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Clinical Trials/NCT05833802
NCT05833802
Enrolling By Invitation
Not Applicable

A Companion Trial in Silico: Computing Drug Response for Cancer Patients in Clinical Trials(PRincipal-001)

Peking University Cancer Hospital & Institute1 site in 1 country25 target enrollmentFebruary 15, 2023
ConditionsBreast Cancer

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Breast Cancer
Sponsor
Peking University Cancer Hospital & Institute
Enrollment
25
Locations
1
Primary Endpoint
consistency
Status
Enrolling By Invitation
Last Updated
3 years ago

Overview

Brief Summary

The goal of this observational study is to assess the performance of computational medicine technology in predicting patients response to anticancer drugs based on omics data.The main question it aims to answer is test consistency between the computing drug response and the response of real-world clinical trials. Participants will take part in silico.

Detailed Description

A companion trial in silico was planned to compare head-to-head with a real clinical study of anti-tumor registered new drugs to verify the consistency between the efficacy prediction results of virtual clinical studies and the efficacy results of traditional clinical trials. Subjects simultaneously entered real world clinical trials and virtual clinical trials built by computer modeling and artificial intelligence technology. The results of traditional clinical trials were compared with those of virtual clinical trials to calculate the consistency of virtual clinical trials. By predicting the population with consistent efficacy, locking the response population to new drugs, using the innovative technology of computational medicine, grasping the omics characteristics of the response population, and using this as a starting point to determine the target population of clinical trials, so as to determine new screening conditions, design new clinical trials, accurately match the effective population, and revolutionary change the efficiency of clinical trials, thereby shortening the process and cost of clinical trial development.

Registry
clinicaltrials.gov
Start Date
February 15, 2023
End Date
September 15, 2024
Last Updated
3 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
Peking University Cancer Hospital & Institute
Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • clinical diagnosis of triple-negative breast cancer
  • The subjects agreed to participate in the traditional clinical trial and signed informed consent.
  • The subjects agreed to participate in the virtual study and signed informed consent.

Exclusion Criteria

  • Subjects do not meet the inclusion criteria of traditional clinical trial.
  • Subjects suffered from other cancer disease

Outcomes

Primary Outcomes

consistency

Time Frame: 8 weeks after the first administration of the drug for subjects

To compare the consistency of the tumor response between two cohorts. Tumor response for Patients in traditional clinical trial cohort will be assessed by New response evaluation criteria in solid tumours v1.1. Tumor response for virtual patients in virtual study will be predicted by the trained model.The efficacy prediction model will be trained using 4-5 patients evaluated for tumor response according to New response evaluation criteria in solid tumours v1.1, including at least 2 patients with Complete Response or Partial Response . The training of this model is based on the Damage Assessment of Genomic Mutations algorithm(EBioMedicine. 2021 Jul;69:103446)with the input of patients' genomic data.

Study Sites (1)

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