LiKidMiRs: Painel de 4 miRNAs circulantes para a deteção de Carcinoma de células renais, usando ddPCR

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LiKidMiRs: Painel de 4 miRNAs circulantes para a deteção de Carcinoma de células renais, usando ddPCR

Quinta, 24.03.2022

A redução da mortalidade por cancro continua a ser um importante objetivo societal, sendo exemplificada pelos inúmeros esforços de desenvolvimento de biomarcadores eficazes para a deteção precoce de diferentes tumores. A deteção precoce do carcinoma de células renais aumenta significativamente a probabilidade de tratamento curativo, evitando a necessidade de terapias subsequentes com efeitos adversos.

Assim, neste estudo, os investigadores do IPO do Porto/ Porto Comprehensive Cancer Centre & ICBAS-UP analisaram e validaram um painel de 4 hsa-miRNAs circulantes para a deteção de carcinoma de células renais, usando droplet digital PCR (ddPCR). Apesar da necessidade de validação em coortes independentes adicionais, este painel de biomarcadores avaliados por ddPCR constitui um avanço na deteção precoce do tipo de cancro renal mais comum proporcionando a oportunidade de um diagnóstico mais eficaz.

 

Autores e Afiliações: José Pedro Sequeira 1,2 , Vera Constâncio 1,3 , Sofia Salta 1,4 , João Lobo 1,5,6 , Daniela Barros-Silva 1,4 , Carina Carvalho-Maia 1, Jéssica Rodrigues 7,8, Isaac Braga 9, Rui Henrique 1,5,6 and Carmen Jerónimo 1,6

1Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;

2Master Programme in Oncology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal

3Doctoral Programme in Biomedical Sciences, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal

4Doctoral Programme in Molecular Pathology and Genetics, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal

5Department of Pathology, Portuguese Oncology Institute of Porto (IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal

6Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal

7Cancer Epidemiology Group, IPO Porto Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;

8Centre of Mathematics (CMAT), University of Minho, Campus de Gualtar, R. da Universidade, 4710-057 Braga, Portugal

9Department of Urology & Urology Clinics, Portuguese Oncology Institute of Porto (IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;

 

Abstract:

Background: Decreased renal cell cancer-related mortality is an important societal goal, embodied by efforts to develop effective biomarkers enabling early detection and increasing the likelihood of curative treatment. Herein, we sought to develop a new biomarker for early and minimally invasive detection of renal cell carcinoma (RCC) based on a microRNA panel assessed by ddPCR. Methods: Plasma samples from patients with RCC (n = 124) or oncocytomas (n = 15), and 64 healthy donors, were selected. Hsa-miR-21-5p, hsa-miR-126-3p, hsa-miR-155-5p and hsa-miR-200b-3p levels were evaluated using a ddPCR protocol. Results: RCC patients disclosed significantly higher circulating levels of hsa-miR-155-5p compared to healthy donors, whereas the opposite was observed for hsa-miR-21-5p levels. Furthermore, hsa-miR-21-5p and hsa-miR-155-5p panels detected RCC with high sensitivity (82.66%) and accuracy (71.89%). The hsa-miR-126-3p/hsa-miR-200b-3p panel identified the most common RCC subtype (clear cell, ccRCC) with 74.78% sensitivity. Conclusion: Variable combinations of plasma miR levels assessed by ddPCR enable accurate detection of RCC in general, and of ccRCC. These findings, if confirmed in larger studies, provide evidence for a novel ancillary tool which might aid in early detection of RCC.

 

Revista: Cancers (Basel)

 

Link: https://www.mdpi.com/2072-6694/14/4/858