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Multimodal Model for Efficacy Prediction Cetuximab in Colorectal Cancer Liver Metastasis Patient

Not Applicable
Not yet recruiting
Conditions
Colorectal Cancer Liver Metastases
Interventions
Registration Number
NCT05873972
Lead Sponsor
Fudan University
Brief Summary

Establishment and validation of the deep learning model of Cetuximab efficacy in simultaneous RAS wild unresectable CRLM patients

Detailed Description

Ras wild unresectable CRLM patients with primary tumor resection followed by Cetuximab in combination with chemotherapy were included in this study. The tumor response was assessed by local MDT group. Based on tumor response, almost 100 CRLM patients were classified into two groups (Clinician drived regimen vs Multi-omics model drived regimen). They will be the prospective cohort to validate our deep learning model for predicting Cetuximab efficacy.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
100
Inclusion Criteria
  1. Age 18-75 years;
  2. Histologically proven colorectal adenocarcinoma;
  3. Simultaneous liver-limited metastases;
  4. Initially unresectable liver metastases determined by a local MDT;
  5. Life expectancy of > 6 months;
  6. RAS and BRAF V600E wild-type;
  7. ECOG 0-1;
  8. Available CT imaging before treatment.
Exclusion Criteria
  1. Previous systemic treatment for metastatic disease;
  2. Previous surgery for metastatic disease;
  3. Extrahepatic metastases;
  4. Unresectable primary tumor;
  5. Major cardiovascular events (myocardial infarction, severe/unstable angina, congestive heart failure, CVA) within 12 months before randomisation;
  6. Acute or subacute intestinal obstruction;
  7. Second primary malignancy within the past 5 years;
  8. Drug or alcohol abuse;
  9. No legal capacity or limited legal capacity;
  10. Uncontrolled hypertension, or unsatisfactory blood pressure control with ≥3 antihypertensive drugs;

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
ARM ACetuximabChemotherapy regimens are determined based on the clinical experience of specialists
ARM BCetuximabChemotherapy regimens are determined based on the multimodal deep learning signature
Primary Outcome Measures
NameTimeMethod
response rate6 months

response rate will be assessed by local MDT

Secondary Outcome Measures
NameTimeMethod
progression free survival3 years

progression free survival will be assessed by local MDT every two months during treatment, and telephone follow-up every three month after treatment

overall survival3 years

overall survival will be assessed by researchers every two months during treatment, and telephone follow-up every three month after treatment

Trial Locations

Locations (2)

Zhongshan hosptial, Fudan University

🇨🇳

Shanghai, China

Zhongshan Hospital, Fudan University

🇨🇳

Shanghai, Shanghai, China

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