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Yaoting Sun

As seen in: Nature, Cell Reports Medicine, medRxiv
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Articles by Yaoting Sun

Large-scale proteomic characterization reveals clinically relevant subtypes of early-stage papillary thyroid cancer for prognostic prediction

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By Jun Pan, Fang Ye, Yunjin Yao, Yingrui Wang, Yaohui Zhang, Mengni Chen, Pingping Hu, Yaoting Sun, Yan Zhou, Guoji Guo, Qihan You, Tiannan Guo, Yijun Wu, Xianjiang Wu, Shishuai Wen, Fangyu Ju
| Nature Verified
Abstract Papillary thyroid cancer (PTC) has a rising incidence. The majority are diagnosed at an early stage, albeit with a minority exhibiting aggressive tendencies. Given its generally indolent nature, controversy persists regarding the management of early-stage PTCs, particularly surgical intervention and long-term surveillance strategies. Here, we conduct a large-scale proteomic characterization of early-stage PTC based on tumor samples from 797 patients.
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A targeted proteomics assay for the preoperative diagnosis of thyroid nodules

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By Xue Cai, Yaoting Sun, Dingcun Luo, Hao Zhang, Wenjun Wei, Yifeng Zhang, Weigang Ge, Jing Liu, Guan Ruan, Lu Li, Lingling Tan, Luang Xu, Dong Xu, Haixia Guan, Jiang Zhu, Wanyuan Chen, Qiushi Zhang, Juntao Qiu, Zhangzhi Xue, Zhiqiang Gui, Haitao Zheng, Gaosong Wu, Jianhua Wang, Lei Xie, Guang Dong Chen, Guoyang Wu, Chuang Chen, Xianghui He, Meiping Shen, Jianbiao Wang, Minghua Ge, Deguang Zhang, Liang Zhou, Yijun Wu, Hui Shi, Fan Wu, Zhihong Wang, Jing Yao, Zhiyan Liu, Mingzhao Xing, Kennichi Kakudo, Yibo Gao, Wen Tian, Huixiong Xu, Yi Zhu, Yu Wang, Tiannan Guo, Huijuan Si
| Cell Reports Medicine Verified
Keywords indeterminate thyroid nodules multi-center clinical study prospective diagnosis mass spectrometry targeted proteomics artificial intelligence molecular classifier model fine-needle aspiration absolute quantification bethesda classification Introduction The prevalence of thyroid nodules has been reported as high as 65% of the general population.1,2 Fine-needle aspiration (FNA) biopsy is the current diagnostic mainstay for thyroid nodules, providing reliable diagnosis in most...
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Proteogenomic characterization delineates clinically relevant subtypes of advanced differentiated thyroid cancer

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By Tingting Zhang, Haitao Tang, Cenkai Shen, Yan Zhang, Yaoting Sun, Yan Zhou, Chentian Shen, Huajun Xu, Chenyi Wang, Wenyang Ding, Tiansheng Xu, Yuxin Du, Zhiyan Liu, Yulong Wang, Dongmei Ji, Xing Sun, Qinghai Ji, Wenjun Wei, Yu Wang, Xiao Shi, Wangpeng Cui, Fuxing Zheng, Chuqiao Liu, Naisi Huang, Xiaoqi Mao
| Cell Reports Medicine Verified
ArticleOnline now102661Open access Affiliations & Notes 1Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China 3Department of Pathology, Shanghai Medical College, Fudan University, Shanghai 200032, China 4Westlake Center for Intelligent Proteomics, School of Life Sciences, Westlake University, Hangzhou 310024, China 5Department of Nuclear Medicine,...
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Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma - Nature Communications

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By Yan Zhou, Yingrui Wang, Xiao Shi, Jiatong Wang, Zelin Zang, Likun Zhang, Zhiqiang Gui, Xue Cai, Pingping Hu, Jiaxi Wang, Hanqing Liu, Zhihong Wang, Haixia Guan, Xiaohong Wu, Cenkai Shen, Yi He, Mo Li, Hao Zhang, Jianbiao Wang, Yijun Wu, Chuang Chen, Yi Zhu, Yaoting Sun, Zhiyan Liu, Yu Wang
| Nature Verified
Abstract Medullary thyroid carcinoma (MTC) is a rare, aggressive neuroendocrine tumor with limited treatment options and frequent recurrence. Comprehensive recurrence risk stratification remains lacking. Here, we profile 482 MTC samples from 452 patients across ten Chinese clinical centers, identifying 10,092 proteins and mutations in 87.0% of patients.
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Integrative proteogenomic characterization reveals therapeutic targets in poorly differentiated and anaplastic thyroid cancers - Nature Communications

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By Zhaoyu Qin, Xiaozhou Zou, Tiannan Guo, Yaoting Sun, Chen Ding, Ping Huang
| Nature Verified
Abstract Poorly differentiated thyroid cancer (PDTC) and anaplastic thyroid cancer (ATC) present major challenges in treatment owing to extreme aggressiveness and high heterogeneity. In this study, deep-scale analyses spanning genomic, proteomic, and phosphoproteomic data are performed on 348 thyroid-cancer and 119 tumor-adjacent samples. TP53 (48%), TERT promoter (36.5%), and BRAF (23%) are most frequently mutated in PDTC and ATC.
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A diagnostic protein assay for differentiating follicular thyroid adenoma and carcinoma

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By Yaoting Sun, He Wang, Lu Li, Jianbiao Wang
| medRxiv
T.Guo. and Y.Zhu. are shareholders of Westlake Omics Inc. M.C. and W.G. are employees of Westlake Omics Inc. F.Y is a shareholder of the RIGEN Biotechnology Co., Ltd. T.Guo., Y.S. and H.W. have applied for a patent [ID: ZL 2022 1 1046085.8] on this project. The other authors declare no competing interests in this paper.
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Multi-organ proteomic landscape of COVID-19 autopsies

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By Xiu Nie, Liujia Qian, Rui Sun, Bo Huang, Qi Xiao, Qiushi Zhang, Tian Jian Lu, Liang Yue, Shuo Chen, Xiang Li, Yaoting Sun, Lu Li, Luang Xu, Ming Yang, Shuang Liang, Xuan Ding, Chunhui Yuan, Li Peng, Wei Liu, Xiao Yi, Xiaochuan Dong, Zhangzhi Xue
| ScienceDirect Verified
Highlights • 11,394 proteins are quantified in autopsy samples from 7 organs in 19 COVID-19 patients • Elevated expression of cathepsin L1 is detected in the COVID-19 lung tissue • Dysregulation of angiogenesis, coagulation, and fibrosis is detected in multiple organs • Systemic metabolic dysregulation is detected in multiple organs Summary The molecular pathology of multi-organ injuries in COVID-19 patients remains unclear, preventing effective therapeutics development.
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Proteomic and Metabolomic Characterization of COVID-19 Patient Sera

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By Bo Shen, Xiao Yi, Yaoting Sun, Xiaojie Bi, Juping Du, Chao Zhang, Fangfei Zhang, Rui Sun, Weigang Ge, Wei Liu, Shuang Liang, Hao Chen, Ying Zhang, Jun Li, Jing Wang, Haixi Yan, Yufen Zheng, Liujia Qian, Jiaqin Xu, Zebao He, Baofu Chen
| ScienceDirect Verified
Highlights • 93 proteins show differential expression in severe COVID-19 patient sera • 204 metabolites in COVID-19 patient sera correlate with disease severity • A model composed of 29 serum factors shows patient stratification potential • Pathway analysis highlights metabolic and immune dysregulation in COVID-19 patients Summary Early detection and effective treatment of severe COVID-19 patients remain major challenges.
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Proteomic and Metabolomic Characterization of COVID-19 Patient Sera

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By Bo Shen, Zhejiang Province, Xiao Yi, Yaoting Sun
| medRxiv
View ORCID ProfileBo Shen, View ORCID ProfileXiao Yi, View ORCID ProfileYaoting Sun, Xiaojie Bi, Juping Du, Chao Zhang, Sheng Quan, View ORCID ProfileFangfei Zhang, View ORCID ProfileRui Sun, View ORCID ProfileLiujia Qian, View ORCID ProfileWeigang Ge, View ORCID ProfileWei Liu, View ORCID ProfileShuang Liang, View ORCID ProfileHao Chen, Ying Zhang, Jun Li, Jiaqin Xu, Zebao He, Baofu Chen, Jing Wang, Haixi Yan, Yufen Zheng, Donglian Wang, Jiansheng Zhu, Ziqing Kong, Zhouyang Kang, View ORCID...
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