Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Integrative Bioinformatics Analysis of Acs Enzymes As Candidate Prognostic and Diagnostic Biomarkers in Colon Adenocarcinoma Publisher



Parsazad E1 ; Esrafili F2 ; Yazdani B3 ; Ghafarzadeh S4 ; Razmavar N5 ; Sirous H6
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Bioscience and Biotechnology, Malek Ashtar University, Medvac Biopharma Company, Alborz Province, Tehran, Iran
  2. 2. Department of Genetics, Zanjan Branch, Islamic Azad University, Zanjan, Iran
  3. 3. Department of Tissue Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
  4. 4. Department of Royan Institute, University of Science and Culture, Tehran, Iran
  5. 5. Department of Biology, University of Guilan, Rasht, Iran
  6. 6. Bioinformatics Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Research in Pharmaceutical Sciences Published:2023


Abstract

Background and purpose: Acyl-CoA synthetase (ACS) enzymes play an important role in the activation of fatty acids. While many studies have found correlations between the expression levels of ACS enzymes with the progression, growth, and survival of cancer cells, their role and expression patterns in colon adenocarcinoma are still greatly unknown and demand further investigation. Experimental approach: The expression data of colon adenocarcinoma samples were downloaded from the Cancer Genome Atlas (TCGA) database. Normalization and differential expression analysis were performed to identify differentially expressed genes (DEGs). Gene set enrichment analysis was applied to identify top enriched genes from ACS enzymes in cancer samples. Gene ontology and protein-protein interaction analyses were performed for the prediction of molecular functions and interactions. Survival analysis and receiver operating characteristic test (ROC) were performed to find potential prognostic and diagnostic biomarkers. Findings/Results: ACSL6 and ACSM5 genes demonstrated more significant differential expression and LogFC value compared to other ACS enzymes and also achieved the highest enrichment scores. Gene ontology analysis predicted the involvement of top DEGs in fatty acids metabolism, while protein-protein interaction network analysis presented strong interactions between ACSLs, ACSSs, ACSMs, and ACSBG enzymes with each other. Survival analysis suggested ACSM3 and ACSM5 as potential prognostic biomarkers, while the ROC test predicted stronger diagnostic potential for ACSM5, ACSS2, and ACSF2 genes. Conclusion and implications: Our findings revealed the expression patterns, prognostic, and diagnostic biomarker potential of ACS enzymes in colon adenocarcinoma. ACSM3, ACSM5, ACSS2, and ACSF2 genes are suggested as possible prognostic and diagnostic biomarkers. © 2023 Wolters Kluwer Medknow Publications. All rights reserved.
Related Docs
View other Related Docs
1. Evaluation of Long-Chain Acyl-Coenzyme a Synthetase 4 (Acsl4) Expression in Human Breast Cancer, Research in Pharmaceutical Sciences (2020)
2. Tbx15 and Sdhb Expression Changes in Colorectal Cancer Serve As Potential Prognostic Biomarkers, Experimental and Molecular Pathology (2024)
3. Identification of Genes Related to Ribosomal Proteins in Colorectal Cancer: Exploring Their Potential As Biomarkers, Prognostic Indicators, and Therapeutic Targets, Molecular Biology Reports (2024)
4. Deregulation of Mtdh Gene Expression in Gastric Cancer, Asian Pacific Journal of Cancer Prevention (2012)
5. 15-Lipoxygenase and Its Metabolites in the Pathogenesis of Breast Cancer: A Double-Edged Sword, Lipids in Health and Disease (2021)
6. Identification of Genes With High Heterogeneity of Expression As a Predictor of Different Prognosis and Therapeutic Responses in Colorectal Cancer: A Challenge and a Strategy, Cancer Cell International (2022)
7. Network Analysis of Common Genes Related to Esophageal, Gastric, and Colon Cancers, Gastroenterology and Hepatology from Bed to Bench (2017)
8. Gene Expression Profile Analysis of Colon Cancer Grade Ii Into Grade Iii Transition by Using System Biology, Gastroenterology and Hepatology from Bed to Bench (2019)
Experts (# of related papers)
View all Related Experts
Parvaneh Nikpour (3)
Hossein Khanahmad (3)
Other Related Docs
9. Expression and Clinicopathological Significance of Lipin-1 in Human Breast Cancer and Its Association With P53 Tumor Suppressor Gene, Journal of Cellular Physiology (2020)
10. A Bioinformatics Approach of Specificity Protein Transcription Factors in Head and Neck Squamous Cell Carcinoma, Research in Pharmaceutical Sciences (2024)
11. Screening and Identification of Potential Biomarkers for Pancreatic Cancer: An Integrated Bioinformatics Analysis, Pathology Research and Practice (2023)
12. Integrative Analysis of Dna Methylation and Gene Expression Through Machine Learning Identifies Stomach Cancer Diagnostic and Prognostic Biomarkers, Journal of Cellular and Molecular Medicine (2023)
13. Identification of Significant Genes and Pathways Associated With Tenascin-C in Cancer Progression by Bioinformatics Analysis, Advanced Biomedical Research (2022)
14. Identification of Cancer/Testis Antigens Related to Gastric Cancer Prognosis Based on Co-Expression Network and Integrated Transcriptome Analyses, Advanced Biomedical Research (2023)
15. In-Silico Identification of Therapeutic Targets in Pancreatic Ductal Adenocarcinoma Using Wgcna and Trader, Scientific Reports (2024)
16. Exploring Slc30a6 As a Potential Prognostic, Immunomodulatory, and Therapeutic Biomarker in Various Cancers With a Focus on Pancreatic Cancer: A Pan-Cancer Analysis, Egyptian Journal of Medical Human Genetics (2024)
17. Analysing Glycolysis-Related Genes Reveals the Prognostic and Diagnostic Relevance of Ier3 and Agrn in Colorectal Cancer, Genes and Genomics (2025)