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Wang Z, Wang H, Zhou Y, Li L, Lyu M, Wu C, He T, Tan L, Zhu Y, Guo T, Wu H, Zhang H, Sun Y. An individualized protein-based prognostic model to stratify pediatric patients with papillary thyroid carcinoma. Nat Commun 2024; 15:3560. [PMID: 38671151 PMCID: PMC11053152 DOI: 10.1038/s41467-024-47926-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Pediatric papillary thyroid carcinomas (PPTCs) exhibit high inter-tumor heterogeneity and currently lack widely adopted recurrence risk stratification criteria. Hence, we propose a machine learning-based objective method to individually predict their recurrence risk. We retrospectively collect and evaluate the clinical factors and proteomes of 83 pediatric benign (PB), 85 pediatric malignant (PM) and 66 adult malignant (AM) nodules, and quantify 10,426 proteins by mass spectrometry. We find 243 and 121 significantly dysregulated proteins from PM vs. PB and PM vs. AM, respectively. Function and pathway analyses show the enhanced activation of the inflammatory and immune system in PM patients compared with the others. Nineteen proteins are selected to predict recurrence using a machine learning model with an accuracy of 88.24%. Our study generates a protein-based personalized prognostic prediction model that can stratify PPTC patients into high- or low-recurrence risk groups, providing a reference for clinical decision-making and individualized treatment.
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Affiliation(s)
- Zhihong Wang
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China
| | - He Wang
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Yan Zhou
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Lu Li
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
| | - Mengge Lyu
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Chunlong Wu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou, China
| | - Tianen He
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Lingling Tan
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou, China
| | - Yi Zhu
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Tiannan Guo
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Hongkun Wu
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, Hangzhou, China.
| | - Hao Zhang
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China.
| | - Yaoting Sun
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China.
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Research Center for Industries of the Future, Westlake University, Hangzhou, China.
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Fu J, He M, Wu Q, Zhang X, Qi X, Shen K, Wang X, Zhang G. The clinical and genetic features in patients coexisting primary breast and thyroid cancers. Front Endocrinol (Lausanne) 2023; 14:1136120. [PMID: 37229458 PMCID: PMC10203615 DOI: 10.3389/fendo.2023.1136120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/26/2023] [Indexed: 05/27/2023] Open
Abstract
Background We attempted to examine the clinical characteristics in patients with breast cancer (BC) and thyroid cancer (TC); explore the potential mechanisms of tumorigenesis and progression. Methods Using the Surveillance, Epidemiology, and End Result Program-9 (SEER-9) database, a retrospective study (1975-2017) was conducted on patients with BC and TC. We identified the common differentially expressed genes involved in BC and TC using the Gene Expression Omnibus database (GEO). Immunohistochemical staining (IHC) was performed to verify the expression of the hit gene in patients with co-occurrence of BC and TC. Using The Cancer Genome Atlas (TCGA) database, the relationship between gene expression and clinicopathological characters was determined. Gene set enrichment analysis (GSEA) was used to identify the pathways enriched in BC and TC. Results BC patients had a higher predisposition to develop TC (standardized incidence ratio, SIR: 1.29) and vice-versa (SIR: 1.12). Most of these patients were differentiated thyroid carcinoma (DTC) and hormone receptor (HR) - positive BC. The mRNA expression of COMP (Cartilage oligomeric matrix protein) was significantly overexpressed in BC and TC by analyzing the GEO database. The protein expression of COMP was increased in both BC and TC tissues obtained from the same patients validated by IHC. COMP was correlated with worse OS in BC (stage II-IV) and TC; it was the independent factor for prognosis of BC. GSEA indicated that the estrogen response and epithelial-mesenchymal transition (EMT) pathways were significantly enriched in both TC- and BC- COMP overexpressed groups. Conclusion The co-occurrence risk of BC and TC in the same individual is higher than in the general population. Overexpression of COMP could promote oncogenesis and progression in patients with BC and TC through estrogen signaling and EMT pathways.
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Affiliation(s)
- Jingyao Fu
- Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
- Department of Oral-Maxillofacial-Thyroid Oncosurgery, Jilin Cancer Hospital, Changchun, Jilin, China
| | - Miao He
- Department of Anesthesia, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Qiong Wu
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Xiangkai Zhang
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
- Department of Thyroid and Breast Surgery, Jining No.1 People’s Hospital, Jining, Shandong, China
| | - Xin Qi
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Keyu Shen
- Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Xiaochun Wang
- Department of Oral-Maxillofacial-Thyroid Oncosurgery, Jilin Cancer Hospital, Changchun, Jilin, China
| | - Guang Zhang
- Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
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SRPX2 Promotes Tumor Proliferation and Migration via the FAK Pathway in Papillary Thyroid Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:5821545. [DOI: 10.1155/2022/5821545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022]
Abstract
Thyroid cancer is the most common form of endocrine cancer around the world, and among which papillary thyroid carcinoma (PTC) is the most ubiquitous pathological sub-kind. Sushi repeat-containing protein X-linked 2 (SRPX2) was reported to be an independent prognostic factor and significantly overexpressed in advanced PTC patients. However, the biological functions of SRPX2 remain ambiguous in PTC. Here, we explored SRPX2 expression profiles and functions in PTC, finding that SRPX2 expression was remarkably upregulated in PTC tissues and cell lines. Further colony formation, CCK-8, as well as transwell assay, suggested that SRPX2 silencing remarkably dampened PTC growth and migration. Mouse xenograft models were established to find that SRPX2 silence remarkably suppressed PTC proliferation and migration in vivo. Following mechanism studies revealed that SRPX2 realized its functions in the PTC process partially through activating the Focal adhesion kinase (FAK) phosphorylation. In conclusion, this study investigated the functions and mechanisms of the SRPX2/FAK pathway in PTC progression. SRPX2 could act as a prospective biologic signature and therapeutic target molecule for PTC.
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Sushi-Repeat-Containing Protein X-Linked 2: A Potential Therapeutic Target for Inflammation and Cancer Therapy. J Immunol Res 2022; 2022:2931214. [PMID: 35935582 PMCID: PMC9352485 DOI: 10.1155/2022/2931214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/13/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
Accumulating evidence has showed that sushi-repeat-containing protein X-linked 2 (SRPX2) is an abnormal expression in a variety of cancers and involved in cancer carcinogenesis, chemosensitivity, and prognosis, which mainly promote cancer cell metastasis, invasion, and migration by regulating the uPAR/integrins/FAK signaling pathway, epithelial-mesenchymal transition (EMT), angiogenesis, and glycosylation. Inflammation has been regarded as a key role in regulating cancer initiation, progression, EMT, and therapeutics. Furthermore, SRPX2 exhibited excellent antifibrosis effect via the TGFβR1/SMAD3/SRPX2/AP1/SMAD7 signaling pathway. Therefore, this review provides compelling evidence that SRPX2 might be a therapeutic target for inflammation and cancer-related inflammation for future cancer therapeutics.
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