Evidence map›Paper›PMID 42750388›Full record

ArticleJournal of clinical laboratory analysis2026

Improving the Accuracy of Papillary Thyroid Cancer Pathological Evaluation With Digital PCR Detection of the BRAF V600E Mutation.

Na Yu, Kai Zhang, Ying Jiang, Liang Zheng, Xiu He, Qinglin He, Meng Dai, Tianhua Hu, Dongfang Tang, Jingjing Jin and 2 more

Abstract read
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Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Na YuDepartment of Pathology, Huadong Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0003-3733-1401
Kai ZhangDepartment of General Practice, Huadong Hospital, Fudan University, Shanghai, China.
Ying JiangMission Medical Technologies, Yuyao, Zhejiang Province, China.
Liang ZhengMission Medical Technologies, Yuyao, Zhejiang Province, China.
Xiu HeMission Medical Technologies, Yuyao, Zhejiang Province, China.ORCID https://orcid.org/0009-0008-7822-4027
Qinglin HeZhejiang University-University of Edinburgh Institute, Hangzhou, Zhejiang Province, China.
Meng DaiInstitute of Pathology, University Medical Center Rostock, Rostock, Germany.
Tianhua HuDepartment of General Surgery, Huadong Hospital, Fudan University, Shanghai, China.
Dongfang TangDepartment of Thoracic Surgery, Huadong Hospital, Fudan University, Shanghai, China.
Jingjing JinDepartment of Pathology, Huadong Hospital, Fudan University, Shanghai, China.
Xin HuangMission Medical Technologies, Yuyao, Zhejiang Province, China.
Li XiaoDepartment of Pathology, Huadong Hospital, Fudan University, Shanghai, China.

Funding

Clinical Research Fund of Huadong Hospital HDLC2022012the National Natural Science Foundation of China 62203117Yongjiang Talent Team project from the Department of Science and Technology of Ningbo 2023A-094-BZhejiang Province Science and Technology Innovation Team program project 2021R02020
6 · The paper itself

Abstract

backgroundThe BRAF V600E mutation is an important diagnostic factor for papillary thyroid cancer (PTC). Digital PCR (dPCR) is a relatively new technology featured with extremely high sensitivity. This study aims to evaluate the performance of dPCR in detecting BRAF V600E mutations in PTC diagnosis.

methodsA total of 252 thyroid samples were collected in this retrospective diagnostic accuracy study. Diagnosis was made by a pathologist following histopathological guidelines. The BRAF V600E mutation was detected by dPCR and the results were compared with calls from amplification refractory mutation system PCR (ARMS-PCR) tests. Discrepant samples were evaluated again by two pathologists, and the presence of mutations was further confirmed by next generation sequencing (NGS). McNemar's test was used for paired categorical data in statistical analysis.

resultsTest results from dPCR and ARMS-PCR assays were in total agreement for PTC tumor and benign thyroid tissues. However, dPCR assays detected BRAF V600E mutations in four tumor-adjacent normal tissues, one lymph node sample, and two fine-needle aspirate (FNA) samples that were negative in ARMS-PCR tests, all with low frequencies of BRAF V600E mutations. When pathology results were used as the standard, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of dPCR assay were all 100% for tissue and FNA samples, while those of ARMS-PCR assay were 91.2%, 100%, 100%, 96.1%, and 92.9%, 100%, 100%, 95.7% for tissue and FNA samples, respectively.

conclusionsOur data demonstrate that dPCR is a highly valuable tool for PTC molecular pathology.

Indexed as

BRAF V600Edigital PCRpapillary thyroid cancerpathological diagnosis

Identifiers

PMID42750388
PMCPMC13583474

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