Prognosis and immunological characteristics of HDAC family in pan-cancer through integrative multi-omic analysis

被引:0
|
作者
Chen, Changsheng [1 ,2 ,3 ]
Wang, Ke [4 ]
Zhang, Yu [1 ,2 ,5 ]
Qi, Yixin [4 ]
Shen, Chong [1 ,2 ]
Zhang, Zhe [1 ,2 ]
Zhang, Zongliang [4 ]
Yang, Han [4 ]
Hu, Hailong [1 ,2 ]
机构
[1] Tianjin Med Univ, Hosp 2, Tianjin Inst Urol, Dept Urol, 23 Pingjiang Rd, Tianjin 300211, Peoples R China
[2] Tianjin Med Univ, Hosp 2, Tianjin Inst Urol, Tianjin Key Lab Urol, Tianjin 300211, Peoples R China
[3] Tianjin Haihe Hosp, Dept Urol, Tianjin 300350, Peoples R China
[4] Qingdao Univ, Affiliated Hosp, Dept Urol, 1677 Wutaishan Rd, Qingdao 266001, Peoples R China
[5] Tianjin Fifth Cent Hosp, Ecoc Hosp, Dept Urol, Tianjin 300451, Peoples R China
关键词
Histone deacetylase; Pan-cancer; Prognosis; Immunotherapy; Immune infiltration; HISTONE DEACETYLASES; EXPRESSION; CARCINOMAS; INHIBITORS; CELLS; CELLMINER; RESPONSES; SURVIVAL; THERAPY;
D O I
10.1186/s43042-024-00518-1
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background The histone deacetylase (HDAC) family plays a significant role in a variety of biological processes related to cancer, such as metabolism and cancer progression, and recognized as a target of anti-cancer drugs. Nevertheless, there has been limited systematic research available regarding HDAC family in human cancers using multi-omics approaches.Objective To evaluate the prognostic implications and immunological features of the HDAC family across multiple cancer types through comprehensive multi-omics analysis.Methods We studied the associations of HDAC activity and a variety of factors, encompassing immune checkpoint genes, the tumor microenvironment (TME), instability of microsatellites (MSI), inherited mutations, variation in copy number, tumor mutation burden (TMB), and sensitivity to drugs in a variety of cancer types. Moreover, we analyzed the link between the degree of HDAC activity and the effectiveness of immunotherapy in several cohorts, providing significant details about the possible impact of HDACs on immunotherapeutic responses. Furthermore, we explored potential signaling pathways of HDACs in bladder cancer (BC) using gene set enrichment analysis (GSEA). Immune infiltration analysis in bladder cancer was performed based on HDACs expression, copy number or somatic mutations. Furthermore, the Human Protein Atlas (HPA) dataset has been used to validate the expression of the HDACs protein in BC.Results The HDACs expression exhibits significant heterogeneity across different cancer types and is significantly correlated with patient prognosis, clinical traits, mutations, TME, TMB, MSI, immune checkpoint genes, and objective responses in immunotherapy. The drug sensitivity of cancers was found to be correlated with the gene expression of specific HDAC familial members. In BC, GSEA demonstrates enrichment of multiple immune-related functions and pathways; moreover, there are significant associations between genomic variations in HDACs and the degree of typical immunological cell recruitment. Furthermore, findings from differential expression analysis in BC are validated by protein expression analysis obtained from the HPA database.Conclusions These findings reveal the significance of HDAC family in survival prognosis and treatment guidance of human cancers, and some of them have the potential to be used as immunotherapy biomarkers.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Prognosis and immunological characteristics of HDAC family in pan-cancer through integrative multi-omic analysis
    Changsheng Chen
    Ke Wang
    Yu Zhang
    Yixin Qi
    Chong Shen
    Zhe Zhang
    Zongliang Zhang
    Han Yang
    Hailong Hu
    Egyptian Journal of Medical Human Genetics, 25
  • [2] Integrative Analysis of Multi-Omic Data for the Characteristics of Endometrial Cancer
    Li, Tong
    Ruan, Zhijun
    Song, Chunli
    Yin, Feng
    Zhang, Tuanjie
    Shi, Liyun
    Zuo, Min
    Lu, Linlin
    An, Yuhao
    Wang, Rui
    Ye, Xiyang
    ACS OMEGA, 2024, 9 (12): : 14489 - 14499
  • [3] Multi-omic integrated curvature study on pan-cancer genomic data
    Zhu, Jiening
    Tran, Anh Phong
    Deasy, Joseph O.
    Tannenbaum, Allen
    MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2024, 36 (01) : 101 - 120
  • [4] Multi-omic integrated curvature study on pan-cancer genomic data
    Jiening Zhu
    Anh Phong Tran
    Joseph O. Deasy
    Allen Tannenbaum
    Mathematics of Control, Signals, and Systems, 2024, 36 : 101 - 120
  • [5] Pan-cancer, multi-omic analysis of 'hot' and 'cold' tumors reveals immunotherapy relevant signatures
    Nale, E.
    Bischof, J.
    Woodsmith, J.
    ANNALS OF ONCOLOGY, 2024, 35 : S701 - S701
  • [6] Integrative Multi-Omic Analysis for Prognosis Stratification in Acute Myeloid Leukemia
    Song, Yang
    Wang, Zhe
    Zhang, Guangji
    Hou, Jiangxue
    Liu, Kaiqi
    Wei, Shuning
    Zhou, Chunlin
    Lin, Dong
    Wang, Min
    Wang, Jianxiang
    Cheng, Tao
    Mi, Yingchang
    BLOOD, 2023, 142
  • [7] Pan-cancer analyses reveal multi-omic signatures and clinical implementations of the forkhead-box gene family
    Bi, Xiaoman
    Zheng, Dehua
    Cai, Jiale
    Xu, Dahua
    Chen, Liyang
    Xu, Zhizhou
    Cao, Meng
    Li, Peihu
    Shen, Yutong
    Wang, Hong
    Zheng, Wuping
    Wu, Deng
    Zheng, Shaojiang
    Li, Kongning
    CANCER MEDICINE, 2023, 12 (16): : 17428 - 17444
  • [8] Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
    Gonzalez-Reymundez, Agustin
    Vazquez, Ana I.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [9] Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
    Agustín González-Reymúndez
    Ana I. Vázquez
    Scientific Reports, 10
  • [10] Understanding immunological origins of atopic dermatitis through multi-omic analysis
    Beheshti, Ramin
    Halstead, Scott
    McKeone, Daniel
    Hicks, Steven D.
    PEDIATRIC ALLERGY AND IMMUNOLOGY, 2022, 33 (06)