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Cancer signaling transcriptome is upregulated in type 2 diabetes mellitus

  • Enrique Almanza-Aguilera
  • , Álvaro Hernáez
  • , Dolores Corella
  • , Albert Sanllorente
  • , Emilio Ros
  • , Olga Portolés
  • , Julieta Valussi
  • , Ramon Estruch
  • , Oscar Coltell
  • , Isaac Subirana
  • , Silvia Canudas
  • , Cristina Razquin
  • , Gemma Blanchart
  • , Lara Nonell
  • , Montserrat Fitó
  • , Olga Castañer*
  • *Corresponding author for this work

Research output: Indexed journal article Articlepeer-review

2 Citations (Scopus)

Abstract

We aimed to explore the differences in the whole transcriptome of peripheral blood mononu-clear cells between elderly individuals with and without type 2 diabetes (T2D). We conducted a microarray-based transcriptome analysis of 19 individuals with T2D and 15 without. Differentially expressed genes according to linear models were submitted to the Ingenuity Pathway Analysis system to conduct a functional enrichment analysis. We established that diseases, biological func-tions, and canonical signaling pathways were significantly associated with T2D patients when their logarithms of Benjamini–Hochberg-adjusted p-value were >1.30 and their absolute z-scores were >2.0 (≥2.0 meant “upregulation” and ≤−2.0 “downregulation”). Cancer signaling pathways were the most upregulated ones in T2D (z-score = 2.63, −log(p-value) = 32.3; 88.5% (n = 906) of the total differentially expressed genes located in these pathways). In particular, integrin (z-score = 2.52, −log(p-value) = 2.03) and paxillin (z-score = 2.33, −log(p-value) = 1.46) signaling pathways were predicted to be upregulated, whereas the Rho guanosine diphosphate (Rho-GDP) dissociation in-hibitor signaling pathway was predicted to be downregulated in T2D individuals (z-score = −2.14, −log(p-value) = 2.41). Our results suggest that, at transcriptional expression level, elderly individuals with T2D present an increased activation of signaling pathways related to neoplastic processes, T-cell activation and migration, and inflammation.

Original languageEnglish
Article number85
Pages (from-to)1-12
Number of pages12
JournalJournal of clinical medicine
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Microarray
  • Signaling pathways
  • Transcriptome
  • Type 2 diabetes

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