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Eurasian Journal of Medicine
                                                                                        and Oncology





                                        ORIGINAL RESEARCH ARTICLE
                                        Ranking cancer pathways at the core of the

                                        protein interaction network: Identifying key
                                        signaling protein using the odds ratio test



                                        Emad Fadhal *  and Neji Saidi 1,3
                                                   1,2
                                        1 Department of Mathematics and Statistics, College of Science, King Faisal University, Al-Ahsa,
                                        Saudi Arabia
                                        2 Department of Mathematics and Applied Mathematics, University of the Western Cape, Private Bag
                                        X17, Bellville, South Africa
                                        3 Higher Institute of Informatics in Kef (ISIK), University of Jendouba, Tunisia




                                        Abstract

                                        Understanding  the  intricate  network of cancer  pathways  within protein-protein
                                        interactions (PPIs) presents a considerable challenge. Ranking these pathways
                                        by  importance  is  difficult,  as  their  relevance  varies  depending  on  cancer  type
                                        and specific biological context. In this study, a probability odds ratio (OR) test was
                                        employed to uncover significant insights into this complexity. PPI networks were
                                        analyzed as a metric space to gain insights into their organization and functional
            *Corresponding author:      architecture. A  central protein was identified as the network’s “center,” with other
            Emad Fadhal                 proteins grouped into specific zones according to their proximity to this central point.
            (efadhal@kfu.edu.sa)        The analysis focused on the central zones of the network, examining pathways for
            Citation: Fadhal E, Saidi N.   functional enrichment, investigating molecular mechanisms linked to oncogenes
            Ranking cancer pathways at the   and tumor suppressors, and identifying critical proteins involved in key cellular
            core of the protein interaction   processes. The findings highlight the importance of central proteins and pathways
            network: Identifying key signaling
            protein using the odds ratio test.   in driving oncogenesis and offer potential therapeutic targets. The analysis revealed
            Eurasian J Med Oncol.       an enrichment of cancer-related pathways, including PI3K-AKT, TNF, JAK-STAT, mTOR,
            2025;9(2):78-86.            and Wnt, with central zones of the interaction network demonstrating an important
            doi: 10.36922/ejmo.8082
                                        role in cancer progression. Zones 1 and 2 showed a dense concentration of cancer-
            Received: December 19, 2024  associated pathways, highlighting the critical roles of core proteins in signaling and
            1st revised: December 21, 2024  functional interactions essential to tumor biology. Among the pathways, the PI3K-
                                        AKT pathway was dominant in zone 1, accounting for approximately 51% of signaling
            2nd revised: January 23, 2025  proteins. The TNF pathway exhibited a distinct pattern, with an OR of 4.22, indicating
            Accepted: February 8, 2025  its higher concentration in zone 1 compared to zone 2. In contrast, pathways such
                                        as JAK-STAT, mTOR, and  Wnt showed more stable distributions across zones but
            Published online: February 26,
            2025                        exhibited slightly lower ORs. Importantly, ten proteins emerged as key players, central
                                        to multiple pathways and crucial for cancer progression, cell survival, and metabolism.
            Copyright: © 2025 Author(s).   These proteins – PRKCA, SOS2, AKT1, PIK3CA, AKT2, AKT3, PIK3CB, PIK3CD, PIK3R2,
            This is an Open-Access article
            distributed under the terms of the   and PIK3R3 – are closely associated with oncogenic processes. Each contributes to cell
            Creative Commons Attribution   proliferation, survival, and differentiation, with functional implications across various
            License, permitting distribution,   cancer types, including lung cancer. Understanding the roles of these proteins within
            and reproduction in any medium,   the  broader  cancer  pathway  network  deepens  knowledge  of tumor  biology and
            provided the original work is
            properly cited.             opens new possibilities for the development of novel therapeutic approaches.
            Publisher’s Note: AccScience
            Publishing remains neutral with   Keywords: Cancer pathways; Protein interaction networks; Therapeutic targets; Odds
            regard to jurisdictional claims in
            published maps and institutional   ratio analysis; Lung cancer progression; PI3K-AKT signaling
            affiliations.

            Volume 9 Issue 2 (2025)                         78                              doi: 10.36922/ejmo.8082
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