Publications by authors named "M Bujko"
Gonadotroph neuroendocrine pituitary tumors are among the most common intracranial neoplasms. A notable proportion of these tumors is characterized by invasive growth which hampers the treatment results and worsens prognoses of patients. Increased hsa-miR-184 expression was observed in invasive as compared to non-invasive gonadotroph tumors.
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- * Preoperative imaging to determine glioblastoma margins is crucial for effective tumor removal, as these tumors invade surrounding brain tissue, complicating treatment.
- * Advanced neuroimaging techniques, such as DWI and DTI, help evaluate tumor infiltration, aiming to develop new therapies focusing on the tumor's marginal areas to potentially improve patient outcomes.
Background: Somatotroph neuroendocrine pituitary tumors (sPitNET) are a subtype of pituitary tumors that commonly cause acromegaly. Our study aimed to determine the spectrum of DNA copy number abnormalities (CNAs) in sPitNETs and their relevance.
Methods: A landscape of CNAs in sPitNETs was determined using combined whole-genome approaches involving low-pass whole genome sequencing and SNP microarrays.
Article Synopsis
- - High-grade gliomas are the most prevalent malignant brain tumors in adults and are hard to treat due to their genetic diversity, resulting in different responses to therapies; new targeted and immune treatments are showing promise, highlighting the need for better prediction methods for treatment efficacy.
- - This study analyzed data from 51 patients with confirmed highest-grade glioma who had surgery and received standard treatment, utilizing 109 radiomic features from preoperative MRIs, alongside certain clinical details to create predictive models for progression-free survival.
- - Among several artificial intelligence models tested, the random forest model performed the best in predicting patient outcomes, achieving an impressive accuracy score (1-MAPE) of 92.27% and a C-index of 0.
Glioblastoma (GBM) is the most common and lethal brain tumor in adults. Due to its fast proliferation, diffusive growth and therapy resistance survival times are less than two years for patients with IDH-wildtype GBM. GBM is noted for the considerable cellular heterogeneity, high stemness indices and abundance of the glioma stem-like cells known to support tumor progression, therapeutic resistance and recurrence.
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