Biomarker Discovery for Early Diagnosis of Papillary Thyroid Carcinoma Using High-Throughput Enhanced Quantitative Plasma Proteomics.
Hongsheng LuYin PanYanyun RuanChumeng ZhuHozeifa M HassanJunshun GaoJunli GaoLilong FanXi LiangHong WangShenpeng YingQi ChenPublished in: Journal of proteome research (2023)
The incidence of thyroid cancer (TC) has been increasing over the last 50 years worldwide. A higher rate of overdiagnosis in indolent thyroid lesions has resulted in unnecessary treatment. An accurate detection of TC at an early stage is highly demanded. We aim to develop an enhanced isobaric labeling-based high-throughput plasma quantitative proteomics to identify biomarkers in a discovery cohort. Selected candidates were tested by enzyme-linked immunosorbent assay (ELISA) in the training cohort and validation cohort. In total, 1063 proteins were quantified, and 129 proteins were differentially expressed between patients and healthy subjects. Serum levels of ISG15 and PLXNB2 were significantly elevated in patients with papillary thyroid cancer (PTC) or thyroid adenoma, compared to healthy subjects ( p < 0.001) and patients with nodular goiter ( p < 0.001). Receiver operating characteristic (ROC) analysis of combined markers (ISG15 and PLXNB2) significantly distinguished PTC from healthy control (HC) subjects. Similar differentiations were also found between thyroid adenoma and HC subjects. Notably, this combined marker could distinguish stage-I PTC from HC subjects (area under the curve (AUC) = 0.872). Our results revealed that ISG15 and PLXNB2 are independent diagnostic biomarkers for PTC and thyroid adenoma, showing a promising value for the early detection of PTC.
Keyphrases
- high throughput
- single cell
- early stage
- end stage renal disease
- high resolution
- label free
- mass spectrometry
- ejection fraction
- small molecule
- chronic kidney disease
- peritoneal dialysis
- lymph node metastasis
- risk factors
- radiation therapy
- patient reported outcomes
- patient reported
- rectal cancer
- virtual reality
- smoking cessation
- quantum dots