Liquid biopsy database Blood Profiling Atlas officially launched

Release date: 2016-11-01

Recently, the water biopsy database Blood Profiling Atlas, a joint project of 20 famous American academic institutions and drug diagnostic developers, was officially launched. As part of the Cancer Month Program, the project aims to advance the further development of blood analysis and diagnostic techniques.

It is understood that the database will coordinate the collection of circulating tumor cells (CTC), circulating tumor DNA (ctDNA), exogenous body test raw data and selective clinical data from various research institutes and hospitals in the United States and provide them free of charge.

Andrew Gruen, marketing director of Seven Bridges, a member of the project, told reporters, "Our goal is to achieve a large number of clinical data analysis homing and deep mining in the next 45-60 days."

Recently, Seven Bridges, a developer of biomedical data analysis software, is working with the University of Chicago to plan the database portion of the project. The company said it is committed to providing six months of engineering, bioinformatics services and up to $500,000 in computing and storage information to facilitate the development and application of analytics software. Project leader Gruen said, “If we can do this successfully, then we will start a great forward-looking study that truly understands the tens of billions of data we have.”

The blood samples involved in the project were from AstraZeneca, Eli Lilly, Epic Sciences, Sloan Kettering Cancer Center (MSK), Foundation Medicine, Genentech, Guardant Health, Personal Genome Diagnostics (PGDx), Novartis, Pfizer, etc. 13 companies and research institutions.

MSK (Sloan Kettering Cancer Center) stated that it is willing to share blood sample collection methods, cell-free nucleic acid analysis comparison results for different treatment methods, and CTC data from patients with metastatic prostate cancer. These data will help explain the impact of past treatment effects.

MSK researcher Dr. Scher emphasized: "Prostate cancer is a cancer that is difficult to confirm by biopsy. It does not spread between the tumors, but infiltrates the bone marrow, which makes it difficult to detect. Therefore, we will be based on Epic Sciences. The experimental method further provides CTC characterization data for prostate cancer at the phenotypic and genomic level and is working with Epic on a cell classification method that if cells look similar, they may have similar genetic alterations to achieve classification The purpose of the cell."

In addition, PGDx will also submit data from 500 samples and transfer the generated data to the Atlas terminal with its biopharmaceutical laboratory partners. PGDx will share its expertise, protocols and non-proprietary ctDNA analysis data on its oncology analysis platform for free.

Dr. John Simmons, PGDx Translational Science and Diagnostics Specialist, pointed out that the launch of the database is critical to the start of precision oncology, giving people a more complete understanding of how liquid biopsy can be used and the various factors that should be noted when applying liquid biopsy.

At the same time, four research teams at the University of Michigan will also share their research data, including genome-wide sequencing data for multiple cancer patients, DNA and PCR data for plasmaless tumor cells from breast cancer patients, plasma RNAseq data for healthy individuals, and breast cancer patients. The number of circulating tumor cells and protein marker data isolated in the blood sample.

Unlike most research institutions and industrial organizations, Novartis Group emphasizes the evaluation of PCR-based methods and cfDNA detection technology based on next-generation sequencing methods. Novartis spokesman Tina Tuttle also stressed that Novartis will share the results of SOP for ctDNA plasma collection, ctDNA extraction kits from different manufacturers, and design samples to evaluate the clinical performance of ctDNA detection technology.

Source: Translational Medicine Network (micro signal zhuanhuayixue)

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