|
1
|
Ge Z, Dai S, Yu H, Zhao J, Yang W, Tan W, Sun J, Gan Q, Liu L, Wang Z. Nanomechanical Analysis of Living Small Extracellular Vesicles to Identify Gastric Cancer Cell Malignancy Based on a Biomimetic Peritoneum. ACS NANO 2024; 18:6130-6146. [PMID: 38349890 PMCID: PMC10906078 DOI: 10.1021/acsnano.3c02285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 02/03/2024] [Accepted: 02/08/2024] [Indexed: 02/15/2024]
Abstract
Gastric cancer is one of the most prevalent digestive malignancies. The lack of effective in vitro peritoneal models has hindered the exploration of the potential mechanisms behind gastric cancer's peritoneal metastasis. An accumulating body of research indicates that small extracellular vesicles (sEVs) play an indispensable role in peritoneal metastasis of gastric cancer cells. In this study, a biomimetic peritoneum was constructed. The biomimetic model is similar to real peritoneum in internal microstructure, composition, and primary function, and it enables the recurrence of peritoneal metastasis process in vitro. Based on this model, the association between the mechanical properties of sEVs and the invasiveness of gastric cancer was identified. By performing nanomechanical analysis on sEVs, we found that the Young's modulus of sEVs can be utilized to differentiate between malignant clinical samples (ascites) and nonmalignant clinical samples (peritoneal lavage). Furthermore, patients' ascites-derived sEVs were verified to stimulate the mesothelial-to-mesenchymal transition, thereby promoting peritoneal metastasis. In summary, nanomechanical analysis of living sEVs could be utilized for the noninvasive diagnosis of malignant degree and peritoneal metastasis of gastric cancer. This finding is expected to contribute future treatments.
Collapse
Affiliation(s)
- Zhixing Ge
- State
Key Laboratory of Robotics, Shenyang Institute
of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes
for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Songchen Dai
- Department
of Surgical Oncology and General Surgery, The First Hospital of China Medical University, Shenyang 110016, China
- Key
Laboratory of Precision Diagnosis and Treatment of Gastrointestinal
Tumors, Ministry of Education, Shenyang 110016, China
| | - Haibo Yu
- State
Key Laboratory of Robotics, Shenyang Institute
of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes
for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
| | - Junhua Zhao
- Department
of Surgical Oncology and General Surgery, The First Hospital of China Medical University, Shenyang 110016, China
- Key
Laboratory of Precision Diagnosis and Treatment of Gastrointestinal
Tumors, Ministry of Education, Shenyang 110016, China
| | - Wenguang Yang
- School of
Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China
| | - Wenjun Tan
- State
Key Laboratory of Robotics, Shenyang Institute
of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes
for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingxu Sun
- Department
of Surgical Oncology and General Surgery, The First Hospital of China Medical University, Shenyang 110016, China
- Key
Laboratory of Precision Diagnosis and Treatment of Gastrointestinal
Tumors, Ministry of Education, Shenyang 110016, China
| | - Quan Gan
- State
Key Laboratory of Robotics, Shenyang Institute
of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes
for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Lianqing Liu
- State
Key Laboratory of Robotics, Shenyang Institute
of Automation, Chinese Academy of Sciences, Shenyang 110016, China
- Institutes
for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
| | - Zhenning Wang
- Department
of Surgical Oncology and General Surgery, The First Hospital of China Medical University, Shenyang 110016, China
- Key
Laboratory of Precision Diagnosis and Treatment of Gastrointestinal
Tumors, Ministry of Education, Shenyang 110016, China
| |
Collapse
|