The Sixth Affiliated Hospital, Sun Yatsen University
Guangzhou, Guangdong, China
Location status: Recruiting
NCT Number: NCT06364371
The goal of this observational study is to establish a dynamic multi-omics integration model for predicting pathological complete response (pCR) after neoadjuvant treatment in locally advanced (T3-4NxM0) rectal cancer, providing support for subsequent patient selection for the watch-and-wait strategy. The main question it aims to answer is:
What is the predictive value of this model to assess individual achievement of pathological complete response (pCR) after neoadjuvant treatment? Eligible patients will be prospectively enrolled, and the clinical features of their pre-neoadjuvant treatment, during-treatment, and post-treatment preoperative will be collected and annotated.
Interested in participating?
Request Info18 year–80 year
All sexes
Observational
Guangzhou, Guangdong, China
Location status: Recruiting
This is a single-center, prospective, observational phase II clinical study aimed at validating a dynamic multi-omics (imaging, pathology, molecular biomarkers) integration model for predicting pathological complete response (pCR) after neoadjuvant treatment in locally advanced (T3-4NxM0) rectal cancer. Specifically, the study aims to validate the predictive accuracy of the dynamic multi-omics prediction model and determine whether it outperforms other conventional prediction models based on single-modality imaging, pathology, and molecular biomarkers.
Eligible patients will be prospectively enrolled, and images of their pre-neoadjuvant treatment, during-treatment, and post-treatment preoperative magnetic resonance imaging (MRI) scans, histopathology slides stained with hematoxylin and eosin (H&E), carcinoembryonic antigen (CEA), and circulating tumor DNA (ctDNA) will be collected and annotated. MRI, H&E images, CEA, ctDNA, and their change features will be applied to the prediction model to assess individual achievement of pathological complete response (pCR) after neoadjuvant treatment. The predictive results will be further compared with the pathological tumor response obtained from resected specimens.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Eligible patients will be prospectively enrolled, and images of their pre-neoadjuvant treatment, during-treatment, and post-treatment preoperative magnetic resonance imaging (MRI) scans, histopathology slides stained with hematoxylin and eosin (H&E), carcinoembryonic antigen (CEA), and circulating tumor DNA (ctDNA) will be collected and annotated.
Time frame: through study completion, an average of 6 months
Area under curve of prediction model
Time frame: through study completion, an average of 6 months
Sensitivity of prediction model
Time frame: through study completion, an average of 6 months
Specificity of prediction model
Time frame: through study completion, an average of 6 months
negative predictive value of prediction model
Time frame: through study completion, an average of 6 months
positive predictive value of prediction model
Contact information is provided by the study sponsor or research team.
Jun Huang
CONTACT
Meijin Huang
CONTACT
Sixth Affiliated Hospital, Sun Yat-sen University
Other
A Study of the Clinical Value of Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer (T3-4NxM0)
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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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