Specificity of Metabolic Colorectal Cancer Biomarkers in Serum Through Effect Size.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'INTRODUCTION___ Colorectal cancer is one of the most diagnosed cancers, leading to a large number of deaths. In addition to existing screening methods, metabolic profiling can help both to diagnose and to understand the various states of the disease. Objectives We aimed to find candidate biomarkers (CB) of the active state of colorectal cancer that are specific to it, in comparison to the remission state of the disease evaluated on distinct patients (cross-sectional study).___METHODS___ All serum samples were analyzed using comprehensive two-dimensional gas chromatography (GC×GC) coupled to high resolution time of flight mass spectrometry through an optimized and validated untargeted analytical method regulated by a quality control (QC) system. First, we used a specific multi-approaches data (pre)processing workflow to highlight, an' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Colorectal cancer","Comprehensive gas chromatography","GCxGC","QC system","Untargeted metabolomics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'INTRODUCTION___ Colorectal cancer is one of the most diagnosed cancers, leading to a large number of deaths. In addition to existing screening methods, metabolic profiling can help both to diagnose and to understand the various states of the disease. Objectives We aimed to find candidate biomarkers (CB) of the active state of colorectal cancer that are specific to it, in comparison to the remission state of the disease evaluated on distinct patients (cross-sectional study).___METHODS___ All serum samples were analyzed using comprehensive two-dimensional gas chromatography (GC×GC) coupled to high resolution time of flight mass spectrometry through an optimized and validated untargeted analytical method regulated by a quality control (QC) system. First, we used a specific multi-approaches data (pre)processing workflow to highlight, an' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
INTRODUCTION___ Colorectal cancer is one of the most diagnosed cancers, leading to a large number of deaths. In addition to existing screening methods, metabolic profiling can help both to diagnose and to understand the various states of the disease. Objectives We aimed to find candidate biomarkers (CB) of the active state of colorectal cancer that are specific to it, in comparison to the remission state of the disease evaluated on distinct patients (cross-sectional study).___METHODS___ All serum samples were analyzed using comprehensive two-dimensional gas chromatography (GC×GC) coupled to high resolution time of flight mass spectrometry through an optimized and validated untargeted analytical method regulated by a quality control (QC) system. First, we used a specific multi-approaches data (pre)processing workflow to highlight, an
Colorectal cancer; Comprehensive gas chromatography; GCxGC; QC system; Untargeted metabolomics