Tuğba Toyran, M.D., is an Assistant Professor in the Department of Pathology, Faculty of Medicine, Çukurova University, Adana, Türkiye. She received her medical degree from Çukurova University Faculty of Medicine and completed her residency training in Medical Pathology at the same institution in 2018. She joined the academic staff of Çukurova University and has been serving as an Assistant Professor of Pathology since 2023. Her main research interests include oncologic pathology, breast pathology, hematopathology, and gastrointestinal pathology, with particular emphasis on immunohistochemical and molecular biomarkers of diagnostic, predictive, and prognostic significance. Her research has addressed biomarkers such as PD-L1, microsatellite instability, and CLDN18.2 in several tumor types, including breast, gastrointestinal, hepatobiliary, renal, and hematolymphoid malignancies. She is also involved in multidisciplinary research focusing on tumor biology, tumor microenvironment, digital pathology, and the application of artificial intelligence to histopathological image analysis.
Tuğba Toyran, M.D., is an Assistant Professor in the Department of Pathology, Faculty of Medicine, Çukurova University, Adana, Türkiye. She received her medical degree from Çukurova University Faculty of Medicine and completed her residency training in Medical Pathology at the same institution in 2018. She joined the academic staff of Çukurova University and has been serving as an Assistant Professor of Pathology since 2023. Her main research interests include oncologic pathology, breast pathology, hematopathology, and gastrointestinal pathology, with particular emphasis on immunohistochemical and molecular biomarkers of diagnostic, predictive, and prognostic significance. Her research has addressed biomarkers such as PD-L1, microsatellite instability, and CLDN18.2 in several tumor types, including breast, gastrointestinal, hepatobiliary, renal, and hematolymphoid malignancies. She is also involved in multidisciplinary research focusing on tumor biology, tumor microenvironment, digital pathology, and the application of artificial intelligence to histopathological image analysis.