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Revealing genes associated with cervical cancer in distinct immune cells: A comprehensive Mendelian randomization analysis

International journal of cancer, 2024-07, Vol.155 (1), p.149 [Peer Reviewed Journal]

2024 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC. ;ISSN: 0020-7136 ;EISSN: 1097-0215 ;DOI: 10.1002/ijc.34911 ;PMID: 38447016

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  • Title:
    Revealing genes associated with cervical cancer in distinct immune cells: A comprehensive Mendelian randomization analysis
  • Author: Li, Ning ; Yi, Huan ; Sun, Wen ; Sundquist, Jan ; Sundquist, Kristina ; Zhang, Xiaoyu ; Zheng, Deqiang ; Ji, Jianguang
  • Subjects: Cancer and Oncology ; Cancer och onkologi ; Clinical Medicine ; Female ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Klinisk medicin ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Uterine Cervical Neoplasms - genetics ; Uterine Cervical Neoplasms - immunology
  • Is Part Of: International journal of cancer, 2024-07, Vol.155 (1), p.149
  • Description: Human papillomavirus can be contracted by sexually active women. However, only a small proportion of these infections persist and have the potential to progress into cervical cancers, indicating a significant involvement of the immune system in cervical cancer development. Despite this, our understanding of the precise contributions of genes from different immune cell types in cervical cancers remains limited. Therefore, the primary objective of our study was to investigate the potential causal relationships between specific immune cell genes and the development of cervical cancers. By accessing expression quantitative trait loci datasets of 14 distinct immune cell types and genome wide association study of cervical cancers, we employed the summary data-based Mendelian randomization (SMR) along with multi-single nucleotide polymorphism (SNP)-based SMR to identify significant genes associated with cervical cancers. Colocalization analysis was further conducted to explore the shared genetic causality. A total of 10 genes across 11 immune cell types (26 significant gene-trait associations) were found to be associated with cervical cancers after false discovery rate correction. Notably, the ORMDL3, BRK1 and HMGN1 gene expression levels showed significant association with cervical cancer in specific immune cell types, respectively. These associations were supported by strong evidence of colocalization analyses. Our study has identified several genes in different immune cells that were associated with cervical cancer. However, further research is necessary to confirm these findings and provide more comprehensive insights into the association between these gene expressions and cervical cancer risk.
  • Publisher: United States
  • Language: English
  • Identifier: ISSN: 0020-7136
    EISSN: 1097-0215
    DOI: 10.1002/ijc.34911
    PMID: 38447016
  • Source: SWEPUB Freely available online
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