Checkpoint Blockade Therapy May Sensitize Hodgkin Lymphoma to Subsequent Therapy
Notice bibliographique
Résumé
Abstract Background: Relapsed or refractory (R/R) Hodgkin lymphoma (HL) remains a significant clinical problem. Recently checkpoint blockade therapy (CBT) has shown striking activity in this setting, but the complete response (CR) rate is modest. Patients who relapse after CBT have limited therapeutic options. A prior, retrospective study showed that after anti-PD-1 therapy the objective response rate to chemotherapy alone was 61% (Rossi et al 2017). We investigated the effect of treatment subsequent to CBT in a large international multicenter retrospective analysis. Methods: Seventeen centers across the US and Canada are participating in this study to date. Medical records of each institution were queried to identify HL patients who received CBT and were subsequently treated with an additional line of therapy. The primary aim of this analysis was to determine the best response to post-CBT treatment in patients who discontinued CBT due to progression of disease (PD), preparation for stem cell transplant (SCT), or toxicity. Patients who discontinued CBT due to CR, and patients whose best response could not be determined due to death from another cause were excluded from analysis. Responses were assessed using Lugano criteria. Survival status was analyzed for the entire study population and stratified by post-CBT treatment regimen and disease subgroups using the Kaplan-Meier method. Progression free survival (PFS) was calculated for patients with at least stable disease (SD) to post-CBT treatment. Log rank tests were performed to test for statistical significance. Two-sided P<0.05 was considered to be statistically significant. Results: To date, out of 121 total lymphoma patients, a total of 77 HL patients received a subsequent line of therapy after CBT. Their median age was 37 (range 23-74); there were 38 men and 39 women. Fifty of these patients met inclusion criteria. Of the included patients, 15 were stages 1-2 and 35 were stages 3-4. These patients were heavily pre-treated with a median of 4 prior therapies before CBT (range 1-10). Thirty-one patients received prior brentuximab vedotin (BV) and 28 patients had undergone allogeneic (3) or autologous (25) SCT. The median duration of response (DOR) to the line of therapy prior to CBT was 3.5 months; 18 (36%) patients had relapsed disease, and the remaining 32 (64%) had refractory disease prior to CBT. The best response to CBT included: 2 (4%) CR, 21 (42%) partial response (PR), 13 (26%) SD, 14 (28%) PD. Patients discontinued CBT due to PD (72%), preparation for transplant (16%), toxicity (8%), CR after the addition of chemotherapy (2%), and an infectious complication (2%). Post-CBT treatment regimens included standard chemotherapy (46%), targeted therapy (22%), conditioning regimens for SCT (16%), other immunotherapy (4%), or clinical trial drugs (12%). The objective response rate (ORR) for all patients to post-CBT treatment was 52%: 17 (34%) CR and 9 (18%) PR. Eight (16%) patients achieved SD, while 16 (32%) patients progressed. Overall response rate to post-CBT treatment correlated with response to CBT itself. Among patients with a CR or PR to CBT, their ORR to post-CBT treatment was 70%, whereas for non-responders to CBT the ORR to post-CBT treatment was 37%. At a median time of follow-up of 14 months, the median PFS for patients who achieved a CR, PR, or SD to post-CBT treatment (n=34) is 10.7 months (Figure 1). Twenty (58.8%) of these patients have not yet progressed, and the OS has not been reached (Figure 2), as 85% of patients remain alive. Currently there is no statistical difference in survival based upon post-CBT treatment received (Figure 3, Table 1). However, of note 21 patients received SCT subsequent to their post-CBT treatment: 8 allo and 13 auto. All of these patients remain alive, however, 9 of 12 (75%) have progressed post SCT. Conclusions: In a heavily pretreated R/R HL population, treatment with CBT may sensitize patients to subsequent therapy, even after they progress on CBT. A response to CBT appears to correlate with response to post-CBT treatment, but PD to CBT did not preclude a response to subsequent therapy. Patient survival does not appear to be dependent upon the subsequent treatment regimen, although the majority of patients with at least stable disease went on to SCT. The long PFS in these patients is encouraging and may warrant further investigation. We plan to expand this analysis with additional patients prior to the December meeting. Disclosures Advani: Celgene: Research Funding; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Kyowa: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Celgene: Research Funding; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Autolus: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Millenium: Research Funding; Janssen: Research Funding; Regeneron: Research Funding; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kura: Research Funding; Agensys: Research Funding; Infinity: Research Funding; Cell Medica: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Merck: Research Funding; Bayer: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Forty Seven Inc.: Research Funding; Gilead/Kite: Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Participated in an advisory board, Research Funding. Herrera:AstraZeneca: Research Funding; Seattle Genetics: Research Funding; Pharmacyclics: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Merck, Inc.: Consultancy, Research Funding; Gilead Sciences: Research Funding; Genentech: Consultancy, Research Funding; Immune Design: Research Funding; KiTE Pharma: Consultancy, Research Funding. Chen:Millennium Pharmaceuticals: Consultancy, Research Funding; Genentech Inc.: Consultancy; Pharmacyclics: Consultancy, Research Funding; Affimed: Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Research Funding; Merck & Co., Inc.: Consultancy, Research Funding, Speakers Bureau. Ramchandren:Janssen: Consultancy, Research Funding; Pharmacyclics LLC an AbbVie Company: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Merck: Research Funding. Assouline:BMS: Honoraria, Research Funding, Speakers Bureau; Pfizer: Honoraria, Research Funding, Speakers Bureau; Roche: Honoraria, Research Funding, Speakers Bureau; Novartis: Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Wagner-Johnston:Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Celgene: Research Funding; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; JUNO: Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTEX: Research Funding; Novartis: Research Funding. Svoboda:Bristol-Myers Squibb: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; KITE: Consultancy; Seattle Genetics: Consultancy, Research Funding; Kyowa: Consultancy; Regeneron: Research Funding; TG Therapeutics: Research Funding; Merck: Research Funding. Barta:Janssen: Membership on an entity's Board of Directors or advisory committees; Merck, Takeda, Celgene, Seattle Genetics, Bayer: Research Funding. Karmali:Gilead: Speakers Bureau; AstraZeneca: Speakers Bureau. Persky:Morphosys (IDMC): Consultancy; Spectrum: Research Funding; Genentech: Honoraria; Merck: Research Funding. Smith:Portola: Honoraria; BMS: Consultancy. Diefenbach:Trillium: Research Funding; Denovo: Research Funding; Millenium/Takeda: Research Funding; Acerta: Research Funding; Incyte: Research Funding; Seattle Genetics: Consultancy, Research Funding; Merck: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Genentech: Consultancy.
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 | 0,001 | 0,002 |
| 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) | 0,002 | 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 ».