CDT1 is a Potential Therapeutic Target for the Progression of NAFLD to HCC and the Exacerbation of Cancer

被引:0
|
作者
He, Xingyu [1 ,2 ]
Ma, Jun [1 ,2 ]
Yan, Xue [1 ,2 ]
Yang, Xiangyu [3 ]
Wang, Ping [3 ]
Zhang, Lijie [1 ,2 ]
Li, Na [1 ,2 ]
Shi, Zheng [1 ,2 ]
机构
[1] Chengdu Univ, Clin Med Coll, Chengdu 610083, Peoples R China
[2] Chengdu Univ, Affiliated Hosp, Chengdu 610083, Peoples R China
[3] Sichuan Univ, West China Hosp, Chengdu 610083, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonalcoholic fatty liver disease; hepatocellular carcinoma; machine learning; CDT1; single-cell sequencing; early diagnosis; FATTY LIVER;
D O I
10.2174/0113892029313473240919105819
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
Aims This study aimed to identify potential therapeutic targets in the progression from non-alcoholic fatty liver disease (NAFLD) to hepatocellular carcinoma (HCC), with a focus on genes that could influence disease development and progression.Background Hepatocellular carcinoma, significantly driven by non-alcoholic fatty liver disease, represents a major global health challenge due to late-stage diagnosis and limited treatment options. This study utilizes bioinformatics to analyze data from GEO and TCGA, aiming to uncover molecular biomarkers that bridge NAFLD to HCC. Through identifying critical genes and pathways, our research seeks to advance early detection and develop targeted therapies, potentially improving prognosis and personalizing treatment for NAFLD-HCC patients.Objective Identify key genes that differ between NAFLD and HCC; Analyze these genes to understand their roles in disease progression; Validate the functions of these genes in NAFLD to HCC transition.Methods Initially, we identified a set of genes differentially expressed in both NAFLD and HCC using second-generation sequencing data from the GEO and TCGA databases. We then employed a Cox proportional hazards model and a Lasso regression model, applying machine learning techniques to the large sample data from TCGA. This approach was used to screen for key disease-related genes, and an external dataset was utilized for model validation. Additionally, pseudo-temporal sequencing analysis of single-cell sequencing data was performed to further examine the variations in these genes in NAFLD and HCC.Results The machine learning analysis identified IGSF3, CENPW, CDT1, and CDC6 as key genes. Furthermore, constructing a machine learning model for CDT1 revealed it to be the most critical gene, with model validation yielding an ROC value greater than 0.80. The single-cell sequencing data analysis confirmed significant variations in the four predicted key genes between the NAFLD and HCC groups.Conclusion Our study underscores the pivotal role of CDT1 in the progression from NAFLD to HCC. This finding opens new avenues for early diagnosis and targeted therapy of HCC, highlighting CDT1 as a potential therapeutic target.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] CRM-1 as a potential therapeutic target in pancreatic cancer
    Azmi, Asfar S.
    McCauley, Dilara
    Shacham, Sharon
    Kauffman, Michael
    Mohammad, Ramzi M.
    CANCER RESEARCH, 2012, 72
  • [42] The potential of Beclin 1 as a therapeutic target for the treatment of breast cancer
    Jung, Yoon Yang
    Lee, Yu Kyung
    Koo, Ja Seung
    EXPERT OPINION ON THERAPEUTIC TARGETS, 2016, 20 (02) : 167 - 178
  • [43] Prostaglandin Reductase 1 as a Potential Therapeutic Target for Cancer Therapy
    Wang, Xing
    Yin, Guobing
    Zhang, Wei
    Song, Kunlin
    Zhang, Longbin
    Guo, Zufeng
    FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [44] Histamine receptor 1: A potential therapeutic target for pancreatic cancer
    Bort, Elena Tomas
    Salvador, Cristina Salmeron
    Sriram, Krishna
    Javadi-Paydar, Mehrak
    Smitham, Jane
    Grose, Richard
    McCormick, Peter
    Insel, Paul
    BRITISH JOURNAL OF PHARMACOLOGY, 2023, 180 (04) : 567 - 567
  • [45] KRCC1: A potential therapeutic target in ovarian cancer
    Dwivedi, Shailendra Kumar Dhar
    Shameer, Khader
    Dey, Anindya
    Mustafi, Soumyajit Banerjee
    Xiong, Xunhao
    Bhattacharya, Udayan
    Neizer-Ashun, Fiifi
    Rao, Geeta
    Wang, Yue
    Ivan, Cristina
    Yang, Da
    Dudley, Joel T.
    Xu, Chao
    Wren, Jonathan D.
    Mukherjee, Priyabrata
    Bhattacharya, Resham
    FASEB JOURNAL, 2020, 34 (02): : 2287 - 2300
  • [46] TMS1 as a potential therapeutic target of pancreatic cancer
    Miller, H.
    Ramachandran, K.
    Gordian, E.
    Lima, C. S. Rocha
    Singal, R.
    JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (15)
  • [47] Sphingosine kinase-1 - a potential therapeutic target in cancer
    Cuvillier, Olivier
    ANTI-CANCER DRUGS, 2007, 18 (02) : 105 - 110
  • [48] HSF1: a potential target for therapeutic intervention in cancer
    Wu, Shu-Yue
    Guo, Peng
    Peng, Tao
    Xu, Jing
    Hou, Qing-Qing
    Sun, Xing
    Zhang, Zhi
    Huang, Hai
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2017, 10 (03): : 5637 - 5648
  • [49] HUS1 as a Potential Therapeutic Target in Urothelial Cancer
    Lindner, Andrea Katharina
    Furlan, Tobias
    Orme, Jacob J.
    Tulchiner, Gennadi
    Staudacher, Nina
    D'Andrea, David
    Culig, Zoran
    Pichler, Renate
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (08)
  • [50] Role of galectin 3 binding protein in cancer progression: a potential novel therapeutic target
    Emily Capone
    Stefano Iacobelli
    Gianluca Sala
    Journal of Translational Medicine, 19