Metastasis of HPV-negative oral cavity tumors: an in silico study

M. Pretti, M. Boroni, N. Scherer, Frederico Gleber, I. Silva, D. Nunes, Jaqueline Ramalho, E. D. Neto, M. Bonamino
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引用次数: 0

Abstract

Methodology: 20 samples from a collaborator’s cohort (AC Camargo ACC) and 22 samples from The Cancer Genome Atlas (TCGA) were analyzed. The raw data from ACC was filtered and quality checked using FastQC and Trimmomatic, respectively. The ACC reads were then aligned against the human genome GRCh38 using star method and genes were counted with RSEM package. TCGA cohort already possess pre-processed data. Differentially expressed genes were evaluated by DESeq2, the enriched pathways by Webgestalt and tumor microenvironment by xCell. Exclusively for the TCGA available data, the HLA-I alleles were identified by Optitype and subsequent neoantigen prediction was accomplished by netMHCpan. T and B-cell receptors (TCR and BCR) repertoire were identified and analyzed by MiXCR.
hpv阴性口腔肿瘤的转移:一项计算机研究
方法:对来自合作者队列(AC Camargo ACC)的20个样本和来自癌症基因组图谱(TCGA)的22个样本进行分析。来自ACC的原始数据分别使用FastQC和Trimmomatic进行过滤和质量检查。然后使用星形法将ACC reads与人类基因组GRCh38进行比对,并使用RSEM包进行基因计数。TCGA队列已经拥有预处理数据。采用DESeq2检测差异表达基因,Webgestalt检测富集通路,xCell检测肿瘤微环境。仅对于TCGA可用数据,hla - 1等位基因由Optitype鉴定,随后的新抗原预测由netMHCpan完成。利用MiXCR对T细胞和b细胞受体(TCR和BCR)库进行鉴定和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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