Data Normalization of Urine miRNA Profiling from Head and Neck Cancer Patients Treated with Cisplatin

Author:

Torso Nadine de Godoy1ORCID,Quintanilha Julia Coelho França1ORCID,Cursino Maria Aparecida1,Pincinato Eder de Carvalho1,Lima Carmen Silvia Passos1,Moriel Patricia2ORCID

Affiliation:

1. School of Medical Sciences, University of Campinas, Campinas 13083894, Brazil

2. Faculty of Pharmaceutical Sciences, University of Campinas, Campinas 13083970, Brazil

Abstract

The microRNA (miRNA) expression profile by qRT-PCR depends directly on the most appropriate normalization strategy adopted; however, currently there is no universally adequate reference gene. Therefore, this study aimed to determine, considering RNA-Seq results, the most adequate endogenous normalizer for use in the relative quantification of urine miRNAs from head and neck cancer patients, treated with cisplatin chemoradiotherapy. The massive sequencing was performed to identify the miRNAs differentially expressed between the group with cisplatin nephrotoxicity (n = 6) and the one without (n = 6). The candidate endogen normalizer was chosen according to four criteria: (1) the miRNA must be expressed in most samples; (2) the miRNA must have a fold change value between 0.99 and 1.01; (3) the miRNA must have a p-value ≥ 0.98; and (4) the miRNA must not be commented on by the final GeneGlobe (Qiagen, Hilden, Germany) analysis. Four miRNAs met all the criteria (hsa-miR-363-5p, hsa-miR-875-5p, hsa-miR-4302, and hsa-miR-6749-5p) and were selected for validation by qRT-PCR in a cohort of 49 patients (including the 12 sequencing participants). Only hsa-miR-875-5p was shown to be an adequate normalizer for the experimental condition under investigation, as it exhibited invariant expression between the two groups.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil

São Paulo Research Foundation

Pharmaceutical Security Nucleus Project

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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