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Chen W, Liu X, Wang H, Dai J, Li C, Hao Y, Jiang D. Exploring the immune escape mechanisms in gastric cancer patients based on the deep AI algorithms and single-cell sequencing analysis. J Cell Mol Med 2024; 28:e18379. [PMID: 38752750 PMCID: PMC11097712 DOI: 10.1111/jcmm.18379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 03/30/2024] [Accepted: 04/08/2024] [Indexed: 05/19/2024] Open
Abstract
Gastric cancer is a prevalent and deadly malignancy, and the response to immunotherapy varies among patients. This study aimed to develop a prognostic model for gastric cancer patients and investigate immune escape mechanisms using deep machine learning and single-cell sequencing analysis. Data from public databases were analysed, and a prediction model was constructed using 101 algorithms. The high-AIDPS group, characterized by increased AIDPS expression, exhibited worse survival, genomic variations and immune cell infiltration. These patients also showed immunotherapy tolerance. Treatment strategies targeting the high-AIDPS group identified three potential drugs. Additionally, distinct cluster groups and upregulated AIDPS-associated genes were observed in gastric adenocarcinoma cell lines. Inhibition of GHRL expression suppressed cancer cell activity, inhibited M2 polarization in macrophages and reduced invasiveness. Overall, AIDPS plays a critical role in gastric cancer prognosis, genomic variations, immune cell infiltration and immunotherapy response, and targeting GHRL expression holds promise for personalized treatment. These findings contribute to improved clinical management in gastric cancer.
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Affiliation(s)
- Wenli Chen
- Department of General SurgeryThe Affiliated Bozhou Hospital of Anhui Medical UniversityBozhouAnhuiChina
| | - Xiaohui Liu
- Department of Nursing, Xiangya HospitalCentral South UniversityChangshaChina
| | - Houhong Wang
- Department of General SurgeryThe Affiliated Bozhou Hospital of Anhui Medical UniversityBozhouAnhuiChina
| | - Jingyou Dai
- Department of Pediatric SurgeryThe Affiliated Bozhou Hospital of Anhui Medical UniversityBozhouAnhuiChina
| | - Changquan Li
- Department of General SurgeryThe Affiliated Bozhou Hospital of Anhui Medical UniversityBozhouAnhuiChina
| | - Yanyan Hao
- Department of Articular SurgeryThe Affiliated Bozhou Hospital of Anhui Medical UniversityBozhouAnhuiChina
| | - Dandan Jiang
- The Second Affiliated Hospital, Department of Emergency, Hengyang Medical SchoolUniversity of South ChinaHengyangChina
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He Z, Du C, Cheng B, Feng J, Wang N, Ma Y, Li L, Zhang B, Wang H, Tang P, Chai N, Linghu E. Endoscopic resection for the treatment of gastric gastrointestinal stromal tumors: a retrospective study from a large tertiary hospital in China. Surg Endosc 2024; 38:1398-1405. [PMID: 38148402 DOI: 10.1007/s00464-023-10619-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 11/28/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND AND AIMS With the continuous development of endoscopic technology, endoscopic resection (ER) has gradually become an optional method for the treatment of gastric gastrointestinal stromal tumors (GISTs). However, studies with a large sample or a long follow-up are lacking. Therefore, this research aims to evaluate the efficacy and safety of ER for gastric GISTs in the real-world setting with more than 300 enrolled patients and a follow-up period longer than 45 months. METHODS From January 2013 to February 2023, 409 patients with a pathological diagnosis of GISTs after ER were retrospectively enrolled in this study. After excluding 86 patients with non-gastric GISTs, we assessed 323 patients with gastric GISTs. The main outcome measures were en bloc resection, complete resection, residual disease, recurrence, and complications. RESULTS There were 194 (60.06%) females and 129 (39.94%) males, and the median age of the included patients was 58 years (51, 63). The median tumor size was 15.0 (10.0, 20.0) mm. According to the modified NIH criteria, 246 (75.85%) patients were classified as very low risk, 62 (19.20%) were classified as low risk, 12 (3.72%) were classified as moderate risk, and 3 (0.93%) were classified as high risk. A total of 287 (88.85%) patients achieved en bloc resection, and 287 (88.85%) also achieved complete resection. Only one patient showed residual and no recurrent lesions were noted during the follow-up. Regarding complications, three patients had complications, with a complication rate of 0.93%, and no severe complications requiring surgical intervention occurred. CONCLUSION ER is an appropriate alternative method for the treatment of gastric GISTs, with an en bloc resection rate of 88.85% and a complication rate of 0.93%. No recurrence was noted during follow-up, even for GISTs with piecemeal resection.
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Affiliation(s)
- Zhengting He
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Chen Du
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Bingqian Cheng
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Jiancong Feng
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Nanjun Wang
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Yan Ma
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Longsong Li
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Bo Zhang
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Hongbin Wang
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Ping Tang
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Ningli Chai
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
| | - Enqiang Linghu
- Senior Department of Gastroenterology, The First Medical Center of PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
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Chen H, Liu SY, Huang SH, Liu M, Chen GX. Applications of artificial intelligence in gastroscopy: a narrative review. J Int Med Res 2024; 52:3000605231223454. [PMID: 38235690 PMCID: PMC10798083 DOI: 10.1177/03000605231223454] [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: 09/20/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024] Open
Abstract
Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently incorporated artificial intelligence (AI) technology to alleviate the challenges involved in endoscopic diagnosis of some lesions, thereby enhancing diagnostic accuracy. This narrative review covers the current status of research concerning various applications of AI technology to gastroscopy, then discusses future research directions. By providing this review, we hope to promote the integration of gastroscopy and AI technology, with long-term clinical applications that can assist patients.
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Affiliation(s)
- Hu Chen
- The First Clinical Medical School, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Shi-yu Liu
- Department of Gastroenterology, Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Si-hui Huang
- Department of Gastroenterology, Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Min Liu
- School of Chemical Engineering & Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
| | - Guang-xia Chen
- Department of Gastroenterology, Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu, China
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