Suppr超能文献

系统病理学:诊断与预测病理学实践中的范式转变。

Systems pathology: a paradigm shift in the practice of diagnostic and predictive pathology.

作者信息

Donovan Michael J, Costa Jose, Cordon-Cardo Carlos

机构信息

Aureon Laboratories, Yonkers, New York, USA.

出版信息

Cancer. 2009 Jul 1;115(13 Suppl):3078-84. doi: 10.1002/cncr.24353.

Abstract

Diagnostic tumor pathology in the context of personalized medicine has progressed from an interpretive, subjective science to a more objective, evidence-based practice. This has resulted in the development of several tissue-based, molecular-driven tests that provide information regarding prognosis and response to therapy. The challenge, however, for both the pathologist and the treating physician is how best to effectively integrate this data into a comprehensive treatment plan that includes a patient-specific risk assessment. To address this need, the authors developed a systems pathology approach to the practice of clinical molecular medicine through technical advances in object-oriented image analysis, and phenotyping at the microanatomical level using deparaffinized tissue section and quantitative biomarker multiplexing. With support vector regression for censored data, they have been able to integrate complex information and provide a patient-specific risk profile based on the clinical endpoint under investigation. Cancer 2009;115(13 suppl):3078-84. (c) 2009 American Cancer Society.

摘要

在个性化医疗背景下,诊断肿瘤病理学已从一门解释性的、主观的科学发展成为一种更客观的、基于证据的实践。这导致了几种基于组织的、分子驱动的检测方法的发展,这些检测方法提供了有关预后和治疗反应的信息。然而,对于病理学家和治疗医生来说,挑战在于如何最好地将这些数据有效地整合到一个包括患者特异性风险评估的综合治疗计划中。为满足这一需求,作者通过面向对象图像分析的技术进步以及使用脱石蜡组织切片和定量生物标志物多重检测在微观解剖水平进行表型分析,开发了一种临床分子医学实践的系统病理学方法。通过对删失数据的支持向量回归,他们能够整合复杂信息,并根据所研究的临床终点提供患者特异性风险概况。《癌症》2009年;115(13增刊):3078 - 84。(c)2009美国癌症协会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验