Ignite Creation Date:
2024-10-26 @ 3:42 PM
Last Modification Date:
2024-10-26 @ 3:42 PM
Study NCT ID:
NCT06641700
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
None
First Post:
2024-10-13
Brief Title:
Predictive Value of Air Pollution and Metabolomics for Gastric Cancer
Sponsor:
None
Organization:
None
Study Overview
Official Title:
The Development and Prognosis of Gastric Cancer Based on Air Pollution and Metabolomics
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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 PM25 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 eg 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
Detailed Description:
In this study clinical data blood urine and stool specimens were collected by including patients in the healthy control group and gastric cancer group The air pollution indicators metabolomics determination and macro genomic determination were extracted from clinical data blood and stool respectively The extracted air pollution metabolomics and intestinal microbiota data were integrated and analysed Based on machine learning a comprehensive model was constructed to screen the key indicators that play a role in the development of gastric cancer and construct a prediction model for gastric cancer development The aim of this study is to investigate how environmental metabolic and microbiota factors affect the occurrence and development of gastric cancer Secondly metabolic markers specific to gastric cancer patients can also be identified providing a basis for early diagnosis early intervention and individualised treatment
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None