精准医疗时代的病理学发展Development of Pathology in Coming Era of Precision Medicine
张波;
ZHANG Bo;Department of Pathology,Health Science of Peking University,Peking University Third Hospital;
摘要(Abstract):
精准医学的发展已成为当今世界医疗领域的主题。在新兴生物与信息技术的推动下,病理学正在经历学科重新布局和改造:即从器官、组织、细胞到亚细胞器以及分子复合体的各层次整合,且与放射、磁共振成像、超声等影像学结合进而诞生形态组学,同时与基因组等分子组学建立关联性,实现形态与功能的确实联系;并与环境、社会及人文因素整合,实现基于医疗大数据的分子病理流行病学。这些发展将重新定义病理学在精准医学时代中的桥梁作用。
The development of precision medicine has been the focus of medical field in the world. With the promotion of emerging biotechnology and information technology,pathology is experiencing subject redistribution and reconstruction. With the integratation of organ,tissue,cell,subcellular organelle and molecular complex,and with the combination of radiology,magnetic resonance and ultrasonic imaging,morphomics is established. At the same time,morphomics has established relevance with genomics and other molecular biology to establish connection between morphology and function,and has integrated with environmental,social and human factors to achieve molecular pathologic epidemiology based on large medical data analysis. It is believed that these developments will redefine the bridge role of the pathology in the coming era of precision medicine.
关键词(KeyWords):
精准医学;病理学;形态组学;分子病理流行病学
precision medicine;pathology;morphomics;molecular pathologic epidemiology
基金项目(Foundation):
作者(Author):
张波;
ZHANG Bo;Department of Pathology,Health Science of Peking University,Peking University Third Hospital;
Email:
DOI:
参考文献(References):
- [1]Lucocq JM,Mayhew TM,Schwab Y,et al.Systems biology in 3D space-enter the morpheme[J].Trends Cell Biol,2015,25:59-64.
- [2]Mayhew TM,Lucocq JM.From gross anatomy to the nanomorphome:stereological tools provide a paradigm for advancing research in quantitative morphomics[J].J Anat,2015,226:309-321.
- [3]Mayhew TM,Lucocq JM.Multiple-labelling immuno EM using different sizes of colloidal gold:alternative approaches to test for differential distribution and colocalization in subcellular structures[J].Histochem Cell Biol,2011,135:317-326.
- [4]Levenson RM,Borowsky AD,Angelo M.Immunohistochemistry and mass spectrometry for highly multiplexed cellular molecular imaging[J].Lab Invest,2015,95:397-405.
- [5]Angelo M,Bendall SC,Finck R,et al.Multiplexed ion beam imaging of human breast tumors[J].Nat Med,2014,20:436-442.
- [6]Giesen C,Wang HA,Schapiro D,et al.Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry[J].Nat Methods,2014,11:417-422.
- [7]Dietel M.Molecular pathology:A requirement for precision medicine in cancer[J].Oncol Res Treat,2016,39:804-810.
- [8]Aparicio AJR S,Huntsman GD.Does massively parallel DNA resequencing signify the end of histopathology as we know it?[J]J Pathol,2010,220:307-315.
- [9]Moch H,Blank RP,Diete M,et al.Personalized cancer medicine and the future of pathology[J].Virchows Arch,2012,460:3-8.
- [10]Ross SJ.Next-generation pathology[J].Am J Clin Pathol,2011,135:663-665.
- [11]Chi KR.The tumour trail left in blood[J].Nature,2016,14:269-271.
- [12]Hofman P,Popper HH.Pathologists and liquid biopsies:to be or not to be?[J].Virchows Arch,2016,469:601-609.
- [13]Longuespée R,Casadonte R,Kriegsmann M,et al.MALDI mass spectrometry imaging:A cutting-edge tool for fundamental and clinical histopathology[J].Proteomics Clin Appl,2016,10:701-719.
- [14]Liu J,Ouyang Z.Mass spectrometry imaging for biomedical applications[J].Anal Bioanal Chem,2013,405:5645-5653.
- [15]Park S,Parwani AV,Aller RD,et al.The history of pathology informatics:A global perspective[J].J Pathol Inform,2013,30:4-7.
- [16]Isse K,Lesniak A,Grama K,et al.Digital transplantation pathology:Combining whole slide imaging,multiplex stainingand automated image analysis[J].Am J Transplant,2012,12:27-37.
- [17]Al-Janabi S,Huisman A,Van Diest PJ.Digital pathology:current status and future perspectives[J].Histopathology,2012,61:1-9.
- [18]Madabhushi A,Lee G.Image analysis and machine learning in digital pathology:Challenges and opportunities[J].Med Image Anal,2016,33:170-175.
- [19]Kayser K,G9rtler J,Bogovac M,et al.AI(artificial intelligence)in histopathology—from image analysis to automated diagnosis[J].Folia Histochem Cytobiol,2009,47:355-361.
- [20]Ye JJ.Artificial intelligence for pathologists is not near—it is here:description of a prototype that can transform how we practice pathology tomorrow[J].Arch Pathol Lab Med,2015,139:929-935.
- [21]Hamada T,Keum N,Nishihara R,et al.Molecular pathological epidemiology:new developing frontiers of big data science to study etiologies and pathogenesis[J].J Gastroenterol,2017,52:265-275.
- [22]Nishi A,Milner DA Jr,Giovannucci EL,et al.Integration of molecular pathology,epidemiology and social science for global precision medicine[J].Expert Rev Mol Diagn,2016,16:11-23.
- [23]Ogino S,Lochhead P,Chan AT,et al.Molecular pathological epidemiology of epigenetics:emerging integrative science to analyze environment,host,and disease[J].Mod Pathol,2013,26:465-484.