Literature DB >> 29487009

An immunohistochemical panel consisting of EZH2, C-KIT, and CD205 is useful for distinguishing thymic squamous cell carcinoma from type B3 thymoma.

Bo-Sung Kim1, Jin Kuk Kim2, Chang Hyun Kang3, Young Tae Kim3, Kyeong Cheon Jung4, Jae-Kyung Won5.   

Abstract

Type B3 thymoma and thymic squamous cell carcinoma (SqCC) often cause a diagnostic problem due to their histological similarities. The aim of this study is to identify EZH2 as a novel and powerful biomarker that can effectively distinguish thymic SqCC from type B3 thymoma, and find optimal combinations among 11 markers. A total of 53 patients, comprising 26 with type B3 thymoma and 27 with thymic SqCC, were allocated to the discovery or validation cohorts, and immunohistochemical staining was performed and analyzed. The expression level of each marker was scored, and receiver-operator characteristic curve analysis was performed to evaluate their diagnostic accuracies. This analysis identified EZH2, C-KIT, and CD205 as useful markers for distinguishing thymic SqCC, and a combined panel approach using them further improved diagnostic accuracy in both the discovery and validation cohorts. In the combined cohorts analysis, EZH2 was the single best marker with 88.9% sensitivity and 100% specificity [area under the curve (AUC) = 0.967]. The sensitivity and specificity were 85.2% and 100% (AUC = 0.962) for C-KIT, and 100% and 73.1% (AUC = 0.844) for CD205. The combined panel had the highest sensitivity and specificity at 96.3% and 100%, which was significantly or marginally higher than those of EZH2, C-KIT, and CD205 alone (P = 0.071, 0.034, and 0.005, respectively). The present findings indicate that EZH2 is useful as a novel diagnostic marker for distinguishing thymic SqCC and that the panel approach can be used as an effective differential diagnostic tool in daily practice.
Copyright © 2018 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  C-KIT; CD205; EZH2; Immunohistochemistry; Thymic carcinoma; Thymoma

Mesh:

Substances:

Year:  2018        PMID: 29487009     DOI: 10.1016/j.prp.2018.01.009

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  7 in total

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Journal:  Sci Rep       Date:  2020-03-23       Impact factor: 4.379

2.  CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors.

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Journal:  Front Oncol       Date:  2021-02-26       Impact factor: 6.244

3.  Two types of immune infiltrating cells and six hub genes can predict the occurrence of myasthenia gravis in patients with thymoma.

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Review 4.  Diagnostic Challenges in the Cytology of Thymic Epithelial Neoplasms.

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Review 5.  An Algorithmic Immunohistochemical Approach to Define Tumor Type and Assign Site of Origin.

Authors:  Andrew M Bellizzi
Journal:  Adv Anat Pathol       Date:  2020-05       Impact factor: 4.571

6.  Discovery and validation of DNA methylation markers for overall survival prognosis in patients with thymic epithelial tumors.

Authors:  Songlin Li; Yuan Yuan; He Xiao; Jiajia Dai; Yunfei Ye; Qin Zhang; Zhimin Zhang; Yuhan Jiang; Jia Luo; Jing Hu; Chuan Chen; Ge Wang
Journal:  Clin Epigenetics       Date:  2019-03-04       Impact factor: 6.551

Review 7.  An overview on the differential diagnostics of tumors of the anterior-superior mediastinum: the pathologist's perspective.

Authors:  Mirella Marino; Stefano Ascani
Journal:  Mediastinum       Date:  2019-02-22
  7 in total

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