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

Molecular Stethoscope

Scripps Translational Science Institute · 2015
ClinicalTrials.gov · Datasets · License: Public Domain · 2015
Open Source ↗
The study aims to provide a more complete characterization and understanding of the genetic causes of and tumor DNA detection potential in colorectal cancer. Ultimately findings of this study will be used to develop early detection tests for colorectal cancer that are minimally invasive (based on a blood test). It is hoped that reliable, minimally invasive, early detection methods will lead to improved screening rates, increased screening safety, longer colorectal cancer survival, and overall cost savings. In order to assess the test's ability to detect tumor DNA, 25 participants with known colorectal cancer who will be undergoing surgical resection of the colon as part of their clinical care will be recruited. The investigators will collect blood from participants prior to surgery, tumor and normal tissue removed during surgery, a series of blood samples after surgery for up to one year and relevant medical records. DNA variants identified in blood will be compared against tissue samples. Serial samples will be analyzed to assess the variance in amount of circulating tumor DNA across time with standard treatment.
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 828632
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