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Record W4416928116 · doi:10.1016/j.trecan.2025.11.007

The evolving landscape of brain metastasis: volume II

2025· article· en· W4416928116 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTrends in cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsMcGill University
FundersAgencia Estatal de InvestigaciónBreast Cancer Research FoundationEuropean Regional Development FundInstituto de Salud Carlos IIINextGenerationEUCanadian Institutes of Health ResearchSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Institutes of HealthMinisterio de Ciencia e InnovaciónEngineering Research CentersFundación Científica Asociación Española Contra el CáncerUniversité de LausanneLudwig Institute for Cancer Research
KeywordsClinical trialCentral nervous systemPrecision medicineBrain metastasisCancerTherapeutic approachKey (lock)Metastasis

Abstract

fetched live from OpenAlex

Brain metastasis (BrM) represents the most common intracranial malignancy, arising in up to 30% of all adult cancer patients and contributing significantly to cancer-related morbidity and mortality. BrM is now recognized as a biologically distinct condition with unique mechanisms of organotropism, colonization, and therapeutic vulnerability. We highlight recent progress in omic and spatial profiling, which has revealed key drivers of brain tropism. These findings have reshaped therapeutic strategies, leading to clinical trials that specifically address central nervous system (CNS) involvement. Emerging approaches now include efforts to prevent brain relapse. Preclinical models increasingly provide sophisticated platforms to evaluate next-generation therapies. Collectively, these advances are transforming the clinical landscape, offering new hope for the prevention and management of BrM through precision medicine and integrated therapeutic strategies.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.351
Teacher spread0.327 · 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