4.3 Article

RNA-sequencing investigation identifies an effective risk score generated by three novel lncRNAs for the survival of papillary thyroid cancer patients

期刊

ONCOTARGET
卷 8, 期 43, 页码 74139-74158

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.18274

关键词

papillary thyroid cancer; lncRNA; prognosis; AC079630.2; CRNDE

资金

  1. Guangxi Scientific Research and Technology Development Plan [1598011-4]
  2. National Natural Science Foundation of China [NSFC 81560448]
  3. Guangxi Medical University Training Program for Distinguished Young Scholars
  4. Guangxi Health Bureau Research Project [Z2012053]

向作者/读者索取更多资源

Scholars are striving to apply molecular biology involving long non-coding RNA (lncRNA) in the prognostication of papillary thyroid cancer (PTC). However, the clinical role of lncRNAs in the prognostic setting of PTC is still unclear. Herein, a comprehensive inquiry was performed to screen lncRNA expression profiling with 507 PTC patients from The Cancer Genome Atlas RNA-sequencing datasets. A total of 734 lncRNAs were detected to be aberrantly expressed, among which three novel lncRNAs including AC079630.2, CRNDE and CTD-2171N6.1 were markedly related to the progression and survival of PTC. Furthermore, the aberrant expression of these lncRNAs could be verified by other cohorts from gene expression omnibus (GEO) as detected by microarrays. Next, we established a three-lncRNA signature and divided the PTC patients into two subgroups of high-and low-risk. Interestingly, patients with high-risk tended to gain obviously poorer outcome. Most importantly, this three-lncRNA signature was an independent biomarker to predict the patient survival of PTC. The accurate molecular roles of these three lncRNAs remains unclarified and warrants further characterization, but our current data propose that they might play pivotal roles in PTC tumorigenesis and more importantly, these novel lncRNAs are closely related to patients' survival. These discoveries will have far-reaching consequences with respect to molecular prediction of PTC.

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