Predictive Value of Air Pollution and Metabolomics for Gastric Cancer.
NCT06641700 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2024-10-16
Summary
As one of the common malignant tumours worldwide, gastric cancer continues to have a high incidence and mortality rate, especially in Asia. Although a large number of studies have focused on its underlying genetic and lifestyle factors, the specific role of environmental factors in gastric cancer development and progression has not been fully elucidated. Air pollution, a growing environmental problem, and its major components such as PM2.5, PM10, and NO2 have been shown to be closely associated with the occurrence and development of many chronic diseases. Recent studies have gradually revealed the association between air pollution and certain cancer types (e.g., lung cancer), but its relationship with gastric cancer remains relatively unexplored. Against this background, the application of metabolomics provides new perspectives and methods to study the association between gastric cancer and environmental factors. Metabolomics is capable of systematically analysing the metabolite composition and changes in individuals under different environmental exposures, revealing the potential effects of environmental factors, such as air pollution, on individual metabolic functions. By combining air pollution data and metabolomics analysis, investigators can deeply explore the role of environmental factors in the occurrence, development and prognosis of gastric cancer, and thus provide a scientific basis for the development of prevention and treatment strategies.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
diagnosed with gastric cancer
Pathological biopsy confirmed the diagnosis of gastric cancer.
Sponsors & Collaborators
-
Dong Peng
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-10-01
- Primary Completion
- 2026-10-01
- Completion
- 2029-10-01
Countries
- China
Study Locations
More Related Trials
-
Development of Novel Gastric Cancer Screening and Diagnosis Technologies Using Tongue Imaging and Study of Tongue Image Changes Mechanisms
NCT06078930 ·Status: RECRUITING
-
The Establishment and Clinical Application of a Prediction Model of Lung Cancer Distant Metastasis Based on the Genomic Characteristics of Circulating Tumor Cells
NCT04568720 ·Status: UNKNOWN
-
A Study of the Interaction Between Tumor Susceptibility Gene Glycine N-methyltransferase (GNMT) and Lung Cancer
NCT01452971 ·Status: UNKNOWN
-
Explainable Machine Learning for Predicting Early Gastric Cancer
NCT07047937 ·Status: ENROLLING_BY_INVITATION
-
The Application Value of Spectral CT in the Accurate Staging of Gastric Cancer
NCT06977386 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
AI-Based Prediction of Lymph Node Metastasis in Gastric Cancer Using Preoperative Multimodal Data
NCT06957678 ·Status: ENROLLING_BY_INVITATION
-
Epidemiologic, Laboratory, and Clinical Characterization of Individuals With Cancer.
NCT00251563 ·Status: UNKNOWN
-
Dynamic Changes of Circulating Tumor DNA in Late Stage NSCLC Patients
NCT02804100 ·Status: UNKNOWN
-
Detecting Lung Cancer Based on Exhaled Breath
NCT04419207 ·Status: COMPLETED
-
Pulmonary Ventilation/Perfusion Imaging for the Prediction of Postoperative Residual Pulmonary Function
NCT03357094 ·Status: UNKNOWN
-
A Study of Real-world Treatment Patterns and Outcomes in Chinese Advanced NSCLC Patients Who Previously Received at Least 2 Line Treatments
NCT06617390 ·Status: COMPLETED
-
Development and Application of Molecular Evaluation Instrument for Lung Cancer Diagnosis and Treatment
NCT06086587 ·Status: NOT_YET_RECRUITING
-
Decoding the Association of Imaging and Tumor Microenvironment in Lung Cancer Using Radiogenomic Approach(Radiogenomics-Lung)
NCT06500312 ·Status: RECRUITING
-
CT Body Composition Enhances Survival Risk Stratification
NCT07109271 ·Status: COMPLETED
-
Multi-omics Study of Early-stage Lung Cancer With Distinct Phenotypes
NCT06699979 ·Status: RECRUITING
-
68Ga-grazytracer PET/CT for Early Assessment of Response to Neoadjuvant Immunotherapy in Resectable NSCLC
NCT06756217 ·Status: RECRUITING
-
Survival Outcomes of Lung Cancer
NCT03647098 ·Status: RECRUITING
-
Hematological Dynamic Scores for Predicting Survival and Treatment Response for Advanced Gastric Cancer After Neoadjuvant Therapy
NCT06573307 ·Status: COMPLETED
-
Multi-dimensional Signatures for Precisely Predicting the Response and Prognosis of Lung Cancer Patients
NCT04980352 ·Status: UNKNOWN
-
Changes in Body Composition of Patients With Obesity Related Tumors and Their Impact on Clinical Outcomes: a Multicenter Prospective Cohort Study
NCT07161167 ·Status: NOT_YET_RECRUITING
-
SERS-Based Serum Molecular Spectral Detection of Invasive Lung Cancer
NCT06775015 ·Status: NOT_YET_RECRUITING
-
Circulating Tumor DNA in Surgical Lung Cancer Patients
NCT03081741 ·Status: UNKNOWN
-
Prospective Screening Programme for Malignant Tumors
NCT04230200 ·Status: UNKNOWN
-
Identify Prognostic Biomarkers of Lung Cancer
NCT05010330 ·Status: UNKNOWN
-
Application of Detecting Circulating Tumor Cells in the Accurate Treatment of Early Stage Lung Adenocarcinoma
NCT02951897 ·Status: UNKNOWN ·Phase: NA