Academic Journal
Differential immune-cell landscape in tissue and liquid biopsy specimens is associated with recurrence risk across meningioma methylation-subtypes
| العنوان: | Differential immune-cell landscape in tissue and liquid biopsy specimens is associated with recurrence risk across meningioma methylation-subtypes |
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| المؤلفون: | Herrgott, Grayson |
| المصدر: | Neurosurgery Meeting Abstracts |
| بيانات النشر: | Henry Ford Health Scholarly Commons |
| سنة النشر: | 2021 |
| المجموعة: | Henry Ford Health System Scholarly Commons |
| مصطلحات موضوعية: | CD4 antigen, CD8 antigen, endogenous compound, adult, B lymphocyte, cell composition, classifier, cohort analysis, conference abstract, controlled study, deconvolution, DNA methylation, female, human, human cell, human tissue, immunocompetent cell, intermethod comparison, liquid biopsy, male, meningioma, methylome, monocyte, multicenter study, natural killer cell, neutrophil, protein fingerprinting, recurrence free survival, recurrence risk, risk assessment |
| الوصف: | Background. Tumor-infiltrating immune cells can favor or inhibit tumor growth, constituting promising and alternative targets for treatment of patients with meningiomas (MNG), a prevalent primary intracranial tumor with no known therapy beyond surgery and radiation. Immune-cell composition can predict therapy response in other diseases, therefore, profiling immune-cell infiltrates in these tumors is crucial, preferentially by non-invasive approaches. Genome-wide methylation arrays are powerful tools to classify and assess cell composition either in tumor tissue or with liquid biopsy. Objective: We aim to apply methylation-based classifiers to estimate immune-cell composition of tumor tissue and serum specimens to predict recurrence-free survival in patients with MNG. Methods: We conducted unsupervised and supervised analyses of the methylome of a multicenter MNG cohort composed of 326 tissue, 60 serum and 9 control specimens. Immune-cell composition (B-cells, CD4-T & CD8-T cells, neutrophils, natural killer cells, and monocytes) and recurrence risk were estimated using methylation-based classifiers. We used the point-biserial correlation method to analyze associations across categorical clinical and molecular features. Results: We identified four distinct methylation subgroups of MNG (in serum or tissue) that presented a differential immune cell landscape composition. In the tissue, MNG methylation subgroups were mutually exclusive in enrichment or depletion of NK-, cytotoxic T- or monocyte-cell methylation signatures and in the serum, they were enriched of monocyte- and B-cell signatures. Distinct Immune-cell signatures (Monocytes, CD8T and Neutrophils) were correlated with risk of recurrence or grade in MNG tissue and/or liquid biopsy specimens. Conclusion: DNA methylation-based deconvolution allowed for the detection of differential immune-cell composition across MNG methylation-subtypes in tissue that could be detected in liquid biopsy specimens. Distinct immune-cell signatures correlated with MNG ... |
| نوع الوثيقة: | text |
| اللغة: | unknown |
| Relation: | https://scholarlycommons.henryford.com/neurosurgery_mtgabstracts/90; http://sfxhosted.exlibrisgroup.com/hfhs?sid=EMBASE&issn=15387445&id=doi:10.1158%2F1538-7445.AM2021-2086&atitle=Differential+immune-cell+landscape+in+tissue+and+liquid+biopsy+specimens+is+associated+with+recurrence+risk+across+meningioma+methylation-subtypes&stitle=Cancer+Res.&title=Cancer+Research&volume=81&issue=13+SUPPL&spage=&epage=&aulast=Herrgott&aufirst=Grayson+A.&auinit=G.A.&aufull=Herrgott+G.A.&coden=&isbn=&pages=-&date=2021&auinit1=G&auinitm=A |
| الاتاحة: | https://scholarlycommons.henryford.com/neurosurgery_mtgabstracts/90 http://sfxhosted.exlibrisgroup.com/hfhs?sid=EMBASE&issn=15387445&id=doi:10.1158%2F1538-7445.AM2021-2086&atitle=Differential+immune-cell+landscape+in+tissue+and+liquid+biopsy+specimens+is+associated+with+recurrence+risk+across+meningioma+methylation-subtypes&stitle=Cancer+Res.&title=Cancer+Research&volume=81&issue=13+SUPPL&spage=&epage=&aulast=Herrgott&aufirst=Grayson+A.&auinit=G.A.&aufull=Herrgott+G.A.&coden=&isbn=&pages=-&date=2021&auinit1=G&auinitm=A |
| رقم الانضمام: | edsbas.64346319 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |