Genetically Modified DCs Engineered To Express PSA and/or PSMA Can Induce a Potent Immune Response Against Prostate Cancer Cells.
Notice bibliographique
Résumé
Abstract Prostate cancer (Pca) is the most frequently diagnosed cancer in American men, with an estimated 230,110 cases expected in 2004. Despite various treatment strategies for patients including androgen ablation, radical prostatectomy, radiotherapy, and chemotherapy, the incidence of recurrence remains high and there is limited impact on survival, specially for metastatic disease. Our strategy involves the use of genetically-modified dendritic cells (DCs) to induce an immune response. We have previously demonstrated in a murine model that mature DCs engineered to express prostate tumor-associated antigens (TAAs) can stimulate immune system to specifically target TAA-expressing tumor cells. In view of the heterogenous nature of Pca, we hypothesized that stimulating the immune system against two antigens simultaneously may augment the anti-tumor activity. We generated murine DCs from whole bone marrow from mice by culturing them in granulocytemonocyte colony stimulating factor (GM-CSF) and IL-4 (20ng/ml each) and later with TNF-α. During the DC development, they were transduced with a concentrated oncoretrovirus that engineers the coexpression of prostate specific antigen (PSA) and CD25 (a cell surface marker for tranduced cells) (DC-PSA) or solely the expression of prostate specific membrane antigen (DC-PSMA). Transductions of DCs resulted in 30–60% expression of the either CD25 or PSMA as checked by flowcytometry. These DCs displayed high expression of DC markers like CD11c, CD80, CD86, CD40 and MHC class II molecules. There was no change in their allostimulatory capacity as checked by mixed lymphocyte reaction. Later, mice were injected either with DC non-transduced(NT), DC-PSA, with DC-PSMA. After two immunizations at different time points, the splenocytes were collected from all the groups one week after the last immunization. These splenocytes were stimulated to become effectors and were subsequently analysed to check for IFN-γ secretion, IL-10 secretion and cytolytic assays, using the targets as syngeneic murine prostate tumor cells, RM1 engineered to express PSA and PSMA. The effectors showed high IFN-γ and high cytolytic activity low IL-10 secretion as compared to controls. Our next step will be to test the increase of the levels of IFN-γ secretion and cytolytic activity in the mice immunized with DC-PSA and DC-PSMA both as compared to DC-PSA alone and DC-PSMA alone. To show clinically feasibility of our approach, we extended our work to human cells. HuDCs were generated using human CD34+ hematopoietic cells by culturing them in GM-CSF, SCF, Flt3L and TNF-α for 12 days. During DC production, they were transduced to express PSA or PSMA using a concentrated oncoretrovirus. They were checked for DC markers and the expression of the respective TAAs i.e PSA (CD25) or PSMA. Later, these cells were co-cultured with autologous T-cells. When these immunized T cells were used as effectors against the HLA-matched prostate cancer cell lines expressing PSA and PSMA, they showed high IFN-γ secretion and Low IL-10 secretion as compared controls. Thus, we have found that human DCs can be used to sensitize T cells to show antitumor responses and we are going to test in murine model the augmentation of such antitumour response by using multiple antigen immunotherapy approach.
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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) | 0,001 | 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 ».