LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions

Author:

Pérez-Gómez Jesús M.1234ORCID,Porcel-Pastrana Francisco1234ORCID,De La Luz-Borrero Marina1234ORCID,Montero-Hidalgo Antonio J.1234,Gómez-Gómez Enrique135ORCID,Herrera-Martínez Aura D.1346,Guzmán-Ruiz Rocío1234,Malagón María M.1234,Gahete Manuel D.1234ORCID,Luque Raúl M.1234ORCID

Affiliation:

1. Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain

2. Department of Cell Biology, Physiology, and Immunology, University of Cordoba, 14004 Cordoba, Spain

3. Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain

4. CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004 Cordoba, Spain

5. Urology Service, Reina Sofia University Hospital, 14004 Cordoba, Spain

6. Endocrinology and Nutrition Service, Reina Sofia University Hospital, 14004 Cordoba, Spain

Abstract

Obesity (OB) is a metabolic disorder characterized by adipose tissue dysfunction that has emerged as a health problem of epidemic proportions in recent decades. OB is associated with multiple comorbidities, including some types of cancers. Specifically, prostate cancer (PCa) has been postulated as one of the tumors that could have a causal relationship with OB. Particularly, a specialized adipose tissue (AT) depot known as periprostatic adipose tissue (PPAT) has gained increasing attention over the last few years as it could be a key player in the pathophysiological interaction between PCa and OB. However, to date, no studies have defined the most appropriate internal reference genes (IRGs) to be used in gene expression studies in this AT depot. In this work, two independent cohorts of PPAT samples (n = 20/n = 48) were used to assess the validity of a battery of 15 literature-selected IRGs using two widely used techniques (reverse transcription quantitative PCR [RT-qPCR] and microfluidic-based qPCR array). For this purpose, ΔCt method, GeNorm (v3.5), BestKeeper (v1.0), NormFinder (v.20.0), and RefFinder software were employed to assess the overall trends of our analyses. LRP10, PGK1, and RPLP0 were identified as the best IRGs to be used for gene expression studies in human PPATs, specifically when considering PCa and OB conditions.

Funder

Spanish Ministry of Science, Innovation, and Universities

Junta de Andalucia

CIBERobn

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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