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Tumor Discovery                                                  Drug repurposing for pancreatic cancer via AI




            Table 3. Overview of potential multi‑molecular drugs screened for pancreatic ductal adenocarcinoma treatment based on three
            drug design specifications using a systematic drug discovery approach
            Target drug       c‑MYC         FOXO3         TP53        Sensitivity (PRISM)   Toxicity (LC50, mol/kg)
            MK-2206                         •                            0.772406631               5.561
            Gemcitabine       •                           •              2.417963872               2.381
            MK-2206                                       Gemcitabine












            Note: • Denotes drug targeting on the corresponding biomarker.
            Abbreviations: FOXO3: Forkhead box O3; LC50: Lethal concentration 50%; PRISMA: Pharmaceutical Regulatory Information System; TP53: Tumor
            suppressor p53.

            we  selected gemcitabine as  a potential  drug  for  further   important to consider potential synergistic or antagonistic
            evaluation.                                        effects between the drugs, which may not have been fully
              MK-2206 is an AKT inhibitor. Abnormal activation of   captured in the model predictions.
            the PI3K/AKT signaling pathway affects cell metabolism   These limitations should be addressed in future
            and survival, cell cycle progression, apoptosis regulation,   research to enhance the reliability and applicability of drug
            protein synthesis, and genome instability.  Since the PI3K/  repurposing strategies in PDAC treatment.
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            AKT pathway is frequently dysregulated in many cancers,
            MK-2206 inhibits AKT and downregulates FOXO3, 70,71    5. Conclusion
            thereby exhibiting anti-tumor activity and increasing cancer   In this research, we employed a systems biology approach
            cell sensitivity to chemotherapy and radiotherapy. MK-2206   to construct candidate GWGENs by mining large-scale
            is often used in combination with other chemotherapy   databases. We then applied system identification and order
            drugs to improve therapeutic efficacy.  Current studies   detection methods to eliminate false positive interactions
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            show that MK-2206 is well tolerated and can effectively   within candidate GWGENs, thereby generating the real
            block AKT signaling,  making it a promising candidate for   GWGENs for PDAC and healthy controls. Using  the
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            repurposing as a potential drug for PDAC treatment.  principal network projection method, we extracted the core
              However, this study has several limitations. First,   GWGENs for both PDAC and healthy controls. To elucidate
            the analysis was based on GSE183795 microarray data,   the oncogenic mechanisms of PDAC, we annotated the core
            and the quality and completeness of this dataset directly   GWGENs with KEGG pathways to identify core signaling
            influence the accuracy of the results. If the dataset contains   pathways in PDAC and healthy controls. By comparing the
            significant noise or incomplete data, it may lead to erroneous   core signal pathways between PDAC and healthy controls,
            conclusions. Second, the findings of this study are primarily   we investigated the association between these pathways and
            based on mathematical modeling and bioinformatics   downstream cellular dysfunctions in PDAC, identifying
            analysis, and lack direct experimental validation.   key biomarkers involved in the carcinogenesis of PDAC as
            Predictions made without experimental confirmation may   potential drug targets. With these drug targets, we utilized
            face challenges in practical application, highlighting the   a  DNN-based  DTI  model  to  predict  the  probability of
            need for further laboratory experiments to confirm the   interaction between the drugs and their targets. Based on
            results. While there is limited experimental research on   the drug’s regulatory ability, sensitivity, and toxicity, we
            the combination treatment of MK-2206 and gemcitabine,   selected a potential multi-molecular drug combination.
            existing studies suggest that this combination may be   Ultimately, we identified MK-2206 and gemcitabine as a
            effective. 74,75  Additionally, although our study predicts   promising combination for PDAC treatment, targeting
            multi-drug combination, the actual pharmacodynamic   significant biomarkers such as c-MYC, FOXO3, and TP53,
            interactions and effects of this combination need to be   as shown in Table 3. While the Drug Interaction Checker
            verified through in vivo and in vitro experiments. It is also   suggests that there is no known interaction between these


            Volume 4 Issue 1 (2025)                         63                                doi: 10.36922/td.4709
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