Immunogenetic Profiles and Associations of Breast, Cervical, Ovarian, and Uterine Cancers.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Lisa M James, Apostolos P Georgopoulos
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引用次数: 3

Abstract

It is increasingly recognized that the human immune response influences cancer risk, progression, and survival; consequently, there is growing interest in the role of human leukocyte antigen (HLA), genes that play a critical role in initiating the immune response, on cancer. Recent evidence documented clustering of cancers based on immunogenetic profiles such that breast and ovarian cancers clustered together as did uterine and cervical cancers. Here we extend that line of research to evaluate the HLA profile of those 4 cancers and their associations. Specifically, we evaluated the associations between the frequencies of 127 HLA alleles and the population prevalences of breast, ovarian, cervical, and uterine cancer in 14 countries in Continental Western Europe. Factor analysis and hierarchical clustering were used to evaluate groupings of cancers based on their immunogenetic profiles. The results documented highly similar immunogenetic profiles for breast and ovarian cancers that were characterized predominantly by protective HLA effects. In addition, highly similar immunogenetic profiles for cervical and uterine cancers were observed that were, conversely, characterized by susceptibility effects. In light of the role of HLA in host immune system protection against non-self antigens, these findings suggest that certain cancers may be associated with similar contributory factors such as viral oncoproteins or neoantigens.

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乳腺癌、子宫颈癌、卵巢癌和子宫癌的免疫遗传特征和关联。
越来越多的人认识到,人类免疫反应影响癌症的风险、进展和生存;因此,人们对人类白细胞抗原(HLA)的作用越来越感兴趣,这些基因在启动免疫反应中起着关键作用。最近的证据表明,基于免疫遗传谱的癌症聚集在一起,例如乳腺癌和卵巢癌以及子宫癌和宫颈癌聚集在一起。在这里,我们扩展了这条研究线,以评估这4种癌症及其相关性的HLA谱。具体来说,我们评估了西欧大陆14个国家127个HLA等位基因的频率与乳腺癌、卵巢癌、宫颈癌和子宫癌人群患病率之间的关系。因子分析和分层聚类被用于评估基于免疫遗传学特征的癌症分组。结果表明,乳腺癌和卵巢癌的免疫遗传谱高度相似,其主要特征是HLA的保护性作用。此外,观察到宫颈癌和子宫癌高度相似的免疫遗传谱,相反,其特点是易感性效应。鉴于HLA在宿主免疫系统对非自身抗原的保护中的作用,这些发现表明某些癌症可能与类似的促成因素有关,如病毒癌蛋白或新抗原。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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