Circulating Cell-Free DNA in Renal Cell Carcinoma: The New Era of Precision Medicine.

cell-free methylated DNA epigenetic genetic kidney cancer liquid biopsy microsatellite instability

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
07 Sep 2022
Historique:
received: 01 08 2022
revised: 03 09 2022
accepted: 05 09 2022
entrez: 23 9 2022
pubmed: 24 9 2022
medline: 24 9 2022
Statut: epublish

Résumé

Tumor biopsy is still the gold standard for diagnosing and prognosis renal cell carcinoma (RCC). However, its invasiveness, costs, and inability to accurately picture tumor heterogeneity represent major limitations to this procedure. Analysis of circulating cell-free DNA (cfDNA) is a non-invasive cost-effective technique that has the potential to ease cancer detection and prognosis. In particular, a growing body of evidence suggests that cfDNA could be a complementary tool to identify and prognosticate RCC while providing contemporary mutational profiling of the tumor. Further, recent research highlighted the role of cfDNA methylation profiling as a novel method for cancer detection and tissue-origin identification. This review synthesizes current knowledge on the diagnostic, prognostic, and predictive applications of cfDNA in RCC, with a specific focus on the potential role of cell-free methylated DNA (cfMeDNA).

Identifiants

pubmed: 36139519
pii: cancers14184359
doi: 10.3390/cancers14184359
pmc: PMC9497114
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Edoardo Francini (E)

Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.

Giuseppe Nicolò Fanelli (GN)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Division of Pathology, Department of Translational Research, New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Filippo Pederzoli (F)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.

Sandor Spisak (S)

Institute of Enzymology, Research Center for Natural Sciences, 1117 Budapest, Hungary.

Erika Minonne (E)

School of Medicine and Surgery, University of Turin, 10124 Turin, Italy.

Massimiliano Raffo (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Unit of Urology, Division of Experimental Oncology, University Vita-Salute San Raffaele, URI, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.

Hubert Pakula (H)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.

Viktoria Tisza (V)

Institute of Enzymology, Research Center for Natural Sciences, 1117 Budapest, Hungary.

Cristian Scatena (C)

Division of Pathology, Department of Translational Research, New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Antonio Giuseppe Naccarato (AG)

Division of Pathology, Department of Translational Research, New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Massimo Loda (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.

Pier Vitale Nuzzo (PV)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA.

Classifications MeSH