Identification of ANKRD13D as a potential target in renal cell carcinomas

被引:0
作者
Zhou, Wenqian [1 ]
Huang, Yonghe [2 ]
Liu, Jing [1 ]
Liu, Yiguo [1 ]
Liu, Yuqing [1 ]
Yu, Chen [1 ,3 ]
机构
[1] Tongji Univ, Tongji Hosp, Sch Med, Dept Nephrol, Shanghai, Peoples R China
[2] East China Normal Univ, Coll Phys Educ & Hlth, Key Lab Adolescent Hlth Assessment & Exercise Inte, Shanghai, Peoples R China
[3] Tongji Univ, Tongji Hosp, Sch Med, Dept Nephrol, Shanghai 200065, Peoples R China
基金
中国国家自然科学基金;
关键词
ANKRD13D; UIM; renal cell carcinomas; treg; immune checkpoint; CANCER; UBIQUITIN;
D O I
10.1177/03936155241236498
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background The correlation of the expression of ankyrin repeat domain (ANKRD) family members with renal cell carcinoma prognosis was investigated.Methods The GEPIA2, GEO2R, UALCAN, GDC, OncoLnc, TIMER, PanglaoDB, CancerSEA, and Tabula Muris databases were used. Twelve ANKRD family members were identified as having overexpressed renal cell carcinoma samples. The ANKRD13D was identified as a renal cell carcinoma-specific target by cross-referencing the multiple survival databases. To clarify the role of ANKRD13D, the expression of NAKRD13D was analyzed at the single-cell level.Results ANKRD13D was mainly expressed in immune cells and positively correlated with Treg cell infiltration. The expression of ANKRD13D was also positively correlated with PDCD1, CTLA4, LAG3, TNFSF14, and ISG20. The overexpression of ANKRD13D in Treg was confirmed using reverse transcription-quantitative polymerase chain reaction. The structure of ANKRD13D was predicted using AlphaFold.Conclusion In conclusion, we identified ANKRD13D as a key immune regulator, and targeting ANKRD13D with immune checkpoints blockade may be a promoting strategy for renal cell carcinoma immunotherapy.
引用
收藏
页码:149 / 157
页数:9
相关论文
共 32 条
  • [1] OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs
    Anaya, Jordan
    [J]. PEERJ COMPUTER SCIENCE, 2016,
  • [2] Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
    Andrews, Tallulah S.
    Kiselev, Vladimir Yu
    McCarthy, Davis
    Hemberg, Martin
    [J]. NATURE PROTOCOLS, 2021, 16 (01) : 1 - 9
  • [3] A global perspective on evolving bioinformatics and data science training needs
    Attwood, Teresa K.
    Blackford, Sarah
    Brazas, Michelle D.
    Davies, Angela
    Schneider, Maria Victoria
    [J]. BRIEFINGS IN BIOINFORMATICS, 2019, 20 (02) : 398 - 404
  • [4] NCBI GEO: archive for functional genomics data sets-update
    Barrett, Tanya
    Wilhite, Stephen E.
    Ledoux, Pierre
    Evangelista, Carlos
    Kim, Irene F.
    Tomashevsky, Maxim
    Marshall, Kimberly A.
    Phillippy, Katherine H.
    Sherman, Patti M.
    Holko, Michelle
    Yefanov, Andrey
    Lee, Hyeseung
    Zhang, Naigong
    Robertson, Cynthia L.
    Serova, Nadezhda
    Davis, Sean
    Soboleva, Alexandra
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D991 - D995
  • [5] Board WCoTE, 2022, WHO CLASSIFICATION T
  • [6] UALCAN: An update to the integrated cancer data analysis platform
    Chandrashekar, Darshan Shimoga
    Karthikeyan, Santhosh Kumar
    Korla, Praveen Kumar
    Patel, Henalben
    Shovon, Ahmedur Rahman
    Athar, Mohammad
    Netto, George J.
    Qin, Zhaohui S.
    Kumar, Sidharth
    Manne, Upender
    Creighton, Chad J.
    Varambally, Sooryanarayana
    [J]. NEOPLASIA, 2022, 25 : 18 - 27
  • [7] Immunotherapy of Cancer by Targeting Regulatory T cells
    Chen, Bo-Jin
    Zhao, Jing-Wen
    Zhang, Da-Hong
    Zheng, Ai-Hong
    Wu, Guo-Qing
    [J]. INTERNATIONAL IMMUNOPHARMACOLOGY, 2022, 104
  • [8] Ubiquitination in the regulation of inflammatory cell death and cancer
    Cockram, Peter E.
    Kist, Matthias
    Prakash, Sumit
    Chen, Si-Han
    Wertz, Ingrid E.
    Vucic, Domagoj
    [J]. CELL DEATH AND DIFFERENTIATION, 2021, 28 (02) : 591 - 605
  • [9] Ubiquitin enzymes in the regulation of immune responses
    Ebner, Petra
    Versteeg, Gijs A.
    Ikeda, Fumiyo
    [J]. CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY, 2017, 52 (04) : 425 - 460
  • [10] PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
    Franzen, Oscar
    Gan, Li-Ming
    Bjorkegren, Johan L. M.
    [J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2019,