IKS04 Regimen in Advanced Solid Tumors That Express CA242
NCT07738939
Adenocarcinoma, Biliary Tract Cancer (BTC)
Los Angeles, California, United States
View Trial DetailsNCT Number: NCT06690606
The goal of this observational study is to develop a predictive model for overall survival in patients under the age of 50 who have undergone surgery for early-onset colorectal cancer (EOCRC). The main question it aims to answer is:
Can machine learning models accurately predict the long-term survival of EOCRC patients after surgical treatment?
Participants who have already undergone surgery for EOCRC as part of their regular medical care will have their clinical data analyzed, with survival outcomes tracked through follow-up assessments. An online survival calculator will also be developed to aid clinicians and patients in predicting personalized survival outcomes.
Trial opening soon.
Get Notified18 year–49 year
All sexes
Observational
Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
To avoid duplicating information that will be entered or uploaded elsewhere in the record, here is a concise summary of the key components of the study:
This study addresses the increasing incidence and mortality of early-onset colorectal cancer (EOCRC) in patients under 50. EOCRC exhibits distinct clinical and pathological features compared to late-onset CRC, including higher recurrence rates and advanced disease stages at diagnosis. Current predictive models for postoperative outcomes in EOCRC are limited, highlighting the need for specialized tools to guide treatment decisions.
Comparisons were made using t-tests, Mann-Whitney U tests, and chi-square tests, with P < 0.05 indicating significance.
**Risk Stratification**: Risk groups were classified based on RSF-derived scores (low, intermediate, high), and survival differences were assessed via Kaplan-Meier curves and log-rank tests.
This streamlined summary covers the primary goals, methodology, and analysis without repeating specifics that will be detailed in other sections of the record.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 2024.11
Age, Gender, Race, Primary Site, Tumor Diameter, Differentiation Degree, Histology, TNM Stage, CEA, Surgery Type, Number of Resected Lymph Nodes, Tumor Deposits, Neural Invasion, Radiation Sequence, Chemotherapy Sequence, Systemic Therapy Sequence, Marital Status, Household Income, Survival Status, Postoperative Survival Time.
Contact information is provided by the study sponsor or research team.
Shanghai University of Traditional Chinese Medicine
Other
EOCRCPred: an AI Model for Predicting Overall Survival in Early-Onset Stage I-III Colorectal Cancer Patients Post-Radical Resection-A SEER Database and Dual-Center Chinese Medical Institutions Study
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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