Browsing by Author "Arıkan, Soykan"
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The efects of serum levels, and alterations in the genes of binding protein and receptor of vitamin D on gastric cancer
Durak, Şermin; Gheybi, Arezoo; Demirkol, Şeyda; Arıkan, Soykan; Zeybek, Z. Ümit; Akyüz, Filiz; Yaylım, İlhan; Küçükhüseyin, Özlem (Springer Nature, 2019)Due to many biological cell functions of vitamin D including regulation of cell survival, proliferation and differentiation, the metabolism of itself gains importance in the development of several types of cancer. This ... -
The importance of sPD-1, sOX40L and sGITR in terms of clinicopathology and histopathology in gastric cancer
Horozoğlu, Cem; Sönmez, Dilara; Küçükhüseyin, Özlem; Demirkol, Şeyda; Hakan, Mehmet Tolgahan; Arıkan, Soykan; Yaylım, İlhan (De Gruyter, 2021)Abstract: Objectives: Immunoregulatory GITR, OX40L and PD-1 molecules play an active role in the regulation of tumor microenvironment and have been shown in many cancer types. However, there are limited studies of these ... -
Investigation of possible associations between tryptophan/kynurenine status and FOXP3 expression in colorectal cancer
Ay, Ebru Nur; Demirkol, Şeyda; Hakan, Mehmet Tolgahan; Horozoğlu, Cem; Arıkan, Soykan; Doğan, Mehmet Baki; Akyüz, Filiz; Özsoy Hepokur, Ceylan; Yaylım, İlhan (Taylor and Francis Group, 2022)Tryptophan metabolism in the tumor microenvironment exerts immunosuppressive effects by affecting the anti-tumor functions of immune cells. The immunosuppressive roles of tryptophan and tryptophan metabolites and their ... -
Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models
Çakmak, Ali; Ayaz, Huzeyfe; Arıkan, Soykan; İbrahimzada, Ali R.; Demirkol, Şeyda; Sönmez, Dilara; Hakan, Mehmet T.; Sürmen, Saime; Horozoğlu, Cem; Doğan, Mehmet B.; Küçükhüseyin, Özlem; Cacına, Canan; Kıran, Bayram; Zeybek, Ümit; Baysan, Mehmet; Yaylım, İlhan (Springer Nature, 2022)AbstractThis study explores the machine learning-based assessment of predisposition to colorectal cancer based on single nucleotide polymorphisms (SNP). Such a computational approach may be used as a risk indicator and an ...