TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Upregulated Acute Systemic Inflammation-Related Genes Based on Endotoxin Exposure Provide ‘Survival Benefit’ or Create ‘High Risk of Death’ in Leukaemia and Colon Cancer(Istanbul University, 2024-07-10) Duran, Gizem Ayna; Duran, Assist. Prof. Dr. Gizem Ayna; Ayna Duran, GizemObjective: Although endotoxin exposure has been shown to trigger innate immune responses and promote cancer, it has also been shown to prevent cancer formation. In our study, survival analysis was performed to determine whether the upregulated genes triggered by endotoxins have hazardous effects on cancers or provide a survival benefit. Materials and Methods: Gene intensity values of control and bacterial endotoxin-administered individuals were obtained from the Gene Expression Omnibus database. Using the R "Linear Models for Microarray Data" package, differentially expressed gene analyses were conducted to determine genes that differ between healthy and bacterial endotoxin-administered samples. "ShinyGo 0.80" web-based tool was used to determine the disease types indicated by these genes. The "Kaplan-Meier Plotter" web-based tool was used to conduct survival analysis. Results: Genes that create an innate immune response to bacterial endotoxin exposure and are upregulated differently than in individuals without exposure were identified. According to gene enrichment analyses, the two main types of cancer identified were leukaemia/lymoma and colon cancer. We detected that MLF1, STAT5B, and BCL3 genes led to poor survival; however, the ARHGAP26 gene was protective for acute myeloid leukaemia patients. In the case of colon cancer, SMAD7 and TLR2 genes were determined as leading to "high risk of death". Conclusion: Once the systemic inflammation-related genes identified in our study are confirmed through laboratory experiments in samples taken from solid tissue in the case of colon cancer and at the level of genes obtained from blood samples in leukemias, genetically targeted treatments will also be possible.Article Kolanjiyokarsinom ve Hepatoselüler Karsinom Hastalarında Farklı Genler Tarafından Tetiklenen Ortak Biyolojik Yolaklar(2024-03-27) Ayna Duran, Gizem; Duran, Assist. Prof. Dr. Gizem AynaKolanjiyokarsinom (CHOL) erken teşhis edilmesi zor olan ve oldukça yüksek düzeyde öldürücü bir kanser türüdür. CHOL tanısında radyolojik görüntülemede kısıtlılıklar mevcuttur ve biyopsi ile tanı yöntemi gibi invaziv tanı yöntemleri dışında genetik tabanlı ve özgün biyobelirteçlerin belirlenmesi zorunlu hale gelmektedir. Literatürde bu amaçlar gerçekleştirilen çalışmalar çalışmalardan farklı olarak bizim çalışmamızda öncelikle intrahepatik (iCHOL) ve ekstrahepatik (eCHOL) kolanjiyokarsinom hastalarında ortak upregüle olan genler belirlenmiştir. Ayrıca çalışmamızda klinikte CHOL kanserlerinin LIHC kanserinden ayırt edici tanısının zor olması sebebiyle CHOL hastalarında hepatoselüler karsinomdan (LICH) farklı olarak ve LIHC hastaları ile ortak olarak upregüle edilen genlerin tespit edilmesi de amaçlanmıştır. Hastaların gen yoğunluk verileri NCBI Gene Expression Omnibus (GEO) veri tabanından (GSE121248, GSE132305 ve GSE45001) sağlanmıştır. Çalışmada R LIMMA paketinde yer alan lineer modelleme yöntemi kullanılarak kanserli olan ve olmayan örnekler arasında upregüle genler (differentially expressed genes-DEGs) tespit edilmiştir. Tespit edilen genlerin hangi biyolojik yolaklara etki ettiğini belirlemek için Gen seti zenginleştirme analizi (Fonksiyonel zenginleştirme analizi) (GSEA) ShinyGO 0.80 webtool kullanılarak yapılmıştır. Sonuçlarımıza göre CHOL hastalarında LIHC hastalarından farklı olarak upregüle edilen 4 gene (F2R, ITGA11, LAMC2 ve LAMB3) odaklanılmıştır. CHOL ve LIHC hastalarında ise ortak olarak upregüle edilen 2 gen (COL1A1, ITGA2) tespit edilmiştir. Söz konusu genlerinin ortak olarak işaret ettiği biyolojik yolaklar PI3K-Akt sinyal yolağı ve ekstraselüler matriks (ECM)-reseptör etkileşimi süreçleridir. Belirlenen genler ile protein-protein ve ilaç etkileşim çalışmaları sonuçları klinik denemeler ile desteklenip CHOL ile LIHC kanserlerinin ayırt edilmesinde etkin bir şekilde hedeflenebilecektir.Article Determination of Eight Hub Genes and Functional Pathways Affecting Both the Survival of Early- and Late-Stage Colon Cancer Patients(Kare Publ, 2023) Ayna Duran, Gizem; Sert, Fatma; Duran, Assist. Prof. Dr. Gizem Ayna; Duran, Gizem AynaOBJECTIVEThe stage of colon cancer (CC) and therefore the level at which the treatment is initiated affects the survival of CC patients. In our study, we aimed to identify the common survival-related genes in both early-and late-stage CC patients.METHODSInformation on the demographic characteristics of 581 patients and microarray expression profiles (GSE39582) were obtained from the gene expression omnibus database. Survival analysis was per-formed using univariate and multivariate Cox regression methods with the help of R3.53 programming language and Kaplan-Meier graphics through the R software Survival package. ShinyGO v0.741 gene ontology enrichment analysis was performed to clarify the common and functional pathways related to both early-and late-stage CC cancer patients' data.RESULTSCox regression analysis indicated that overall survival and relapse-free survival of CC patients were strongly influenced by stage. Genes that significantly affect prognosis and survival in early-and late -stage CC patients were identified. As a result of gene enrichment analysis, arginine binding, oxidore-ductase activity, and methylcytosine dioxygenase activity and related eight hub genes (TM4SF5, NOS3, Ten eleven translocation [TET1], TET3, JMJD7, AKR1C1, prenylcysteine oxidase 1 like, Methionine sulfoxide reductase A) were identified.CONCLUSIONAccording to our results, it might be considered that developing new treatment strategies based on eight hub-genes related to arginine binding, oxidoreductase activity, and methylcytosine dioxygenase activity detected at different stages of CC might increase the success of targeted therapies.