Identification of Potential Biomarkers in Papillary Thyroid Carcinoma Based on Proteomics

Yu Sun, Jiaxuan Sun, Xiaona Gao, Tiefeng Shi, Maoqing Wang · 2024

Read Identification of Potential Biomarkers in Papillary Thyroid Carcinoma Based on Proteomics by Yu Sun, Jiaxuan Sun, Xiaona Gao, Tiefeng Shi, Maoqing Wang (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11542476.txt.

Description

Yu Sun and co-authors search for protein markers of papillary thyroid carcinoma, the most common thyroid cancer. The study draws on five patients, comparing cancer tissue with nearby normal thyroid tissue from each. A tagging method called TMT proteomics measures thousands of proteins at once. The team then flags proteins whose levels differ between the paired tissues and annotates what they do.

In total, 639 proteins differ: 278 run higher in cancer and 361 run lower. Six of the higher proteins stand out as potential specific markers for this cancer. The authors argue these proteins and their pathways may reveal how the disease develops. The findings offer candidate markers for later validation in larger patient groups.

Catalog record

CREATORYu Sun, Jiaxuan Sun, Xiaona Gao, Tiefeng Shi, Maoqing Wang
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE46 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11542476

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