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临床试验/NCT07161921
NCT07161921已完成不适用

Integrative Metagenomic and Metabolomic Profiling Identifies Gut Microbiota and Metabolite Signatures Associated With Lymph Node Metastasis in Pancreatic Cancer

Peking Union Medical College Hospital1 个研究点 分布在 1 个国家目标入组 55 人开始时间: 2021年5月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
55
试验地点
1
主要终点
microbiota profiles

研究概览

简要总结

This study investigates the association between gut microbiota and lymph node metastasis (LNM) in pancreatic cancer. While gut microbial dysbiosis has been linked to pancreatic cancer development and distant metastasis, its role in LNM remains unclear. By comparing the gut microbiota and metabolite profiles of patients with and without LNM, the study aims to identify key microbial and metabolic signatures linked to metastasis. Additionally, predictive models will be developed to facilitate preoperative identification of high-risk patients, with the goal of improving clinical decision-making and treatment planning.

详细描述

Pancreatic cancer is one of the most aggressive malignancies of the digestive system, characterized by an insidious onset, early lymph node metastasis (LNM), poor prognosis, and resistance to chemotherapy and radiotherapy. LNM is recognized as an independent prognostic factor affecting patient survival.

Dysbiosis of the gut microbiota has been implicated in cancer development and progression by influencing metabolic and immune functions. Previous studies demonstrated that gut microbiota is altered in patients with pancreatic cancer, and microbial signatures may serve as potential diagnostic markers. Moreover, gut microbiota has been reported to predict distant metastasis in pancreatic cancer patients. However, the relationship between gut microbiota and lymph node metastasis in pancreatic cancer remains unexplored.

This study aims to characterize the differences in gut microbial composition between pancreatic cancer patients with and without LNM, identify key microbial taxa and metabolites associated with LNM, and elucidate their potential roles in mediating metastasis. Furthermore, we seek to develop predictive models based on microbiome and metabolite profiles for LNM to facilitate preoperative identification of high-risk patients, ultimately optimizing clinical decision-making and therapeutic strategies.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
18 Years 至 75 Years(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •18-75 years
  • •Agree to participate in the study

排除标准

  • •A prior diagnosis of other malignancies, infectious diseases, psychiatric or neurodegenerative disorders, or conditions affecting the oral or gastrointestinal systems;
  • •Recent medical treatments or procedures within specific time frames, including: (a) Use of antibiotics, hormone therapy, or immunosuppressive agents within the past three months. (b) Undergoing gastrointestinal reconstructive surgery within the past three months. (c) Regular use of laxatives, antidiarrheal medications, or high-dose probiotics within the past month. (d) Participation in gastrointestinal examinations within the past three days

结局指标

主要结局

microbiota profiles

时间窗: Through the completion of study, an average of 3 years

microbiota profile by metagenomic of the two groups

次要结局

  • metabolite profiles(Through the completion of study, an average of 3 years)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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