Gonzalez-Bosquet Jesus, Pedra-Nobre Silvana, Devor Eric J, Thiel Kristina W, Goodheart Michael J, Bender David P, Leslie Kimberly K
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Cancers (Basel). 2021 Mar 5;13(5):1109. doi: 10.3390/cancers13051109.
Bacteria, archaea, and viruses are associated with numerous human cancers. To date, microbiome variations in transcription have not been evaluated relative to upper female genital tract cancer risk. Our aim was to assess differences in bacterial, archaea, and viral transcript (BAVT) expression between different gynecological cancers and normal fallopian tubes. In this case-control study we performed RNA sequencing on 12 normal tubes, 112 serous ovarian cancers (HGSC) and 62 endometrioid endometrial cancers (EEC). We used the algorithm to classify resultant transcripts into four indexes: bacterial, archaea, viral, and human genomes. We then compared BAVT expression from normal samples, HGSC and EEC. -test was used for univariate comparisons (correcting for multiple comparison) and for multivariate modelling. For validation we performed DNA sequencing of normal tubes in comparison to HGSC and EEC BAVTs in the TCGA database. Pathway analyses were carried out to evaluate the function of significant BAVTs. Our results show that BAVT expression levels vary between different gynecological cancers. Finally, we mapped some of these BAVTs to the human genome. Numerous map locations were close to regulatory genes and long non-coding RNAs based on the pathway enrichment analysis. BAVTs may affect gynecological cancer risk and may be part of potential targets for cancer therapy.
细菌、古菌和病毒与多种人类癌症相关。迄今为止，尚未针对上女性生殖道癌症风险评估微生物组转录方面的差异。我们的目的是评估不同妇科癌症与正常输卵管之间细菌、古菌和病毒转录本（BAVT）表达的差异。在这项病例对照研究中，我们对12条正常输卵管、112例浆液性卵巢癌（HGSC）和62例子宫内膜样子宫内膜癌（EEC）进行了RNA测序。我们使用该算法将所得转录本分类为四个指标：细菌、古菌、病毒和人类基因组。然后，我们比较了正常样本、HGSC和EEC的BAVT表达。采用t检验进行单变量比较（校正多重比较），采用 进行多变量建模。为了进行验证，我们在TCGA数据库中对正常输卵管与HGSC和EEC的BAVT进行了DNA测序比较。进行通路分析以评估显著BAVT的功能。我们的结果表明，不同妇科癌症之间的BAVT表达水平存在差异。最后，我们将其中一些BAVT映射到人类基因组。基于通路富集分析，许多映射位置靠近调控基因和长链非编码RNA。BAVT可能影响妇科癌症风险，可能是癌症治疗潜在靶点的一部分。
