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dc.contributor.authorCortés Díaz, Jesús María
dc.contributor.authorDe Petris, Giovanni
dc.contributor.authorLópez, José I.
dc.date.accessioned2018-06-01T12:48:24Z
dc.date.available2018-06-01T12:48:24Z
dc.date.issued2017-03-06
dc.identifier.citationFrontiers in Medicine 4 : (2017) // Article ID 25es_ES
dc.identifier.issn2296-858X
dc.identifier.urihttp://hdl.handle.net/10810/27269
dc.description.abstractCurrent sampling protocols of neoplasms along the digestive tract and in the urinary bladder have to be updated, as they do not respond to the necessities of modern personalized medicine. We show here that an adapted version of multisite tumor sampling (MSTS) is a sustainable model to overcome current deficiencies in digestive and bladder tumors when they are large enough so as to make unaffordable a total sampling. The new method is based on the divide-and-conquer algorithm and includes a slight modification of the MSTS, which proved to be useful very recently in clear cell renal cell carcinoma. This in silico analysis confirms the usefulness of MSTS for detecting intratumor heterogeneity (ITH) in tumors arising in hollow viscera. However, MSTS does not seem to improve routine traditional sampling in detecting tumor budding, extramural venous invasion, and perineural invasion. We conclude that (1) MSTS is the best method for tumor sampling to detect ITH balancing high performance and sustainable cost, (2) MSTS must be adapted to tumor shape and tumor location for an optimal performance.es_ES
dc.description.sponsorshipJC acknowledges financial support from Ikerbasque: The Basque Foundation for Science. This work was partially funded by grant SAF2013-48812-R from Ministerio de Economia y Competitividad (Spain) to JL; grant DPI2016-79874-R from Ministerio Economia y Competitividad (Spain) and FEDER to JC.es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/SAF2013-48812-Res_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/DPI2016-79874-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjecttumor samplinges_ES
dc.subjectintratumor heterogeneityes_ES
dc.subjectstomaches_ES
dc.subjectlarge boweles_ES
dc.subjecturinary bladderes_ES
dc.subjectin silico modelinges_ES
dc.subjectfamilial gastric-canceres_ES
dc.subjectcolorectal-canceres_ES
dc.subjecturinary-bladderes_ES
dc.subjectrenal pelvises_ES
dc.subjectcarcinomaes_ES
dc.subjectspecimenses_ES
dc.subjectrecommendationses_ES
dc.subjectevolutiones_ES
dc.subjectinvasiones_ES
dc.subjectureteres_ES
dc.titleDetection of Intratumor Heterogeneity in Modern Pathology: A Multisite Tumor Sampling Perspectivees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderCopyright: © 2017 Cortés, de Petris and López. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fmed.2017.00025/fulles_ES
dc.identifier.doi10.3389/fmed.2017.00025
dc.departamentoesBiología celular e histologíaes_ES
dc.departamentoeuZelulen biologia eta histologiaes_ES


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Copyright: © 2017 Cortés, de Petris and López. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's license is described as Copyright: © 2017 Cortés, de Petris and López. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.