Network-based in silico modeling for drug repurposing and in vitro validation in hepatocellular carcinoma

Nalbat, Esra
Tunçbağ, Nurcan
Cetin-Atalay, Rengul
Hepatocellular carcinoma (HCC) is the sixth most commonly diagnosed cancer and a leading cause of death worldwide. The hyperactivated cell survival signaling pathways cause resistance to conventional chemotherapeutics so that targeted therapies could extend patient survival for only a few months. Furthermore, there are limited chemotherapeutics for HCC patients due to impaired liver functions. Thus, it is vital to determine repurposed drugs and drug combinations in HCC treatment.


Network-based discovery of molecular targeted agent treatments in hepatocellular carcinoma
Fayetörbay, Rumeys; Tunçbağ, Nurcan; Department of Bioinformatics (2020)
Hepatocellular carcinoma (HCC) is one of the most-deadly cancers and the most common type of primary liver cancer. Multikinase inhibitor Sorafenib is one of FDA approved targeted agents in HCC treatment. PI3K/AKT/mTOR pathway is altered in about 51% of HCC; hence, understanding how Sorafenib and PI3K/AKT/mTOR pathway inhibitors act at signaling level is crucial for targeted therapies and to reveal the off-target effects. In this work, we use gene expression profiles (GEPs) of HCC cells (Huh7 and Mahlavu) wh...
Characterization of liposomal celecoxib formulation as a drug delivery system in colorectal cancer cell lines
Erdoğ, Aslı; Banerjee, Sreeparna; Department of Biotechnology (2012)
Colorectal carcinoma (CRC) is one of the most common cancers and is the leading cause of cancer deaths in much of the developed world. Owing to the high incidence of drug resistance and potential toxic effects of chemotherapy drugs, much research is currently underway to design better strategies for smart drug delivery systems. Cyclooxygenase-2 (COX-2) pathway is associated with poor prognosis in colon carcinomas. The selective COX-2 inhibitor drug Celecoxib (CLX) has been shown to posses COX-2 independent ...
Capture and release of viable CTCs in microfluidic channel
Ateş, Hatice Ceren; Şen Doğan, Begüm; Özgür, Ebru; Külah, Haluk (null; 2017-10-04)
The number of circulating tumor cells (CTCs) in blood is associated with prognosis in several types of cancer. Isolation and characterization of CTCs have important clinical significance in terms of prognosis and early detection of response to treatment. Moreover, downstream characterization of CTCs may help better patient stratification and therapy guidance. However, CTCs are extremely rare and highly sensitive and specific technology is required to isolate viable CTCs from blood cells. In this study, a su...
Synthesis of novel indole-isoxazole hybrids and evaluation of their cytotoxic activities on hepatocellular carcinoma cell lines
Hawash, Mohammed; Kahraman, Deniz Cansen; Ergun, Sezen Guntekin; Cetin-Atalay, Rengul; BAYTAŞ, SULTAN (2021-12-01)
Background Liver cancer is predicted to be the sixth most diagnosed cancer globally and fourth leading cause of cancer deaths. In this study, a series of indole-3-isoxazole-5-carboxamide derivatives were designed, synthesized, and evaluated for their anticancer activities. The chemical structures of these of final compounds and intermediates were characterized by using IR, HRMS, H-1-NMR and C-13-NMR spectroscopy and element analysis. Results The cytotoxic activity was performed against Huh7, MCF7 and HCT116...
Analyses and modeling of ovarian cancer microarray data
Karakelle, Barış S; Purutçuoğlu Gazi, Vilda; Department of Biomedical Engineering (2019)
Ovarian cancer is one of the common cancer types among other oncological diseases. The major causes of this cancer can be listed as age, obesity, hormone therapy, material inheritance and contraceptive pills. Due to its generality and importance, many researches have been conducted from distinct labs about this illness and its plausible causes have been intensively investigated either inmicroarray studies, where just part of the related genes are detected, or in thepairwise correlation analyses between the ...
Citation Formats
E. Nalbat, N. Tunçbağ, and R. Cetin-Atalay, “Network-based in silico modeling for drug repurposing and in vitro validation in hepatocellular carcinoma,” Erdemli, Mersin, TÜRKİYE, 2022, p. 3104, Accessed: 00, 2023. [Online]. Available: