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The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling
Malignant tumors behave dynamically as cell communities governed by ecological principles. Massive sequencing tools are unveiling the true dimension of the heterogeneity of these communities along their evolution in most human neoplasms, clear cell renal cell carcinomas (CCRCC) included. Although in...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316833/ https://www.ncbi.nlm.nih.gov/pubmed/30518081 http://dx.doi.org/10.3390/cancers10120485 |
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author | López-Fernández, Estíbaliz López, José I. |
author_facet | López-Fernández, Estíbaliz López, José I. |
author_sort | López-Fernández, Estíbaliz |
collection | PubMed |
description | Malignant tumors behave dynamically as cell communities governed by ecological principles. Massive sequencing tools are unveiling the true dimension of the heterogeneity of these communities along their evolution in most human neoplasms, clear cell renal cell carcinomas (CCRCC) included. Although initially thought to be purely stochastic processes, very recent genomic analyses have shown that temporal tumor evolution in CCRCC may follow some deterministic pathways that give rise to different clones and sub-clones randomly spatially distributed across the tumor. This fact makes each case unique, unrepeatable and unpredictable. Precise and complete molecular information is crucial for patients with cancer since it may help in establishing a personalized therapy. Intratumor heterogeneity (ITH) detection relies on the correctness of tumor sampling and this is part of the pathologist’s daily work. International protocols for tumor sampling are insufficient today. They were conceived decades ago, when ITH was not an issue, and have remained unchanged until now. Noteworthy, an alternative and more efficient sampling method for detecting ITH has been developed recently. This new method, called multisite tumor sampling (MSTS), is specifically addressed to large tumors that are impossible to be totally sampled, and represent an opportunity to improve ITH detection without extra costs. |
format | Online Article Text |
id | pubmed-6316833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63168332019-01-09 The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling López-Fernández, Estíbaliz López, José I. Cancers (Basel) Review Malignant tumors behave dynamically as cell communities governed by ecological principles. Massive sequencing tools are unveiling the true dimension of the heterogeneity of these communities along their evolution in most human neoplasms, clear cell renal cell carcinomas (CCRCC) included. Although initially thought to be purely stochastic processes, very recent genomic analyses have shown that temporal tumor evolution in CCRCC may follow some deterministic pathways that give rise to different clones and sub-clones randomly spatially distributed across the tumor. This fact makes each case unique, unrepeatable and unpredictable. Precise and complete molecular information is crucial for patients with cancer since it may help in establishing a personalized therapy. Intratumor heterogeneity (ITH) detection relies on the correctness of tumor sampling and this is part of the pathologist’s daily work. International protocols for tumor sampling are insufficient today. They were conceived decades ago, when ITH was not an issue, and have remained unchanged until now. Noteworthy, an alternative and more efficient sampling method for detecting ITH has been developed recently. This new method, called multisite tumor sampling (MSTS), is specifically addressed to large tumors that are impossible to be totally sampled, and represent an opportunity to improve ITH detection without extra costs. MDPI 2018-12-04 /pmc/articles/PMC6316833/ /pubmed/30518081 http://dx.doi.org/10.3390/cancers10120485 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review López-Fernández, Estíbaliz López, José I. The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title | The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title_full | The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title_fullStr | The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title_full_unstemmed | The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title_short | The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling |
title_sort | impact of tumor eco-evolution in renal cell carcinoma sampling |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316833/ https://www.ncbi.nlm.nih.gov/pubmed/30518081 http://dx.doi.org/10.3390/cancers10120485 |
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