Transcriptomic profiling and genomic rearrangement landscape of Nigerian prostate cancer

前列腺癌 转录组 仿形(计算机编程) 医学 计算生物学 肿瘤科 生物 生物信息学 内科学 癌症 遗传学 基因 基因表达 计算机科学 操作系统
作者
Yusuph Mavura,Hanbing Song,Jamie Xie,Pablo Tamayo,Mohammed Abdullahi,Ahmad Tijjani Lawal,Ahmad Bello,Sani Ibrahim,Mohammed Faruk,Franklin W. Huang
出处
期刊:The Prostate [Wiley]
卷期号:83 (5): 395-402
标识
DOI:10.1002/pros.24471
摘要

Abstract Background Men of African ancestry have disproportionately high incidence rates of prostate cancer (PCa) and have high mortality rates. While there is evidence for a higher genetic predisposition for incidence of PCa in men of African ancestry compared to men of European ancestry, there have been few transcriptomic studies on PCa in men of African ancestry in the African continent. Objective We performed transcriptomic profiling and fusion analysis on bulk RNA sequencing (RNA‐seq) samples from 24 Nigerian PCa patients to investigate the transcriptomic and genomic rearrangement landscape of PCa in Nigerian men. Design Bulk RNA‐seq was performed on 24 formalin‐fixed paraffin‐embeded (FFPE) prostatectomy specimens of Nigerian men. Transcriptomic analysis was performed on 11 high‐quality samples. Arriba Fusion and STAR Fusion were used for fusion detection. Results 4/11 (36%) of the samples harbored an erythroblast transformation‐specific (ETS) fusion event; 1/11 (9%) had a TMPRSS2‐ERG fusion; 2/11 had a TMPRSS2‐ETV5 fusion, and 1/11 had a SLC45A3‐SKIL fusion. Hierarchical clustering of normalized and mean‐centered gene expression showed clustering of fusion positive samples. Furthermore, we developed gene set signatures for Nigerian PCa based on fusion events. By projecting the cancer genome atlas prostate adenocarcinoma (TCGA‐PRAD) bulk RNA‐seq data set onto the transcriptional space defined by these signatures derived from Nigerian PCa patients, we identified a positive correlation between the Nigerian fusion signature and fusion positive samples in the TCGA‐PRAD data set. Conclusions Less frequent ETS fusion events other than TMPRSS2‐ERG such as TMPRSS2‐ETV5 and non‐ETS fusion events such as SLC45A3‐SKIL may be more common in PCa in Nigerian men. This study provides useful working transcriptomic signatures that characterize oncogenic states representative of specific gene fusion events in PCa from Nigerian men.
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