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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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8a/5525192/97c1118cd315/CPT-101-589-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8a/5525192/97c1118cd315/CPT-101-589-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8a/5525192/97c1118cd315/CPT-101-589-g001.jpg

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本文引用的文献

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N Engl J Med. 2016 Sep 22;375(12):1109-12. doi: 10.1056/NEJMp1607591.
2
Evidence of clinical utility: an unmet need in molecular diagnostics for patients with cancer.临床效用证据:癌症患者分子诊断未满足的需求。
Clin Cancer Res. 2014 Mar 15;20(6):1428-44. doi: 10.1158/1078-0432.CCR-13-2961.
3
Considerations in the development of circulating tumor cell technology for clinical use.考虑将循环肿瘤细胞技术应用于临床开发的相关问题。
基于血液的早期检测和筛查词汇表:BLOODPAC 共识文件。
Clin Transl Sci. 2024 Sep;17(9):e70016. doi: 10.1111/cts.70016.
4
Subpar reporting of pre-analytical variables in RNA-focused blood plasma studies.以RNA为重点的血浆研究中分析前变量的报告不充分。
Mol Oncol. 2025 Jul;19(7):1968-1978. doi: 10.1002/1878-0261.13647. Epub 2024 Apr 2.
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A Case for Accelerating Standards to Achieve the FAIR Principles of Environmental Health Research Experimental Data.加速实现环境健康研究实验数据 FAIR 原则的标准的案例
Environ Health Perspect. 2023 Jun;131(6):65001. doi: 10.1289/EHP11484. Epub 2023 Jun 23.
6
BLOODPAC: Collaborating to chart a path towards blood-based screening for early cancer detection.血液检测癌症早期筛查合作项目(BLOODPAC):携手绘制基于血液的早期癌症检测筛查之路。
Clin Transl Sci. 2023 Jan;16(1):5-9. doi: 10.1111/cts.13427. Epub 2022 Oct 17.
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