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Enregistrement W4386887905 · doi:10.1097/01.cot.0000978968.52879.28

The Use of Immunomodulation in Treating Thyroid Cancer

2023· article· en· W4386887905 sur OpenAlexaboutno aff

Notice bibliographique

RevueOncology Times · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer, Stress, Anesthesia, and Immune Response
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThyroid cancerMedicineCancerThyroidIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Thyroid Cancer: Thyroid CancerResults of a multicenter Phase II clinical trial led by researchers at the University of Chicago Medicine Comprehensive Cancer Center show that adding an immunomodulatory agent to treatment with the targeted tyrosine kinase inhibitor (TKI) cediranib did not make a difference in outcomes for treating patients with an advanced form of thyroid cancer that develops from thyroid follicular cells called differentiated thyroid cancer (DTC) (Ann Oncol 2023; doi: 10.1016/j.annonc.2023.05.002). Most patients with DTC receive successful treatment. However, a small group develops cancer that recurs or spreads to other parts of the body, making it hard to treat with traditional methods like surgery, hormonal therapies, chemotherapy, and radioactive iodine therapy. In recent years, there has been an increased interest in treating these patients with TKIs that target vascular endothelial growth factor receptor (VEGFR) signaling in the tumor microenvironment. These potent angiogenesis mediators target the formation of new blood cells, which plays an important role in the progression of thyroid cancer. UChicago Medicine oncologists Ari Rosenberg, MD, and Everett Vokes, MD, set out to test the safety and efficacy of cediranib, a TKI that targets multiple VEGFRs. Furthermore, the researchers hypothesized that this group of patients would have an additional benefit if the drug was combined with an immunomodulatory agent known as lenalidomide. This drug is also known to block angiogenesis and has anti-tumor properties in other cancers, and early clinical trials indicated that it exhibits similar activity against DTC. Recent combination therapies consisting of traditional therapies and immunotherapies have yielded superior results in many cancer conditions. “With this scope, we set out to evaluate whether immunomodulation by lenalidomide in combination with cediranib would improve disease-free survival over cediranib alone,” said Rosenberg, Assistant Professor in the Section of Hematology and Oncology at the UChicago Medicine Comprehensive Cancer Center. Study Details In a Phase II clinical trial, 108 patients were enrolled from various hospitals in the United States and Canada. They were randomly assigned to either of the two treatment arms: 39 patients in the cediranib alone group and 69 patients in the cediranib with lenalidomide group. The cediranib alone group achieved median progression-free survival (PFS) of 14.8 months, and 44 percent of patients had a complete or partial disappearance of tumor as assessed by objective response rate (ORR). Surprisingly, the addition of lenalidomide to cediranib didn't prove to be any better than treatment with cediranib alone. “There are many recent examples in the literature demonstrating the combination of VEGF-targeted TKIs and immunotherapeutic strategies can be very effective, both preclinically and clinically, in multiple cancer conditions, like renal cell carcinoma and hepatocellular carcinoma,” Rosenberg said. “And yet, this strategy does not appear to work in this particular disease with lenalidomide.” Final analysis of the data demonstrated that cediranib is an active agent, which means that the ORR and PFS of cediranib appear similar to other approved VEGFR-targeted tyrosine kinase inhibitors in DTC, including lenvatinib, sorafenib, and vandetanib. Rosenberg added that this study identifies the importance of randomized trial design, as single-arm studies can yield false-positive results and immunomodulation has been disappointing thus far in thyroid cancer. “The most important point of this study is that the addition of lenalidomide, an immunomodulatory agent, didn't improve the progression-free survival over cediranib alone, despite what appeared to be promising single-agent activity in DTC, and should not be combined with VEGFR-targeted TKIs,” he noted. Despite the advances in the field since the time of conceptualization and the enrollment of patients from 2010-2015, the implications remain quite relevant as outcomes beyond single VEGFR-targeted TKIs in DTC have not improved, Rosenberg added. “Our study results highlight an unmet need with the current strategies of harnessing the body's immune system to treat thyroid cancer and the need to evaluate new combinations and new mechanisms, in particular new immunotherapeutic strategies that may be more effective than immunomodulatory strategies or immune checkpoint inhibitors alone,” he said.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,762
Score d'incertitude au seuil0,194

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0000,000

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 Opus0,043
Tête enseignante GPT0,336
Écart entre enseignants0,293 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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