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CD138 plasma cells may predict brain metastasis recurrence following resection and stereotactic radiosurgery
- Source :
- Scientific Reports, Scientific Reports, Vol 9, Iss 1, Pp 1-7 (2019)
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- We sought to identify candidate biomarkers for early brain metastasis (BM) recurrence in patients who underwent craniotomy followed by adjuvant stereotactic radiosurgery. RNA sequencing was performed on eight resected brain metastasis tissue samples and revealed B-cell related genes to be highly expressed in patients who did not experience a distant brain failure and had prolonged overall survival. To translate the findings from RNA sequencing data, we performed immunohistochemistry to stain for B and T cell markers from formalin-fixed parffin-embedded tissue blocks on 13 patients. CD138 expressing plasma cells were identified and quantitatively assessed for each tumor sample. Patients’ tumor tissues that expressed high levels of CD138 plasma cells (N = 4) had a statistically significant improvement in OS compared to low levels of CD138 (N = 9) (p = 0.01). Although these findings are preliminary, the significance of CD138 expressing plasma cells within BM specimens should be investigated in a larger cohort. Immunologic markers based on resection cavity analysis could be predictive for determining patient outcomes following cavity-directed SRS.
- Subjects :
- Adult
Male
Pathology
medicine.medical_specialty
medicine.medical_treatment
T cell
Plasma Cells
lcsh:Medicine
Radiosurgery
Stain
Article
Metastasis
03 medical and health sciences
0302 clinical medicine
Text mining
Recurrence
medicine
Humans
lcsh:Science
Craniotomy
Cancer
030304 developmental biology
0303 health sciences
Multidisciplinary
Brain Neoplasms
business.industry
lcsh:R
Middle Aged
medicine.disease
3. Good health
medicine.anatomical_structure
030220 oncology & carcinogenesis
Immunohistochemistry
lcsh:Q
Female
Syndecan-1
business
Adjuvant
Brain metastasis
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....05e806e0686edc2e35ef50998ba27c54