Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection.

Maruvada P; Srivastava S

首页> 外文期刊>Cancer epidemiology, biomarkers and prevention: A publication of the American Association for Cancer Research >Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection.

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Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection.

机译：美国国家癌症研究所-食品和药物管理局联合研讨会，讨论了用于癌症诊断和检测的生物标志物验证的研究策略，研究设计和统计方法。

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Cancer remains the second leading cause of death in the United States, in spite of tremendous advances made in therapeutic and diagnostic strategies. Successful cancer treatment depends on improved methods to detect cancers at early stages when they can be treated more effectively. Biomarkers for early detection of cancer enable screening of asymptomatic populations and thus play a critical role in cancer diagnosis. However, the approaches for validating biomarkers have yet to be addressed clearly. In an effort to delineate the ambiguities related to biomarker validation and related statistical considerations, the National Cancer Institute, in collaboration with the Food and Drug Administration, conducted a workshop in July 2004 entitled "Research Strategies, Study Designs, and Statistical Approaches to Biomarker Validation for Cancer Diagnosis and Detection." The main objective of this workshop was to review basic considerations underpinning the study designs, statistical methodologies, and novel approaches necessary to rapidly advance the clinical application of cancer biomarkers. The current commentary describes various aspects of statistical considerations and study designs for cancer biomarker validation discussed in this workshop.

机译：尽管在治疗和诊断策略上取得了巨大进步，癌症仍然是美国第二大死亡原因。成功的癌症治疗取决于可以在早期阶段更有效地治疗癌症的改进方法。用于癌症早期检测的生物标记物可以筛查无症状人群，因此在癌症诊断中起着至关重要的作用。但是，验证生物标志物的方法尚未明确解决。为了描述与生物标志物验证和相关统计考虑有关的歧义，美国国家癌症研究所与美国食品药品管理局合作，于2004年7月举办了一个研讨会，题为“生物标志物验证的研究策略，研究设计和统计方法”。用于癌症诊断和检测。”该研讨会的主要目的是回顾研究设计，统计方法和新方法所必需的基本注意事项，以快速推进癌症生物标记物的临床应用。当前的评论描述了本研讨会讨论的癌症生物标志物验证的统计考虑因素和研究设计的各个方面。

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《Cancer epidemiology, biomarkers and prevention: A publication of the American Association for Cancer Research》 |2006年第6期|共5页
作者
Maruvada P; Srivastava S;
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原文格式 PDF
正文语种 eng
中图分类肿瘤学;
关键词
Malignant Neoplasms; Biological Markers; Educational workshop; statistical; 生物学标记;

机译：Malignant Neoplasms;Biological Markers;Educational workshop;statistical;生物学标记;

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1. Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection. [J] . Maruvada P, Srivastava S Cancer epidemiology, biomarkers and prevention: A publication of the American Association for Cancer Research . 2006,第6期

机译：美国国家癌症研究所-食品和药物管理局联合研讨会，讨论了用于癌症诊断和检测的生物标志物验证的研究策略，研究设计和统计方法。
2. National Lung Cancer Screening Trial American College of Radiology Imaging Network Specimen Biorepository originating from the Contemporary Screening for the Detection of Lung Cancer Trial (NLST, ACRIN 6654): design, intent, and availability of specimens for validation of lung cancer biomarkers. [J] . Patz EF Jr, Caporaso NE, Dubinett SM, Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer . 2010,第10期

机译：国家肺癌筛查试验美国放射学院影像网络标本生物资源库起源于当代肺癌筛查试验筛查（NLST，ACRIN 6654）：标本的设计，意图和可用性，以验证肺癌生物标志物。
3. Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers - A powerful strategy for breast cancer diagnosis [J] . Silva C.L., Passos M., Camara J.S. Talanta: The International Journal of Pure and Applied Analytical Chemistry . 2012,第Null期

机译：固相微萃取，质谱和代谢组学方法检测潜在的尿道癌生物标志物-乳腺癌诊断的有力策略
4. Application of statistical machine learning in identifying candidate biomarkers of resistant to anti-cancer drugs in ovarian cancer [C] . Nabavi Sheida, Maitituoheti Mayinuer, Yamada Michiyo, 2014 40th Annual Northeast Bioengineering Conference . 2014

机译：统计机器学习在确定卵巢癌抗癌药物耐药性候选生物标志物中的应用
5. Statistical analysis of matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry data with applications to cancer biomarker detection. [D] . Barkauskas, Donald Anthony. 2009

机译：基质辅助激光解吸/电离傅立叶变换离子回旋共振质谱数据的统计分析及其在癌症生物标志物检测中的应用。
6. Consensus Report of a Joint NCI Thoracic Malignancies Steering Committee: FDA Workshop on Strategies for Integrating Biomarkers into Clinical Development of New Therapies for Lung Cancer Leading to the Inception of Master Protocols in Lung Cancer [O] . Shakun M. Malik, Richard Pazdur, Jeffrey S. Abrams, -1

机译：NCI胸腔恶性肿瘤联合指导委员会的共识性报告：FDA关于将生物标志物整合到肺癌新疗法临床开发中的战略的研讨会从而导致了肺癌主要方案的产生
7. Consensus Report of a Joint NCI Thoracic Malignancies Steering Committee: FDA Workshop on Strategies for Integrating Biomarkers into Clinical Development of New Therapies for Lung Cancer Leading to the Inception of “Master Protocols” in Lung Cancer [O] . Malik Shakun M., Pazdur Richard, Abrams Jeffrey S., 2014

机译：NCI联合胸腔恶性肿瘤指导委员会的共识报告：FDA关于将生物标志物整合到肺癌新疗法临床开发中的战略的研讨会，从而导致了肺癌“主要方案”的产生
8. Proceedings of the NCI/EPA/NIOSH (National Cancer Institute/Environmental Protection Agency/National Institute for Occupational Safety and Health) Collaborative Workshop (4th): Progress on Joint Environmental and Occupational Cancer Studies Held at Rockville, Maryland on April 22-23, 1986 [R] . Cameron, T. P. , Adamson, R. H. , Blackwood, I. C. 1986

机译：NCI / Epa / NIOsH（国家癌症研究所/环境保护局/国家职业安全与健康研究所）合作研讨会论文集（第4期）：4月22日至23日在马里兰州罗克维尔举行的环境与职业癌症联合研究进展， 1986年

Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection.

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