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논문 기본 정보

자료유형
학술저널
저자정보
Jo Se-Young (Yonsei University College of Medicine) Hong Namki (Yonsei University College of Medicine) Lee Seunghyun (Yonsei University College of Medicine) Jeong Jong Ju (Yonsei University College of Medicine) Won Jeongsoo (Yonsei University College of Medicine) Park Jiho (Yonsei University College of Medicine) Kim Gi Jeong (Yonsei University College of Medicine) Kim Sang Kyum (Yonsei University College of Medicine) Kim Sangwoo (Yonsei University College of Medicine) Rhee Yumie (Yonsei University College of Medicine)
저널정보
대한생화학·분자생물학회 Experimental and Molecular Medicine Experimental and Molecular Medicine 제55권
발행연도
2023.5
수록면
1 - 12 (12page)
DOI
10.1038/s12276-023-00968-4

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Genomic and transcriptomic profiling has enhanced the diagnostic and treatment options for many cancers. However, the molecular characteristics of parathyroid cancer remain largely unexplored, thereby limiting the development of new therapeutic interventions. Herein, we conducted genomic and transcriptomic sequencing of 50 parathyroid tissues (12 carcinomas, 28 adenomas, and 10 normal tissues) to investigate the intrinsic and comparative molecular features of parathyroid carcinoma. We confirmed multiple two-hit mutation patterns in cell division cycle 73 (CDC73) that converged to biallelic inactivation, calling into question the presence of a second hit in other genes. In addition, allele-specific repression of CDC73 in copies with germline-truncating variants suggested selective pressure prior to tumorigenesis. Transcriptomic analysis identified upregulation of the expression of E2F targets, KRAS and TNF-alpha signaling, and epithelial-mesenchymal transition pathways in carcinomas compared to adenomas and normal tissues. A molecular classification model based on carcinoma-specific genes clearly separated carcinomas from adenomas and normal tissues, the clinical utility of which was demonstrated in two patients with uncertain malignant potential. A deeper analysis of gene expression and functional prediction suggested that Wilms tumor 1 (WT1) is a potential biomarker for CDC73-mutant parathyroid carcinoma, which was further validated through immunohistochemistry. Overall, our study revealed the genomic and transcriptomic profiles of parathyroid carcinoma and may help direct future precision diagnostic and therapeutic improvements.

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