Evidence map›Paper›PMID 36542267›Full record

ArticleEndocrine2023

Real-life utility of five-gene panel test in preoperative thyroid fine-needle aspiration biopsy: a large cohort of 740 patients study.

Jiajia Tang, Jiaojiao Ma, Xuehua Xi, Liangkai Wang, Huilin Li, Shirui Huo, Bo Zhang

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Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Clinical Implications and Application of Molecular Testing in the Diagnosis and Management of Thyroid Nodules in the Chinese Population.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Observational
  4. Review
  5. Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiajia TangDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China.
Jiaojiao MaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China.
Xuehua XiDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China.
Liangkai WangDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China.
Huilin LiDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China.
Shirui HuoBeijing University of Chinese Medicine, Beijing, 100029, China.
Bo ZhangChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China. thyroidus@163.com.ORCID 0000-0003-3389-5018

Funding

National Natural Science Foundation of China 81971627
6 · The paper itself

Abstract

purposeFine-needle aspiration (FNA) biopsy is an effective method to discriminate malignant thyroid nodules but reaches indeterminate results in approximately 30% of cases. Molecular testing can improve the diagnostic accuracy of FNA. This study aimed to investigate the real-life utility of the five-gene panel testing in thyroid FNAs.

methods759 thyroid nodules from 740 patients under FNAs were retrospectively enrolled. Gene mutation information and clinical parameters, including age, gender, tumor size, and lymph node metastasis, were respectively recorded. Cytological results were classified based on The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). We analyzed mutational hotspots in BRAF, KRAS, NRAS, HRAS, and TERT genes from FNA specimens. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated to assess diagnostic performance.

resultsWe identified 549 five-gene mutations in 759 nodules (72.3%), and the mutation frequency increased from the lower TBSRTC category to the upper category. BRAF.p.V600E showed the highest mutation incidence (71.3%) in the five-gene panel, correlated with the small to medium diameter (p = 0.008, p = 0.012) and high cytological categories (p < 0.001). The sensitivity, specificity, PPV, NPV, and accuracy of the combination of FNA cytology and five-gene detection were 96.83%, 100%, 100%, 42.86%, and 96.90%, respectively.

conclusionsThe mutation frequency of the five-gene panel is 72.3% in thyroid FNAs. BRAF.p.V600E has the highest alteration rate, which is closely associated with tumor size and cytological results. The five-gene panel can improve the sensitivity and accuracy of FNA cytology, which may represent a valid adjunct technique in distinguishing thyroid nodules.

Indexed as

Thyroid NeoplasmsThyroid NoduleBiopsy, Fine-NeedleHumansMutationProto-Oncogene Proteins B-rafRetrospective StudiesProto-Oncogene Proteins B-rafFine-needle aspiration (FNA)Five-gene panelMolecular testPreoperative diagnosisThyroid nodule

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.