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Multi-Omics Analysis of Brain Metastasis Outcomes Following Craniotomy.

Authors :
Su J
Song Q
Qasem S
O'Neill S
Lee J
Furdui CM
Pasche B
Metheny-Barlow L
Masters AH
Lo HW
Xing F
Watabe K
Miller LD
Tatter SB
Laxton AW
Whitlow CT
Chan MD
Soike MH
Ruiz J
Source :
Frontiers in oncology [Front Oncol] 2021 Apr 06; Vol. 10, pp. 615472. Date of Electronic Publication: 2021 Apr 06 (Print Publication: 2020).
Publication Year :
2021

Abstract

Background: The incidence of brain metastasis continues to increase as therapeutic strategies have improved for a number of solid tumors. The presence of brain metastasis is associated with worse prognosis but it is unclear if distinctive biomarkers can separate patients at risk for CNS related death.<br />Methods: We executed a single institution retrospective collection of brain metastasis from patients who were diagnosed with lung, breast, and other primary tumors. The brain metastatic samples were sent for RNA sequencing, proteomic and metabolomic analysis of brain metastasis. The primary outcome was distant brain failure after definitive therapies that included craniotomy resection and radiation to surgical bed. Novel prognostic subtypes were discovered using transcriptomic data and sparse non-negative matrix factorization.<br />Results: We discovered two molecular subtypes showing statistically significant differential prognosis irrespective of tumor subtype. The median survival time of the good and the poor prognostic subtypes were 7.89 and 42.27 months, respectively. Further integrated characterization and analysis of these two distinctive prognostic subtypes using transcriptomic, proteomic, and metabolomic molecular profiles of patients identified key pathways and metabolites. The analysis suggested that immune microenvironment landscape as well as proliferation and migration signaling pathways may be responsible to the observed survival difference.<br />Conclusion: A multi-omics approach to characterization of brain metastasis provides an opportunity to identify clinically impactful biomarkers and associated prognostic subtypes and generate provocative integrative understanding of disease.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Su, Song, Qasem, O’Neill, Lee, Furdui, Pasche, Metheny-Barlow, Masters, Lo, Xing, Watabe, Miller, Tatter, Laxton, Whitlow, Chan, Soike and Ruiz.)

Details

Language :
English
ISSN :
2234-943X
Volume :
10
Database :
MEDLINE
Journal :
Frontiers in oncology
Publication Type :
Academic Journal
Accession number :
33889540
Full Text :
https://doi.org/10.3389/fonc.2020.615472