectal cancer.

Methods: In this study, network pharmacology, and bioinformatics are used to obtain the intersection of drug targets and disease genes. Training gene sets were acquired from the TCGA database, acquired prognostic-related genes by univariate Cox, multivariate Cox, and Lasso-Cox regression models, and validated in the GEO dataset. We also made predictions of the immune function of the samples and used molecular docking to map a model for binding two components to prognostic genes.

Results: Through Lasso-Cox regression analysis, we obtained three models of drug target genes. This model predicts the combined role of quercetin and kaempferol in the treatment and prognosis of CRC. Prognostic genes are correlated with immune checkpoints and immune infiltration and play an adjuvant role in the immunotherapy of CRC.

Conclusion: Core genes are regulated by quercetin and kaempferol to improve the patient's immune system and thus assist in the treatment of CRC.

Keywords: quercetin, kaempferol, colorectal cancer, network pharmacology, Lasso-cox prognosis analysis, Prognostic model, Immune prediction.


Citation styles

APA
Gu, C., Tang, L., Hao, Y., Dong, S., Shen, J., Xie, F., Han, Z., Luo, W., He, J., Yu, L. (2023). Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer. Journal of Cancer, 14(11), 1956-1980. https://doi.org/10.7150/jca.85517.

ACS
Gu, C.; Tang, L.; Hao, Y.; Dong, S.; Shen, J.; Xie, F.; Han, Z.; Luo, W.; He, J.; Yu, L. Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer. J. Cancer 2023, 14 (11), 1956-1980. DOI: 10.7150/jca.85517.

NLM
Gu C, Tang L, Hao Y, Dong S, Shen J, Xie F, Han Z, Luo W, He J, Yu L. Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer. J Cancer 2023; 14(11):1956-1980. doi:10.7150/jca.85517. https://www.jcancer.org/v14p1956.htm

CSE
Gu C, Tang L, Hao Y, Dong S, Shen J, Xie F, Han Z, Luo W, He J, Yu L. 2023. Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer. J Cancer. 14(11):1956-1980.

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