Ferula gummosa in colorectal cancer: a bioinformatics and experimental validation study

Background and purpose: Colorectal cancer (CRC) is a significant global health challenge, necessitating a comprehensive molecular understanding for personalized treatments. Molecular profiling has elucidated key biomarkers that are essential for prognosis, treatment responsiveness, and targeted therapeutic interventions. Experimental approach: This study explored the role of indigenous phytochemicals, using bioinformatics and experimental assays to identify potential CRC-specific therapeutic targets. Findings/Results: A system biology and drug-target network analysis identified four proteins (ANG, DPP4, INSR, and MAPK14) as potential targets for further investigation. Molecular docking studies showed that the cauferoside from Ferula gummosa has a strong binding affinity for these proteins. Molecular dynamics simulations confirmed the stability of the compound-protein complexes. In vitro assays demonstrated the cytotoxic effects of F. gummosa extracts on CRC cells. The leaf extract significantly downregulated the expression of the ANG , DPP4 , INSR , and MAPK14 genes, while the root extract exhibited differential effects on gene expression. Conclusion and implications: The findings suggest the potential therapeutic efficacy of F. gummosa against CRC and emphasize the importance of a dual methodology involving bioinformatics and experimental validation in drug discovery. Further in vivo and clinical studies are warranted to validate these findings and facilitate potential therapeutic applications.

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Publication Details

Journal
Research in Pharmaceutical Sciences
Published
2026-05-01
DOI
https://doi.org/10.4103/rps.rps_246_24
Primary Topic
Plant chemical constituents analysis
Type
article
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article

Ferula gummosa in colorectal cancer: a bioinformatics and experimental validation study

Shima Gharibi, Ali Shojaeian, Mehdi Rahimmalek, Shahrzad Ahangarzadeh et al.
Research in Pharmaceutical Sciences
Plant chemical constituents analysis
article

Ferula gummosa in colorectal cancer: a bioinformatics and experimental validation study

Shima Gharibi, Ali Shojaeian, Mehdi Rahimmalek, Shahrzad Ahangarzadeh, Abbas Alibakhshi, Atefeh Asgari, Antoni Szumny, Razieh Amini
article en

Abstract

Background and purpose: Colorectal cancer (CRC) is a significant global health challenge, necessitating a comprehensive molecular understanding for personalized treatments. Molecular profiling has elucidated key biomarkers that are essential for prognosis, treatment responsiveness, and targeted therapeutic interventions. Experimental approach: This study explored the role of indigenous phytochemicals, using bioinformatics and experimental assays to identify potential CRC-specific therapeutic targets. Findings/Results: A system biology and drug-target network analysis identified four proteins (ANG, DPP4, INSR, and MAPK14) as potential targets for further investigation. Molecular docking studies showed that the cauferoside from Ferula gummosa has a strong binding affinity for these proteins. Molecular dynamics simulations confirmed the stability of the compound-protein complexes. In vitro assays demonstrated the cytotoxic effects of F. gummosa extracts on CRC cells. The leaf extract significantly downregulated the expression of the ANG , DPP4 , INSR , and MAPK14 genes, while the root extract exhibited differential effects on gene expression. Conclusion and implications: The findings suggest the potential therapeutic efficacy of F. gummosa against CRC and emphasize the importance of a dual methodology involving bioinformatics and experimental validation in drug discovery. Further in vivo and clinical studies are warranted to validate these findings and facilitate potential therapeutic applications.

Research in Pharmaceutical SciencesVol. 21(3)
Hamedan University of Medical Sciences (IR), Isfahan University of Medical Sciences (IR), Isfahan University of Technology (IR), Wrocław University of Environmental and Life Sciences (PL)
Openalex Percentile: Top 5%
Plant chemical constituents analysis
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