RecruitingNCT06062927

Geno-radiomics Based Model for Evaluation of Immunotherapy and Targeted Therapy for Advanced Soft Tissue Sarcoma

Geno-radiomics Based Model for Response and Prognostic Evaluation of Immunotherapy and Targeted Therapy for Advanced Soft Tissue Sarcoma


Sponsor

Peking Union Medical College Hospital

Enrollment

60 participants

Start Date

Feb 2, 2023

Study Type

OBSERVATIONAL

Conditions

Summary

In this study, a new post-processing image technology - radiomics is used to screen out parameters of CT and MRI images, which could effectively evaluate the efficacy and prognosis of immunotherapy plus targeted therapy for soft tissue sarcoma (STS). A reliable and effective model for predicting the prognosis of STS will be established based on the radiomic parameters combined with traditional imaging, histophiological, whole exome sequencing (WES) results, inflammatory indicators and changes in the number and function of lymphocyte subsets before and after medication. Patients with advanced STS who may benefit from the combination therapy can be found out by this model.


Eligibility

Min Age: 18 YearsMax Age: 75 Years

Plain Language Summary

Simplified for easier understanding

This study is building a predictive model combining genomic data (tumor genetics) and radiomic data (patterns extracted from imaging scans) to help guide immunotherapy and targeted therapy decisions for patients with advanced soft tissue sarcoma. **You may be eligible if...** - You are between 18 and 75 years old - You have been diagnosed with unresectable locally advanced or metastatic soft tissue sarcoma, including types such as leiomyosarcoma, angiosarcoma, fibrosarcoma, epithelioid sarcoma, and others - You are scheduled to receive immunotherapy or targeted therapy **You may NOT be eligible if...** - You have certain excluded cancer types (gastrointestinal stromal tumor, osteosarcoma, chondrosarcoma, etc.) - Your tumor cannot be biopsied - You have severe organ problems affecting treatment safety Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(1)

Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Beijing, Beijing Municipality, China

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NCT06062927


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