Resumen: Existe un creciente problema de vivienda a nivel mundial. La crisis se está agravando cada día con incidentes como la guerra y las pandemias, lo que ha resultado en que algunos grupos busquen escenarios de vida alternativos. Por lo tanto, ampliar la investigación relacionada con la vivienda y responder a estas necesidades se vuelve obligatorio. Los motores de juegos y la generación procedural se han utilizado para representar rápidamente soluciones con sus renderizaciones de alta calidad para estos tipos de situaciones. Este artículo tiene como objetivo presentar una herramienta de generación de asentamientos de contenedores fácil de usar mediante la generación procedural, desarrollada usando el motor de juegos Unity 3D, centrándose en varios escenarios de la vida real basados en parámetros contextuales y financieros. Junto con el desarrollo y las funcionalidades de la herramienta, el artículo también presenta un estudio de caso con presets de escenario ecológico y postdesastre en las regiones turcas de Mármara y Mediterráneo para demostrar su aplicabilidad en el proceso de generación de asentamientos.

Abstract: There is a growing dwelling problem on a global scale. The crisis is getting more severe each day with incidents like war and pandemics, which resulted in some groups seeking alternative life scenarios. Therefore, expanding the research related to housing and answering these needs become obligatory. Game engines and procedural generation have been used to rapidly represent solutions with their high-quality renderings for these kinds of situations. This paper aims to present a user-friendly container settlement generation tool using procedural generation, developed using the Unity 3D game engine, focusing on various real-life scenarios based on contextual and financial parameters. Along with the tool's development and functionalities, the paper presents a case study with ecological and post-disaster scenario presets in the Marmara and Mediterranean Regions of Türkiye to demonstrate its applicability in the settlement generation process.

SUMMARY OBJECTIVE: Glucose transporter-1 is a marker involved in energy transport in cancer cells. It has been shown to be a poor prognostic factor in many cancer types, including breast cancer. However, there is no satisfactory parameter predicting treatment in breast cancer patients receiving neoadjuvant therapy. This study investigated the effect of glucose transporter-1 in predicting the treatment response of patients receiving neoadjuvant therapy. METHODS: In this study, glucose transporter-1 immunohistochemistry was applied to tru-cut biopsy of patients who were diagnosed with breast cancer and received neoadjuvant therapy between 2010 and 2021. A built-in scoring system was used to evaluate both the pattern and intensity of glucose transporter-1 immunohistochemistry staining. The relationship between glucose transporter-1 immunohistochemistry staining and other clinicopathological parameters was examined. In addition, the relationship of glucose transporter-1 with response to treatment was investigated. RESULTS: A relationship was found between high glucose transporter-1 expression and other clinicopathological parameters (such as estrogen and progesterone receptor negativity, high Ki-67, triple-negative, and Her2 status). Cases with high glucose transporter-1 expression had either a complete or a partial pathologic response. The result was statistically significant. CONCLUSION: Glucose transporter-1 has the potential to be a biomarker that can be evaluated more objectively as an alternative to Ki-67 labeling index in evaluating the response to treatment in patients receiving neoadjuvant therapy.

SUMMARY OBJECTIVE: The stroma surrounding the tumor cells is important in tumor progression and treatment resistance, besides the properties of tumor cells. Studies on the tumor stroma characteristics will contribute to the knowledge for new treatment approaches. METHODS: A total of 363 breast cancer patients were evaluated for the tumor–stroma ratio. The percentage of stroma was visually assessed on hematoxylin–eosin stained slides. The cases of tumor–stroma ratio more than 50% were categorized as tumor–stroma ratio high, and those less than 50% and below were categorized as tumor–stroma ratio low. RESULTS: Tumor–stroma ratio-high tumors had shorter overall survival (p=0.002). Disease-free survival tended to be shorter in tumor–stroma ratio-high tumors (p=0.082) compared with tumor–stroma ratio-low tumors. Tumor–stroma ratio was an independent prognostic parameter for the total group of patients (p=0.003) and also axillary lymph node metastasis and tumor–stroma ratio was statistically associated (p=0.004). Also, tumor–stroma ratio was an independent prognostic parameter in node-positive Luminal A and B subgroups for overall survival (p<0.001). CONCLUSION: Tumor–stroma ratio is an independent prognostic parameter that can be evaluated quite easily in all molecular subtypes of all breast cancers and does not require extra cost and time to evaluate.