Molecular Biology of Liver Cancer

Tulin, Ersahin
Öztürk, Mehmet
Atalay, Rengül
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer‐related mortality worldwide. Recent advances in the molecular profiling of HCC emphasize its intratumoral heterogeneity and reveal how cellular pathways are altered in favor of tumor progression. Malignant transformation of primary liver cancer is achieved through the acquisition of cancer hallmark capabilities that promote the uncontrolled proliferation of hepatocytes. In this review, the characteristics and acquired capabilities of human primary liver cancer, based on the HCC‐specific genetic and epigenetic alterations, are described and discussed


In vitro autocrine secretion of inflammatory cytokines in response to drug stress in HCC and LCSC populations
Kalem Yapar, Nisan Ece; Muyan , Mesut; Kahraman, Deniz Cansen; Department of Biology (2022-1-26)
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality. Regardless of its etiology, HCC originates from the constant wound-healing response subsequent to cell death and resulting in a cascade of inflammation. Hence, understanding the importance of inflammatory markers in HCC lies a great importance. A well-known pro-inflammatory cytokine; interleukin-6 has been numerously reported in the sera of HCC patients. This study investigated the effects of IL-6 stimulation in HCC cel...
Statistical estimation applied to electrocardiographic imaging
Serinağaoğlu Doğrusöz, Yeşim (2019-05-01)
Cardiovascular diseases are among the leading causes of death all over the world. Researchers have been extensively working on methods for early diagnosis and treatment of these diseases, with the goal of decreasing these death tolls. In Electrocardiographic Imaging (ECGI), the electrical activity of the heart is estimated from electrocardiographic measurements obtained from the body surface, using densely distributed electrodes, and a mathematical model of the body. This technique has advantages over class...
Akar, Etkin; Muyan, Mesut; Kahraman, Deniz Cansen; Department of Biology (2023-1-23)
Hepatocellular carcinoma (HCC) is life-threatening cancer that accounts for the second leading cause of cancer-related deaths worldwide. Due to the complexity and heterogeneity of HCC, which leads to resistance to current targeted therapies, combination therapy becomes an important strategy. Since 90% of HCC arises from chronic liver inflammation, HCC drugs combined with non-steroid anti- inflammatory drugs (NSAIDs) are considered an important strategy to increase treatment efficacy. In this study, we aimed...
Selenium alters the lipid content and protein profile of rat heart: An FTIR micro spectroscopic study
Toyran, Neslihan; Turan, Belma; Severcan, Feride (Elsevier BV, 2007-02-15)
Cardiovascular disease is one of the most important causes of morbidity and mortality in Western countries. In addition, it is well documented that selenium (Se) deficiency has been linked to cardiovascular diseases. This study was undertaken to present the effect of sodium selenite on left and right myocardia, and small veins of normal control rat heart at molecular level by using Fourier transform infrared (FTIR) microspectroscopy. The results mainly reveal that, Se treatment causes an increase in lipid c...
Experimental validation of drug responses predicted by deep learning-based bioactivity models in hepatocellular carcinoma cell lines
Akar, Etkin; Ozcan, Umut Onur; Mohammadvand, Navid; Doğan, Tunca; Kahraman, Deniz Cansen (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10)
Hepatocellular carcinoma (HCC) is one of the deadliest cancers worldwide. Although it has high mortality rate, there are currently few drugs available as treatment options. Therefore, there is an urgent need for intensive basic research and clinical trials in HCC. With the utilization of computational predictive approaches, effective treatment strategies, which leverage target-based drug response predictions, can be developed. This study aims to validate the results of deep learning-based prediction method,...
Citation Formats
E. Tulin, M. Öztürk, and R. Atalay, Molecular Biology of Liver Cancer. 2015, p. 243.