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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Identification and performance evaluation of housekeeping genes for microRNA expression normalization by reverse transcription-quantitative PCR using liquid-based cervical cytology samples

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Autor(es):
Causin, Rhafaela Lima [1] ; Pessoa-Pereira, Danielle [1] ; Borba Souza, Karen Cristina [1] ; Evangelista, Adriane Feijo [1] ; Vieira Reis, Rui Manuel [1] ; Tavares Guerreiro Fregnani, Jose Humberto [2] ; Chiquitelli Marques, Marcia Maria [1, 3]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Barretos Canc Hosp, Mol Oncol Res Ctr, 1331 Rua Antenor Duarte Villela, BR-14784400 Barretos, SP - Brazil
[2] AC Camargo Canc Ctr, BR-01509010 Sao Paulo, SP - Brazil
[3] Barretos Sch Hlth Sci FACISB, BR-14785002 Barretos, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Oncology Letters; v. 18, n. 5, p. 4753-4761, NOV 2019.
Citações Web of Science: 0
Resumo

Screening for cervical cancer by cytology has been effective in reducing the worldwide incidence and mortality rates of this disease. However, a number of studies have demonstrated that the sensitivity of conventional cervical cytology may be too low for detection of cervical intraepithelial neoplasias (CIN). Therefore, it is important to incorporate more sensitive molecular diagnostic tests that could substantially improve the detection rates and accuracy for identifying CIN lesions. MicroRNAs (miRNAs) are a class of small non-coding RNAs with the potential to provide robust non-invasive cancer biomarkers for detecting CIN lesions in liquid-based cervical cytology (LBC) samples. At present, there is no consensus on which are the best housekeeping genes for miRNA normalization in LBC. The present study aimed to identify housekeeping genes with consistent and reproducible performance for normalization of reverse transcription-quantitative PCR (RT-qPCR) expression analysis of miRNA using LBC samples. The present study firstly selected six potential candidate housekeeping genes based on a systematic literature evaluation. Subsequently, the expression levels of microRNAs U6, RNU-44, RNU-47, RNU-48, RNU-49 and hsa-miR-16 were measured in 40 LBC samples using RT-qPCR. The stability of each potential housekeeping gene was assessed using the NormFinder algorithm. The results revealed that U6 and RNU-49 were the most stable genes among all candidates requiring fewer amplification cycles and smaller variation across the sample set. However, RNU-44, RNU-47, RNU-48 and hsa-miR-16 stability exceeded the recommended housekeeping value suitable for normalization. The findings revealed that U6 may be a reliable housekeeping gene for normalization of miRNA RT-qPCR expression analysis using LBC samples. (AU)

Processo FAPESP: 16/15831-3 - Assinatura molecular de microRNAs em lesões precursoras do câncer de colo de útero
Beneficiário:Rhafaela Lima Causin
Modalidade de apoio: Bolsas no Brasil - Mestrado