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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pancreatic cancer | Patients pathologically diagnosed with cancer or high-grade mucinous tumors based on surgical specimens or puncture samples |
| |
| Benign or low-grade malignant pancreatic tumor | Patients with pathological diagnoses such as low-grade intraductal papillary mucinous neoplasm (IPMN), mucinous cystadenoma, serous cystadenoma, chronic pancreatitis, neuroendocrine tumors, or solid pseudopapillary tumors |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 16s rRNA or shotgun metagenomics | Diagnostic Test | 16s rRNA or shotgun metagenomics on oral and fecal samples |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 | From enrollment to the end of treatment at 8 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a pancreatic tumor detected via imaging
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| Name | Affiliation | Role |
|---|---|---|
| Menghua Dai, MD | Peking Union Medical College Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of General Surgery, Peking Union Medical College Hospital (PUMCH) | Beijing | Beijing Municipality | China |
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| ID | Term |
|---|---|
| D010190 | Pancreatic Neoplasms |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
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16S rRNA or shot-gun metagenomics of oral and fecal samples from patients with pancreatic neoplasms
| D004066 |
| Digestive System Diseases |
| D010182 | Pancreatic Diseases |
| D004700 | Endocrine System Diseases |