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Research group guide
Michelle Monje Lab
Michelle MonjeResearch at the intersection of neurodevelopment, glioma biology, neural activity, tumor microenvironment signaling, cancer neuroscience, and mechanism-guided therapies.
Official research website ↗This independent educational primer introduces scientific concepts relevant to research themes in the Michelle Monje Lab at Stanford University. It is not an official Stanford University or Michelle Monje Lab course and does not imply endorsement or affiliation.
Questions behind the work
Research questions
02
How do developing neural and glial programs become hijacked by malignant cells?
03
Can glioma cells integrate functionally into neural circuits?
04
How do different neurotransmitter systems regulate brain tumors?
05
Can neural-circuit mechanisms reveal therapeutic vulnerabilities?
Your recommended path
Learn this research
Research primer
Cancer as a Neural Circuit Disease
9 lessons · ~50 minutes
An independent primer on cancer evolution, Hallmarks of Cancer, the tumor microenvironment, pediatric glioma, neuron-to-cancer signaling, and emerging therapeutic strategies.
- 01What is cancer?
- 02The Hallmarks of Cancer, Part I: how tumors learn to grow
- 03The Hallmarks of Cancer, Part II: adaptation, invasion, and evolution
- 04The tumor microenvironment: a tumor is an ecosystem
- 05Diffuse midline glioma: when development and cancer intersect
- 06How do you study communication between neurons and cancer cells?
- 07Neuronal activity feeds glioma growth
- 08Cancer cells join neural circuits
- 09From cancer neuroscience to new therapies
Key concepts
Activity-dependent glioma growth and NLGN3
Interpret activity-dependent growth and conditional NLGN3 dependence.
Cancer as clonal evolution
Explain tumor change through clonal variation and selection.
Cancer-neuroscience translation and treatment-related neural effects
Evaluate preclinical findings, retrospective associations, and neural treatment effects.
Correlation, perturbation, and causal mechanism
Combine controlled perturbations and recordings to strengthen causal claims.
Diffuse midline glioma and developmental cell-state biology
Relate diffuse midline glioma to developmental cell states.
Enabling/emerging characteristics in modern Hallmarks taxonomy
Keep enabling characteristics and proposed new dimensions distinct from core capabilities.
Experimental methods for cancer neuroscience
Match experimental methods to structure, activity, and cell-state questions.
Functional neuron-to-glioma synapses
Separate functional synaptic evidence from cell identity.
Glutamatergic, GABAergic, cholinergic, and electrical tumor signaling
Distinguish transmitter mechanisms and tumor-specific electrical responses.
H3K27 alteration, anatomy, and treatment difficulty
Distinguish H3K27-altered midline tumors and the pontine DIPG clinical label.
Hallmark capabilities governing proliferation and survival
Distinguish hallmark capabilities from individual genes.
Immune, stromal, vascular, neural, and extracellular components
Distinguish general carcinoma stroma from the brain tumor microenvironment.
Invasion, metabolism, immune evasion, and plasticity
Relate invasion, metabolic change, immune escape, and plasticity to cancer behavior.
Mechanism-guided therapy and GD2 CAR T
Distinguish early GD2 CAR T activity from established clinical efficacy.
NLGN3-CSPG4/mechanotransduction and developmental-state hijacking
Explain NLGN3-CSPG4 mechanotransduction within tested models.
Oncogenes, tumor suppressors, and tumor heterogeneity
Distinguish oncogenes, tumor suppressors, and heterogeneous cell states.
Replicative immortality and tumor vascularization
Explain telomere maintenance and inducing or accessing blood vessels.
Tumor microenvironment as an ecosystem
Describe a tumor as interacting malignant and nonmalignant populations.
Important papers
Cell · 2015
Neuronal activity promotes glioma growth through neuroligin-3 secretion
Venkatesh HS, Johung TB, Caretti V, et al., Monje M
Why this matters: Links controlled neuronal activity and secreted growth factors in mouse glioma models.
DOI: 10.1016/j.cell.2015.04.012
Nature · 2017
Targeting neuronal activity-regulated neuroligin-3 dependency in high-grade glioma
Venkatesh HS, Tam LT, Woo PJ, et al., Monje M
Why this matters: Tests NLGN3 dependency and shedding, with escape and model scope relevant.
DOI: 10.1038/nature24014
Nature · 2019
Electrical and synaptic integration of glioma into neural circuits
Venkatesh HS, Morishita W, Geraghty AC, et al., Monje M
Why this matters: Combines synaptic structure and functional electrical recordings in subsets of tumor cells.
DOI: 10.1038/s41586-019-1563-y
Nature · 2023
Glioma synapses recruit mechanisms of adaptive plasticity
Taylor KR, Barron T, Hui A, et al., Monje M
Why this matters: Shows preclinical recruitment of BDNF-TrkB and receptor-trafficking mechanisms.
DOI: 10.1038/s41586-023-06678-1
Nature · 2025
GABAergic neuron-to-glioma synapses in diffuse midline gliomas
Barron T, Yalçın B, Su M, et al., Kaila K, Monje M
Why this matters: Shows that chloride regulation can make GABA depolarizing in DMG models.
DOI: 10.1038/s41586-024-08579-3
Cell · 2025
Cholinergic neuronal activity promotes diffuse midline glioma growth through muscarinic signaling
Drexler R, Drinnenberg A, Gavish A, et al., Deisseroth K, Monje M
Why this matters: Supports muscarinic growth signaling; published abstract and preprint details were checked, not proof of cholinergic synapses.
DOI: 10.1016/j.cell.2025.05.031
Nat Neurosci · 2026
Neuroligin-3–CSPG4 interaction maintains oligodendrocyte precursor cell progenitor state and promotes glioma proliferation through mechanotransduction
Kim YS, Gillespie SM, Geraghty AC, et al., Trotter J, Monje M
Why this matters: Connects binding, membrane tension, and electrical/growth responses while implicating normal OPC biology.
DOI: 10.1038/s41593-026-02397-8
Nat Med · 2026
Levetiracetam therapeutically targets GABAergic synapses in diffuse midline glioma
Barron T, Drexler R, Mochizuki A, et al., Koschmann C, Monje M
Why this matters: Combines preclinical benefits and retrospective associations; prospective clinical efficacy remains to be tested.
DOI: 10.1038/s41591-026-04646-6
Cancer Cell · 2023
Cancer hallmarks intersect with neuroscience in the tumor microenvironment
Hanahan D, Monje M
Why this matters: A perspective placing neural components in the tumor ecosystem, not declaring a new official hallmark.
DOI: 10.1016/j.ccell.2023.02.012
Cell · 2023
Cancer neuroscience: State of the field, emerging directions
Winkler F, Venkatesh HS, Amit M, et al
Why this matters: Reviews diverse mechanisms and translational questions without flattening tumor contexts.
DOI: 10.1016/j.cell.2023.02.002
Science · 2018
Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq
Filbin MG, Tirosh I, Hovestadt V, et al
Why this matters: Characterizes developmental cell states without proving a universal cell of origin.
DOI: 10.1126/science.aao4750
Nature · 2025
Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas
Monje M, Mahdi J, Majzner R, et al., Mackall C
Why this matters: Reports small phase-one clinical activity and serious toxicity; not established cure or comparative efficacy.
DOI: 10.1038/s41586-024-08171-9
Nat Med · 2018
Potent antitumor efficacy of anti-GD2 CAR T cells in H3-K27M+ diffuse midline gliomas
Mount CW, Majzner RG, Sundaresh S, et al., Mackall CL, Monje M
Why this matters: Provides preclinical rationale, with animal effects separate from clinical outcomes.
DOI: 10.1038/s41591-018-0006-x
Cell · 2019
Methotrexate chemotherapy induces persistent tri-glial dysregulation that underlies chemotherapy-related cognitive impairment
Gibson EM, Nagaraja S, Ocampo A, et al., Monje M
Why this matters: Studies treatment-related glial effects in a preclinical setting.
DOI: 10.1016/j.cell.2018.10.049
Cell · 2025
Immunotherapy-related cognitive impairment after CAR T cell therapy in mice
Geraghty AC, Acosta-Alvarez L, Rotiroti MC, et al., Monje M
Why this matters: Examines mouse neural effects; this is not evidence of human cognitive rescue.
DOI: 10.1016/j.cell.2025.03.041
Cancer Discov · 2022
Hallmarks of Cancer: New Dimensions
Hanahan D
Why this matters: Distinguishes eight core capabilities from proposed plasticity and other new dimensions in the 2022 framework.
DOI: 10.1158/2159-8290.CD-21-1059
Independent project ideas inspired by this research
Projects you could do
Educational ideas using public or synthetic data. These projects are not offered or supervised by the lab or research group.
Intermediate
Analyze public glioma single-cell states
Computational simulation or public-data/literature analysis
Compare OPC-like and other expression programs in a public dataset without inferring universal origins.
- Background
- Complete the relevant primer lessons, Basic Python and data-analysis skills
- Data
- {"Public data accompanying Filbin 2018; no private patient records."}
- Output
- A cell-state analysis with donor-aware validation and limitations.
Independent learning idea, not offered or supervised by the lab. Use public de-identified data or synthetic simulations only; no animal, human, or wet-lab intervention protocols and no clinical recommendations.
Intermediate
Map hallmark capabilities to glioma expression signatures
Computational simulation or public-data/literature analysis
Build a version-labeled literature and expression map distinguishing core, enabling, and proposed dimensions.
- Background
- Complete the relevant primer lessons, Basic Python and data-analysis skills
- Data
- {"Hanahan 2022 framework and public glioma transcriptomic datasets."}
- Output
- A taxonomy matrix and expression analysis that does not treat RNA as functional proof.
Independent learning idea, not offered or supervised by the lab. Use public de-identified data or synthetic simulations only; no animal, human, or wet-lab intervention protocols and no clinical recommendations.
Intermediate
Model neuron-to-glioma excitatory signaling
Computational simulation or public-data/literature analysis
Use a toy receptor-current model to compare transient synaptic and slower depolarizing inputs.
- Background
- Complete the relevant primer lessons, Basic Python and data-analysis skills
- Data
- {"Venkatesh 2019 and Taylor 2023 source documentation; synthetic signals."}
- Output
- Parameter-sensitivity simulations with explicit nonclinical scope.
Independent learning idea, not offered or supervised by the lab. Use public de-identified data or synthetic simulations only; no animal, human, or wet-lab intervention protocols and no clinical recommendations.
Intermediate
Compare glutamatergic and GABAergic tumor signaling
Computational simulation or public-data/literature analysis
Use literature and a chloride-gradient toy model to explain cell-dependent current direction.
- Background
- Complete the relevant primer lessons, Basic Python and data-analysis skills
- Data
- {"Venkatesh 2019 and Barron 2025 papers; synthetic ion gradients."}
- Output
- A mechanistic comparison of evidence, current direction, and tumor context.
Independent learning idea, not offered or supervised by the lab. Use public de-identified data or synthetic simulations only; no animal, human, or wet-lab intervention protocols and no clinical recommendations.
Intermediate
Analyze public tumor-microenvironment cell types
Computational simulation or public-data/literature analysis
Compare annotated public tumor datasets while separating neural, immune, vascular, and stromal states.
- Background
- Complete the relevant primer lessons, Basic Python and data-analysis skills
- Data
- {"Public single-cell datasets and the approved m1-4 source map."}
- Output
- A cell-composition report distinguishing brain tumors from general carcinomas.
Independent learning idea, not offered or supervised by the lab. Use public de-identified data or synthetic simulations only; no animal, human, or wet-lab intervention protocols and no clinical recommendations.
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