HEPATİT C İLE KARACİĞER KANSERİ ARASINDAKİ İLİŞKİNİN VERİ TABANLARI ÜZERİNDEN ARAŞTIRILMASI

Abstract

Amaç: Hepatit C virüsü (HCV) enfeksiyonlarının küresel prevalansı son zamanlarda epidemik seviyelere ulaşmıştır. Hepatoselüler karsinom (HCC) olarak bilinen karaciğer kanseri, tespit edildiğinde çok öldürücüdür ve tedaviye erişimi olmayan, kalıcı HCV enfeksiyonu olan kişilerde yaygındır. Son çalışmalar, HCV tarafından kodlanan proteinlerin, enfekte hepatositlerde kanser gelişimine katkıda bulunduğunu göstermiştir. HCC ve karaciğer kanserine yönelik tedaviler geliştirmek için viral proteinlerin konak hücre proteinleriyle nasıl etkileşime girdiğini anlamak önemlidir. Gereç ve Yöntemler: HCC ve HCV ile ilişkili yaygın DEG’lerin yolaklarını tanımlamak için Reactome, WikiPathways, KEGG ve Biocarta veritabanlarını kullandık. Bulgular: Biyoenformatik yaklaşımlar aracılığıyla bu çalışmada, hepatit C ile ilişkili karaciğer kanserinin patogenezinin altında yatan moleküler mekanizmaları belirlemek için ortak diferansiyel genler ve ilgili yolaklar keşfedildi. Gen-gen etkileşimlerinin araştırılması daha etkili tedavi yaklaşımlarına yol açabilir. Karaciğer kanseri transkriptom verileri, 708 genin HCC ile ilişkili olduğunu tanımladı. Hepatit C enfeksiyonuna ilişkin veriler, HCV ile bağlantılı 1768 gen ortaya çıkardı. Daha sonra Venn diyagramı HCV ve HCC’de ortak olan 152 DEG’i tanımladı. Sonuç: Hepatit C ile ilişkili karaciğer kanserinde, PPI analizi yoluyla belirlediğimiz ilk 20 hedef genin biyobelirteç olarak kullanabileceğine inanıyoruz.

Keywords

• Hepatoselüler karsinom
• hepatit C virüsü
• veritabanları
• genler
• biyoinformatik
• yolaklar

INVESTIGATION OF THE RELATIONSHIP BETWEEN HEPATITIS C AND LIVER CANCER DATABASES

Abstract

Objective: The global prevalence of hepatitis C virus (HCV) infections has recently reached epidemic levels. Liver cancer, known as hepatocellular carcinoma (HCC), is extremely lethal once detected and is common in those with persistent HCV infection without access to appropriate therapy. Recent studies have shown that HCV-encoded proteins contribute to cancer development in infected hepatocytes. To develop treatments for HCC and liver cancer, it is essential to understand how viral proteins interact with host cell proteins. Material and Methods: We used the Reactive, WikiPathways, KEGG, and Biocarta databases to identify common DEG pathways associated with HCC and HCV. Results: Through bioinformatics approaches, this study identified common differential genes and related pathways to determine the molecular mechanisms underlying the pathogenesis of hepatitis C-related liver cancer. Investigating gene-gene interactions may lead to more effective treatment approaches. The liver cancer transcriptome identified 708 genes associated with HCC. Data on hepatitis C infection revealed 1768 genes linked to HCV. The Venn diagram then identified 152 DEGs common to HCV and HCC. Conclusion: We believe that hepatitis C-related liver cancer can be predicted using the first 20 target genes identified through PPI analysis.

Keywords

• Hepatocellular carcinoma
• hepatitis C virus
• databases
• genes
• bioinformatics
• pathways

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