Literature DB >> 34207031

Methylation Status of Corticotropin-Releasing Factor (CRF) Receptor Genes in Colorectal Cancer.

Maria Panagopoulou1, Antonia Cheretaki1, Makrina Karaglani1, Ioanna Balgkouranidou1,2, Eirini Biziota2, Kyriakos Amarantidis2, Nikolaos Xenidis2, Stylianos Kakolyris2, Stavroula Baritaki3, Ekaterini Chatzaki1,4.   

Abstract

The corticotropin-releasing factor (CRF) system has been strongly associated with gastrointestinal pathophysiology, including colorectal cancer (CRC). We previously showed that altered expression of CRF receptors (CRFRs) in the colon critically affects CRC progression and aggressiveness through regulation of colonic inflammation. Here, we aimed to assess the potential of CRFR methylation levels as putative biomarkers in CRC. In silico methylation analysis of CRF receptor 1 (CRFR1) and CRF receptor 2 (CRFR2) was performed using methylome data derived by CRC and Crohn's disease (CD) tissues and CRC-derived circulating cell-free DNAs (ccfDNAs). In total, 32 and 33 differentially methylated sites of CpGs (DMCs) emerged in CRFR1 and CRFR2, respectively, between healthy and diseased tissues. The methylation patterns were verified in patient-derived ccfDNA samples by qMSP and associated with clinicopathological characteristics. An automated machine learning (AutoML) technology was applied to ccfDNA samples for classification analysis. In silico analysis revealed increased methylation of both CRFRs in CRC tissue and ccfDNA-derived datasets. CRFR1 hypermethylation was also noticed in gene body DMCs of CD patients. CRFR1 hypermethylation was further validated in CRC adjuvant-derived ccfDNA samples, whereas CRFR1 hypomethylation, observed in metastasis-derived ccfDNAs, was correlated to disease aggressiveness and adverse prognostic characteristics. AutoML analysis based on CRFRs methylation status revealed a three-feature high-performing biosignature for CRC diagnosis with an estimated AUC of 0.929. Monitoring of CRFRs methylation-based signature in CRC tissues and ccfDNAs may be of high diagnostic and prognostic significance in CRC.

Entities:  

Keywords:  CRF; bioinformatics; colorectal cancer; liquid biopsy; machine learning; methylation

Year:  2021        PMID: 34207031     DOI: 10.3390/jcm10122680

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  4 in total

1.  Just Add Data: automated predictive modeling for knowledge discovery and feature selection.

Authors:  Ioannis Tsamardinos; Paulos Charonyktakis; Georgios Papoutsoglou; Giorgos Borboudakis; Kleanthi Lakiotaki; Jean Claude Zenklusen; Hartmut Juhl; Ekaterini Chatzaki; Vincenzo Lagani
Journal:  NPJ Precis Oncol       Date:  2022-06-16

2.  ENPP2 Methylation in Health and Cancer.

Authors:  Maria Panagopoulou; Dionysios Fanidis; Vassilis Aidinis; Ekaterini Chatzaki
Journal:  Int J Mol Sci       Date:  2021-11-04       Impact factor: 5.923

3.  ENPP2 Promoter Methylation Correlates with Decreased Gene Expression in Breast Cancer: Implementation as a Liquid Biopsy Biomarker.

Authors:  Maria Panagopoulou; Andrianna Drosouni; Dionysiοs Fanidis; Makrina Karaglani; Ioanna Balgkouranidou; Nikolaos Xenidis; Vassilis Aidinis; Ekaterini Chatzaki
Journal:  Int J Mol Sci       Date:  2022-03-28       Impact factor: 5.923

4.  Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach.

Authors:  Makrina Karaglani; Maria Panagopoulou; Ismini Baltsavia; Paraskevi Apalaki; Theodosis Theodosiou; Ioannis Iliopoulos; Ioannis Tsamardinos; Ekaterini Chatzaki
Journal:  Int J Mol Sci       Date:  2022-03-09       Impact factor: 5.923

  4 in total

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