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Effect of Gut Microbiota and Its Metabolites on the Efficacy of Immunotherapy in Metastatic Colorectal Cancer

Multi-omics Study of Intestinal Microecology in Patients with Colorectal Cancer Related to Immunotherapy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06714903
Enrollment
50
Registered
2024-12-04
Start date
2024-07-15
Completion date
2025-12-31
Last updated
2024-12-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Neoplasms Malignant

Keywords

Metastatic colorectal cancer, Immunotherapy, Gut microbiota, Prognosis, Metabolism

Brief summary

The purpose of this observational study is to understand the effect of gut microbiota on the efficacy of immunotherapy in patients with metastatic colorectal cancer and to explore the specific mechanisms of this process. In this way, it provides new ideas for the clinical treatment of colorectal cancer.

Detailed description

This study is a single-center, prospective, observational study. This study plans to enroll 50 patients with mCRC who received immunotherapy. Stool and blood samples were collected from patients with mCRC before receiving immunotherapy (baseline) and after one cycle of immunotherapy and stored immediately in a -80°C freezer. Six months after treatment with a PD-1 inhibitor in combination with fruquintinib, patients with mCRC were evaluated radiographically according to the modified RECIST1.1 criteria for immunotherapy (iRECIST) and were divided into responsive and non-responsive groups. In this study, we intend to use metagenomic sequencing to screen the key intestinal microbiota that affect the efficacy of PD-1 inhibitors and predict their possible functional pathways in patients with metastatic colorectal cancer receiving anti-PD-1 immunotherapy. Then, proteomics and metabolomics methods were used to screen differential proteins and metabolites, and the correlation analysis with key intestinal microbiota was carried out, and the efficacy of immunotherapy in patients with mCRC was evaluated. Finally, the above findings were verified in animal models, and then the specific mechanism of intestinal microbiota affecting the efficacy of PD-1 inhibitors was explained by taking the changes in body metabolism and immunity as the starting point.

Interventions

OTHERtreatment option-sintilimab plus fruquintinib

sintilimab plus fruquintinib

OTHERtreatment option-fruquintinib alone

fruquintinib alone

Sponsors

The First Hospital of Jilin University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
35 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Clinical and pathological diagnosis of metastatic colorectal cancer * 35-75 years old (both ends inclusive) * complete clinical information * signed informed consent

Exclusion criteria

* combined with severe respiratory and circulatory diseases * combined with other malignant tumors * recent severe active bleeding, uncontrolled active infection or active peptic ulcer * moderate to severe renal insufficiency * other circumstances that are judged by the investigator to be unsuitable for participating in this study

Design outcomes

Primary

MeasureTime frameDescription
Evaluation of efficacysix months after treatmentSix months after treatment with a PD-1 inhibitor in combination with fruquintinib, patients with mCRC were evaluated radiographically according to the modified RECIST1.1 criteria for immunotherapy (iRECIST) and were divided into responsive and non-responsive groups. Patients are classified as responders if they achieve an objective response (complete or partial response or stable disease for at least 6 months), while patients are classified as non-responders if they have progressed on treatment or have stable disease for less than 6 months.

Countries

China

Contacts

Primary ContactNan Zhang
zhangnan@jlu.edu.cn18686440802

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026