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Collagen deposition within brain metastases is associated with leptomeningeal failure after cavity-directed radiosurgery.
- Source :
-
Neuro-oncology advances [Neurooncol Adv] 2023 Jan 06; Vol. 5 (1), pp. vdac186. Date of Electronic Publication: 2023 Jan 06 (Print Publication: 2023). - Publication Year :
- 2023
-
Abstract
- Background: Leptomeningeal failure (LMF) represents a devastating progression of disease following resection of brain metastases (BrM). We sought to identify a biomarker at time of BrM resection that predicts for LMF using mass spectrometry-based proteomic analysis of resected BrM and to translate this finding with histochemical assays.<br />Methods: We retrospectively reviewed 39 patients with proteomic data available from resected BrM. We performed an unsupervised analysis with false discovery rate adjustment (FDR) to compare proteomic signature of BrM from patients that developed LMF versus those that did not. Based on proteomic analysis, we applied trichrome stain to a total of 55 patients who specifically underwent resection and adjuvant radiosurgery. We used competing risks regression to assess predictors of LMF.<br />Results: Of 39 patients with proteomic data, FDR revealed type I collagen-alpha-1 (COL1A1, P = .045) was associated with LMF. The degree of trichrome stain in each block correlated with COL1A1 expression ( β = 1.849, P = .001). In a cohort of 55 patients, a higher degree of trichrome staining was associated with an increased hazard of LMF in resected BrM (Hazard Ratio 1.58, 95% CI 1.11-2.26, P = .01).<br />Conclusion: The degree of trichrome staining correlated with COL1A1 and portended a higher risk of LMF in patients with resected brain metastases treated with adjuvant radiosurgery. Collagen deposition and degree of fibrosis may be able to serve as a biomarker for LMF.<br /> (© The Author(s) 2023. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)
Details
- Language :
- English
- ISSN :
- 2632-2498
- Volume :
- 5
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Neuro-oncology advances
- Publication Type :
- Academic Journal
- Accession number :
- 36789023
- Full Text :
- https://doi.org/10.1093/noajnl/vdac186