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Xu H, Zhang Y, Wu H, Zhou N, Li X, Pineda JP, Zhu Y, Fu H, Ying M, Yang S, Bao J, Yang L, Zhang B, Guo L, Sun L, Lu F, Wang H, Huang Y, Zhu T, Wang X, Wei Q, Sheng C, Qu S, Lv Z, Xu D, Li Q, Dong Y, Qin J, Cheng T, Xing M. High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules. J Clin Oncol 2023; 41:1296-1306. [PMID: 36378996 PMCID: PMC9937101 DOI: 10.1200/jco.22.00232] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
PURPOSE To explore the novel diagnostic value of epigenetic imprinting biomarkers in thyroid nodules. PATIENTS AND METHODS A total of 550 patients with fine-needle aspiration (FNA)-evaluated and histopathologically confirmed thyroid nodules were consecutively recruited from eight medical centers. Quantitative chromogenic imprinted gene in situ hybridization (QCIGISH) was used to assess the allelic expression of imprinted genes SNRPN and HM13, on the basis of which a diagnostic grading model for thyroid nodules was developed. The model was retrospectively trained on 124 postsurgical thyroid samples, optimized on 32 presurgical FNA samples, and prospectively validated on 394 presurgical FNA samples. Blinded central review-based cytopathologic and histopathologic diagnoses were used as the reference standard. RESULTS For thyroid malignancy, the QCIGISH test achieved an overall diagnostic sensitivity of 100% (277/277), a specificity of 91.5% (107/117; 95% CI, 86.4 to 96.5), a positive predictive value (PPV) of 96.5% (95% CI, 94.4 to 98.6), and a negative predictive value (NPV) of 100% in the prospective validation, with a diagnostic accuracy of 97.5% (384/394; 95% CI, 95.9 to 99.0). QCIGISH demonstrated a PPV of 97.8% (95% CI, 94.7 to 100) and NPV of 100%, with a diagnostic accuracy of 98.2% (111/113; 95% CI, 95.8 to 100), for indeterminate Bethesda III-V thyroid nodules. QCIGISH demonstrated a PPV of 96.6% (95% CI, 91.9 to 100) and a NPV of 100%, with a diagnostic accuracy of 97.5% (79/81; 95% CI, 94.2 to 100), for Bethesda III-IV. For Bethesda VI, QCIGISH showed a 100% (184/184) accuracy. CONCLUSION This imprinting biomarker-based test can effectively distinguish malignant from benign thyroid nodules. The high PPV and NPV make the test both an excellent rule-in and rule-out diagnostic tool. With such a diagnostic performance and its technical simplicity, this novel thyroid molecular test is clinically widely applicable.
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Affiliation(s)
- Huixiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yifeng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hongxun Wu
- Departments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Ning Zhou
- Lisen Imprinting Diagnostics Inc, Wuxi, Jiangsu, China
| | - Xing Li
- Lisen Imprinting Diagnostics Inc, Wuxi, Jiangsu, China
| | - John P Pineda
- Lisen Imprinting Diagnostics Inc, Wuxi, Jiangsu, China
| | - Yun Zhu
- Departments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Huijun Fu
- The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Pathology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ming Ying
- Departments of Ultrasound and Endocrinology, Taizhou People's Hospital, Taizhou, Jiangsu, China
| | - Shufang Yang
- Departments of Ultrasound and Endocrinology, Taizhou People's Hospital, Taizhou, Jiangsu, China.,Department of Endocrinology, Taizhou Third People's Hospital, Taizhou, Jiangsu, China
| | - Jiandong Bao
- Departments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Lulu Yang
- Department of Pathology, Nanjing First Hospital, Nanjing, Jiangsu, China
| | - Bingjie Zhang
- Departments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Lehang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Liping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Feng Lu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hanxiang Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, School of Medicine, Tongji University, Shanghai, China.,The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ying Huang
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Tiantong Zhu
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaonan Wang
- Lisen Imprinting Diagnostics Inc, Wuxi, Jiangsu, China
| | - Qing Wei
- The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Pathology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chunjun Sheng
- The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shen Qu
- The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhongwei Lv
- The Thyroid Research Center of Shanghai, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Dong Xu
- Department of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Qian Li
- Department of Ultrasound, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Yongling Dong
- Department of Ultrasound, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jianwu Qin
- Department of Thyroid and Breast Surgery, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Tong Cheng
- Lisen Imprinting Diagnostics Inc, Wuxi, Jiangsu, China
| | - Mingzhao Xing
- School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
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Zhou J, Cheng T, Li X, Hu J, Li E, Ding M, Shen R, Pineda JP, Li C, Lu S, Yu H, Sun J, Huang W, Wang X, Si H, Shi P, Liu J, Chang M, Dou M, Shi M, Chen X, Yung RC, Wang Q, Zhou N, Bai C. Epigenetic imprinting alterations as effective diagnostic biomarkers for early-stage lung cancer and small pulmonary nodules. Clin Epigenetics 2021; 13:220. [PMID: 34906185 PMCID: PMC8672623 DOI: 10.1186/s13148-021-01203-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 11/28/2021] [Indexed: 01/18/2023] Open
Abstract
Background Early lung cancer detection remains a clinical challenge for standard diagnostic biopsies due to insufficient tumor morphological evidence. As epigenetic alterations precede morphological changes, expression alterations of certain imprinted genes could serve as actionable diagnostic biomarkers for malignant lung lesions. Results Using the previously established quantitative chromogenic imprinted gene in situ hybridization (QCIGISH) method, elevated aberrant allelic expression of imprinted genes GNAS, GRB10, SNRPN and HM13 was observed in lung cancers over benign lesions and normal controls, which were pathologically confirmed among histologically stained normal, paracancerous and malignant tissue sections. Based on the differential imprinting signatures, a diagnostic grading model was built on 246 formalin-fixed and paraffin-embedded (FFPE) surgically resected lung tissue specimens, tested against 30 lung cytology and small biopsy specimens, and blindly validated in an independent cohort of 155 patients. The QCIGISH diagnostic model demonstrated 99.1% sensitivity (95% CI 97.5–100.0%) and 92.1% specificity (95% CI 83.5–100.0%) in the blinded validation set. Of particular importance, QCIGISH achieved 97.1% sensitivity (95% CI 91.6–100.0%) for carcinoma in situ to stage IB cancers with 100% sensitivity and 91.7% specificity (95% CI 76.0–100.0%) noted for pulmonary nodules with diameters ≤ 2 cm. Conclusions Our findings demonstrated the diagnostic value of epigenetic imprinting alterations as highly accurate translational biomarkers for a more definitive diagnosis of suspicious lung lesions. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01203-5.
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Affiliation(s)
- Jian Zhou
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.,Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, 200032, China
| | - Tong Cheng
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Xing Li
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Jie Hu
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Encheng Li
- Department of Respiratory Medicine, The Second Hospital Affiliated to Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Ming Ding
- Department of Respiratory Medicine, The Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, Jiangsu, China
| | - Rulong Shen
- Department of Pathology, Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - John P Pineda
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Chun Li
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Shaohua Lu
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hongyu Yu
- Department of Pathology, Changzheng Hospital, Navy Medical University, Shanghai, 200003, China
| | - Jiayuan Sun
- Department of Respiratory Endoscopy and Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Wenbin Huang
- Department of Pathology, Nanjing First Hospital, Nanjing, 210006, Jiangsu, China
| | - Xiaonan Wang
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Han Si
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Panying Shi
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China
| | - Jing Liu
- Department of Pathology, The Affiliated Yantai Yuhuangding Hospital, Qingdao University, Yantai, 264000, Shandong, China
| | - Meijia Chang
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Maosen Dou
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Meng Shi
- Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xiaofeng Chen
- Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Rex C Yung
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21207, USA
| | - Qi Wang
- Department of Respiratory Medicine, The Second Hospital Affiliated to Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Ning Zhou
- Epigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
| | - Chunxue Bai
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. .,Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, 200032, China.
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