癌症研究
领域(数学分析)
生物
核酸酶
遗传学
计算生物学
癌症
基因
数学
数学分析
作者
Xiaoteng Cui,Xinxin Zhang,Minghui Liu,Chunyan Zhao,Nan Zhang,Yuanyuan Ren,Chao Su,Wei Zhang,Xiaoming Sun,Jinyan He,Xingjie Gao,Jie Yang
出处
期刊:Genomics
[Elsevier]
日期:2020-07-06
卷期号:112 (6): 3958-3967
被引量:115
标识
DOI:10.1016/j.ygeno.2020.06.044
摘要
Although emerging cell- or animal-based evidence supports the relationship between SND1 and cancers, no pan-cancer analysis is available. We thus first explored the potential oncogenic roles of SND1 across thirty-three tumors based on the datasets of TCGA (The cancer genome atlas) and GEO (Gene expression omnibus). SND1 is highly expressed in most cancers, and distinct associations exist between SND1 expression and prognosis of tumor patients. We observed an enhanced phosphorylation level of S426 in several tumors, such as breast cancer or lung adenocarcinoma. SND1 expression was associated with the CD8+T-cell infiltration level in colon adenocarcinoma and melanoma, and cancer-associated fibroblast infiltration was observed in other tumors, such as bladder urothelial carcinoma or testicular germ cell tumors. Moreover, protein processing- and RNA metabolism-associated functions were involved in the functional mechanisms of SND1. Our first pan-cancer study offers a relatively comprehensive understanding of the oncogenic roles of SND1 across different tumors.
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