Genomic landscape of metastatic papillary thyroid carcinoma and novel biomarkers for predicting distant metastasis.
Xiabin LanHua BaoXinyang GeJun CaoXiaojun FanQihong ZhangKaihua LiuXian ZhangZhuo TanChuanming ZhengAo WangChao ChenXin ZhuJiafeng WangJiajie XuXuhang ZhuXue WuXiaonan WangYang ShaoMinghua GePublished in: Cancer science (2020)
Papillary thyroid carcinoma (PTC) is the most common malignancy of the thyroid gland, with a relatively high cure rate. Distant metastasis (DM) of PTC is uncommon, but when it occurs, it significantly decreases the survival of PTC patients. The molecular mechanisms of DM in PTC have not been systematically studied. We performed whole exome sequencing and GeneseeqPrime (425 genes) panel sequencing of the primary tumor, plasma and matched white blood cell samples from 20 PTC with DM and 46 PTC without DM. We identified somatic mutations, gene fusions and copy number alterations and analyzed their relationships with DM of PTC. BRAF-V600E was identified in 73% of PTC, followed by RET fusions (14%) in a mutually exclusive manner (P < 0.0001). We found that gene fusions (RET, ALK or NTRK1) (P < 0.01) and chromosome 22q loss (P < 0.01) were independently associated with DM in both univariate and multivariate analyses. A nomogram model consisting of chromosome 22q loss, gene fusions and three clinical variables was built for predicting DM in PTC (C-index = 0.89). The plasma circulating tumor DNA (ctDNA) detection rate in PTC was only 38.9%; however, it was significantly associated with the metastatic status (P = 0.04), tumor size (P = 0.001) and invasiveness (P = 0.01). In conclusion, gene fusions and chromosome 22q loss were independently associated with DM in PTC and could serve as molecular biomarkers for predicting DM. The ctDNA detection rate was low in non-DM PTC but significantly higher in PTC with DM.
Keyphrases
- copy number
- mitochondrial dna
- circulating tumor
- genome wide
- glycemic control
- lymph node
- squamous cell carcinoma
- small cell lung cancer
- single cell
- chronic kidney disease
- type diabetes
- cell free
- end stage renal disease
- circulating tumor cells
- genome wide identification
- stem cells
- gene expression
- newly diagnosed
- transcription factor
- mesenchymal stem cells
- prognostic factors
- weight loss
- insulin resistance
- tyrosine kinase
- bioinformatics analysis