Author(s):
Anshu Thakur, Abhilasha Sharma, Mehul R. Chorawala
Email(s):
mchorawalaresearch@gmail.com , mehul.chorawala@lmcp.ac.in
DOI:
10.52711/0974-360X.2026.00438 
Address:
Anshu Thakur1,2, Abhilasha Sharma3, Mehul R. Chorawala2*
1Research Scholar, Gujarat Technological University, Ahmedabad, India.
2L. M. College of Pharmacy, Opp. Gujarat University, Navrangpura, Ahmedabad-380009, Gujarat, India. ORCID ID: 0000-0002-4824-7673
3BRIC-National Agri-Food and Biomanufacturing Institute (NABI), Mohali, Punjab, 140306, India. ORCID ID: 0000-0002-2438-6556
*Corresponding Author
Published In:
Volume - 19,
Issue - 7,
Year - 2026
ABSTRACT:
Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. The complex aetiology of the disease is closely associated with genetic predispositions and lifestyle factors. In this study, we employ Boolean modeling to identify convergent signaling pathways in CRC that drive disease progression regardless of the initial genetic mutation. Initially, through a gene regulatory network (GRN), we integrate the WNT, EGF, TGF-??, and IL-6 pathways via BioTapestry, followed by Boolean analysis for networking probabilities and attractor states, using the BoolNet R package. Our findings reveal that irrespective of the diverse driver mutations?such as those involving APC, KRAS, SMADs, and IL6?pathways, consistently converge upon a core set of downstream effectors, specifically VEGF, PI3K/mTOR, and c-myc. With the high probability of VEGF activation across simulated states, its role is underscored as a pivotal regulator of neoangiogenesis and metastasis, serving as a functional bottleneck in the transition from primary tumor to systemic spread. Our study provides a system-biology rationale for the efficacy of broad-spectrum therapeutic targets, particularly the VEGF axis, for treating CRC across different mutational profiles.
Cite this article:
Anshu Thakur, Abhilasha Sharma, Mehul R. Chorawala. Identification of Convergent regulatory networks in colorectal Cancer: A Boolean modeling analysis of driver Mutation networks. Research Journal of Pharmacy and Technology. 2026;19(7):3084-8. doi: 10.52711/0974-360X.2026.00438
Cite(Electronic):
Anshu Thakur, Abhilasha Sharma, Mehul R. Chorawala. Identification of Convergent regulatory networks in colorectal Cancer: A Boolean modeling analysis of driver Mutation networks. Research Journal of Pharmacy and Technology. 2026;19(7):3084-8. doi: 10.52711/0974-360X.2026.00438 Available on: https://rjptonline.org/AbstractView.aspx?PID=2026-19-7-25
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