Practicing Pathology in the Era of Big Data and Personalized Medicine

被引:27
|
作者
Gu, Jiang [1 ]
Taylor, Clive R. [2 ]
机构
[1] Shantou Univ, Dept Pathol, Coll Med, Shantou, Guangdong, Peoples R China
[2] Univ So Calif, Dept Pathol, Keck Sch Med, Los Angeles, CA 90033 USA
关键词
immunohistochemistry; molecular pathology; next-generation sequencing; PCR; digital pathology; surgical pathology; diagnostic molecular pathology; companion diagnostics; predictive markers; advanced personalized diagnostics; personalized medicine; big data; mass spectrometry; targeted therapy; morphologic classification; genomics; proteomics; metabolomics; liquid morphology; BREAST-CANCER; TARGETED THERAPY; LANDSCAPE; IMMUNOHISTOCHEMISTRY; GENOME; ISSUES; ANGIOGENESIS; MUTATIONS; EVOLUTION; STANDARDS;
D O I
10.1097/PAI.0000000000000022
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
The traditional task of the pathologist is to assist physicians in making the correct diagnosis of diseases at the earliest possible stage to effectuate the optimal treatment strategy for each individual patient. In this respect surgical pathology (the traditional tissue diagnosis) is but a tool. It is not, of itself, the purpose of pathology practice; and change is in the air. This January 2014 issue of Applied Immunohistochemistry and Molecular Morphology (AIMM) embraces that change by the incorporation of the agenda and content of the journal Diagnostic Molecular Morphology (DMP). Over a decade ago AIMM introduced and promoted the concept of molecular morphology, and has sought to publish molecular studies that correlate with the morphologic features that continue to define cancer and many diseases. That intent is now reinforced and extended by the merger with DMP, as a logical and timely response to the growing impact of a wide range of genetic and molecular technologies that are beginning to reshape the way in which pathology is practiced. The use of molecular and genomic techniques already demonstrates clear value in the diagnosis of disease, with treatment tailored specifically to individual patients. Personalized medicine is the future, and personalized medicine demands personalized pathology. The need for integration of the flood of new molecular data, with surgical pathology, digital pathology, and the full range of pathology data in the electronic medical record has never been greater. This review describes the possible impact of these pressures upon the discipline of pathology, and examines possible outcomes. There is a sense of excitement and adventure. Active adaption and innovation are required. The new AIMM, incorporating DMP, seeks to position itself for a central role in this process.
引用
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页码:1 / 9
页数:9
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