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Öğe Effect of body mass index in gastric cancer patients: Analysis of Turkish national gastric cancer registry(Amer Soc Clinical Oncology, 2015) Ciltas, Aydin; Karaca, Mustafa; Uncu, Dogan; Ozkan, Metin; Aliustaoglu, Mehmet; Tekin, Salim Basol; Cicin, Irfan[Abstract Not Available]Öğe Enhancing Treatment Decisions for Advanced Non-Small Cell Lung Cancer with Epidermal Growth Factor Receptor Mutations: A Reinforcement Learning Approach(Mdpi, 2025) Bozcuk, Hakan Sat; Sert, Leyla; Kaplan, Muhammet Ali; Tatli, Ali Murat; Karaca, Mustafa; Muglu, Harun; Bilici, AhmetBackground: Although higher-generation TKIs are associated with improved progression-free survival in advanced NSCLC patients with EGFR mutations, the optimal selection of TKI treatment remains uncertain. To address this gap, we developed a web application powered by a reinforcement learning (RL) algorithm to assist in guiding initial TKI treatment decisions. Methods: Clinical and mutational data from advanced NSCLC patients were retrospectively collected from 14 medical centers. Only patients with complete data and sufficient follow-up were included. Multiple supervised machine learning models were tested, with the Extra Trees Classifier (ETC) identified as the most effective for predicting progression-free survival. Feature importance scores were calculated by the ETC, and features were then integrated into a Deep Q-Network (DQN) RL algorithm. The RL model was designed to select optimal TKI generation and a treatment line for each patient and was embedded into an open-source web application for experimental clinical use. Results: In total, 318 cases of EGFR-mutant advanced NSCLC were analyzed, with a median patient age of 63. A total of 52.2% of patients were female, and 83.3% had ECOG scores of 0 or 1. The top three most influential features identified were neutrophil-to-lymphocyte ratio (log-transformed), age (log-transformed), and the treatment line of TKI administration, as tested by the ETC algorithm, with an area under curve (AUC) value of 0.73, whereas the DQN RL algorithm achieved a higher AUC value of 0.80, assigning distinct Q-values across four TKI treatment categories. This supports the decision-making process in the web-based 'EGFR Mutant NSCLC Treatment Advisory System', where clinicians can input patient-specific data to receive tailored recommendations. Conclusions: The RL-based web application shows promise in assisting TKI treatment selection for EGFR-mutant advanced NSCLC patients, underscoring the potential for reinforcement learning to enhance decision-making in oncology care.Öğe Pazopanib for metastatic soft-tissue sarcoma: A multicenter retrospective study(Sage Publications Ltd, 2021) Koca, Sinan; Besiroglu, Mehmet; Ozcelik, Melike; Karaca, Mustafa; Bilici, Mehmet; Hacioglu, Bekir; Dogu, Gamze G.Purpose Soft tissue sarcomas are associated with a poor prognosis and low chemotherapeutic efficiency. Pazopanib is an orally available multi-tyrosine kinase inhibitor that was explored in patients with non-adipocytic advanced soft tissue sarcomas. The aim of this retrospective study was to evaluate the real life data of single-agent pazopanib efficacy and safety for soft tissue sarcomas in the Turkish population. Materials and methods We evaluated a total of 103 patients (41 males, 62 females) who received pazopanib for advanced non-adipocytic soft tissue sarcomas diagnosis in eight centers of Turkey, retrospectively. The pazopanib dose was 800 mg once daily. Progression-free survival, overall survival, and adverse events were analyzed. Results The median age was 50 years (range, 38-58). Majority of the patients had leimyosarcoma (41%). Median progression-free survival was 4.3 months, and the median overall survival was 10.1 months. The main common toxicities were fatigue, anorexia, weight loss, nausea, hypertension, and grade >= 3 toxicities were fatigue, anorexia, weight loss, and liver disorder. Conclusion Pazopanib is an efficient and tolerable agent and is well tolerated in good performance status patients with relapsed, advanced non-adipocytic soft tissue sarcomas.Öğe Real-world treatment outcomes from nationwide Onco-colon Turkey registry in RAS wild-type patients treated with biologics second-line mCRC.(Lippincott Williams & Wilkins, 2022) Yildirim, Mahmut Emre; Karaca, Mustafa; Artac, Mehmet; Cicin, Irfan; Geredeli, Caglayan; Alacacioglu, Ahmet; Simsek, Eda Tanrikulu[Abstract Not Available]Öğe Sequential Use of Sorafenib and Regorafenib in Hepatocellular Cancer Recurrence After Liver Transplantation: Treatment Strategies and Outcomes(Mdpi, 2024) Ozbay, Mehmet Fatih; Harputluoglu, Hakan; Karaca, Mustafa; Tekin, Omer; Sendur, Mehmet Ali Nahit; Kaplan, Muhammed Ali; Sahin, BerksoyBackground and Aims: During liver transplantation, hepatocellular carcinoma (HCC) recurrence remains a critical challenge for patient survival. Targeted therapies, such as sorafenib and regorafenib, have been utilized to manage relapsed HCC in this unique setting. This study aimed to assess the efficacy of Sorafenib and Regorafenib in patients with HCC who experienced recurrence after liver transplantation. We focused on survival outcomes, treatment responses, and the management of side effects in this patient group. Methods: We conducted a retrospective analysis of 73 patients who experienced HCC recurrence post-liver transplantation between 2012 and 2022 across 11 oncology centers in Turkey. Patients were categorized according to Child-Pugh classification and treated with sorafenib as first-line therapy and Regorafenib in case of progression. Survival rates were analyzed using the Kaplan-Meier method, and risk factors were evaluated using Cox regression analysis. Results: Of the 73 patients included in the study, 62 were male (84.9%), and 11 were female (15.1%), with a mean age of 61.5 +/- 10.9 years. All patients received sorafenib as first-line treatment. Among patients who experienced progression with sorafenib or discontinued treatment due to toxicity, 45.2% (n = 33) continued treatment with regorafenib. The median progression-free survival (PFS1) time with sorafenib was 5.6 months, and the one-year survival rate was 24.3%. The median progression-free survival (PFS2) time with regorafenib, which was administered as second-line treatment, was also calculated as 5.9 months. Overall survival (OS) duration was determined as 35.9 months. The most common side effects associated with both drugs included fatigue, hand and foot syndrome, and hypertension. Significantly better survival outcomes were shown in the Child-Pugh A group compared to other patients. Conclusions: These results suggest that Sorafenib and Regorafenib treatments offer a survival advantage in patients with relapsed HCC post-transplantation. However, individualized treatment strategies and close follow-up are crucial for optimizing outcomes. Further studies are needed to refine therapeutic protocols and enhance the care of this specific patient group.