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乳腺癌预后标志物SNRPD1的研究

Research on SNRPD1 as a novel breast cancer prognostic marker
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摘要 SNRPD1负责编码一种剪接体蛋白,参与RNA的剪接与加工过程,并可能与癌症的发生发展密切相关。研究通过生物信息学手段与细胞分子实验相结合的方式,揭示SNRPD1在乳腺癌中的作用机制。基于转录组的数据分析发现,与正常组织相比,SNRPD1在癌症中高表达,而通过对不同亚型乳腺癌表达谱分析,发现SNRPD1在恶性最高的三阴型乳腺癌中表达最高。利用基于临床信息的10年生存分析可知,SNRPD1高表达的病人预后更差。相关性功能分析表明,SNRPD1相关基因主要参与细胞增殖过程。通过细胞分子实验,证明降低SNRPD1的表达可导致乳腺癌细胞增殖减慢、细胞增殖特异性蛋白JNK表达下调。研究揭示SNRPD1对乳腺癌病人预后的影响及其细胞与分子层面变化,首次提出SNRPD1作为潜在的乳腺癌预后标志物,为乳腺癌和其他癌症的诊断与治疗提供理论依据。 SNRPD1 is responsible for encodinga protein belonging to the spliceosome family,which is recognized as an essential player in RNA splicing process.It was later found to be implicated in the development of several types of cancer.We used bioinformatics and molecular assays to predict and validate the function of SNRPD1 in breast cancer development.Transcriptome data analysis revealed that higher SNRPD1 expression was observed in tumor tissue compared to normal tissue and SNRPD1 was highly expressed in Triple Negative subtype,the most malignant subtype of breast cancer.Survival analysis confirmed that patients with higher SNRPD1 expression exhibits worse survival rate and higher relapse probability.Correlation analysis showed that SNRPD1 co-expressing genes are majorly involved in cell proliferation pathway and cell division process.Molecular assays confirmed silencing SNRPD1 will lead to reduced cell proliferation and under-regulated JNK expression.Our study revealed the function of SNRPD1 in breast cancer development and proposes SNRPD1 as a potential breast cancer prognostic marker,which can deliver valuable insights for breast cancer clinical treatment.
作者 陈霄 戴晓峰 CHEN Xiao;DAI Xiaofeng(School of Biotechnology,Jiangnan University,Wuxi 214122,China;Wuxi School of Medicine,Jiangnan University,Wuxi 214122,China)
出处 《生物学杂志》 CAS CSCD 北大核心 2021年第3期57-62,共6页 Journal of Biology
基金 国家自然科学基金面上项目(No.81972789) 国家科学技术重点项目(No.2018ZX10302205-004-002) 江苏省六大人才高峰项目(No.SWYY-128) 无锡科技发展基金(No.WX18IVJN017) 江苏省研究生科研与实践创新计划项目(No.KYCX18-1805)。
关键词 乳腺癌 细胞增殖 生物信息学 剪接体蛋白 basal breast cancer cell proliferation bioinformatics spliceosome
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