首页> 外文期刊>Scientific reports. >Identification of cancer risk lncRNAs and cancer risk pathways regulated by cancer risk lncRNAs based on genome sequencing data in human cancers
【24h】

Identification of cancer risk lncRNAs and cancer risk pathways regulated by cancer risk lncRNAs based on genome sequencing data in human cancers

机译:基于人类癌症基因组测序数据的癌症风险LNCRNA鉴定癌症风险和癌症风险途径

获取原文
           

摘要

Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. The complexity of cancer can be reduced to a small number of underlying principles like cancer hallmarks which could govern the transformation of normal cells to cancer. Besides, the growth and metastasis of cancer often relate to combined effects of long non-coding RNAs (lncRNAs). Here, we performed comprehensive analysis for lncRNA expression profiles and clinical data of six types of human cancer patients from The Cancer Genome Atlas (TCGA), and identified six risk pathways and twenty three lncRNAs. In addition, twenty three cancer risk lncRNAs which were closely related to the occurrence or development of cancer had a good classification performance for samples of testing datasets of six cancer datasets. More important, these lncRNAs were able to separate samples in the entire cancer dataset into high-risk group and low-risk group with significantly different overall survival (OS), which was further validated in ten validation datasets. In our study, the robust and effective cancer biomarkers were obtained from cancer datasets which had information of normal-tumor samples. Overall, our research can provide a new perspective for the further study of clinical diagnosis and treatment of cancer.
机译:癌症是一组涉及异常细胞生长的疾病,可能侵入或蔓延到身体的其他部位。癌症的复杂性可以减少到少数癌症标志等潜在原则,这可以控制正常细胞对癌症的转化。此外,癌症的生长和转移通常涉及长期非编码RNA(LNCRNA)的组合作用。在这里,我们对来自癌症基因组地图集(​​TCGA)的六种类型的人类癌症患者的LNCrNA表达谱和临床数据进行了综合分析,并确定了六种风险途径和二十三个LNCRNA。此外,与癌症发生或发育密切相关的二十三个癌症风险LNCRNA对于六种癌症数据集的测试数据集的样本具有良好的分类性能。更重要的是,这些LNCRNA能够将整个癌症数据集中的样本分离为高风险组和低风险组,具有显着不同的整体生存(OS),其在十个验证数据集中进一步验证。在我们的研究中,从具有正常肿瘤样本信息的癌症数据集获得了稳健和有效的癌症生物标志物。总体而言,我们的研究可以为进一步研究癌症的临床诊断和治疗来提供一种新的视角。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号