High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment
Kui,Ling; Kong,Qinghua; Yang,Xiaonan; Pan,Yunbing; Xu,Zetan; Wang,Shouling; Chen,Jian; Wei,Kunhua; Zhou,Xiaolei; Yang,Xingzhi; Wu,Tingqin; Mastan,Anthati; Liu,Yao; Miao,Jianhua
AbstractBreast cancer has surpassed lung cancer as the most commonly diagnosed cancer in women worldwide. Some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combination of conventional therapies and traditional Chinese medicine (TCM) significantly improves treatment efficacy in breast cancer. However, the chemical composition and underlying anti-tumor mechanisms of TCM still need to be investigated. The primary aim of this study is to provide unique insights to screen the natural components for breast cancer therapy using high-throughput transcriptome analysis. Differentially expressed genes were identified based on two conditions: single samples and groups were classified according to their pharmaceutical effect. Subsequently, the sample treated with E. cochinchinensis Lour. generated the most significant DEGs set, including 1,459 DEGs, 805 upregulated and 654 downregulated. Similarly, group 3 treatment contained the most DEGs (414 DEGs, 311 upregulated and 103 downregulated). KEGG pathway analyses showed five significant pathways associated with the inflammatory and metastasis processes in cancer, which include the TNF, IL-17, NF-kappa B, MAPK signaling pathways, and transcriptional misregulation in cancer. Samples were classified into 13 groups based on their pharmaceutical effects. The results of the KEGG pathway analyses remained consistent with signal samples; group 3 presents a high significance. A total of 21 genes were significantly regulated in these five pathways, interestingly, IL6, TNFAIP3, and BRIC3 were enriched on at least two pathways, seven genes (FOSL1, S100A9, CXCL12, ID2, PRS6KA3, AREG, and DUSP6) have been reported as the target biomarkers and even the diagnostic tools in cancer therapy. In addition, weighted correlation network analysis (WGCNA) was used to identify 18 modules. Among them, blue and thistle2 were the most relevant modules. A total of 26 hub genes in blue and thistle2 modules were identified as the hub genes. In conclusion, we screened out three new TCM (R. communis L., E. cochinchinensis Lour., and B. fruticosa) that have the potential to develop natural drugs for breast cancer therapy, and obtained the therapeutic targets.
Keywordbreast cancer traditional Chinese medicine (TCM) high-throughput sequencing transcriptome analysis WGCNA COEXPRESSION NETWORK ANALYSIS IL-17 RECEPTOR RNA-SEQ IDENTIFICATION KINASE CELLS TRANSCRIPTOME INDUCTION PRODUCTS PROMOTES
WOS IDWOS:000693506700001
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Affiliation1.Shenzhen Qianhai Shekou Free Trade Zone Hosp, Shenzhen, Peoples R China
2.Harvard Med Sch, Dana Farber Canc Inst, Boston, MA 02115 USA
3.Jiangsu Univ, Sch Pharm, Zhenjiang, Jiangsu, Peoples R China
4.Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming, Yunnan, Peoples R China
5.Guangxi Med Bot Garden, Guangxi Key Lab Med Resources Protect & Genet Imp, Nanning, Peoples R China
6.Guangxi Bot Garden Med Plants, Guangxi Engn Res Ctr Tradit Chinese Med TCM Resou, Nanning, Peoples R China
7.Nowbio Biotechnol Co, Kunming, Yunnan, Peoples R China
8.Jiangsu Univ, Int Genome Ctr, Zhenjiang, Jiangsu, Peoples R China
9.Sun Yat Sen Univ, Zhongshan Sch Med, Dept Cell Biol, Guangzhou, Peoples R China
10.Cent Inst Med & Aromat Plants, Council Sci & Ind Res CSIR, Microbial Technol Lab, Res Ctr, Bangalore, Karnataka, India
11.Baoji High Tech Hosp, Baoji, Peoples R China
12.Guangxi Med Univ, Sch Pharm, Nanning, Peoples R China
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Kui,Ling,Kong,Qinghua,Yang,Xiaonan,et al. High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment[J]. FRONTIERS IN ONCOLOGY,2021,11.
APA Kui,Ling.,Kong,Qinghua.,Yang,Xiaonan.,Pan,Yunbing.,Xu,Zetan.,...&Miao,Jianhua.(2021).High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment.FRONTIERS IN ONCOLOGY,11.
MLA Kui,Ling,et al."High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment".FRONTIERS IN ONCOLOGY 11(2021).
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