合作以竞争：癌症血液图谱联盟（BloodPAC）

Collaborating to Compete: Blood Profiling Atlas in Cancer (BloodPAC) Consortium.

作者信息

Grossman R L, Abel B, Angiuoli S, Barrett J C, Bassett D, Bramlett K, Blumenthal G M, Carlsson A, Cortese R, DiGiovanna J, Davis-Dusenbery B, Dittamore R, Eberhard D A, Febbo P, Fitzsimons M, Flamig Z, Godsey J, Goswami J, Gruen A, Ortuño F, Han J, Hayes D, Hicks J, Holloway D, Hovelson D, Johnson J, Juhl H, Kalamegham R, Kamal R, Kang Q, Kelloff G J, Klozenbuecher M, Kolatkar A, Kuhn P, Langone K, Leary R, Loverso P, Manmathan H, Martin A-M, Martini J, Miller D, Mitchell M, Morgan T, Mulpuri R, Nguyen T, Otto G, Pathak A, Peters E, Philip R, Posadas E, Reese D, Reese M G, Robinson D, Dei Rossi A, Sakul H, Schageman J, Singh S, Scher H I, Schmitt K, Silvestro A, Simmons J, Simmons T, Sislow J, Talasaz A, Tang P, Tewari M, Tomlins S, Toukhy H, Tseng H R, Tuck M, Tzou A, Vinson J, Wang Y, Wells W, Welsh A, Wilbanks J, Wolf J, Young L, Lee Jsh, Leiman L C

机构信息

Center for Data Intensive Science, University of Chicago, Chicago, Illinois, USA.

Genomic Health, Redwood City, California, USA.

出版信息

Clin Pharmacol Ther. 2017 May;101(5):589-592. doi: 10.1002/cpt.666. Epub 2017 Apr 12.

DOI:10.1002/cpt.666

PMID:28187516

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5525192/

Abstract

The cancer community understands the value of blood profiling measurements in assessing and monitoring cancer. We describe an effort among academic, government, biotechnology, diagnostic, and pharmaceutical companies called the Blood Profiling Atlas in Cancer (BloodPAC) Project. BloodPAC will aggregate, make freely available, and harmonize for further analyses, raw datasets, relevant associated clinical data (e.g., clinical diagnosis, treatment history, and outcomes), and sample preparation and handling protocols to accelerate the development of blood profiling assays.

摘要

癌症领域深知血液分析检测在评估和监测癌症方面的价值。我们介绍了一项由学术机构、政府、生物技术公司、诊断公司和制药公司共同参与的努力，即癌症血液分析图谱（BloodPAC）项目。BloodPAC将汇总原始数据集、相关的临床数据（如临床诊断、治疗史和结果）以及样本制备和处理方案，使其免费可用并进行统一协调以用于进一步分析，从而加速血液分析检测的开发。