Targeting Mitochondria in Glioma: New Hopes for a Cure.

Drugs targeting mitochondrial energy metabolism are emerging as promising antitumor therapeutics. Glioma treatment is extremely challenging due to the high complexity of the tumor and the high cellular heterogeneity. From a metabolic perspective, glioma cancer cells can be classified into the oxidative metabolic phenotype (mainly depending on mitochondrial respiration for energy production) and glycolytic phenotype or "Warburg effect" (mainly depending on glycolysis).

Orbital and suborbital temperature variability in the central Mediterranean across the Pliocene/Pleistocene transition.

A high-resolution record of central Mediterranean Sea Surface Temperatures (SSTs) based on the alkenone UK'37 index and planktic δ18O values for the surface-dweller G. ruber has been reconstructed across the Pliocene/Pleistocene transition at Monte San Nicola (Sicily), reference area for the GSSP (Global Boundary Stratotype Section and Point) of the Gelasian Stage. Spectral analyses indicate that the SST record is predominantly paced by a cyclicity in the ~47 kyr time domain, consistent with the obliquity driven glacial-interglacial variability that is expected to dominate in the interval of relevance.

Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study.

Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.

Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).

Signaling pathways and bone marrow microenvironment in myelodysplastic neoplasms.

Key signaling pathways within the Bone Marrow Microenvironment (BMM), such as Notch, Phosphoinositide-Specific Phospholipase C (PI-PLCs), Transforming Growth Factor β (TGF-β), and Nuclear Factor Kappa B (NF-κB), play a vital role in the progression of Myelodysplastic Neoplasms (MDS). Among the various BMM cell types, Mesenchymal Stromal Cells (MSCs) are particularly central to these pathways. While these signaling routes can independently affect both MSCs and Hematopoietic Stem Cells (HSCs), they most importantly alter the dynamics of their interactions, leading to abnormal changes in survival, differentiation, and quiescence.