气候变化领域集成服务门户(CCPortal): Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers

CCPortal

DOI	10.1073/pnas.2018110118
	Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers
	Jiménez-Sánchez J.; Bosque J.J.; Jiménez Londoño G.A.; Molina-García D.; Martínez Á.; Pérez-Beteta J.; Ortega-Sabater C.; Honguero Martínez A.F.; García Vicente A.M.; Calvo G.F.; Pérez-García V.M.
发表日期	2021
ISSN	00278424
卷号	118 期号:6
英文摘要	Human cancers are biologically and morphologically heterogeneous. A variety of clonal populations emerge within these neoplasms and their interaction leads to complex spatiotemporal dynamics during tumor growth. We studied the reshaping of metabolic activity in human cancers by means of continuous and discrete mathematical models and matched the results to positron emission tomography (PET) imaging data. Our models revealed that the location of increasingly active proliferative cellular spots progressively drifted from the center of the tumor to the periphery, as a result of the competition between gradually more aggressive phenotypes. This computational finding led to the development of a metric, normalized distance from 18F-fluorodeoxyglucose (18F-FDG) hotspot to centroid (NHOC), based on the separation from the location of the activity (proliferation) hotspot to the tumor centroid. The NHOC metric can be computed for patients using 18F-FDG PET-computed tomography (PET/CT) images where the voxel of maximum uptake (standardized uptake value [SUV]max) is taken as the activity hotspot. Two datasets of 18F-FDG PET/CT images were collected, one from 61 breast cancer patients and another from 161 non-small-cell lung cancer patients. In both cohorts, survival analyses were carried out for the NHOC and for other classical PET/CT-based biomarkers, finding that the former had a high prognostic value, outperforming the latter. In summary, our work offers additional insights into the evolutionary mechanisms behind tumor progression, provides a different PET/CT-based biomarker, and reveals that an activity hotspot closer to the tumor periphery is associated to a worst patient outcome. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	18F-FDG PET /CT; Cancer; Evolutionary dynamics; Prognostic biomarker
语种	英语
scopus关键词	biological marker; fluorodeoxyglucose f 18; adult; aged; Article; breast cancer; cancer growth; evolution; evolutionary dynamics; female; genotype; human; image analysis; major clinical study; male; mathematical model; non small cell lung cancer; phenotype; positron emission tomography; priority journal; prognosis; simulation; software; survival analysis; tumor metabolism; very elderly
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180758
作者单位	Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, 13071, Spain; Nuclear Medicine Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, 13005, Spain; Department of Mathematics, Universidad de Cádiz, Cádiz, 11009, Spain; Thoracic Surgery Unit, Hospital General Universitario de Albacete, Albacete, 02006, Spain
推荐引用方式 GB/T 7714	Jiménez-Sánchez J.,Bosque J.J.,Jiménez Londoño G.A.,et al. Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers[J],2021,118(6).
APA	Jiménez-Sánchez J..,Bosque J.J..,Jiménez Londoño G.A..,Molina-García D..,Martínez Á..,...&Pérez-García V.M..(2021).Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers.Proceedings of the National Academy of Sciences of the United States of America,118(6).
MLA	Jiménez-Sánchez J.,et al."Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers".Proceedings of the National Academy of Sciences of the United States of America 118.6(2021).