Interaction of Age at Diagnosis with Transcriptional Profiling in Papillary Thyroid Cancer

Yi Chiung Hsu, Chien Liang Liu, Po Sheng Yang, Chung Hsin Tsai, Jie Jen Lee, Shih Ping Cheng

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: Age is an important prognostic factor for papillary thyroid cancer (PTC). However, little is known about why advanced age is associated with poor prognosis. The study investigated the changes in transcriptional profiling related to age. Methods: RNA sequencing data of PTC samples were retrieved from The Cancer Genome Atlas data portal. Spearman’s correlation was used to test the association between age and gene expression. Correlation in the same direction to disease severity was considered functionally relevant. Functional enrichment analysis and pathway annotations were performed. Results: There was no correlation between age and thyroid-specific genes, except for a weak, negative association between age and TSHR expression. Among 272 genes with a positive association between gene expression and age, the most prominent alteration was metabolic pathways, particularly glycolysis. Among 482 genes with a negative association between gene expression and age, the most enriched biological process was immune-related functions, particularly natural killer cell-mediated cytotoxicity. Conclusions: Our analysis characterized the age-associated molecular landscape in PTC. Metabolic alterations and immune dysregulation are probable mechanisms involving in worse prognosis in older patients with PTC.

Original languageEnglish
Pages (from-to)2922-2929
Number of pages8
JournalWorld Journal of Surgery
Volume40
Issue number12
DOIs
StatePublished - 1 Dec 2016

Fingerprint

Dive into the research topics of 'Interaction of Age at Diagnosis with Transcriptional Profiling in Papillary Thyroid Cancer'. Together they form a unique fingerprint.

Cite this