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

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 o...

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Published in:International journal of molecular sciences 2023-10, Vol.24 (20), p.15140
Main Authors: Pérez-Gómez, Jesús M, Porcel-Pastrana, Francisco, De La Luz-Borrero, Marina, Montero-Hidalgo, Antonio J, Gómez-Gómez, Enrique, Herrera-Martínez, Aura D, Guzmán-Ruiz, Rocío, Malagón, María M, Gahete, Manuel D, Luque, Raúl M
Format: Article
Language:English
Subjects:
Adipose tissues
Algorithms
Body fat
Body mass index
Cancer
Development and progression
Gene expression
Genes
Genetic aspects
Genetic engineering
Homeostasis
Insulin resistance
Metabolism
Microfluidics
Obesity
Prostate cancer
Type 2 diabetes
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Summary: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.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms242015140