Abstract 1946: Identification of miRNAs that contribute to melanoma brain metastasis
Bibliographic record
Abstract
Abstract Brain metastasis occurs in a large proportion of metastatic melanoma patients and is associated with a dismal prognosis. However, the molecular mechanisms that govern melanoma tropism to the brain remain poorly understood. MicroRNAs (miRNAs) play essential roles in many physiological and pathological processes, and have been recently shown to exert key roles during cancer metastasis. In this study we find that specific miRNAs may be important mediators of melanoma dissemination to the brain. First, we conducted a miRNA microarray analysis of metastatic melanoma tissues that revealed a subset of miRNAs differentially expressed in brain metastases (n=11) relative to other sites (n=48). A brain-specific signature comprised of seven miRNAs was further validated in an independent cohort of metastatic melanoma samples (n=36; 9 brain metastatic specimens). Then, we analyzed the trend of expression of those miRNAs during tumor progression by comparing their levels in primary tumors and their paired metastasis from patients with or without recurrence in the brain (n=18). Differential expression of some miRNAs was already evident at diagnosis in primary tumors that recurred in the brain, while for others it was acquired in the transition from primary to metastasis, suggesting that it may be a later event in tumor progression. Furthermore, in vitro modulation of specific signature miRNAs significantly altered the ability of melanoma cells to execute processes such as adhesion and transmigration through human brain endothelial cells and proliferation in human astrocytes conditioned media. Additionally, using an in vivo model of melanoma brain metastasis, we confirmed the capacity of specific miRNA alterations to promote melanoma cells’ competence to reach the brain. Finally, the analysis of potential downstream mediators of select miRNAs revealed the involvement of immuno-suppressive molecules, as well as inflammatory and chemotactic mediators in this process. Collectively, our results expand our understanding of the mechanisms that control melanoma brain metastasis, potentially revealing novel therapeutic avenues for patients for whom no viable approaches are currently available. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1946.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".