Oncogene or tumor suppressor? Long noncoding RNAs role in patient's prognosis varies depending on disease type.
Oncogene or tumor suppressor? Long noncoding RNAs role in patient's prognosis varies depending on disease type.
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DOI:
10.1016/j.trsl.2020.10.011
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发表时间:
2021-04
期刊:
影响因子:
--
通讯作者:
Huang RS
中科院分区:
文献类型:
--
作者:
Huang Y;Ling A;Pareek S;Huang RS
Functional studies of long noncoding RNAs (lncRNAs) are often performed in the context of only a single cancer type. However, the tissue-specific expression patterns of lncRNAs raise the question of whether lncRNA associations identified in one cancer type are relevant to other cancer types. Here, we examine the relationships between the expression levels of 50 cancer related lncRNAs and survival data from 24 types of cancer in The Cancer Genome Atlas (TCGA) with the goal of identifying prognosis related lncRNAs. Our results suggest that high expression levels of certain lncRNAs are consistently associated with worse/better survival in a number of cancers, while other lncRNAs have different prognostic roles in different types of cancer. Our analysis also identifies 20 novel unadjusted associations that have not been reported before. In addition, in low-grade glioma (LGG), prognostic related lncRNAs are identified after conditioning on known clinical biomarker and common therapy, revealing that 2 lncRNAs, FOXP4-AS1 and NEAT1, are associated with temozolomide response—a standard-of-care in LGG. Pathway analysis suggests NF-kB/STAT3 signaling pathway enrichment in LGG patients with high NEAT1 expression and DNA repair/myc gene set enrichment in LGG patients with high expression of FOXP4-AS1. Our work demonstrates the context dependency of lncRNAs across cancer types and highlights a number of lncRNAs as potential novel cancer prognosis markers.
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影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
3.8
作者:
Anaya, Jordan
通讯作者:
Anaya, Jordan
影响因子:
8.5
作者:
Li, Juan;Lian, Yifan;Wang, Keming
通讯作者:
Wang, Keming
影响因子:
9.7
作者:
Jia, Peng;Cai, Heng;Xue, Yixue
通讯作者:
Xue, Yixue
DOI:
10.3988/jcn.2019.15.1.1
发表时间:
2019-01
期刊:
Journal of clinical neurology (Seoul, Korea)
影响因子:
--
作者:
Chammas M;Saadeh F;Maaliki M;Assi H
通讯作者:
Assi H