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Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis
PURPOSE: Resection of high-grade gliomas has been considerably improved by 5-aminolevulinic acid (5-ALA). However, not all neurobiological properties of 5-ALA are fully understood. Specifically, potential differences in immune infiltration have not been conclusively examined, despite recent reports...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462498/ https://www.ncbi.nlm.nih.gov/pubmed/37543970 http://dx.doi.org/10.1007/s11060-023-04406-3 |
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author | Lang, Alexandra Jeron, Raphael L. Lontzek, Bastian Kiesel, Barbara Mischkulnig, Mario Berghoff, Anna S. Ricken, Gerda Wöhrer, Adelheid Rössler, Karl Lötsch-Gojo, Daniela Roetzer-Pejrimovsky, Thomas Berger, Walter Hainfellner, Johannes A. Höftberger, Romana Widhalm, Georg Erhart, Friedrich |
author_facet | Lang, Alexandra Jeron, Raphael L. Lontzek, Bastian Kiesel, Barbara Mischkulnig, Mario Berghoff, Anna S. Ricken, Gerda Wöhrer, Adelheid Rössler, Karl Lötsch-Gojo, Daniela Roetzer-Pejrimovsky, Thomas Berger, Walter Hainfellner, Johannes A. Höftberger, Romana Widhalm, Georg Erhart, Friedrich |
author_sort | Lang, Alexandra |
collection | PubMed |
description | PURPOSE: Resection of high-grade gliomas has been considerably improved by 5-aminolevulinic acid (5-ALA). However, not all neurobiological properties of 5-ALA are fully understood. Specifically, potential differences in immune infiltration have not been conclusively examined, despite recent reports that immune cells might play a role. Thus, we here provide a systematic mapping of immune infiltration of different 5-ALA fluorescence levels. METHODS: Tumor-associated macrophages (CD68, CD163), cytotoxic T cells (CD8), and regulatory T cells (FoxP3) were quantified via three methods. First, data from The Cancer Genome Atlas (TCGA) of 172 patients was examined for correlations between 5-ALA fluorescence-related mRNA expression signatures and immune markers. Second, as classical histology, 508 stained slides from 39 high-grade glioma patients were analysed semi-quantitatively by two independent reviewers, generating 1016 data points. Third, digital image analysis was performed with automated scanning and algorithm-based cell quantification. RESULTS: TCGA mRNA data from 172 patients showed a direct, significant correlation between 5-ALA signatures and immune markers (p < 0.001). However, we were not able to confirm this finding in the here studied initial set of 39 patient histologies where we found a comparable immune infiltration in different fluorescence levels. Digital image analysis correlated excellently with standard histology. CONCLUSION: With mapping the immune infiltration pattern of different 5-ALA categories, we are adding fundamental basic insights to the field of 5-ALA and glioma biology. The observation that a significant correlation in TCGA data did not fully translate to detectable differences in immune infiltration in first histology data warrants further investigation in larger cohorts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04406-3. |
format | Online Article Text |
id | pubmed-10462498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104624982023-08-30 Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis Lang, Alexandra Jeron, Raphael L. Lontzek, Bastian Kiesel, Barbara Mischkulnig, Mario Berghoff, Anna S. Ricken, Gerda Wöhrer, Adelheid Rössler, Karl Lötsch-Gojo, Daniela Roetzer-Pejrimovsky, Thomas Berger, Walter Hainfellner, Johannes A. Höftberger, Romana Widhalm, Georg Erhart, Friedrich J Neurooncol Research PURPOSE: Resection of high-grade gliomas has been considerably improved by 5-aminolevulinic acid (5-ALA). However, not all neurobiological properties of 5-ALA are fully understood. Specifically, potential differences in immune infiltration have not been conclusively examined, despite recent reports that immune cells might play a role. Thus, we here provide a systematic mapping of immune infiltration of different 5-ALA fluorescence levels. METHODS: Tumor-associated macrophages (CD68, CD163), cytotoxic T cells (CD8), and regulatory T cells (FoxP3) were quantified via three methods. First, data from The Cancer Genome Atlas (TCGA) of 172 patients was examined for correlations between 5-ALA fluorescence-related mRNA expression signatures and immune markers. Second, as classical histology, 508 stained slides from 39 high-grade glioma patients were analysed semi-quantitatively by two independent reviewers, generating 1016 data points. Third, digital image analysis was performed with automated scanning and algorithm-based cell quantification. RESULTS: TCGA mRNA data from 172 patients showed a direct, significant correlation between 5-ALA signatures and immune markers (p < 0.001). However, we were not able to confirm this finding in the here studied initial set of 39 patient histologies where we found a comparable immune infiltration in different fluorescence levels. Digital image analysis correlated excellently with standard histology. CONCLUSION: With mapping the immune infiltration pattern of different 5-ALA categories, we are adding fundamental basic insights to the field of 5-ALA and glioma biology. The observation that a significant correlation in TCGA data did not fully translate to detectable differences in immune infiltration in first histology data warrants further investigation in larger cohorts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04406-3. Springer US 2023-08-06 2023 /pmc/articles/PMC10462498/ /pubmed/37543970 http://dx.doi.org/10.1007/s11060-023-04406-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Lang, Alexandra Jeron, Raphael L. Lontzek, Bastian Kiesel, Barbara Mischkulnig, Mario Berghoff, Anna S. Ricken, Gerda Wöhrer, Adelheid Rössler, Karl Lötsch-Gojo, Daniela Roetzer-Pejrimovsky, Thomas Berger, Walter Hainfellner, Johannes A. Höftberger, Romana Widhalm, Georg Erhart, Friedrich Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title | Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title_full | Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title_fullStr | Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title_full_unstemmed | Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title_short | Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis |
title_sort | mapping high-grade glioma immune infiltration to 5-ala fluorescence levels: tcga data computation, classical histology, and digital image analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462498/ https://www.ncbi.nlm.nih.gov/pubmed/37543970 http://dx.doi.org/10.1007/s11060-023-04406-3 |
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