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

Body Mass Index and Lipid Metabolism in Relation to Anti-PD-1 Immunotherapy in Colorectal Cancer: A Retrospective Observational Study With Lipidomic Profiling

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07012174
Enrollment
142
Registered
2025-06-10
Start date
2019-01-01
Completion date
2025-04-30
Last updated
2025-06-10

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

Conditions

Colo-rectal Cancer

Brief summary

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

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.

Interventions

None listed

Sponsors

Sun Yat-sen University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Progression-Free SurvivalUp to 36 monthsTime from initiation of anti-PD-1 therapy to documented disease progression or death from any cause, whichever occurs first.

Countries

China

Outcome results

None listed

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