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Han et al. Cancer Drug Resist 2024;7:16  https://dx.doi.org/10.20517/cdr.2024.01  Page 3 of 25

               activity. Among its eight components of cucurbitacins with notable anticancer activity are cucurbitacin B,
                                               [11]
                                                                                     [12]
               D, E, I, C, II, A, L-glucoside, S and R . Its enantiomeric isomer, Cucurbitacin B , has long been known
                                                        [15]
               for its role in lung cancer [13,14] , colorectal cancer , colon cancer , and glioma . Melon pedicle was first
                                                                      [16]
                                                                                   [17]
               documented in Shennong’s Herbal Classic, which describes its function in eliminating dampness and
               inducing vomiting. Furthermore, many ancient texts, such as “Shengji General Record”, “Qianjin Yaofang”,
               and “Ancient and Modern Medical Systems” also documented the use of melon pedicels for treating
               toothache, malaria, and hemorrhoids. Modern research has revealed that melon stalks have antitumor,
               hepatoprotective, and other beneficial effects. Clinical reports also indicate the utilization of melon stalks in
               the treatment of acute jaundice, infectious hepatitis, chronic rhinitis, chronic hepatitis, primary liver cancer,
               and other conditions. However, the anti-glioma effects of isocuB have not been proven.


               While much is known about the molecular, structural, energetic, and chemical aspects of drug-target
               interactions, challenges remain in the selection and definition of targets, hindering the advancement of
               pharmacology and pharmacotherapy to an exact science . The development of network pharmacology and
                                                              [18]
               bioinformatics will not only reduce the cost of drug development, but also shorten the time required for
               drug development. Furthermore, molecular docking techniques enable the prediction of the binding
               affinities and conformations of receptors and ligands [19,20] . This has been extremely helpful in our research. A
               deeper comprehension of the role of microRNAs (miRNAs) in development and disease, particularly in
               cancer, renders them attractive tools and targets for innovative therapeutic approaches. Functional studies
               have indicated the causal role of miRNA dysregulation in many cancers. MiRNAs show promise in
               preclinical development as tumor suppressors or oncogenes miRNA mimics, and molecules targeting
               miRNAs .
                      [21]

               The aim of our study was to predict the target genes and pathways of isocuB against glioma using network
               pharmacology and data analysis. Afterwards, we validated these predictions through Counting Kit-8
               (CCK-8), wound healing assay, transwell invasion, TdT-mediated dUTP-biotin nick end labeling (TUNEL)
               staining, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), WB, and tumor growth
               experiments in nude mice. Then, we further investigated and predicted the relationship between miRNA
               and  resistance  to  the  drug  TMZ.  Our  study demonstrated  that  isocuB  exerts  its  inhibitory  effects  on
               glioma  by  regulating  specific  pathways  and  gene expression,  suggesting  a  novel and  effective  treatment
               approach for glioma.



               METHODS
               Network pharmacology and databases analysis
               Predicting the target genes of isocuB
               In this study, we used the Comparative Toxicogenomics database (http://ctdbase.org/), the PharmMapper
               database (http://www.lilab-ecust.cn/pharmmapper/), and the SwissTargetPrediction database (https://www.
               sib.swiss/). We set our filter to “number of interactions > 1” to identify isocuB targets. In total, 300 potential
               targets predicted for isocuB were identified.

               Search related therapeutic target genes of glioma
               We simultaneously used “glioma” as a keyword in the Online Catalog of Human Genes and Disorders
               (OMIM) database (https://www.omim.org/), the CTD database, and the GeneCards database (https://www.
               genecards.org). We set the filter to “Relevance score ≥ 10” to search for therapeutic targets associated with
               glioma. After collating the results, we identified 22,320 relevant therapeutic targets by removing duplicate
               values.
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