Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: López-Fernández, Estíbaliz, López, José I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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
_version_ 1783384623378595840
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
work_keys_str_mv AT lopezfernandezestibaliz theimpactoftumorecoevolutioninrenalcellcarcinomasampling
AT lopezjosei theimpactoftumorecoevolutioninrenalcellcarcinomasampling
AT lopezfernandezestibaliz impactoftumorecoevolutioninrenalcellcarcinomasampling
AT lopezjosei impactoftumorecoevolutioninrenalcellcarcinomasampling