Tumor-induced dendritic cell dysfunction impairs T-cell proliferation and confers poor prognosis in high-risk acute lymphoblastic leukemia
Notice bibliographique
Résumé
Abstract Background: Dendritic cells (DCs) are key regulators of long-term anti-leukemia immunity. The functional status of DCs and mechanisms by which they are perturbed in B/T- cell acute lymphoblastic leukemia (ALL) are unknown. We delineated the defects in DC homeostasis in patients with high-risk ALL and assessed the cause and prognostic significance of these defects. Approach: Using high-dimensional flow cytometry and single cell RNA-sequencing (scRNA-seq) respectively, we profiled proteins and mRNA in single myeloid cells including DC subsets in mononuclear cell samples from peripheral blood (PBMC) and bone marrow (BMMC) of 33 high-risk ALL patients and 35 tissue-matched healthy donor (HD) controls. We used co-cultures of DCs with immune effector cells (T or NK) and primary mouse models of B- and T-ALL to determine the cause and consequence of DC dysfunction in ALL. We correlated DC dysfunction with clinical outcome. Results: Monocytes and DCs exhibit functional similarities and phenotypic plasticity. In the non-malignant immune cell fraction, we found significant reduction in CD14+ total monocytes in PBMC and BMMC of ALL patients compared to HD controls. Classical monocytes (CD14HighCD16-) were significantly reduced at the expense of other monocytes subsets (p<0.0001). Frequencies of CD14+CD209+ monocyte-derived DCs, which can impair T-cell surveillance, were aberrantly increased in ALL patients (p<0.001). In non-monocytic, non-B, non-T, HLA-DR+ fraction of ALL patients, CD123LowCD11c- population aberrantly emerged at the expense of CD11c+ conventional DCs (cDC) and CD123HighCD11c- plasmacytoid DCs (pDCs) (p<0.001 PB, p<0.001 BM for all DC subsets). High-dimensional flow cytometry and scRNA-seq found CD141HighCD1c- (cDC1) and CD141Low/-CD1c+ (cDC2-3) to be reduced at the expense of CD141Low/-CD1c- (cDC4-5) in ALL patient PBMC and BMMC compared to healthy counterparts. We identified DC progenitors (DCP), cDC1-5, and pDCs (DC6) in healthy PBMCs, but this distinction was lost in ALL. cDC1-3 showed greatest disruption, with subtype-specific markers being expressed aberrantly in ALL. Computational lineage tracing showed that ALL DCs do not follow the healthy differentiation trajectory; this could be potentially due to below threshold expression levels of transcription factors IRF8 and IRF4, which are essential for the terminal differentiation of DC subsets. Consistent with this, cytokines (e.g., GM-CSF) and receptors (e.g., CD116 and CD117) required for DC maturation and differentiation were significantly reduced in ALL microenvironments compared to healthy controls. Thus, functional specialization of DC subsets is impaired in ALL. Antigen-primed DCs derived from ALL patients, when co-cultured with healthy donor-derived pan-T cells, were unable to induce T-cell proliferation, unlike their healthy donor-derived DC counterpart. Thus, perturbed DC homeostasis in ALL impairs the ability of DCs to induce T-cell mediated immunity. Increased HLA-DR and CD11c mark mature DCs with T-cell priming potential. Consistent with the inability of DCs in ALL patients to induce T-cell proliferation, we found a reduction in CD11cHighHLA-DRHigh and a concomitant increase in CD11cLowHLA-DRLow/-DC fraction in patients with ALL and in two transgenic mouse models that develop high-risk disease. MYC overexpression in leukemia cells drove the reduction in frequencies of CD11cHighHLA-DRHigh DCs. ALL patients with lower than median frequencies of CD11cHighHLA-DRHighDCs had poor overall survival. Finally, using transcriptomic profiles of less mature/dysfunctional and mature/functional DCs, we used CIBERSORT to estimate the relative fractions of dysfunctional and functional DCs in patients with B-ALL enrolled in the Children’s Oncology Group (COG) P9906 trial. Higher proportion of dysfunctional DCs at diagnosis predicted poor clinical outcomes in children with ALL independent of known indicators of poor prognosis including central nervous system involvement of leukemia cells and high white blood cell count at diagnosis (P<0.05). Conclusion: Oncogenic signaling from leukemic cells impairs DC differentiation and function in ALL. The subsequent loss in DC-mediated T-cell priming disrupts anti-leukemic immune surveillance. Level of DC dysfunction in patients with ALL is a reliable predictor of patient prognosis and could inform treatment strategies.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».