期刊
ONCOTARGET
卷 8, 期 67, 页码 111551-111566出版社
IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.22873
关键词
thyroid carcinoma; bioinformatics; dysregulation network; biomarker
资金
- National Key R&D Program of China [2017YFC1103704]
- Sanming Project of Medicine in Shenzhen [SZSM201412020]
- Fund for High Level Medical Discipline Construction of Shenzhen [2016031638]
- Shenzhen Foundation of Science and Technology [JCJY20160229204849975, GJHZ20170314171357556, JCYJ20160229204849975, GCZX2015043017281705]
- Shenzhen Foundation of Health and Family Planning Commission [SZXJ2017021]
- National Natural Science Foundation of China [31601063]
- Science and Technology Planning Project of Guangdong Province, China [2016A020226025]
Thyroid carcinoma (THCA) is the most universal endocrine malignancy worldwide. Unfortunately, a limited number of large-scale analyses have been performed to identify biomarkers for THCA. Here, we conducted a meta-analysis using 505 THCA patients and 59 normal controls from The Cancer Genome Atlas. After identifying differentially expressed long non-coding RNA (lncRNA) and protein coding genes (PCG), we found vast difference in various lncRNA-PCG co-expressed pairs in THCA. A dysregulation network with scale-free topology was constructed. Four molecules (LA16c-380H5.2, RP11-203J24.8, MLF1 and SDC4) could potentially serve as diagnostic biomarkers of THCA with high sensitivity and specificity. We further represent a diagnostic panel with expression cutoff values. Our results demonstrate the potential application of those four molecules as novel independent biomarkers for THCA diagnosis.
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