Programmatically Efficient Separation of Immune Infiltrate and Tumor Gene Expression Overlap Potentials in a Big Data Setting: FASLG Gene Expression-related Survival Distinctions

在大数据环境下,通过程序化方法高效分离免疫浸润和肿瘤基因表达重叠的可能性:FASLG基因表达相关的生存区分

阅读:1

Abstract

BACKGROUND/AIM: Typically expressed on T-cells and NK cells, FASLG induces apoptosis in target cells upon binding Fas. However, assessing potential FASLG expression in tumor cells with convenient genomics approaches has been challenging. MATERIALS AND METHODS: This study applied a novel assessment of FASLG copy numbers (CNs) and gene expression levels, applicable to bulk exome and RNAseq files. RESULTS: Analyses indicated high FASLG CN associated with worse survival outcomes. Interestingly, higher FASLG gene expression was found to be associated with better survival outcomes, which led to a determination of whether this result was due to FASLG expression from tumor-infiltrating lymphocytes (TILs) instead of cancer cells demonstrating the higher CNs. In fact, T-cell markers CD4 and CD8A highly correlated with FASLG expression, consistent with the hypothesis that the high FASLG expression was associated with the TILs. Subsequent analyses confirmed that CN increases led to increased gene expression in the genomic region of the FASLG gene, particularly with an assessment of the expression of the neighboring PRRC2C gene. In sum, FASLG CN assessments, even independently of a corresponding gene expression correlation, may provide important characterizations of tumor cells. CONCLUSION: This study indicates that FASLG CN increases could represent a mechanism of tumor escape from TILs and a prognostic indicator; and tumor FASLG may be a suitable drug target for reducing tumor evasion of T-cells.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。