Significant gaps exist in understanding the gastrointestinal microbiota in patients with pancreatic cancer (PCA) versus benign or low-grade malignant pancreatic tumors (NPCA). This study aimed to analyze these microbiota characteristics and explore their potential use in distinguishing malignant pancreatic lesions.
In the past decade, microbiome research has rapidly progressed, revealing the critical roles of fecal and oral microbiota in maintaining internal homeostasis. Studies employing 16S rRNA and metagenomics have highlighted dysbiosis of the fecal and oral microbiota as closely linked to PCA development and progression. However, significant gaps exist in understanding the fecal and oral microbiota in patients with pancreatic cancer (PCA) versus benign or low-grade malignant pancreatic tumors (NPCA). This study aimed to analyze fecal and oral microbiota characteristics, and to establish classifiers to discriminate PCA from NPCA, providing a reference for early clinical identification of malignant tumors.
Study Type
OBSERVATIONAL
Enrollment
121
16s rRNA or shotgun metagenomics on oral and fecal samples
Department of General Surgery, Peking Union Medical College Hospital (PUMCH)
Beijing, Beijing Municipality, China
the accuracy of the diagnostic classifier
we used random forest algorithm to construct oral and fecal microbiome classifiers to discriminate PCA and NPCA. AUC value was used to evaluate the efficacy of the classifiers
Time frame: From enrollment to the end of treatment at 8 weeks
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