Selective Depletion of Recipient-Alloreactive T-Cells While Retaining Viral-Specific and Memory T-Cells Enables Safe and Efficacious Haplo-Identical HSCT
Notice bibliographique
Résumé
Abstract Haplo-identical HSCT may resolve the shortage of sufficient available HLA-matched donors for treatment of end-stage blood-cancer patients with a HSCT. Yet, current techniques do not allow for such procedure as presence of T-cells will cause severe GvHD and absence of T-cells (i.e. naked Haplo) will lead to occurrence of opportunistic infections. Kiadis Pharma is developing ATIR, a personalized T-cell immunotherapy based on a donor lymphocyte preparation selectively depleted of host alloreactive T-cells, through use of photo-dynamic therapy. Briefly, recipient-reactive T-cells from donor-origin are activated in a unidirectional mixed lymphocyte reaction (MLR). Thereafter the cells are treated with the proprietary compound TH9402 which is selectively retained in activated T-cells. Subsequent light-exposure eliminates the activated recipient-reactive T-cells but preserves the other T-cells. In a dose-finding phase I/II clinical study (CR-GVH-001), the product was shown to enable safe and efficacious haplo-identical HSCT with doses up to 5x106 viable T-cells/kg. Currently, a subsequent phase II clinical study (CR-AIR-007) on ATIR (2x106/kg) is ongoing. Figure 1 Figure 1. Using recently developed analytical methods, the ATIR product is extensively characterized showing that recipient-alloreactive T-cells were selectively depleted from the product while retaining reactivity against unrelated 3rdparty antigens and general potent T-cells. In the figure above, a typical example of the ATIR responsiveness profile is shown when analyzing the cells in a CFSE-dilution based proliferation assay. Clearly, the cells in ATIR no longer proliferate to recipient antigens, but do still propagate when co-incubated with unrelated 3rd party cells or the poly-clonal T-cell stimulus anti-CD3/28. Generally, almost all recipient-responsiveness is depleted, while 3rdparty responsiveness remains unchanged. The ATIR proliferation profile is corroborated by examination of interferon-γ production at day 5: the original donor cells produced a median of 775 pg/ml IFN-γ when stimulated with recipient cells, whereas ATIR produced a median of 1 pg/ml IFN-γ. Also less IFN-γ was produced by ATIR when co-incubated with 3rd party cells: 127 pg/ml vs 1106 pg/ml. However, ATIR produced more IFN-γ when polyclonally stimulated with PMA+ionomycin: 4075 pg/ml vs 2580 pg/ml. TableNaïve (%)Effector (%)CM (%)EM (%) CD4 T-cellsDonor4840210ATIR4435714 CD8 T-cellsDonor59161114ATIR6911911 Additionally, ATIR was shown to have retained the presence of memory and naïve T-cells (see table), viral-specific T-cells as assessed by multimers staining and showed responsiveness to pathogens. Thereby, ATIR will provide mature immune cells that offer immune protection without eliciting severe GvHD. The in vitro characterization data are supported by clinical data showing absence of TRM during 5-year follow-up (CR-GVH-001) over a broad dose range and no occurrence of grade 2 or higher GvHD in the ongoing clinical study (CR-AIR-007). Together, these data show that using ATIR as an adjunctive medication, haplo-identical HSCT can be safe and efficacious. Disclosures No relevant conflicts of interest to declare.
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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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 ».