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Eurasian Journal of Medicine and
            Oncology
                                                                              Cancer pathway ranking through odds ratios


              The distinct enrichment patterns across zones reflect the   The  spatial  distribution of pathways  across  zones
            functional hierarchy of the network, with central proteins   provides insights into their functional roles. For instance,
            (zone 1) acting as master regulators, while peripheral proteins   the  significant enrichment  of  the  TNF  pathway in  zone
            in the outer zones contribute to less specialized processes.  1 (OR = 4.22) indicates its central role in inflammatory
                                                               responses linked to cancer. The PI3K-AKT pathway, while
            3.2.3. Statistical significance of OR values       dominant in zone 1, extends into outer zones, suggesting

            To assess the probability of specific proteins appearing in   its involvement in both core and peripheral signaling
            a given zone, OR values were calculated based on their   processes. In contrast, JAK-STAT, mTOR, and Wnt pathways
            distribution across the network (Table  3). The statistical   show relatively more stable distributions, suggesting their
            significance of these OR values was determined using   complementary roles in cancer progression.
            95% CIs, which provide a measure of the precision and   In summary, the analysis suggests that, in most cases,
            reliability.                                       the probability of a protein belonging to a cancer-related
              The TNF pathway exhibited an OR of 4.22 (CI: 2.68 –   pathway is greater in zone 1 than in zone 2. If these
            6.66), indicating that proteins associated with this pathway   pathways are particularly relevant to cancer research, the
            are approximately 4 times more likely to be found in zone   findings indicate that proteins within zone 1 are more
            1 than in zone 2. The lower bound of the CI (2.68) being   likely to be associated with key oncogenic processes.
            well above 1 confirms the statistical significance of this result   3.3. Key proteins driving cancer-related signaling
            (p < 0.05), underscoring the TNF pathway’s central role in   pathways
            the network core and its potential role in cancer progression.
                                                               3.3.1. The ten most significant proteins in signaling
              In contrast, pathways such as JAK-STAT (OR: 1.17,   pathways across various zones
            CI: 0.756 – 1.83), mTOR (OR: 1.2, CI: 0.74 – 1.94), and
            Wnt (OR: 1.06, CI: 0.67 – 1.69) had ORs close to 1, with   To determine the proteins involved in the greatest number
            CIs that include 1, suggesting a more even distribution   of pathways,  the top ten were selected. Each of these
            across zones without a statistically significant preference   proteins is present in at least three pathways, with all being
            for zone 1. Despite the PI3K-AKT pathway’s dominance   part of the PI3K and mTOR pathways (Table 4). A value of
            in  zone  1  (51%  of  signaling  proteins),  its  OR  was  0.87
            (CI: 0.6 – 1.29), indicating a slightly lower likelihood of   Table 4. Distribution of ten most significant proteins in
            being concentrated in zone 1 compared to zone 2, though   signaling pathways within zones
            this result was not statistically significant. These findings   Name of   PI3K‑   TNF  JAK‑STAT  mTOR  Wnt  Average
            highlight the TNF pathway as a statistically significant   protein  AKT                     (%)
            outlier in zone 1, emphasizing its unique role in the network   PRKCA  1  0  0    1    1     60
            core. Overall, the TNF pathway stands out as the most
            significant differentiating  factor  between  the two  zones,   SOS2  1  0  1     1    0     60
            with its proportion dropping dramatically beyond zone   AKT1  1    1      1       1    1     80
            3 to approximately 10% (Table 2), while other pathways   PIK3CA  1  1     1       1    0     80
            exhibit a more consistent distribution across the zones.  AKT2  1  1      1       1    0     80
                                                               AKT3      1     1      1       1    0     80
            Table 3. ORs and confidence intervals for key cancer‑related   PIK3CB  1  1  1    1    0     80
            pathways                                           PIK3CD    1     1      1       1    0     80

            Pathway category  OR          Confidence interval  PIK3R2    1     1      1       1    0     80
                                        Lower       Upper      PIK3R3    1     1      1       1    0     80
            TNF               4.16       2.62        6.6       Abbreviations: PRKCA: Protein kinase C alpha; SOS2: Son of sevenless
            JAK-STAT          1.22       0.78        1.91      homolog 2; AKT1: AKT serine/threonine kinase 1;
                                                               PIK3CA: Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit
            mTOR              1.26       0.77        2.04      alpha; AKT2: AKT serine/threonine kinase 2; AKT3: AKT serine/threonine
            Wnt               1.02       0.64        1.63      kinase 3; PI3KCB: Phosphatidylinositol-4,5-bisphosphate 3-kinase
                                                               catalytic subunit beta; PI3KCD: Phosphatidylinositol-4,5-bisphosphate
            PI3K-AKT          0.89       0.61        1.31      3-kinase catalytic subunit delta; PIK3R2: Phosphoinositide-3-kinase
            Abbreviations: OR: Odds ratio; PI3K-AKT: Phosphatidylinositol   regulatory subunit 2; PIK3R3: Phosphoinositide-3-kinase regulatory
            3-kinase-protein kinase B; TNF: Tumor necrosis factor;   subunit 3; PI3K-AKT: Phosphatidylinositol 3-kinase-protein kinase B;
            JAK-STAT: Janus kinase-signal transducer and activator of   TNF: Tumor necrosis factor; JAK-STAT: Janus kinase-signal transducer
            transcription; mTOR: Mammalian target of rapamycin.  and activator of transcription; mTOR: Mammalian target of rapamycin.


            Volume 9 Issue 2 (2025)                         82                              doi: 10.36922/ejmo.8082
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