Personalised treatment of haematological malignancies through systems medicine based on single molecules in single cells.

IF 1.4
Ehsan Ghayoor Karimiani, Philip Day
{"title":"Personalised treatment of haematological malignancies through systems medicine based on single molecules in single cells.","authors":"Ehsan Ghayoor Karimiani,&nbsp;Philip Day","doi":"10.1039/c3ib20258e","DOIUrl":null,"url":null,"abstract":"<p><p>Molecular diagnostics in haematological malignancies continues to advance towards more personalized treatment and accordingly demand is increasing for procedures providing quantitative analyses of heterogeneous tissue in malignancies. Circulating leukaemic cells are diverse and comprise discrete clonal populations arising from a common progenitor cell. Some of the current diagnostic techniques possess an attenuated dynamic quantitative range that prevents a clear comprehension of intercellular interactions. Quantitative measurements will facilitate an accurate appreciation of holistic cellular processes, assist with predictions pertaining to perturbations and reveal functional moieties that are truly a facet of the disease, and thus add to current biomarker discovery which often lack assessment of functional involvement in disease mechanisms and processes. This review focuses on quantitative studies related to peripheral blood and haematological malignancies. Data retrieval for either of these diseases is hampered by the high and unchartered degree of heterogeneity typically existing within clinical samples. The likelihood of analysis across single cell populations is highly probable in the near future. This will allow a patient to be readily screened for malignancies and assigned to a risk group based on a quantitative profile of a complex of molecules related to disease. The future analysis of molecular pathology based on detailed molecular dissection looks promising, requiring the integration of various disciplines encompassing morphology, genetics, expression profiling and new and evolving predictive modeling via systems medicine. From this detailed view into patient health, an increasingly personalized treatment plan can be administered, commencing with stratified medicine.</p>","PeriodicalId":520649,"journal":{"name":"Integrative biology : quantitative biosciences from nano to macro","volume":" ","pages":"759-67"},"PeriodicalIF":1.4000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/c3ib20258e","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative biology : quantitative biosciences from nano to macro","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1039/c3ib20258e","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Molecular diagnostics in haematological malignancies continues to advance towards more personalized treatment and accordingly demand is increasing for procedures providing quantitative analyses of heterogeneous tissue in malignancies. Circulating leukaemic cells are diverse and comprise discrete clonal populations arising from a common progenitor cell. Some of the current diagnostic techniques possess an attenuated dynamic quantitative range that prevents a clear comprehension of intercellular interactions. Quantitative measurements will facilitate an accurate appreciation of holistic cellular processes, assist with predictions pertaining to perturbations and reveal functional moieties that are truly a facet of the disease, and thus add to current biomarker discovery which often lack assessment of functional involvement in disease mechanisms and processes. This review focuses on quantitative studies related to peripheral blood and haematological malignancies. Data retrieval for either of these diseases is hampered by the high and unchartered degree of heterogeneity typically existing within clinical samples. The likelihood of analysis across single cell populations is highly probable in the near future. This will allow a patient to be readily screened for malignancies and assigned to a risk group based on a quantitative profile of a complex of molecules related to disease. The future analysis of molecular pathology based on detailed molecular dissection looks promising, requiring the integration of various disciplines encompassing morphology, genetics, expression profiling and new and evolving predictive modeling via systems medicine. From this detailed view into patient health, an increasingly personalized treatment plan can be administered, commencing with stratified medicine.

基于单细胞单分子的系统医学对血液系统恶性肿瘤的个体化治疗。
恶性血液病的分子诊断继续朝着更加个性化的治疗方向发展,因此对恶性肿瘤中异质组织的定量分析程序的需求也在增加。循环白血病细胞是多种多样的,包括由共同祖细胞产生的离散克隆群体。目前的一些诊断技术具有衰减的动态定量范围,这妨碍了对细胞间相互作用的清晰理解。定量测量将有助于对整体细胞过程的准确评价,有助于预测与扰动有关的情况,并揭示疾病真正一个方面的功能部分,从而增加当前生物标志物的发现,这些发现往往缺乏对疾病机制和过程中功能参与的评估。本文综述了与外周血和血液系统恶性肿瘤相关的定量研究。这两种疾病的数据检索受到临床样本中通常存在的高度和未知程度的异质性的阻碍。在不久的将来,跨单细胞群体进行分析的可能性很大。这将使患者能够很容易地进行恶性肿瘤筛查,并根据与疾病相关的分子复合物的定量概况将其分配到风险组。基于详细分子解剖的分子病理学的未来分析看起来很有希望,需要通过系统医学整合各种学科,包括形态学,遗传学,表达谱和新的和不断发展的预测建模。根据对病人健康的详细了解,可以从分层药物开始实施越来越个性化的治疗计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信