Evidence map›Paper›PMID 40075389›Full record

ArticleCancer cell international2025

Primary exploration of cell-free DNA in the plasma of patients with parathyroid neoplasms using next-generation sequencing.

Qingyuan Zheng, Ming Cui, Ou Wang, Xiaoyan Chang, Jinheng Xiao, Tianqi Chen, Mengyi Wang, Surong Hua, Ya Hu, Quan Liao

Abstract read
In one paragraph

Article in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Qingyuan Zheng *Department of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Ming Cui *Department of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Ou WangDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Xiaoyan ChangKey Laboratory of Endocrinology of the Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100032, China.
Jinheng XiaoDepartment of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Tianqi ChenBiomedical Engineering Facility, Institute of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Mengyi WangDepartment of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Surong HuaDepartment of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Ya HuDepartment of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China. huyafrank@sohu.com.
Quan LiaoDepartment of General Surgery, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China. lqpumc@126.com.

Funding

the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2021⁃I2M⁃1⁃002the National High Level Hospital Clinical Research Funding 2022-PUMCH-B-003
6 · The paper itself

Abstract

BACKGROUND AND

aimsPlasma cell-free DNA (cfDNA) has been used to monitor gene mutations and diagnose tumors. Discriminating parathyroid carcinoma (PC) from parathyroid adenoma (PA) before surgery is difficult because of the overlap in clinical features between parathyroid neoplasms. We aimed to detect cfDNA mutations in plasma samples from PC and PA patients before surgery to predict the CDC73 status in tumor tissue and help in the differential diagnosis of parathyroid neoplasms. MATERIALS AND

methodsEighteen PC patients and 13 PA patients were enrolled. Plasma cfDNA was detected using next-generation sequencing, with DNA from matched peripheral white blood cells used as a control. CDC73 gene mutations were detected via whole-exome sequencing or parafibromin staining via immunohistochemistry of tumor tissues. Logistic regression was used to evaluate the ability of cfDNA mutations to predict the CDC73 status in tumor tissue and for differential diagnosis. CDC73 gene mutation or parafibromin staining loss were defined as CDC73 abnormalities.

resultsOne PC patient was not tested for CDC73 abnormalities due to the absence of tumor specimen. CDC73 abnormalities were not detected in all 13 PA patients, whereas 10 PC patients harboured CDC73 abnormalities in tumor specimens (P = 0.001). Among the 10 patients, CDC73 mutations were identified in the cfDNA of 8 patients. In another 20 patients without CDC73 abnormalities in tumors, CDC73 mutation was detected in the cfDNA of 4 patients. Using the CDC73 status in cfDNA, the area under the receiver operating characteristic curve (AUC) for predicting CDC73 abnormalities in tumor tissue was 0.80 (95% CI: 0.622-0.978), and the AUC for predicting malignancy was 0.795 (95% CI 0.632-0.958).

conclusionThis study is the first attempt to evaluate the gene mutation status of parathyroid neoplasms through the deep sequencing of plasma cfDNA, which could also help to identify PC prior to surgery.

Indexed as

Cell-free DNANext-generation sequencingParathyroid adenomaParathyroid carcinoma

Identifiers

PMID40075389
PMCPMC11905564

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