MétaCan
Menu
← Retour à la cohorte
Enregistrement W4413880346 · doi:10.3389/fimmu.2025.1690655

Editorial: Repurposing cancer immunotherapies for use in autoimmunity and transplantation

2025· editorial· en· W4413880346 sur OpenAlexaff
Dominic A. Boardman, Lesley A. Smyth, Leonardo M. R. Ferreira

Notice bibliographique

RevueFrontiers in Immunology · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of British ColumbiaBC Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésRepurposingAutoimmunityMedicineTransplantationCancerImmunologyImmunotherapyCancer immunotherapyImmune systemBiologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Cancer immunotherapy has reshaped modern medicine, providing new hope to patients by mobilizing the immune system to eliminate malignancies with potency and precision. While these therapies were originally designed to enhance immune responses against tumors, recent years have seen a transformative shift in the application of their underlying technology, with many of these pro-inflammatory and cytotoxic tools now being repurposed in a new array of diseases to achieve the opposite effect: immune tolerance. This research topic, Repurposing Cancer Immunotherapies for Use in Autoimmunity and Transplantation, brings together a collection of pioneering studies and reviews offering proof-of-concept studies, new mechanistic insights, and translational outlooks on how lessons learned from immuno-oncology are being repurposed to suppress, rather than stimulate, the immune system to establish tolerance in autoimmune disease, organ transplant rejection, graft-vs-host disease, and chronic inflammation. Reprogramming Tregs: Targeting Alloreactive B Cells and Lymphoid Niches Regulatory T cells (Tregs), a subset of CD4+ T cells dedicated to inhibiting immune responses and maintaining immune homeostasis, hold great promise as living therapeutics to establish immune tolerance in organ transplantation, graft-vs-host disease, and autoimmune disease [1; 2]. Two studies in this issue underscore the versatility of Tregs when armed with cancer therapy-inspired engineering strategies. One, by Ferreira and colleagues, introduces chimeric anti-HLA antibody receptor (CHAR) Tregs designed to suppress alloantigen-specific B cells in HLA sensitized transplant recipients (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1601385/full). This elegant approach transforms Tregs into highly selective suppressors of anti-HLA-A2 B cells by equipping them with a synthetic receptor to recognize and inhibit these pathogenic antibody-producing cells. Importantly, CHAR Tregs remained non-cytotoxic and suppressed antibody production by HLA-A2 sensitized patient cells exposed to HLA-A2. This specificity could dramatically improve desensitization protocols in transplant medicine and extend the lifetime of organ transplants, moving beyond broad immunosuppression to precision targeting of harmful immune subsets. In the second study, Fousteri, Bonini, Biswas, and colleagues present CXCR5-engineered Tregs as a strategy to improve their localization and function in secondary and tertiary lymphoid tissues, aspects often overlooked in engineered cell therapies (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1513009/full). In humanized mice, human Tregs co-expressing CXCR5 and an HLA-A2-specific chimeric antigen receptor (CAR) [3; 4; 5] trafficked to and persisted in transplanted HLA-A2 positive human pancreatic islets without impairing islet function, in line with previous studies [6]. Similarly, mouse Tregs co-expressing CXCR5 and a T cell receptor fusion construct (TRuC) against FVIII [7] displayed improved homing to and persistence in the spleen and lymph nodes, and suppressed anti-drug antibody (ADA) responses to recombinant FVIII protein to a greater extent than control FVIII TRuC Tregs in immunocompetent mice. These studies not only highlight the flexibility of Treg cell therapy but also emphasize the importance of molecular targeting, a key principle learned from CAR T cell therapy in oncology. Forging the Path to Precision Modeling of Autoimmune Disease Type 1 diabetes (T1D) is driven by the targeted immune destruction of insulin-producing β-cells, with CD8+ T cells playing a central pathogenic role. However, efforts to study these autoreactive T cells have been stymied by their rarity in the peripheral blood [8]. Brusko and colleagues address this challenge through innovative use of CRISPR/Cas9-mediated genome editing and lentiviral vector technology to reprogram the antigen specificity of primary human CD8+ T cells (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1142648/full). By targeting the endogenous TCRα gene (TRAC) locus, these researchers generated HLA-A2-restricted islet peptide-specific CD8+ T cells that were cytotoxic towards HLA-A2 positive β-cells and secreted inflammatory cytokines. This work represents important progress not only on our ability to model autoimmunity more precisely, but also on preventing or even reversing it. Repurposing Cancer Drugs for Autoimmune Diseases Cancer therapeutics often exploit vulnerabilities in rapidly dividing cells – a characteristic shared by autoreactive immune cells. AZD6738, an ATR kinase inhibitor originally developed for oncologic indications [9], is now being investigated for T1D prevention. As reported in this research topic by Sugitani and colleagues, short-term treatment with AZD6738 prevents T1D and delays its onset in non-obese diabetic (NOD) mice by selectively depleting highly proliferative, self-reactive T cells (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1290058/full#h13) . This strategy, if finetuned, can preferentially target autoaggressive cells while preserving overall immune competence. Similarly, dual inhibition of PI3Kδ and PI3Kγ, kinases often hyperactivated in B cell malignancies, shows promise in autoantibody-driven diseases like lupus. Marshall and colleagues show that Duvelisib, a PI3Kδ/γ inhibitor [10], significantly reduced B cell activation and autoantibody production, with associated improvements in kidney pathology, in the TAPP1R218LxTAPP2R211L PI3K pathway dysregulation-driven mouse model of lupus-like disease (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1115244/full). Together, these exciting results suggest that drugs designed to inhibit tumor growth can be redirected to selectively eliminate pathogenic lymphocytes in autoimmunity. Towards a Broader Understanding of Regulatory Cell Therapy The field of regulatory cell-based therapies is rapidly expanding. Three review articles in this issue provide critical frameworks for understanding the diversity of regulatory immune cells, progress using them in the clinic, and the context-dependent behavior of immunomodulatory signals. One review by Ferreira, Aref, and colleagues examines the therapeutic potential of Tregs, regulatory B cells (Bregs), tolerogenic dendritic cells, and myeloid-derived suppressor cells (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2022.1075813/full). Each have demonstrated suppressive activity in preclinical autoimmune disease models and represents a modular tool for tuning immune responses, with efforts using Tregs being the furthest along in the clinic. As our understanding of Treg biology has deepened, so too has the ambition to translate this knowledge into the clinic. A review by Bluestone and colleagues provides a comprehensive and authoritative overview of Treg biology and the development of Tregs as living therapeutics by academic hospital centers and biotechnology companies, outlining both the promise and the remaining hurdles of developing Treg-based interventions into a third pillar of medicine, alongside conventional drugs and biologics (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1166135/full). Another review, by Skartsis and colleagues, examines the paradoxical effects of tumor necrosis factor alpha (TNFα) signaling (https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2022.1042622/full). Often viewed as a proinflammatory cytokine, named after its ability to kill tumor cells [11], TNFα also plays roles in immune homeostasis and regulatory T cell function [12]. The dual roles of membrane-bound versus soluble TNFα, along with differential tumor necrosis factor receptor TNFR1 and TNFR2 signaling pathways, suggest that nuanced targeting will be key to exploiting TNFα pathways therapeutically. The Path Forward: From Oncology to Immune Tolerance The contributions in this special issue collectively paint a compelling picture: cancer immunotherapies can be elegantly and efficaciously inverted and redirected to promote immune tolerance. The transition from tumor eradication to immune modulation is not just a lateral move. It is a profound shift that requires careful consideration of context, cell types involved, and antigen specificity. Cancer therapies have driven tremendous progress in precision T cell engineering, immune signaling network manipulation, and cell survival pathway targeting. These same strategies, reimagined through the lens of immune tolerance, are now fueling innovation in transplantation and autoimmunity. Nevertheless, challenges remain. Stability of engineered cells, tissue targeting efficiency and persistence, potential for unwanted off-target effects, and epitope spreading (which can be seen as autoimmunity's counterpart to cancer's immune editing) are all hurdles shared across oncology and autoimmunity. But with continued collaboration across fields and an ever-growing toolkit of synthetic biology, gene editing, and cell therapy strategies, the future looks promising. We are at a critical inflection point in immune therapy. The same ingenuity that gave rise to checkpoint inhibitors, CAR T cell therapy, and precision medicine cancer drugs is now being directed towards building a new class of tolerance-inducing therapies for autoimmunity, transplant rejection, graft-vs-host disease, allergies, and inflammatory disorders. We hope this special issue inspires continued basic research, clinical trials, and interdisciplinary collaboration to bring these therapies to the patients who desperately need them.

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)0,005
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,065

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,013
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,002
Communication savante0,0050,005
Science ouverte0,0040,001
Intégrité de la recherche0,0110,015
Charge utile insuffisante (le modèle a refusé de juger)0,0190,013

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 Opus0,015
Tête enseignante GPT0,316
Écart entre enseignants0,301 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueFrontiers in Immunology→Même sujetCAR-T cell therapy research→Travaux en français237 207→