Identify critical genes of breast cancer and corresponding leading natural product compounds of potential therapeutic targets

被引:0
|
作者
Fan, Xiaokai [1 ,2 ,3 ]
Xin, Le [1 ]
Yu, Xuan [2 ]
Liu, Maoxuan [2 ]
Shim, Joong Sup [4 ]
Yang, Gui [1 ]
Chen, Liang [2 ]
机构
[1] Longgang Cent Hosp, Dept Gen Surg Otolaryngol, Shenzhen, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Inst Biomed & Biotechnol, Shenzhen Lab Tumor Cell Biol, Shenzhen, Peoples R China
[3] Fudan Univ, Ctr Intelligent Med Res, Greater Bay Area Inst Precis Med Guangzhou, Sch Life Sci, Shanghai, Peoples R China
[4] Univ Macau, Fac Hlth Sci, Canc Ctr, Ave Univ, Taipa, Macau, Peoples R China
关键词
Breast cancer; Hub genes; Leading compounds; Targeted therapy; SINGLE-CELL; CHOLESTEROL; STRATEGIES;
D O I
10.1007/s11030-024-11035-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Breast cancer is a leading cause of cancer mortality among women globally, with over 2.26 million new cases annually, according to GLOBOCAN 2020. This accounts for approximately 25% of all new female cancers and 15.5% of female cancer deaths. To address this critical public health challenge, we conducted a multi-omics study aimed at identifying hub genes, therapeutic targets, and potential natural product-based therapies. We employed weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis to pinpoint hub genes in breast cancer. Regulatory networks for these genes were constructed by re-analyzing chromatin immunoprecipitation sequencing (ChIP-seq) data from breast cancer cell lines. Additionally, single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) were utilized to characterize hub gene expression profiles and their relationships with immune cell clusters and tumor microenvironments. Survival analysis based on mRNA and protein expression levels identified prognostic factors and potential therapeutic targets. Lastly, large-scale virtual screening of natural product compounds revealed leading compounds that target squalene epoxidase (SQLE). Our multi-omics analysis paves the way for more effective clinical treatments for breast cancer.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Investigation of mesenchymal stem cell secretome on breast cancer gene expression: A bioinformatic approach to identify differentially expressed genes, functional networks, and potential therapeutic targets
    Rasouli, Mohammad
    Safari, Fatemeh
    Roudi, Raheleh
    Sobhani, Navid
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2025, 115
  • [22] Integrated Genomic and Pharmacological Approaches to Identify Synthetic Lethal Genes as Cancer Therapeutic Targets
    Mizuarai, Shinji
    Irie, Hiroki
    Schmatz, Dennis M.
    Kotani, Hidehito
    CURRENT MOLECULAR MEDICINE, 2008, 8 (08) : 774 - 783
  • [23] Therapeutic effect of some natural active compounds for breast cancer
    Gokalp, Faik
    MEDICAL ONCOLOGY, 2022, 39 (08)
  • [24] Therapeutic effect of some natural active compounds for breast cancer
    Faik Gökalp
    Medical Oncology, 39
  • [25] Mechanisms of Intrinsic Radioresistance in Breast Cancer Identify Potential Therapeutic Vulnerabilities
    McBean, B.
    Michmerhuizen, A. R.
    Wilder-Romans, K.
    Chandler, B.
    Lerner, L.
    Ward, C.
    Liu, M.
    Boyle, A. P.
    Speers, C.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : E250 - E250
  • [26] Network pharmacology identify intersection genes of quercetin and Alzheimer's disease as potential therapeutic targets
    Wei, Caihui
    Li, Shu
    Zhu, Yu
    Chen, Wenzhi
    Li, Cheng
    Xu, Renshi
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [27] An in vivo shRNA screen to identify novel drivers and therapeutic targets of breast cancer metastasis
    Van Weverwijk, A.
    Ashenden, M.
    Murugaesu, N.
    Iravani, M.
    Isacke, C. M.
    EUROPEAN JOURNAL OF CANCER, 2014, 50 : S88 - S88
  • [28] High resolution oligonucleotide array-CGH to identify therapeutic targets in breast cancer
    Lazar, V.
    Andre, F.
    Liedtke, C.
    Job, B.
    Symmans, W. F.
    Levy, A.
    Delaloge, S.
    Dessens, P.
    Michiels, S.
    Pusztai, L.
    JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (15)
  • [29] Circular RNAs: Potential Applications as Therapeutic Targets and Biomarkers in Breast Cancer
    Sarkar, Debina
    Diermeier, Sarah D.
    NON-CODING RNA, 2021, 7 (01) : 1 - 17
  • [30] Extracellular Matrix: Emerging Roles and Potential Therapeutic Targets for Breast Cancer
    Zhao, Yunchun
    Zheng, Xiaoling
    Zheng, Yongquan
    Chen, Yue
    Fei, Weidong
    Wang, Fengmei
    Zheng, Caihong
    FRONTIERS IN ONCOLOGY, 2021, 11