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Wang X, Wang XQ, Luo K, Bai H, Qi JL, Zhang GX. Research Progress of Chinese Medicine Monomers in Treatment of Cholangiocarcinoma. Chin J Integr Med 2024:10.1007/s11655-024-4203-9. [PMID: 39470920 DOI: 10.1007/s11655-024-4203-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2024] [Indexed: 11/01/2024]
Abstract
Cholangiocarcinoma (CCA) is a malignant tumor originating from cholangiocytes. However, it remains unclear about the pathogenesis of this carcinoma, which may be related to multiple factors. Currently, CCA is mainly treated by surgery, chemotherapy, and radiotherapy. Among them, surgery is the only potentially curative option for CCA. Nevertheless, the high malignancy and asymptomatic nature of CCA may lead to poor treatment outcomes. It has been demonstrated that Chinese medicine (CM) plays a significant role in various antitumor applications. Meanwhile, CM exhibits fewer side effects and high availability. Moreover, the in vitro application of CM monomers has been explored in many domestic and foreign studies. This article mainly reviews the signaling pathways and molecular mechanisms of CM monomers in the treatment of CCA in recent years. These findings are expected to provide new insights into the treatment of CCA.
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Affiliation(s)
- Xiang Wang
- Department of General Surgery, the Second Hospital of Dalian Medical University, Dalian, Liaoning Province, 116027, China
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, 116021, China
- Hepatobiliary Surgery Department, Shandong Provincial Third Hospittal, Shandong University, Jinan, 250031, China
| | - Xiao-Qing Wang
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, 116021, China
| | - Kai Luo
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, 116021, China
| | - He Bai
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, 116021, China
| | - Jia-Lin Qi
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, 116021, China
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, Liaoning Province, 116044, China
| | - Gui-Xin Zhang
- Department of General Surgery, the Second Hospital of Dalian Medical University, Dalian, Liaoning Province, 116027, China.
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, Liaoning Province, 116044, China.
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Li X, Lv X, Li H, Zhang G, Long Y, Li K, Fan Y, Jin D, Zhou F, Liu H. Undifferentially Expressed CXXC5 as a Transcriptionally Regulatory Biomarker of Breast Cancer. Adv Biol (Weinh) 2023; 7:e2300189. [PMID: 37423953 DOI: 10.1002/adbi.202300189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/17/2023] [Indexed: 07/11/2023]
Abstract
This work hypothesizes that some genes undergo radically changed transcription regulations (TRs) in breast cancer (BC), but don't show differential expressions for unknown reasons. The TR of a gene is quantitatively formulated by a regression model between the expression of this gene and multiple transcription factors (TFs). The difference between the predicted and real expression levels of a gene in a query sample is defined as the mqTrans value of this gene, which quantitatively reflects its regulatory changes. This work systematically screens the undifferentially expressed genes with differentially expressed mqTrans values in 1036 samples across five datasets and three ethnic groups. This study calls the 25 genes satisfying the above hypothesis in at least four datasets as dark biomarkers, and the strong dark biomarker gene CXXC5 (CXXC Finger Protein 5) is even supported by all the five independent BC datasets. Although CXXC5 does not show differential expressions in BC, its transcription regulations show quantitative associations with BCs in diversified cohorts. The overlapping long noncoding RNAs (lncRNAs) may have contributed their transcripts to the expression miscalculations of dark biomarkers. The mqTrans analysis serves as a complementary view of the transcriptome-based detections of biomarkers that are ignored by many existing studies.
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Affiliation(s)
- Xue Li
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Xiaoying Lv
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Haijun Li
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Gongyou Zhang
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Yaohang Long
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Kewei Li
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
- College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Yusi Fan
- College of Software, Jilin University, Changchun, 130012, China
| | - Dawei Jin
- Research Institute of Guizhou Huada Life Big Data, Guiyang, Guizhou, 550025, China
| | - Fengfeng Zhou
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
- College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Hongmei Liu
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
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Li M, Hu M, Wang Y, Xia Z, Li Z, Li J, Zheng D, Zheng X, Xi M. Loss of RBPMS in ovarian cancer compromises the efficacy of EGFR inhibitor gefitinib through activating HER2/AKT/mTOR/P70S6K signaling. Biochem Biophys Res Commun 2022; 637:348-357. [DOI: 10.1016/j.bbrc.2022.11.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022]
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