The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling


Por: López-Fernández E and López JI

Publicada: 1 dic 2018
Resumen:
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.

Filiaciones:
:
 FISABIO Foundation, 46020 Valencia, Spain.

 Department of Health Sciences, European University of Valencia, Laureate Universities, 46023 Valencia, Spain.

López JI:
 Department of Pathology, Cruces University Hospital, Biomarkers in Cancer Unit, Biocruces-Bizkaia Health Research Institute, Plaza de Cruces s/n, 48903 Barakaldo, Bizkaia, Spain.

 Department of Medical-Surgical Specialties, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.
ISSN: 20726694





Cancers
Editorial
Multidisciplinary Digital Publishing Institute (MDPI), ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Review
Volumen: 10 Número: 12
Páginas:
WOS Id: 000455199200023
ID de PubMed: 30518081
imagen Green Published, Green Submitted, gold

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