Impact of Body Mass Index and Lipid Metabolism on Anti-PD-1 Immunotherapy Outcomes in Colorectal Cancer

NCT ID: NCT07012174

Last Updated: 2025-06-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

142 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-01-01

Study Completion Date

2025-04-30

Brief Summary

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This observational study aims to evaluate the impact of body mass index (BMI) and dyslipidemia on the effectiveness of anti-PD-1 immunotherapy in patients with colorectal cancer (CRC). A total of 142 patients treated with immune checkpoint inhibitors at Sun Yat-sen University Cancer Center were retrospectively analyzed. The study assessed progression-free survival (PFS) based on BMI and lipid profiles. Lipidomic profiling was also performed to explore potential metabolic mechanisms. The aim of this study was to identify simple, clinically applicable biomarkers to guide treatment decisions for CRC patients receiving immunotherapy.

Detailed Description

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This retrospective observational study investigates the prognostic value of body mass index (BMI) and dyslipidemia in colorectal cancer (CRC) patients treated with anti-PD-1 immune checkpoint inhibitors (ICIs). A total of 142 patients were included, all of whom received at least two cycles of PD-1 inhibitors, including Camrelizumab, Nivolumab, Pembrolizumab, Sintilimab, Tislelizumab, or Toripalimab, at Sun Yat-sen University Cancer Center between January 1, 2019, and December 31, 2022.

The primary objective of the study was to evaluate progression-free survival (PFS) stratified by BMI and lipid profile status. Patients were grouped by BMI into normal (\<24 kg/m²) and overweight (≥24 kg/m²) categories, based on WHO standards for the Chinese population. Dyslipidemia was defined according to standard lipid thresholds. Kaplan-Meier and Cox proportional hazard models were used for survival analysis. Additionally, a subset of 12 patients underwent pre-treatment serum lipidomic profiling using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to explore potential metabolic mechanisms contributing to differential responses.

Conditions

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Colo-rectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

Age ≥ 18 years at time of diagnosis

Histologically confirmed colorectal adenocarcinoma

Received at least two doses of anti-PD-1 immune checkpoint inhibitor therapy (e.g., Camrelizumab, Nivolumab, Pembrolizumab, Sintilimab, Tislelizumab, or Toripalimab)

Availability of baseline body mass index (BMI) and lipid profile within 30 days prior to ICI initiation

Adequate clinical records for retrospective data collection

Signed informed consent for data usage (if applicable to retrospective cohort)

Exclusion Criteria

Participation in another interventional clinical trial during the study period

Incomplete PD-1 treatment (\< 2 cycles)

Severe immune-related adverse events leading to early discontinuation of immunotherapy

Missing or incomplete BMI or lipid profile data

Loss to follow-up prior to outcome assessment
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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Pei-Rong Ding

Director of the Department of Colorectal Surgery

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Peirong Ding

Role: PRINCIPAL_INVESTIGATOR

Sun Yat-sen University

Locations

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Sun Yat-sen University Cancer Center

Guangzhou, Guangdong, China

Site Status

Countries

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China

Other Identifiers

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82373431, 82202947, 82473395,

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

No.G2023-176-01

Identifier Type: -

Identifier Source: org_study_id

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