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Gao Y, Liu CJ, Li HY, Xiong XM, Li GL, In 't Veld SGJG, Cai GY, Xie GY, Zeng SQ, Wu Y, Chi JH, Liu JH, Zhang Q, Jiao XF, Shi LL, Lu WR, Lv WG, Yang XS, Piek JMJ, de Kroon CD, Lok CAR, Supernat A, Łapińska-Szumczyk S, Łojkowska A, Żaczek AJ, Jassem J, Tannous BA, Sol N, Post E, Best MG, Kong BH, Xie X, Ma D, Wurdinger T, Guo AY, Gao QL. Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study. Protein Cell 2022:6821244. [PMID: 36905391 PMCID: PMC10246718 DOI: 10.1093/procel/pwac056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/19/2022] [Indexed: 11/12/2022] Open
Abstract
Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
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Affiliation(s)
- Yue Gao
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chun-Jie Liu
- Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hua-Yi Li
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiao-Ming Xiong
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Department of Obstetrics and Gynecology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Gui-Ling Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Sjors G J G In 't Veld
- Department of Neurosurgery, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.,Brain Tumor Center Amsterdam, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Guang-Yao Cai
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gui-Yan Xie
- Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Shao-Qing Zeng
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuan Wu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jian-Hua Chi
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jia-Hao Liu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qiong Zhang
- Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xiao-Fei Jiao
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lin-Li Shi
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Wan-Rong Lu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei-Guo Lv
- Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China
| | - Xing-Sheng Yang
- Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University, Jinan 250100, China
| | - Jurgen M J Piek
- Department of Obstetrics and Gynecology, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, Eindhoven, The Netherlands
| | - Cornelis D de Kroon
- Department of Obstetrics and Gynecology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands
| | - C A R Lok
- Department of Gynecological Oncology, Center of Gynecologic Oncology Amsterdam, Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Anna Supernat
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Sylwia Łapińska-Szumczyk
- Department of Gynecology, Gynecological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Łojkowska
- Department of Gynecology, Gynecological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna J Żaczek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
| | - Bakhos A Tannous
- Department of Neurology, Massachusetts General Hospital and Neuroscience Program, Harvard Medical School, 149 13th Street, Charlestown, MA 02129, USA
| | - Nik Sol
- Department of Neurosurgery, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.,Department of Neurology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Edward Post
- Department of Neurosurgery, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Myron G Best
- Department of Neurosurgery, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Bei-Hua Kong
- Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University, Jinan 250100, China
| | - Xing Xie
- Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China
| | - Ding Ma
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Thomas Wurdinger
- Department of Neurosurgery, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - An-Yuan Guo
- Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Qing-Lei Gao
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Gao Y, Liu CJ, Li HY, Xiong XM, In ‘t Veld SG, Li GL, Liu JH, Cai GY, Xie GY, Zeng SQ, Wu Y, Chi JH, Zhang Q, Jiao XF, Shi LL, Lu WR, Lv WG, Yang XS, Piek JM, de Kroon CD, Lok C, Supernat A, Łapińska-Szumczyk S, Łojkowska A, Żaczek AJ, Jassem J, Tannous BA, Sol N, Post E, Best MG, Kong BH, Xie X, Ma D, Wurdinger T, Guo AY, Gao QL. Abstract LB168: Platelet RNA signature enables early and accurate detection of ovarian cancer: An intercontinental, biomarker identification study. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-lb168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Morpho-physiological alternations of platelets provided a rationale to harness RNA sequencing of tumor-educated platelets (TEPs) for preoperative diagnosis of cancer. Timely, accurate, and non-invasive detection of ovarian cancer in women with adnexal masses presents a significant clinical challenge.
Patients and Methods: This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n=3; Netherlands, n=5; Poland, n=1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets.
Results: The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. Analysis of public datasets suggested that TEPs had potential to detect multiple malignancies (Table 1).
Conclusions: TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, early-stage ovarian cancer as well as other malignancies. However, these observations warrant prospective validations in a larger population before clinical utilities.
Table 1. Performance for TEPs in public pan-cancer datasets. Disease n Healthy Control AUC, area under the curve (95% CI) Women NSCLC (non-small-cell lung cancer) 126 77 0.758 (0.691-0.825) Breast cancer 38 77 0.817 (0.726-0.909) Colorectal cancer 18 77 0.973 (0.945-1.000) Pancreatic cancer 16 77 0.993 (0.981-1.000) Glioblastoma 10 77 0.923 (0.831-1.000) Men NSCLC 119 82 0.746 (0.677-0.815) Colorectal cancer 25 82 0.933 (0.884-0.982) Pancreatic cancer 22 82 0.993 (0.984-1.000) Glioblastoma 19 82 0.981 (0.959-1.000) All NSCLC 245 159 0.774 (0.728-0.820) Colorectal cancer 40 159 0.978 (0.961-0.996) Breast cancer 38 159 0.821 (0.736-0.906) Pancreatic cancer 35 159 0.987 (0.974-0.999) Glioblastoma 35 159 0.931 (0.890-0.972) Hepatobiliary carcinomas 14 159 0.991 (0.978-1.000)
Citation Format: Yue Gao, Chun-Jie Liu, Hua-Yi Li, Xiao-Ming Xiong, Sjors G.j.g. In ‘t Veld, Gui-Ling Li, Jia-Hao Liu, Guang-Yao Cai, Gui-Yan Xie, Shao-Qing Zeng, Yuan Wu, Jian-Hua Chi, Qiong Zhang, Xiao-Fei Jiao, Lin-Li Shi, Wan-Rong Lu, Wei-Guo Lv, Xing-Sheng Yang, Jurgen M.j. Piek, Cornelis D de Kroon, C.a.r. Lok, Anna Supernat, Sylwia Łapińska-Szumczyk, Anna Łojkowska, Anna J. Żaczek, Jacek Jassem, Bakhos A. Tannous, Nik Sol, Edward Post, Myron G. Best, Bei-Hua Kong, Xing Xie, Ding Ma, Thomas Wurdinger, An-Yuan Guo, Qing-Lei Gao. Platelet RNA signature enables early and accurate detection of ovarian cancer: An intercontinental, biomarker identification study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB168.
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Affiliation(s)
- Yue Gao
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chun-Jie Liu
- 2Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Hua-Yi Li
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Ming Xiong
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sjors G.j.g. In ‘t Veld
- 3Department of Neurosurgery, Brain Tumor Center Amsterdam, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Gui-Ling Li
- 4Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jia-Hao Liu
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guang-Yao Cai
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gui-Yan Xie
- 2Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Shao-Qing Zeng
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Wu
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Hua Chi
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiong Zhang
- 2Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Fei Jiao
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin-Li Shi
- 4Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wan-Rong Lu
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei-Guo Lv
- 5Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xing-Sheng Yang
- 6Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University, Jinan, China
| | - Jurgen M.j. Piek
- 7Department of Obstetrics and Gynecology, Catharina Hospital, Eindhoven, Netherlands
| | - Cornelis D de Kroon
- 8Department of Obstetrics and Gynecology, Leiden University Medical Center, Leiden, Netherlands
| | - C.a.r. Lok
- 9Department of Gynecological Oncology, Center of Gynecologic Oncology Amsterdam, Antoni van Leeuwenhoek, Amsterdam, Netherlands
| | - Anna Supernat
- 10Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Sylwia Łapińska-Szumczyk
- 11Department of Gynecology, Gynecological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Łojkowska
- 11Department of Gynecology, Gynecological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna J. Żaczek
- 10Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Jacek Jassem
- 12Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland, Gdańsk, Poland
| | - Bakhos A. Tannous
- 13Department of Neurology, Massachusetts General Hospital and Neuroscience Program, Harvard Medical School, Charlestown, MA
| | - Nik Sol
- 14Brain Tumor Center Amsterdam, Department of Neurology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Edward Post
- 3Department of Neurosurgery, Brain Tumor Center Amsterdam, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Myron G. Best
- 3Department of Neurosurgery, Brain Tumor Center Amsterdam, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Bei-Hua Kong
- 6Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University, Jinan, China
| | - Xing Xie
- 5Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ding Ma
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Thomas Wurdinger
- 3Department of Neurosurgery, Brain Tumor Center Amsterdam, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - An-Yuan Guo
- 2Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Qing-Lei Gao
- 1Department of Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Qi F, Chai ZY, Liu MM, Zheng LZ, Zhu Y, Chen ZW, Lv WG. Type 2 Cesarean Scar Pregnancy Successfully Treated via Hysteroscopy-Assisted Laparoscopy. J Minim Invasive Gynecol 2019; 26:1273-1281. [DOI: 10.1016/j.jmig.2018.11.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 11/08/2018] [Accepted: 11/12/2018] [Indexed: 02/08/2023]
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Zhao BH, Jiang Y, Zhu H, Xi FF, Chen Y, Xu YT, Liu F, Wang YY, Hu WS, Lv WG, Luo Q. Placental Delta-Like 1 Gene DNA Methylation Levels Are Related to Mothers' Blood Glucose Concentration. J Diabetes Res 2019; 2019:9521510. [PMID: 31886292 PMCID: PMC6927055 DOI: 10.1155/2019/9521510] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 11/04/2019] [Indexed: 12/20/2022] Open
Abstract
PURPOSE We aim to identify the methylation status of delta-like 1 (DLK1) in the placenta and the correlation between DLK1 methylation and maternal serum glucose level and fetal birth weight. METHODS We analyzed the gene expression of DLK1 gene in both maternal and fetal sides of the placenta in a GDM group (n = 15) and a control group (n = 15) using real-time polymerase chain reaction. With MethylTargetTM technique, we detected the methylation status of DLK1 promotor in the placenta. Furthermore, Pearson's correlation was used to confirm the association of methylation alteration of DLK1 promoter and maternal 2 h OGTT glucose level and fetal birth weight. RESULTS In our study, we found that DLK1 expression in both maternal and fetal sides of the placenta decreased significantly in GDM group compared with control group, and it was caused by hypermethylation of DLK1 promoter region. Additionally, the methylation status of DLK1 gene in the maternal side of the placenta highly correlated with maternal 2 h OGTT glucose level (coefficient = 0.7968, P < 0.0001), while the methylation status in the fetal side of the placenta was closely related to fetal birth weight (coefficient = 0.6233, P < 0.0001). CONCLUSIONS Our results demonstrated that altered expression of DLK1 was caused by the hypermethylation of DLK1 promoter region in the placenta, and intrauterine exposure to GDM has long-lasting effects on the epigenome of the offspring.
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Affiliation(s)
- Bai-Hui Zhao
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Jiang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hong Zhu
- Department of Obstetrics and Gynecology, The International Peace Maternity and Child Health Hospital of China Welfare institute, Shanghai, China
| | - Fang-Fang Xi
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuan Chen
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ye-Tao Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fang Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ya-Yun Wang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wen-Sheng Hu
- Department of Obstetrics, Maternal and Child Health Care Hospital, Hangzhou, China
| | - Wei-Guo Lv
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiong Luo
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Huang Y, Li Y, Wang FF, Lv W, Xie X, Cheng X. Over-Expressed miR-224 Promotes the Progression of Cervical Cancer via Targeting RASSF8. PLoS One 2016; 11:e0162378. [PMID: 27626930 PMCID: PMC5023165 DOI: 10.1371/journal.pone.0162378] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 08/22/2016] [Indexed: 01/21/2023] Open
Abstract
Cervical cancer is the most common cause of cancer-related deaths in women from developing countries. Identification of novel prognostic predictors or therapeutic targets may improve patient prognosis. In the current study, we demonstrated by real-time PCR that miR-224 expression was significantly upregulated (1.82-fold, P = 0.0025) in cervical cancer tissues (n = 126) compared with in normal cervical tissues (n = 64). Higher expression of miR-224 was significantly associated with poorer prognostic factors, including advanced FIGO stage, nodal metastasis, larger tumor size, vascular involvement and deep stromal invasion (all P < 0.05). Enforced expression of miR-224 promoted cell proliferation, migration and invasion in SiHa and CaSki cancer cell lines. Bioinformatic analysis indicated that RASSF8 (RAS-association domain family 8) was a potential target of miR-224. Western blot analysis and luciferase reporter assay showed that overexpressed miR-224 inhibited RASSF8 protein expression and decreased the activity of a luciferase reporter containing the 3′ untranslated region (UTR) of RASSF8, respectively. Further, RASSF8 knockdown by specific RNAi showed similar effects in cervical cancer cells transfected with miR-224 mimic. Our findings suggest that miR-224 directly targets RASSF8 and thereby acts as a tumor promoter in cervical cancer progression.
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Affiliation(s)
- YongJie Huang
- Women’s Reproductive Health Laboratory of Zhejiang Province, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yang Li
- Department of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Fen F. Wang
- Department of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - WeiGuo Lv
- Department of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xing Xie
- Department of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaodong Cheng
- Department of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- * E-mail:
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Zhou H, Li X, Zhang Y, Jia Y, Hu T, Yang R, Huang KC, Chen ZL, Wang SS, Tang FX, Zhou J, Chen YL, Wu L, Han XB, Lin ZQ, Lu XM, Xing H, Qu PP, Cai HB, Song XJ, Tian XY, Zhang QH, Shen J, Liu D, Wang ZH, Xu HB, Wang CY, Xi L, Deng DR, Wang H, Lv WG, Shen K, Wang SX, Xie X, Cheng XD, Ma D, Li S. Establishing a Nomogram for Stage IA-IIB Cervical Cancer Patients after Complete Resection. Asian Pac J Cancer Prev 2015; 16:3773-7. [DOI: 10.7314/apjcp.2015.16.9.3773] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Chen YX, Lv WG, Chen HZ, Ye F, Xie X. Methotrexate induces apoptosis of human choriocarcinoma cell line JAR via a mitochondrial pathway. Eur J Obstet Gynecol Reprod Biol 2009; 143:107-11. [PMID: 19181434 DOI: 10.1016/j.ejogrb.2008.12.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2008] [Revised: 12/07/2008] [Accepted: 12/28/2008] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To investigate methotrexate (MTX)-induced apoptosis and the involved pathways in human choriocarcinoma cells. STUDY DESIGN MTX-induced apoptosis of human choriocarcinoma cell line JAR was examined using a PI/Annexin V stain with flow cytometer (FCM). Mitochondrial apoptosis was detected by fluorescence microscopy, and analyzed by FCM using a MitoCapture mitochondrial apoptosis detection kit. The activities of caspase-8 and caspase-9 were quantified by microtiter plate reader at 405 nm using FLICE/Caspase-8 colorimetric assay kit and Caspase-9/Mch6 colorimetric assay kit. The changes in Bax and Bcl-2 expression were detected during apoptosis using immunocytochemistry and Western blot analysis. RESULTS JAR cells underwent apoptosis after exposure to 0.1-2.5 microg/ml MTX for 48 h. Decreased mitochondrial membrane potential was observed both by fluorescence microscopy and FCM. The activation of caspase-9 was increased 4.35+/-0.76-fold in MTX-incubated JAR, while there was no obvious change in the activation of caspase-8. When JAR cells underwent apoptosis, the expression of Bcl-2 was decreased and the expression of Bax was increased; both were detected by immunocytochemistry assay. CONCLUSION Methotrexate in lower concentrations induces apoptosis of human choriocarcinoma cells via mitochondrial-initiated pathways, including reduction of mitochondrial membrane potential, activation of caspase-9, and up-regulation of Bax/Bcl-2 expression.
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Affiliation(s)
- Ya-Xia Chen
- Women's Hospital, School of Medicine, Zhejiang University, No. 2 Xueshi Road, Hangzhou 310006, China.
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Chen YX, Xu J, Lv WG, Xie X. Primary ovarian choriocarcinoma mimicking ectopic pregnancy managed with laparoscopy -- case report. EUR J GYNAECOL ONCOL 2008; 29:174-176. [PMID: 18459557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Nongestational ovarian choriocarcinomas are extremely rare and pose diagnostic challenges in reproductive-aged patients because of elevated human chorionic gonadotrophin (hCG). A 23-year-old nulliparous Chinese woman with nongestational ovarian choriocarcinoma escaped diagnostic testing and was initially treated for an ectopic pregnancy. Three months after her first visit, a diagnostic laparoscopy demonstrated a nongestational ovarian choriocarcinoma. Comprehensive surgical staging was performed by laparoscopy. The tumor was confined to the left ovary. The patient was categorized as FIGO Stage IA. She was given four courses of combined chemotherapy after laparoscopic surgery and has been disease-free for 36 months.
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Affiliation(s)
- Y X Chen
- Department of Gynecologic Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, PR China
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