Detection of Intratumor Heterogeneity in Modern Pathology: A Multisite Tumor Sampling Perspective
dc.contributor.author | Cortés Díaz, Jesús María | |
dc.contributor.author | De Petris, Giovanni | |
dc.contributor.author | López, José I. | |
dc.date.accessioned | 2018-06-01T12:48:24Z | |
dc.date.available | 2018-06-01T12:48:24Z | |
dc.date.issued | 2017-03-06 | |
dc.identifier.citation | Frontiers in Medicine 4 : (2017) // Article ID 25 | es_ES |
dc.identifier.issn | 2296-858X | |
dc.identifier.uri | http://hdl.handle.net/10810/27269 | |
dc.description.abstract | Current 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.sponsorship | JC 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.iso | eng | es_ES |
dc.publisher | Frontiers Media | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SAF2013-48812-R | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2016-79874-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | tumor sampling | es_ES |
dc.subject | intratumor heterogeneity | es_ES |
dc.subject | stomach | es_ES |
dc.subject | large bowel | es_ES |
dc.subject | urinary bladder | es_ES |
dc.subject | in silico modeling | es_ES |
dc.subject | familial gastric-cancer | es_ES |
dc.subject | colorectal-cancer | es_ES |
dc.subject | urinary-bladder | es_ES |
dc.subject | renal pelvis | es_ES |
dc.subject | carcinoma | es_ES |
dc.subject | specimens | es_ES |
dc.subject | recommendations | es_ES |
dc.subject | evolution | es_ES |
dc.subject | invasion | es_ES |
dc.subject | ureter | es_ES |
dc.title | Detection of Intratumor Heterogeneity in Modern Pathology: A Multisite Tumor Sampling Perspective | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 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. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.frontiersin.org/articles/10.3389/fmed.2017.00025/full | es_ES |
dc.identifier.doi | 10.3389/fmed.2017.00025 | |
dc.departamentoes | Biología celular e histología | es_ES |
dc.departamentoeu | Zelulen biologia eta histologia | es_ES |
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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.