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Fujimoto H, Yoshihara M, Rodgers R, Iyoshi S, Mogi K, Miyamoto E, Hayakawa S, Hayashi M, Nomura S, Kitami K, Uno K, Sugiyama M, Koya Y, Yamakita Y, Nawa A, Enomoto A, Ricciardelli C, Kajiyama H. Tumor-associated fibrosis: a unique mechanism promoting ovarian cancer metastasis and peritoneal dissemination. Cancer Metastasis Rev 2024; 43:1037-1053. [PMID: 38546906 PMCID: PMC11300578 DOI: 10.1007/s10555-024-10169-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/11/2024] [Indexed: 08/06/2024]
Abstract
Epithelial ovarian cancer (EOC) is often diagnosed in advanced stage with peritoneal dissemination. Recent studies indicate that aberrant accumulation of collagen fibers in tumor stroma has a variety of effects on tumor progression. We refer to remodeled fibrous stroma with altered expression of collagen molecules, increased stiffness, and highly oriented collagen fibers as tumor-associated fibrosis (TAF). TAF contributes to EOC cell invasion and metastasis in the intraperitoneal cavity. However, an understanding of molecular events involved is only just beginning to emerge. Further development in this field will lead to new strategies to treat EOC. In this review, we focus on the recent findings on how the TAF contributes to EOC malignancy. Furthermore, we will review the recent initiatives and future therapeutic strategies for targeting TAF in EOC.
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Affiliation(s)
- Hiroki Fujimoto
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Masato Yoshihara
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Raymond Rodgers
- School of Biomedicine, Robinson Research Institute, The University of Adelaide, Adelaide, Australia
| | - Shohei Iyoshi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Kazumasa Mogi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Emiri Miyamoto
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sae Hayakawa
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Maia Hayashi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satoshi Nomura
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuhisa Kitami
- Department of Obstetrics and Gynaecology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Kaname Uno
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University Graduate School of Medicine, Lund, Sweden
| | - Mai Sugiyama
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshihiro Koya
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshihiko Yamakita
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akihiro Nawa
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Atsushi Enomoto
- Department of Pathology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Carmela Ricciardelli
- Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, Australia.
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Zhao Z, Shen B, Li Y, Wang S, Hu R, Qu J, Lu Y, Liu L. Deep learning-based high-speed, large-field, and high-resolution multiphoton imaging. BIOMEDICAL OPTICS EXPRESS 2023; 14:65-80. [PMID: 36698678 PMCID: PMC9841989 DOI: 10.1364/boe.476737] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Multiphoton microscopy is a formidable tool for the pathological analysis of tumors. The physical limitations of imaging systems and the low efficiencies inherent in nonlinear processes have prevented the simultaneous achievement of high imaging speed and high resolution. We demonstrate a self-alignment dual-attention-guided residual-in-residual generative adversarial network trained with various multiphoton images. The network enhances image contrast and spatial resolution, suppresses noise, and scanning fringe artifacts, and eliminates the mutual exclusion between field of view, image quality, and imaging speed. The network may be integrated into commercial microscopes for large-scale, high-resolution, and low photobleaching studies of tumor environments.
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Affiliation(s)
- Zewei Zhao
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Binglin Shen
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Yanping Li
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Shiqi Wang
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Rui Hu
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Junle Qu
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Yuan Lu
- Department of Dermatology, Shenzhen Nanshan People's Hospital and The 6th Affiliated Hospital of Shenzhen University Health Science Center, and Hua Zhong University of Science and Technology Union Shenzhen Hospital, China
| | - Liwei Liu
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
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Zhao T, Zhao Z, Wang S, Pan Y. Quantitative analysis of ovarian cancer pathology using nonlinear optical imaging and lifetime microscopy. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1016/j.cjac.2022.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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