Current Approaches and Future Directions for the Treatment of Solid Tumour Brain Metastases
Bibliographic record
Abstract
Brain metastases (BrM) are most common among patients with metastatic lung cancer, breast cancer, and melanoma. Historically, management of BrM consisted of local treatments with surgical resection and/or radiation therapy, with either whole brain radiation therapy (WBRT) or stereotactic radiosurgery (SRS). Current guidelines recommend SRS as the initial therapy for patients who have up to four BrM, but several studies have demonstrated that upfront SRS may be considered for some patients who have more than four BrM given additional clinical benefits of improved memory function and quality of life compared to WBRT. Systemic therapies are increasingly understood to cross the blood-brain barrier (BBB) following disruption of its integrity upon BrM development. Disseminated tumour cells intravasate into the circulation and spread hematogenously with a “seed and soil” tropism for the brain that provides a suitable tumour microenvironment. Tumour cells extravasate and increase the permeability of the BBB by decreasing tight junction protein expression, decreasing astrocyte pedicles, reducing pericyte coverage, and increasing neoangiogenesis. The altered integrity of the BBB allows penetration of large drug molecules, such as antibody-drug conjugates (ADCs), which exert their therapeutic effects on BrM by binding to tumour cell-specific epitopes and releasing a cytotoxic payload, even in the absence of radiation. Other therapeutic mechanisms of action include molecular (passive or receptor-mediated transport), physical (radiation or focused ultrasound), direct delivery to the brain (intrathecal or intratumoral), and cell‑mediated (immune cell extravasation) (Figure 1).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".