» Articles » PMID: 36900162

Exploring Core Genes by Comparative Transcriptomics Analysis for Early Diagnosis, Prognosis, and Therapies of Colorectal Cancer

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2023 Mar 11
PMID 36900162
Authors
Affiliations
Soon will be listed here.
Abstract

Colorectal cancer (CRC) is one of the most common cancers with a high mortality rate. Early diagnosis and therapies for CRC may reduce the mortality rate. However, so far, no researchers have yet investigated core genes (CGs) rigorously for early diagnosis, prognosis, and therapies of CRC. Therefore, an attempt was made in this study to explore CRC-related CGs for early diagnosis, prognosis, and therapies. At first, we identified 252 common differentially expressed genes (cDEGs) between CRC and control samples based on three gene-expression datasets. Then, we identified ten cDEGs ( and ) as the CGs, highlighting their mechanisms in CRC progression. The enrichment analysis of CGs with GO terms and KEGG pathways revealed some crucial biological processes, molecular functions, and signaling pathways that are associated with CRC progression. The survival probability curves and box-plot analyses with the expressions of CGs in different stages of CRC indicated their strong prognostic performance from the earlier stage of the disease. Then, we detected CGs-guided seven candidate drugs (Manzamine A, Cardidigin, Staurosporine, Sitosterol, Benzo[a]pyrene, Nocardiopsis sp., and Riccardin D) by molecular docking. Finally, the binding stability of four top-ranked complexes (TPX2 vs. Manzamine A, CDC20 vs. Cardidigin, MELK vs. Staurosporine, and CDK1 vs. Riccardin D) was investigated by using 100 ns molecular dynamics simulation studies, and their stable performance was observed. Therefore, the output of this study may play a vital role in developing a proper treatment plan at the earlier stages of CRC.

Citing Articles

Exploring manzamine a: a promising anti-lung cancer agent from marine sponge sp.

Su M, Zhu J, Bai L, Cao Y, Wang S Front Pharmacol. 2025; 16:1525210.

PMID: 40070571 PMC: 11893592. DOI: 10.3389/fphar.2025.1525210.


Screening of common genomic biomarkers to explore common drugs for the treatment of pancreatic and kidney cancers with type-2 diabetes through bioinformatics analysis.

Ajadee A, Mahmud S, Sarkar A, Noor T, Ahmmed R, Haque Mollah M Sci Rep. 2025; 15(1):7363.

PMID: 40025145 PMC: 11873208. DOI: 10.1038/s41598-025-91875-3.


Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

Rabby M, Islam M, Kumar S, Maniruzzaman M, Hasan M, Tomioka Y PLoS One. 2025; 20(2):e0317296.

PMID: 40014586 PMC: 11867339. DOI: 10.1371/journal.pone.0317296.


The miRNA-mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO.

Heidari R, Assadollahi V, Marashi S, Elahian F, Mirzaei S Cancer Rep (Hoboken). 2025; 8(1):e70098.

PMID: 39764737 PMC: 11705453. DOI: 10.1002/cnr2.70098.


Exploring bacterial key genes and therapeutic agents for breast cancer among the Ghanaian female population: Insights from In Silico analyses.

Kibria M, Ali M, Haque Mollah M PLoS One. 2024; 19(11):e0312493.

PMID: 39585882 PMC: 11588272. DOI: 10.1371/journal.pone.0312493.


References
1.
Kim S, Chen J, Cheng T, Gindulyte A, He J, He S . PubChem 2019 update: improved access to chemical data. Nucleic Acids Res. 2018; 47(D1):D1102-D1109. PMC: 6324075. DOI: 10.1093/nar/gky1033. View

2.
Hozhabri H, Lashkari A, Razavi S, Mohammadian A . Integration of gene expression data identifies key genes and pathways in colorectal cancer. Med Oncol. 2021; 38(1):7. DOI: 10.1007/s12032-020-01448-9. View

3.
Lovering A, Lee S, Kim Y, Withers S, Strynadka N . Mechanistic and structural analysis of a family 31 alpha-glycosidase and its glycosyl-enzyme intermediate. J Biol Chem. 2004; 280(3):2105-15. DOI: 10.1074/jbc.M410468200. View

4.
Lin L, Kuo T, Chang H, Liu W, Hsia S, Huang T . Manzamine A Exerts Anticancer Activity against Human Colorectal Cancer Cells. Mar Drugs. 2018; 16(8). PMC: 6117705. DOI: 10.3390/md16080252. View

5.
Xu H, Ma Y, Zhang J, Gu J, Jing X, Lu S . Identification and Verification of Core Genes in Colorectal Cancer. Biomed Res Int. 2020; 2020:8082697. PMC: 7232680. DOI: 10.1155/2020/8082697. View