Papillary thyroid carcinoma (PTC), the most common form of thyroid carcinomas, is a well-differentiated tumor and accounts for about 80% of all thyroid carcinomas. With the advantage of providing comprehensively analysis of global proteins in samples, proteomics techniques are increasingly applied in the field of identifying novel biomarkers in thyroid cancer. In this study, we conducted a TMT labeling-based quantitative proteomics analysis and bioinformatics analysis to compare the alternation of global proteins in tumor tissues and para-tumor tissues between PTC with LNM and without LNM.