Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

The Drug Rediscovery Protocol (DRUP Trial)

The Netherlands Cancer Institute · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
Open Source ↗
cancerdnaneoplasmsequence-analysistumors
This is a prospective, non-randomized clinical trial that aims to describe the efficacy and toxicity of commercially available, targeted anticancer drugs\* prescribed for treatment of patients with advanced cancer with a potentially actionable variant as revealed by a genomic or protein expression test. The study also aims to simplify patient access to approved targeted therapies that are contributed to the program by collaborating pharmaceutical companies and to perform next generation sequencing on tumor biopsies for biomarker analyses. Eligible patients have an advanced solid tumor, multiple myeloma or B cell non-Hodgkin lymphoma for which standard treatment options are no longer available and acceptable performance status and organ function. A genomic or protein expression test must have been performed on the tumor and the results must identify at least one potentially actionable molecular variant as defined in the protocol. Results from the molecular profiling test will be used to determine an appropriate drug(s) from among those available in the protocol. The choice of drug will be supported by a list of potential profiles, a molecular tumor board, a knowledge library and by study coordinators for review and approval of the match. The protocol-specified treatment will be administered to the patient once any drug-specific eligibility criteria are confirmed and a fresh pre-treatment biopsy is performed for future genetic studies. All patients who receive treatment with a drug available in the protocol will be followed for standard efficacy outcomes including tumor response, progression-free and overall survival as well as duration of treatment. In addition, treatment related toxicity will be evaluated.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 894253
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive