AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
NCT ID: NCT06035250
Last Updated: 2023-09-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
200 participants
OBSERVATIONAL
2023-09-10
2029-12-31
Brief Summary
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Detailed Description
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Data Collection: The investigators will gather data from 1,800 retrospective cases and 200 prospective cases from multiple hospitals. The retrospective data will be divided into training and testing sets to train and validate the model, respectively. The model's performance will subsequently be evaluated using the prospective dataset.
Clinical Information: This encompasses the participant's gender, age, tumor markers, staging, type, specific treatment plans, pre and post-treatment lab results, etc.
Imaging Data: CT imaging data taken within one month prior to the neoadjuvant chemotherapy, with at least the venous phase CT imaging included.
Pathology Data: Pathology images from a gastric tumor biopsy stained with Hematoxylin and Eosin (HE) taken within one month prior to treatment.
TRG Grading: Based on the pathology report of the surgical samples using the Ryan TRG grading system.
Prognostic Endpoints: The recorded endpoints are a 3-year progression-free survival (PFS) and a 5-year overall survival (OS). All deaths due to non-disease factors are excluded from the prognosis analysis.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Gastric Cancer Patients Undergoing Neoadjuvant Chemotherapy
This group comprises participants diagnosed with advanced gastric cancer. The participants will be treated with standard neoadjuvant chemotherapy regimens recommended by clinical guidelines. Treatment details, including the generic name of the drugs, dosage form, dosage, frequency, and duration, will be recorded according to the specific regimen.
Neoadjuvant Chemotherapy
Participants in this group are diagnosed with gastric cancer and are scheduled to undergo neoadjuvant chemotherapy as a part of their treatment regimen. The specific chemotherapy drugs, dosages, and schedules will be determined according to established clinical guidelines and the participant's specific condition.
Interventions
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Neoadjuvant Chemotherapy
Participants in this group are diagnosed with gastric cancer and are scheduled to undergo neoadjuvant chemotherapy as a part of their treatment regimen. The specific chemotherapy drugs, dosages, and schedules will be determined according to established clinical guidelines and the participant's specific condition.
Eligibility Criteria
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Inclusion Criteria
* Pathologically diagnosed with advanced gastric cancer in accordance with the American AJCC's TNM staging standards;
* Have not undergone any systematic anti-cancer treatments before neoadjuvant chemotherapy and have not had surgery for local progression or distant metastasis;
* Received standard neoadjuvant chemotherapy as recommended by the clinical guidelines, and have documented treatment details;
* CT imaging and biopsy pathology images strictly taken within one month prior to starting neoadjuvant treatment;
* Patients possess comprehensive preoperative clinical information and post-operative TRG grading.
Exclusion Criteria
* Patients diagnosed with other concurrent tumors.
18 Years
ALL
No
Sponsors
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Peking University Cancer Hospital & Institute
OTHER
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
OTHER
Yunnan Cancer Hospital
OTHER
Henan Cancer Hospital
OTHER_GOV
Zhenjiang First People's Hospital
OTHER
First Hospital of China Medical University
OTHER
Cancer Hospital of Guangxi Medical University
OTHER
Peking University People's Hospital
OTHER
Tianjin Medical University Cancer Institute and Hospital
OTHER
The First Affiliated Hospital of Zhengzhou University
OTHER
Nanfang Hospital, Southern Medical University
OTHER
The Affiliated Hospital of Qingdao University
OTHER
Ruijin Hospital
OTHER
Sixth Affiliated Hospital, Sun Yat-sen University
OTHER
Peking Union Medical College Hospital
OTHER
Xiangya Hospital of Central South University
OTHER
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
OTHER
The First Affiliated Hospital of Soochow University
OTHER
First Affiliated Hospital, Sun Yat-Sen University
OTHER
Fujian Medical University Union Hospital
OTHER
Fujian Cancer Hospital
OTHER_GOV
San Raffaele University Hospital, Italy
OTHER
Chinese Academy of Sciences
OTHER_GOV
Responsible Party
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Di Dong
Professor
Principal Investigators
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Yali Zang, Ph.D.
Role: STUDY_DIRECTOR
Institute of Automation, Chinese Academy of Sciences
Locations
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Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Beijing, , China
Peking Union Medical College Hospital
Beijing, , China
Peking University Cancer Hospital & Institute
Beijing, , China
Peking University People's Hospital
Beijing, , China
Xiangya Hospital of Central South University
Changsha, , China
Fujian Cancer Hospital
Fuzhou, , China
Fujian Medical University Union Hospital
Fuzhou, , China
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Guangzhou, , China
First Affiliated Hospital, Sun Yat-Sen University
Guangzhou, , China
Nanfang Hospital of Southern Medical University
Guangzhou, , China
Sixth Affiliated Hospital, Sun Yat-sen University
Guangzhou, , China
Yunnan Cancer Hospital
Kunming, , China
Cancer Hospital of Guangxi Medical University
Nanning, , China
The Affiliated Hospital of Qingdao University
Qingdao, , China
Ruijin Hospital
Shanghai, , China
First Hospital of China Medical University
Shenyang, , China
The First Affiliated Hospital of Soochow University
Suzhou, , China
Tianjin Medical University Cancer Institute and Hospital
Tianjin, , China
Henan Cancer Hospital
Zhengzhou, , China
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, , China
Zhenjiang First People's Hospital
Zhenjiang, , China
San Raffaele University Hospital, Italy
Milan, , Italy
Countries
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Central Contacts
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Facility Contacts
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Xinming Zhao
Role: primary
Zhenyu Jin
Role: primary
Lei Tang
Role: primary
Yi Wang
Role: primary
Weihua Liao
Role: primary
Yangming Li
Role: primary
Changming Huang
Role: primary
Shuzhong Cui
Role: primary
Shenping Yu
Role: primary
Guoxin Li
Role: primary
Xiaochun Meng
Role: primary
Zhenhui Li
Role: primary
Guanqiao Jin
Role: primary
Hexiang Wang
Role: primary
Jun Zhang
Role: primary
Zhenning Wang
Role: primary
Jie Bao
Role: primary
Zhaoxiang Ye
Role: primary
Jing Li
Role: primary
Jianbo Gao
Role: primary
Xiuhong Shan
Role: primary
Francesco De Cobelli
Role: primary
Other Identifiers
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CASMI004
Identifier Type: -
Identifier Source: org_study_id
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