Publications by authors named "M O Tarhan"
Background: Breast cancer is a heterogeneous condition with variations in histopathological, genomic, and biological characteristics. Although clinicopathological prognostic factors and gene expression profiles are commonly used to guide treatment decisions in patients with breast cancer, there is still a need for new prognostic markers. One potential marker is survivin, a protein belonging to the apoptosis inhibitor family.
View Article and Find Full Text PDFAim: This study aimed to determine the relationship between attitudes towards professional autonomy and nurse-nurse collaboration among nurses.
Background: Professional autonomy is crucial for nurses in today's complex and ever-changing healthcare environment. Therefore, attitudes towards professional autonomy may result in effective collaboration among nurses, one of the nursing roles and responsibilities.
Article Synopsis
- Tumor dormancy is when cancer cells can hide and become resistant to treatments, making it hard to fully get rid of cancer.
- The study looked at how these dormant cancer cells work using special models of leukemia and melanoma, using lots of different scientific techniques to understand their behavior and find new ways to treat them.
- Researchers found unique gene mutations and changes in proteins in dormant cells, suggesting how they survive and resist therapies, which could help develop better treatments for patients.
Purpose: To characterize fundus autofluorescence (FAF) in complete (cRORA) and incomplete retinal pigment epithelium and outer retinal atrophy (iRORA) by fluorescence lifetime imaging ophthalmology (FLIO).
Methods: Overall, 98 macular atrophy (MA) lesions in 42 eyes of 37 age-related macular degeneration (AMD) patients (mean age: 80.9 ± 5.
Aims: Individuals with a higher De Ritis ratio (aspartate transaminase/alanine transaminase) and neutrophil-to-lymphocyte ratio (NLR) have an inferior survival in varied malignancies. To our knowledge, the prognostic potential of the De Ritis ratio and NLR to predict the survival in nonmetastatic glioblastoma multiforme (GBM) patients remains unclear. In this study, we aimed to explore the prognostic power of the De Ritis ratio and NLR in patients with nonmetastatic glioblastoma multiforme.
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