Gut Microbiota, Metachronous Adenoma
Conditions
Keywords
Microbiota, Metachronous Adenoma, Colorectal Cancer, Colonoscopy
Brief summary
Patients with colorectal cancer are known to be at high risk of developing metachronous adenoma, however, participation in colonoscopy are low. Colonoscopy, the primary modality used all over the word, is costly and invasive, and its efficacy depends on the endoscopist's skill and the patient's bowel preparation. As life expectancy of patients with history of colon cancer is increasing, colonoscopy would increase the overall cost for patients and for the health care system. This study aim to construct a predictive model of postoperative colorectal neoplasm development using microbiota analysis.
Detailed description
Colorectal cancer(CRC) is one of the most common malignancies in China and in Western countries. Furthermore, those with a history of CRC are at a higher risk for developing metachronous adenomas or CRC recurrence during the followup period. It has been reported that 0.7% of patients develop metachronous CRC during the 3 years after surgical resection for the initial CRC. Surveillance colonoscopy is highly recommended by major international scientific societies with the intent of either detecting anastomotic recurrence at an early, curable stage or identifying metachronous premalignant(ie, adenomas) and malignant lesions. As life expectancy of patients with history of colon cancer is increasing, the costly and invasive postoperative examination increased the overall cost and suffering for patients. The human colon plays host to a diverse and metabolically complex community of microorganisms. While colonic microbiome development along the colorectal adenoma-carcinoma sequence. Investigators speculate that gut microbiota related to metachronous adenoma or CRC, after curative treatment. This study aim to discover if any difference of gut microbiota exist in patients who suffer from metachronous adenomas compared with patients who do not. Further try to seek the divergence microbiota of metachronous adenomas between Proximal and Distal Colorectum. construct a predictive model of postoperative colorectal neoplasm development using microbiota analysis. Finally, using microbita construct a predictive model of postoperative colorectal neoplasm development.
Interventions
None listed
Sponsors
First Affiliated Hospital of Harbin Medical University
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
35 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
* Requirements of informed consent and assent of participant, parent or legal guardian as applicable * Patients who underwent exhaustive colorectal cancer surgical resection and accept colonoscopy * Patients between the age of 35 and 75 years old without considering sex * Patients with BMI= 18.5-23.9 * Participants can follow the visit plan
Exclusion criteria
* Patients with colorectal cancer with distant metastasis * Chronic renal diseases and hepatic cirrhosis * Chronic ischemic heart disease with unstable angina, chronic heart failure at class III or IV and acute myocardial infarction in the last 6 months * Individuals with a history of Chronic diarrhea * Individuals with a history of Diabetes mellitus * Individuals with a history of Hypertension * Individuals with a history of autoimmune diseases * Use of antibiotics and probiotics 3 mouth before samples collection * Individuals with a history of abdominal operation due to any reason * Individuals with any history of cancer other than colorectal cancer * Individuals with Inflammatory bowel disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Differences In Microbiota | 1, 3 and 5 years after surgery | The diversity, structure of microbiota and relative abundance of special bacterial taxa 16S rRNA gene sequencing will be performed. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Predictive model establish | June to August of 2018 | Using microbita construct a predictive model of postoperative colorectal neoplasm development. |
| Predictive model validation | August of 2018 to April of 2019 | Validation the accuracy of the predictive model. |
Countries
China
Contacts
Primary ContactYunwei Wei
Backup ContactYe Jin
Outcome results
None listed