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Increased level and fragmentation of plasma circulating cell-free DNA are diagnostic and prognostic markers for renal cell carcinoma

BACKGROUND: Reliable biomarkers for renal cell carcinoma (RCC) have yet to be found. Circulating cell-free DNA (cfDNA) is an emerging resource for the diagnosis and prognosis of various cancers. This study aims to identify novel blood biomarkers for RCC. MATERIALS AND METHODS: Plasma cfDNA was extra...

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Detalles Bibliográficos
Autores principales: Yamamoto, Yoshiyuki, Uemura, Motohide, Nakano, Kosuke, Hayashi, Yujiro, Wang, Cong, Ishizuya, Yu, Kinouchi, Toshiro, Hayashi, Takuji, Matsuzaki, Kyosuke, Jingushi, Kentaro, Kato, Taigo, Kawashima, Atsunari, Ujike, Takeshi, Nagahara, Akira, Fujita, Kazutoshi, Imamura, Ryoichi, Nonomura, Norio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945531/
https://www.ncbi.nlm.nih.gov/pubmed/29755665
http://dx.doi.org/10.18632/oncotarget.24943
Descripción
Sumario:BACKGROUND: Reliable biomarkers for renal cell carcinoma (RCC) have yet to be found. Circulating cell-free DNA (cfDNA) is an emerging resource for the diagnosis and prognosis of various cancers. This study aims to identify novel blood biomarkers for RCC. MATERIALS AND METHODS: Plasma cfDNA was extracted from RCC patients (n = 92) and healthy controls (n = 41). Levels of cfDNA were determined using quantitative real-time PCR of ACTB as the target gene, and cfDNA fragment size was measured using a microfluidics-based platform. Diagnostic potential was assessed using receiver operating characteristic (ROC) and logistic regression analysis, and prognostic potential was evaluated using log-rank test. RESULTS: Median levels of cfDNA from RCC patients were significantly higher than those from healthy controls (3803 vs 2242 copies/ml, p < 0.001). Median fragment sizes of cfDNA in RCC patients were shorter than those in healthy controls (170 vs 171 bp, p = 0.052). To evaluate level of cfDNA as a diagnostic tool for RCC, ROC curve analysis revealed a sensitivity of 63.0% and a specificity of 78.1%. Multivariate analysis indicated that age, gender and the level of cfDNA were significantly associated with the presence of RCC (p < 0.001, p = 0.013, p < 0.001, respectively). Additionally, shorter cfDNA fragment size was negatively associated with progression-free survival (p = 0.006). CONCLUSIONS: Our study demonstrates the diagnostic and prognostic potential of plasma cfDNA as a biomarker for RCC.