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

Multimodal Deep Learning Radiomic Nomogram for Evaluation of Response to Cetuximab in Patient With Colorectal Cancer Liver Metastasis

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05873972
Enrollment
100
Registered
2023-05-24
Start date
2023-06-01
Completion date
2024-12-31
Last updated
2023-05-24

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

Conditions

Colorectal Cancer Liver Metastases

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.

Interventions

DRUGCetuximab

AEM A:The specialist's decision to add cetuximab to chemotherapy will be based on their own judgment ARM B:The patient's CT imaging,genetic mutation information were input into the signature, and the FOLFOX+cetuximab regimen was selected when the output label was 1. FOLFOX+bevacizumab chemotherapy regimen was selected when the output label was 0

Sponsors

Fudan University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

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

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;

Design outcomes

Primary

MeasureTime frameDescription
response rate6 monthsresponse rate will be assessed by local MDT

Secondary

MeasureTime frameDescription
progression free survival3 yearsprogression free survival will be assessed by local MDT every two months during treatment, and telephone follow-up every three month after treatment
overall survival3 yearsoverall survival will be assessed by researchers every two months during treatment, and telephone follow-up every three month after treatment

Countries

China

Contacts

Primary ContactJianmin Xu, MD
xujmin@aliyun.com+86-021-64041990
Backup ContactWenju Chang, MD
chang.wenju@zs-hospital.sh.cn+86-021-64041990

Outcome results

None listed

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