Brain tumors

Clinical / Scientific

CNS neoplasms range from meningioma to glioma/GBM and medulloblastoma. Shared constraints include blood–brain barrier, unique immune milieu and metabolic use of acetate/glutamine. Maps must be histology-specific.

Molecular / histological subtypes

Core Biological Drivers

Lineage-specific oncogenes

Histology-defined.

BBB and myeloid CNS immunity

Shared constraints.

Key Pathways

PI3K/AKT

Scientific explanation

phosphorylates PIP2 to PIP3, recruiting . supports growth, survival, glucose uptake and mTORC1 input. Pathway activation is common via PIK3CA mutation, PTEN loss or -tyrosine- signalling.

p53

Scientific explanation

TP53 encodes a stress-responsive factor controlling cell-cycle arrest, and metabolic adaptation. Loss or mutation is among the most common cancer events.

VEGF

Scientific explanation

family ligands drive endothelial sprouting and vascular permeability, a canonical tumour axis.

Glycolysis

Scientific explanation

Aerobic (Warburg metabolism) supports ATP, biomass and redox buffering even when oxygen is available. Hexokinase, PKM2 and lactate export are frequent nodes.

Glutaminolysis

Scientific explanation

Glutamine supplies nitrogen and anaplerotic carbon via glutaminase and glutamate dehydrogenase, supporting nucleotide synthesis and TCA replenishment in MYC-driven and other tumours.

Pathway Convergence

Target → pathway → downstream effect → biological consequence. Shared intersections are mechanistic maps, not protocols.

Hypoxia to vessels

Low oxygen stabilizes HIF-1α, inducing VEGF and endothelial sprouting. Anti-angiogenic pharmacology intersects this axis but does not erase the tumour ecosystem.

Hypoxia
↓
HIF-1α
↓
VEGF
↓
Angiogenesis

Growth-factor signalling

Ligand or mutation-driven RTK input feeds PI3K/AKT and mTORC1, supporting anabolic growth. This is a map of signalling, not a treatment protocol.

Receptor tyrosine kinase
↓
PI3K/AKT
↓
mTOR
↓
Protein synthesis / growth

Metabolic Vulnerabilities

Aerobic supports ATP, biomass and acidification even when oxygen is available. Extent varies by tumour and remains a vulnerability hypothesis rather than a uniform target.

Glutamine anaplerosis and nucleotide nitrogen demand are prominent in MYC-high and rapidly proliferating tumours. Dependence is heterogeneous.

Tumor Microenvironment

Disordered vasculature creates , HIF-1α stabilization, induction and immune-suppressive adenosine/lactate milieus.

Metastasis Module

Primary CNS tumours rarely leave the neuraxis; brain metastases from systemic cancers are a different problem.

Resistance Biology

Resistance can arise from drug efflux, secondary mutations, bypass RTK signalling, apoptotic threshold elevation, -mediated survival, metabolic adaptation and lineage plasticity.

Cancer Stemness

Wnt, Notch, Hedgehog, ALDH and CD44-associated programmes can mark stem-like fractions with quiescence and therapy tolerance. These markers are not interchangeable across tumour types.

Mechanism-Based Adjunctive Strategies

Compounds appear only where a mechanistic overlap exists for this cancer. Evidence tiers are not equivalent. Nothing here is a treatment recommendation.

Mebendazole

In VitroIn VivoMechanistically Plausible

Target / Mechanism

Benzimidazole that binds β-. Mammalian disruption, mitotic arrest and related signalling in cancer models are preclinical and are not an approved anticancer use.

Cancer relevance

disruption can trigger mitotic stress and in cell and animal models. This is not an established oncology use.

Experimental antimitotic / microtubule stress. Convergence: Apoptosis, p53.

Metformin

Clinical / Human EvidenceIn VivoIn VitroMechanistically Plausible

Target / Mechanism

Modest complex I inhibition raises AMP:ATP, activating and restraining hepatic and -linked anabolism. Direct antineoplastic efficacy is not established from that pharmacology alone.

Cancer relevance

activation and restraint provide a metabolic rationale in - and -linked tumours. Human data are mixed and do not establish metformin as cancer therapy.

Metabolic adjunctive research context. Convergence: AMPK, mTOR, Glycolysis.

Research Context

  1. GBM TCGA. Brennan CW, et al. The somatic genomic landscape of glioblastoma. Cell. 2013;155(2):462-477. https://doi.org/10.1016/j.cell.2013.09.034
  2. Hallmarks. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-674. https://doi.org/10.1016/j.cell.2011.02.013

This oncology atlas is educational. Pathway maps, adjunctive strategies, and compound listings describe mechanistic relevance. They do not establish clinical efficacy, do not recommend treatment, and are not a substitute for oncology care. Evidence tiers are not equivalent.