MétaCan
Menu
Back to cohort
Record W2319966082 · doi:10.4161/cbt.11.1.14498

Microvilli expressed on glioma cells keep cytotoxic cells at a distance

2011· letter· en· W2319966082 on OpenAlexaff
Fatma Zaguia, Raphaël Schneider

Bibliographic record

VenueCancer Biology & Therapy · 2011
Typeletter
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsMcGill UniversityUniversité de MontréalHôpital Notre-DameMontreal Neurological Institute and Hospital
FundersMultiple Sclerosis Society
KeywordsCytotoxic T cellGliomaEffectorImmune systemCancer researchAntigenParenchymaBiologyImmunologyBrain tumorCancer cellCancerMedicinePathologyIn vitro

Abstract

fetched live from OpenAlex

Glioblastoma multiforme (GBM), the most frequent primary brain tumor in adults, carries a particularly poor prognosis despite aggressive treatment approaches. A possible explanation for treatment failure resides in the capacity of glioma cells to infiltrate the brain parenchyma and therefore escape surgical removal and radiation exposure. One of the most promising novel strategies in glioma therapy is to use the patient's immune system to attack the tumor. Cytotoxic effector cells are crucial components of the immune system to fight cancers; genetically modified cytotoxic T cells that recognize tumor antigens can destroy cancer cells. Glioma cells, on the other hand, use several strategies to escape this immunological attack. In a recent study, Hoa and colleagues reported that cell surface expression of microvilli protects gliomas from being killed by cytotoxic effector cells.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.024
GPT teacher head0.254
Teacher spread0.230 · 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 designObservational
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

Citations25
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCancer Biology & TherapySame topicImmune cells in cancerFrench-language works237,207