Evidence map›Paper›PMID 37572175›Full record

ArticleEndocrine pathology2023

A Combination of BRAF and EZH1/SPOP/ZNF148 Three-Gene Mutational Classifier Improves Benign Call Rate in Indeterminate Thyroid Nodules.

Shichen Xu, Gangming Cai, Yun Zhu, Xiaobo Gu, Jing Wu, Xian Cheng, Jiandong Bao, Huixin Yu, Li Zhang

Abstract read
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In one paragraph

Article in Endocrine pathology, 2023. 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

What it found

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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.

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

9 authors at 1 institution in 1 country.

Shichen XuNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China.
Gangming CaiClinical Molecular Biology Laboratory, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi , Jiangsu, 214063, China.
Yun ZhuDepartment of Pathology, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi , Jiangsu, 214063, China.
Xiaobo GuClinical Molecular Biology Laboratory, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi , Jiangsu, 214063, China.
Jing WuNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China.
Xian ChengNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China.
Jiandong BaoNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China.
Huixin YuNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China.
Li ZhangNHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, 20 Qian Rong Road, Wuxi , Jiangsu, 214063, China. zhangli@jsinm.org.
Southeast University · CN

Funding

National Natural Science Foundation of China 81972503National Natural Science Foundation of China 82103656Science and Research Foundation of the Health Bureau of Jiangsu Province M2021060Science and Research Foundation of Wuxi Science & Technology Bureau Y20212051Science and Research Foundation of Wuxi Science & Technology Bureau Y20212052Wuxi Health and Family Planning Commission Q202103
6 · The paper itself

Abstract

Reliable preoperative diagnosis of thyroid nodules remained challenging because of the inconclusiveness of fine-needle aspiration (FNA) cytology. In the present study, 583 formalin-fixed paraffin embedded (FFPE) thyroid nodule tissues and 161 FNA specimens were enrolled retrospectively. Then BRAF V600E, EZH1 Q571R, SPOP P94R, and ZNF148 mutations among these samples were identified using Sanger sequencing. Based on this four-gene genomic classifier, we proposed a two-step modality to diagnose thyroid nodules to differentiate benign and malignant thyroid nodules. In the FFPE group, thyroid cancers were effectively diagnosed in 37.7% (220/583) of neoplasms by the primary BRAF V600E testing, and 15.7% (57/363) of thyroid nodules could be further determined as benign by subsequent EZH1 Q571R, SPOP P94R, and ZNF148 (we called them "ESZ") mutation testing. In the FNA group, 161 BRAF wild-type specimens were classified according to The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). A total of 7 mutated samples fell within Bethesda categories III-IV, and the mutation rate of "ESZ" in Bethesda III-IV categories was 8.4%. The two-step genomic classifier could further improve thyroid nodule diagnosis, which may inform more optimal patient management.

Indexed as

Thyroid NeoplasmsThyroid NoduleDNA-Binding ProteinsDNA Mutational AnalysisHumansMutationNuclear ProteinsPolycomb Repressive Complex 2Proto-Oncogene Proteins B-rafRepressor ProteinsRetrospective StudiesTranscription FactorsBRAF protein, humanDNA-Binding ProteinsEZH1 protein, humanNuclear ProteinsPolycomb Repressive Complex 2Proto-Oncogene Proteins B-rafRepressor ProteinsSPOP protein, humanTranscription FactorsZNF148 protein, humanBRAFEZH1Fine-needle aspirationSPOPThyroid nodulesZNF148 mutations

Identifiers

PMID37572175
OpenAlexW4385783196

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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.