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Record W4408279887 · doi:10.1101/2025.03.05.641563

An OSMR-CLIC1 cross talk drives key oncogenic pathways in glioblastoma

2025· preprint· en· W4408279887 on OpenAlexafffund
Amir Hossein Mansourabadi, Dianbo Qu, Francesca Cianci, Jamie Snider, Kamaldeep Randhawa, Laura Raco, Max Kotlyar, Guido Rey, Dylan Burger, Janusz Rak, Vahab D. Soleimani, Igor Jurišica, Igor Štagljar, Michele Mazzanti, Arezu Jahani‐Asl

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsMcGill University Health CentreOttawa HospitalDiscovery CentreUniversity of CalgaryMcGill UniversityUniversity of TorontoCanadian Society for the History of MedicineUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsGlioblastomaKey (lock)Signal transductionBusinessChemistryNeuroscienceComputer scienceCell biologyCancer researchBiologyComputer security

Abstract

fetched live from OpenAlex

Abstract Oncostatin M receptor (OSMR) plays diverse and important roles in several human malignancies, including brain, breast, and pancreatic cancer. 1–4 Glioblastoma (GB) is the most malignant genetically diverse brain tumour, with no cure. The most common genetic mutation in GB is a truncated active mutant of epidermal growth factor receptor (EGFR), the EGFRvIII. OSMR orchestrates a feedforward signaling mechanism with EGFRvIII and the signal transducer and activator of transcription 3 (STAT3), to drive GB progression. 4 Beyond EGFRvIII, OSMR promotes brain tumour stem cells (BTSCs) via upregulation of mitochondrial oxidative phosphorylation and contributes to therapy resistance. 5 The molecular mechanisms underlying the multifaceted roles of OSMR in different contexts are largely unclear. Here, we systematically mapped the OSMR interactome using Mammalian Membrane Two-Hybrid High-Throughput Screening (MaMTH-HTS). This unbiased approach led to the identification of OSMR-specific and OSMR/EGFRvIII-specific binding proteins, revealing context-dependent OSMR functions. Among a subset of common interactors, we uncovered chloride intracellular channel 1 (CLIC1) as a critical regulator of both OSMR-STAT3 signaling and the OSMR/EGFRvIII complex in GB. CLIC1 physically associates with both OSMR and EGFRvIII and plays a key role in EGFRvIII packaging into extracellular vesicles (EVs). Genetic deletion of CLIC1 disrupts the OSMR/EGFRvIII interaction, impairs STAT3 activation, reduces EGFRvIII EV content, and slows GB progression. Using whole-cell patch-clamp recordings and a monoclonal antibody that selectively targets transmembrane CLIC1 (tmCLIC1omab), we establish a distinct pharmacologically and biophysically tmCLIC-mediated current in GB indispensable for sustaining EGFRvIII/STAT3 signaling. Importantly, we show that OSMR is required for maintaining CLIC1-mediated ionic balance at the plasma membrane (PM). Our study uncovers a bidirectional crosstalk between OSMR and tmCLIC1 in GB, essential for fueling its malignant growth, and suggest that disrupting the OSMR/tmCLIC1 interaction provides a promising therapeutic avenue for GB treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.236
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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