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Peptidomics Unveils Distinct Acetylation Patterns of Histone and Annexin A1 in Differentiated Thyroid Cancer.

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International journal of molecular sciences 📖 저널 OA 100% 2021: 8/8 OA 2022: 38/38 OA 2023: 49/49 OA 2024: 103/103 OA 2025: 453/453 OA 2026: 454/454 OA 2021~2026 2023 Vol.25(1)
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Coelho M, Capela J, Mendes VM, Pacheco J, Fernandes MS, Amendoeira I, Jones JG, Raposo L, Manadas B

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Thyroid cancer is a common malignancy of the endocrine system.

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APA Coelho M, Capela J, et al. (2023). Peptidomics Unveils Distinct Acetylation Patterns of Histone and Annexin A1 in Differentiated Thyroid Cancer.. International journal of molecular sciences, 25(1). https://doi.org/10.3390/ijms25010376
MLA Coelho M, et al.. "Peptidomics Unveils Distinct Acetylation Patterns of Histone and Annexin A1 in Differentiated Thyroid Cancer.." International journal of molecular sciences, vol. 25, no. 1, 2023.
PMID 38203548 ↗

Abstract

Thyroid cancer is a common malignancy of the endocrine system. Nodules are routinely evaluated for malignancy risk by fine needle aspiration biopsy (FNAB), and in cases such as follicular lesions, differential diagnosis between benign and malignant nodules is highly uncertain. Therefore, the discovery of new biomarkers for this disease could be helpful in improving diagnostic accuracy. Thyroid nodule biopsies were subjected to a precipitation step with both the insoluble and supernatant fractions subjected to proteome and peptidome profiling. Proteomic analysis identified annexin A1 as a potential biomarker of thyroid cancer malignancy, with its levels increased in malignant samples. Also upregulated were the acetylated peptides of annexin A1, revealed by the peptidome analysis of the supernatant fraction. In addition, supernatant peptidomic analysis revealed a number of acetylated histone peptides that were significantly elevated in the malignant group, suggesting higher gene transcription activity in malignant tissue. Two of these peptides were found to be robust malignancy predictors, with an area under the receiver operating a characteristic curve (ROC AUC) above 0.95. Thus, this combination of proteomics and peptidomics analyses improved the detection of malignant lesions and also provided new evidence linking thyroid cancer development to heightened transcription activity. This study demonstrates the importance of peptidomic profiling in complementing traditional proteomics approaches.

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