P-Glycoprotein Drives Glioblastoma Survival and Chemotherapy Resistance: Potential as a Promising Liquid Biopsy Biomarker.

Drug resistance is a major challenge in cancer therapy, and the expression of efflux pumps such as P-glycoprotein (P-gp, ABCB1) often correlates with poor prognosis in various tumors, including glioblastoma (GB). Considering that different roles for these proteins have been established in the biology of various tumors, this study aimed to investigate the functions of P-gp in GB-derived cells by evaluating its survival, migratory, and apoptosis-regulating capabilities, as well as its potential as a liquid biopsy biomarker. P-gp expression was diminished via siRNA to determine its exact role in GB biology.

Using digital PCR to investigate the prevalence of KRAS variants in pituitary tumours.

Pituitary tumours (PT) are formed in the pituitary gland, a small gland situated at the base of the brain. These tumours can be categorized according to their histological origin and hormone production. In surgical series, non-functioning PT are the commonest subtype, followed by functioning somatotroph and corticotroph tumours.

In Vitro Evaluation of New 5-Nitroindazolin-3-one Derivatives as Promising Agents against .

Chagas disease is a prevalent health problem in Latin America which has received insufficient attention worldwide. Current treatments for this disease, benznidazole and nifurtimox, have limited efficacy and may cause side effects. A recent study proposed investigating a wide range of nitroindazole and indazolone derivatives as feasible treatments.

The potential of circulating cell-free RNA in CNS tumor diagnosis and monitoring: A liquid biopsy approach.

Early detection of malignancies, through regular cancer screening, has already proven to have potential to increase survival rates. Yet current screening methods rely on invasive, expensive tissue sampling that has hampered widespread use. Liquid biopsy is noninvasive and represents a potential approach to precision oncology, based on molecular profiling of body fluids.

Artificial Intelligence and cancer: Profile of registered clinical trials.

Artificial Intelligence (AI) has made significant strides due to advancements in processing algorithms and data availability. Recent years have shown a resurgence in AI, driven by breakthroughs in deep machine learning. AI has attracted particular interest in the medical sector, especially in the field of personalized medicine, which for example uses large-scale genomic and molecular data to predict individual patient treatment responses.