Detection and Identification of Serum Peptides Biomarker in Papillary Thyroid Cancer

Abstract

BackgroundPapillary thyroid cancer (PTC) is currently the most commonly diagnosed endocrine malignancy. In addition, the sex- and age-adjusted incidence of PTC has exhibited a greater increase over the last 2 decades than in many other malignancies. Thus, discovering noninvasive specific serum biomarker to distinguish PTC from cancer-free controls in its early stages remains an important goal.Material/MethodsSerum samples from 88 PTC patients and 80 cancer-free controls were randomly allocated into training or validation sets. Serum peptide profiling was performed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS) after using weak cation exchange magnetic beads (WCX-MB), and the results were evaluated by use of ClinProTools™ Software. To distinguish PTC from cancer-free controls, quick classifier (QC), supervised neural network (SNN), and genetic algorithm (GA) models were established. The models were blindly validated to verify their diagnostic capabilities. The most discriminative peaks were subsequently identified with a nano-liquid chromatography-electrospray ionization-tandem mass spectrometry system.ResultsSix peptide ions were identified as the most discriminative peaks between the PTC and cancer-free control samples. The QC model exhibited satisfactory sensitivity and specificity among the 3 models that were validated. Two peaks, at m/z 2671.17 and m/z 1464.68, were identified as fragments of the alpha chain of fibrinogen, while a peak at m/z 1738.92 was a fragment of complement component 4A/B.ConclusionsMS combined with ClinProTools™ software was able to detect peptide biomarkers in PTC patients. In addition, the constructed classification models provided a serum peptidome pattern for distinguishing PTC from cancer-free controls. Both fibrinogen α and complement C4A/B were identified as potential markers for diagnosis of PTC.

<p>The Blood Biomarkers of Thyroid Cancer</p>

“…At the same time, fibrinogen α and complement C4A/B are considered potential markers for diagnosis of PTC. 15…”

MALDI-TOF-MS Analysis in the Identification of Urine Proteomic Patterns of Gestational Trophoblastic Disease

“…Protein-peptide profiling of urine samples was proposed in our study as a potential way to improve the management of patients with GTN. Urinary proteomics has great potential for use in the discovery of biomarkers of various diseases including neoplastic processes, such as prostate, lung, and thyroid cancers [ 14 , 15 , 16 ]. Urine contains enough proteins and peptides for analysis and thus is one of the most attractive bio fluids in clinical proteomics [ 17 ].…”

“…Based on the knowledge that various combinations of biomarkers can increase the sensitivity and specificity of detection [ 16 , 18 ], we used different algorithms to generate combinations of peptide peaks. Our three classification models were genetic algorithm (GA), supervised neural network (SNN), and quick classifier (QC).…”

Progress in Research on 5-HTTLPR under Stress and Thyroid Papillary Carcinoma

“…It is often poor in patients with distant metastasis, and the 10-year survival rate can even drop to about 10% [13]. Therefore, early diagnosis of PTC and finding excellent tumor metastasis markers have been one of the hotspots of PTC research [14]. Foreign scholars report that the prognosis of PTC is related to factors such as 5-HTTLPR under stress state in patients with papillary thyroid carcinoma [15].…”