High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment
Breast 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 treat...
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Format: | Article |
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Frontiers Media S.A.
2021-08-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.684351/full |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ling Kui Ling Kui Ling Kui Qinghua Kong Xiaonan Yang Xiaonan Yang Yunbing Pan Zetan Xu Shouling Wang Jian Chen Kunhua Wei Kunhua Wei Xiaolei Zhou Xiaolei Zhou Xingzhi Yang Tingqin Wu Anthati Mastan Yao Liu Jianhua Miao Jianhua Miao |
spellingShingle |
Ling Kui Ling Kui Ling Kui Qinghua Kong Xiaonan Yang Xiaonan Yang Yunbing Pan Zetan Xu Shouling Wang Jian Chen Kunhua Wei Kunhua Wei Xiaolei Zhou Xiaolei Zhou Xingzhi Yang Tingqin Wu Anthati Mastan Yao Liu Jianhua Miao Jianhua Miao High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment Frontiers in Oncology breast cancer traditional Chinese medicine (TCM) high-throughput sequencing transcriptome analysis WGCNA |
author_facet |
Ling Kui Ling Kui Ling Kui Qinghua Kong Xiaonan Yang Xiaonan Yang Yunbing Pan Zetan Xu Shouling Wang Jian Chen Kunhua Wei Kunhua Wei Xiaolei Zhou Xiaolei Zhou Xingzhi Yang Tingqin Wu Anthati Mastan Yao Liu Jianhua Miao Jianhua Miao |
author_sort |
Ling Kui |
title |
High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment |
title_short |
High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment |
title_full |
High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment |
title_fullStr |
High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment |
title_full_unstemmed |
High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment |
title_sort |
high-throughput in vitro gene expression profile to screen of natural herbals for breast cancer treatment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2021-08-01 |
description |
Breast 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. |
topic |
breast cancer traditional Chinese medicine (TCM) high-throughput sequencing transcriptome analysis WGCNA |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2021.684351/full |
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doaj-0c1a7b1ccce5417c8bf25c658d8402142021-08-13T14:24:47ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-08-011110.3389/fonc.2021.684351684351High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer TreatmentLing Kui0Ling Kui1Ling Kui2Qinghua Kong3Xiaonan Yang4Xiaonan Yang5Yunbing Pan6Zetan Xu7Shouling Wang8Jian Chen9Kunhua Wei10Kunhua Wei11Xiaolei Zhou12Xiaolei Zhou13Xingzhi Yang14Tingqin Wu15Anthati Mastan16Yao Liu17Jianhua Miao18Jianhua Miao19Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, ChinaDana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United StatesSchool of Pharmacy, Jiangsu University, Zhenjiang, ChinaState Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Medicinal Botanical Garden, Nanning, ChinaGuangxi Engineering Research Center of Traditional Chinese Medicine (TCM) Resource Intelligent Creation, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaNowbio Biotechnology Company, Kunming, ChinaNowbio Biotechnology Company, Kunming, ChinaNowbio Biotechnology Company, Kunming, ChinaInternational Genome Center, Jiangsu University, Zhenjiang, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Medicinal Botanical Garden, Nanning, ChinaGuangxi Engineering Research Center of Traditional Chinese Medicine (TCM) Resource Intelligent Creation, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Medicinal Botanical Garden, Nanning, ChinaGuangxi Engineering Research Center of Traditional Chinese Medicine (TCM) Resource Intelligent Creation, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaState Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaDepartment of Cell Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China0Research Center, Microbial Technology Laboratory, Council of Scientific & Industrial Research (CSIR)-Central Institute of Medicinal and Aromatic Plants, Bangalore, India1Baoji High-tech Hospital , Baoji, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Medicinal Botanical Garden, Nanning, China2School of Pharmacy, Guangxi Medical University, Nanning, ChinaBreast 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.https://www.frontiersin.org/articles/10.3389/fonc.2021.684351/fullbreast cancertraditional Chinese medicine (TCM)high-throughput sequencingtranscriptome analysisWGCNA |