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Enregistrement W3164975864 · doi:10.1093/noajnl/vdab068

Immune cell analysis of pilocytic astrocytomas reveals sexually dimorphic brain region-specific differences in T-cell content

2021· article· en· W3164975864 sur OpenAlexaff
Jie Chen, Namita Sinha, Olivia Cobb, Collin Liu, Ayça Erşen, Joanna J. Phillips, Tarık Tihan, David H. Gutmann, Sonika Dahiya

Notice bibliographique

RevueNeuro-Oncology Advances · 2021
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeuroinflammation and Neurodegeneration Mechanisms
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesNational Institute of Neurological Disorders and StrokeNational Cancer Institute
Mots-clésImmune systemSexual dimorphismCellBiologyBrain CellNeurosciencePathologyMedicineImmunologyGeneticsEndocrinology

Résumé

récupéré en direct d'OpenAlex

Pilocytic astrocytoma (PA) is the most common glioma in children, with an excellent overall survival following surgical resection; however, a small subset of tumors recur, especially following incomplete resection. Since PAs contain a large number of non-neoplastic cells, immunomodulatory therapies have been proposed, particularly in light of results using experimental mouse models of low-grade glioma (LGG), where microglia and T cells were found to be critical non-neoplastic drivers of tumor formation and growth.1 To define the immune cell landscape of PAs, we leveraged tissue microarrays from 47 children (1–14 years; mean age, 7 years) with sporadic (non-NF1-associated) PA diagnosed between 1992 and 2004. Twenty-three (48.9%) were female, 21 (44.7%) were male, and 3 lacked clinical data. Tumors were located in the posterior fossa (n = 28; 59.5%), spinal cord (n = 2; 4.2%), and supratentorial (ST) compartment (n = 17; 34%), including one (2.1%) in the hypothalamus. Twenty-three patients (48.9%) underwent gross total resection, 22 (46.8%) subtotal resection, and 1 (2.1%) biopsy alone, with no surgical data available for one case. Tumor-associated microglia/macrophages were present as either scattered cells and/or perivascular aggregates (Figure 1A), with 15.3 ± 1.7 % CD68+ and 14.4 ± 2.2% CD163+ cells. CD3+ T cells (3.5 ± 0.6%) including CD8+ cells (1.6 ± 0.36%) and CD4+ cells (0.9 ± 0.19%) were less abundant, whereas CD20+ B cells (0.1 ± 0.02%) and CD21+ dendritic cells (0%) were scarce (Figure 1B). To validate these findings, we analyzed RNA expression data from 82 sporadic PAs with CIBERSORTx2 using reference file LM22.3 Similar to the immunostaining results, microglia/macrophages constituted the majority of the immune-like cells (33.5% ± 9.7% [SEM = 1.1%]), with CD8+ cells constituting the next most abundant population (Figure 1C), as recently reported for both human4 and mouse5 NF1-LGG. (A) Representative immunohistochemistry images from the PA tissue microarray. (B) Higher percentages of CD68+ and CD163+ tumor-associated microglia/macrophages were observed relative to CD3+ T cells, CD20+ B cells, and CD21+ dendritic cells (***P < .0001 by one-way analysis of variance). (C) CIBERSORTx analysis of RNA microarray data from 82 sporadic PAs (GSE44971, n = 46; GSE50161, n = 15; GSE12907, n = 21), in which macrophage and monocyte populations (MG/MΦ), as well as CD8+ cell populations (CD8+ T cells and NK cells), were combined. The means and standard deviations for these deconvoluted results are included. (D) Percentage of CD3+ T lymphocytes was higher in supratentorial relative to infratentorial PAs as a group (*P = .0247; Welch’s t-test). (E) Percentage of CD3+ T lymphocytes was significantly higher in supratentorial compared to infratentorial PAs from boys (*P = .0309), but not girls (P = .5022). ST-M: n = 6; IF-M: n = 15; ST-F: n = 10; IF-F: n = 13. (F) Percentage of CD8+ T lymphocytes was significantly higher in supratentorial compared to infratentorial PAs from boys (*P = .0125), but not girls (P = .4369). ST-M: n = 6; IF-M: n = 13; ST-F: n = 9; IF-F: n = 12. (G) There was no significant difference in percentage of CD4+ T lymphocytes in supratentorial compared to infratentorial PAs from either boys (*P = .9927) or girls (P = .4201). ST-M: n = 6; IF-M: n = 13; ST-F: n = 9; IF-F: n = 12. ST-M, supratentorial-male; IF-M, infratentorial-male; ST-F, supratentorial-female; IF-F, infratentorial-female. P values in panels (E), (F), and (G) by Tukey’s multiple comparisons test. Immunohistochemistry for microglia/macrophages (CD68; Ventana, CD163; Cell Marque), T cells (Ventana; CD3, 2GV6; CD8, SP57; CD4, SP35), B cells (CD20; Ventana), and dendritic cells (CD21; Cell Marque) was performed, and percentage of positive cells was manually counted. Ki67 immunohistochemistry (Ventana) was performed to determine the proliferation indices. Whole slide images were scanned on a Ventana iScan Coreo (Ventana Medical Systems) at a magnification of 200× and analyzed with the companion algorithm image analysis software (Roche). (A) Representative immunohistochemistry images from the PA tissue microarray. (B) Higher percentages of CD68+ and CD163+ tumor-associated microglia/macrophages were observed relative to CD3+ T cells, CD20+ B cells, and CD21+ dendritic cells (***P < .0001 by one-way analysis of variance). (C) CIBERSORTx analysis of RNA microarray data from 82 sporadic PAs (GSE44971, n = 46; GSE50161, n = 15; GSE12907, n = 21), in which macrophage and monocyte populations (MG/MΦ), as well as CD8+ cell populations (CD8+ T cells and NK cells), were combined. The means and standard deviations for these deconvoluted results are included. (D) Percentage of CD3+ T lymphocytes was higher in supratentorial relative to infratentorial PAs as a group (*P = .0247; Welch’s t-test). (E) Percentage of CD3+ T lymphocytes was significantly higher in supratentorial compared to infratentorial PAs from boys (*P = .0309), but not girls (P = .5022). ST-M: n = 6; IF-M: n = 15; ST-F: n = 10; IF-F: n = 13. (F) Percentage of CD8+ T lymphocytes was significantly higher in supratentorial compared to infratentorial PAs from boys (*P = .0125), but not girls (P = .4369). ST-M: n = 6; IF-M: n = 13; ST-F: n = 9; IF-F: n = 12. (G) There was no significant difference in percentage of CD4+ T lymphocytes in supratentorial compared to infratentorial PAs from either boys (*P = .9927) or girls (P = .4201). ST-M: n = 6; IF-M: n = 13; ST-F: n = 9; IF-F: n = 12. ST-M, supratentorial-male; IF-M, infratentorial-male; ST-F, supratentorial-female; IF-F, infratentorial-female. P values in panels (E), (F), and (G) by Tukey’s multiple comparisons test. Immunohistochemistry for microglia/macrophages (CD68; Ventana, CD163; Cell Marque), T cells (Ventana; CD3, 2GV6; CD8, SP57; CD4, SP35), B cells (CD20; Ventana), and dendritic cells (CD21; Cell Marque) was performed, and percentage of positive cells was manually counted. Ki67 immunohistochemistry (Ventana) was performed to determine the proliferation indices. Whole slide images were scanned on a Ventana iScan Coreo (Ventana Medical Systems) at a magnification of 200× and analyzed with the companion algorithm image analysis software (Roche). Whereas the percent of CD68+ or CD163+ cells did not correlate with tumor location (P = .3814 and .1506), the percent of T cells was approximately 2-fold higher in ST PAs relative to their infratentorial (IT) counterparts (5.4 ± 1.1% vs 2.5 ± 0.5%, P = .0247, Wilcoxon rank sum test; Figure 1D). In addition, the increased CD3+ T lymphocyte content in ST PAs was only observed in males (ST-M: 7.4 ± 2.5%, IF-M: 2.4 ± 0.8%, P = .0309; ST-F: 4.7 ± 1.1%, IF-F: 2.6 ± 0.7%; P = .5022, Tukey’s multiple comparisons test; Figure 1E). Further analysis demonstrated increased CD8+ T lymphocyte content in ST PAs from males (ST-M: 4.1 ± 1.5%, IF-M: 0.9 ± 0.2%, P = .0125; ST-F: 2.2 ± 0.9%, IF-F: 0.9 ± 0.3%; P = .4369, Tukey’s multiple comparisons test; Figure 1F), but not CD4+ T lymphocyte content (ST-M: 0.9 ± 0.1%, IF-M: 0.7 ± 0.4%, P = .9927; ST-F: 1.5 ± 0.6%, IF-F: 0.6 ± 0.2%; P = .4201, Tukey’s multiple comparisons test; Figure 1G). This intriguing location-specific enrichment in boys suggests potential sexually dimorphic differences in tumor biology for these spatially distinct LGGs. Given the T-cell differences in ST versus IT PAs, we also examined the relationship between immune cell content and patient outcome. The percentage of CD68+ and CD163+ microglia/macrophages was higher in tumors that did not recur based on postoperative surveillance imaging (16.36 ± 2.013%, 14.9 ± 2.655%, respectively) compared to those that did (11.63 ± 2.19%, 11.38 ± 3.31%, respectively); however, this difference was not statistically significant (P = .4163 and .1244, respectively). Similarly, neither the percentage of CD3+ T cells nor the Ki67 proliferation index correlated with the tumor recurrence rate (P = .7822 and .4972, respectively; unpaired t-test) or recurrence-free survival, either in the entire cohort (P = .6312 and .2850, respectively; log-rank test) or in the 22 patients who underwent subtotal tumor resection (P = .6940 and .3768, respectively; log-rank test). Relevant to considering immune-targeted therapies for these tumors, we examined the expression of immune checkpoint proteins by immunohistochemistry. No PD-1 (Clone NAT105) or PD-L1 (Clone E1L3N) expression was detected in these PAs, consistent with previous reports demonstrating higher PD-L1 expression in malignant gliomas relative to lower-grade counterparts.6 Taken together, our findings are consistent with multiple prior studies demonstrating links between immune cell content and tumor location for PAs that are validated by the current study. We further identify an association between immune cell content and patient sex. Given the emerging role of T cells in microglia/macrophage-mediated LGG growth, these findings of sex-specific differences in T-cell content in ST versus IT PAs and the lack of tumoral PD-1/PD-L1 expression support the need for further investigations aimed at defining additional immune cell-directed targets for adjuvant LGG therapy. D.H.G. is supported by an RPA grant from the National Institute of Neurological Disorders and Stroke (1-R35-NS097211-01). Conflict of interest statement. The authors have no relevant interests to disclose.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,068
Tête enseignante GPT0,281
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2021
Routes d'admission1
Résumé présentoui

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