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Record W2907079093 · doi:10.1182/blood-2018-99-110429

Final Analysis of the Front-Line Phase III Randomized ACT-1 Trial in Younger Patients with Systemic Peripheral T-Cell Lymphoma Treated with CHOP Chemotherapy with or without Alemtuzumab and Consolidated By Autologous Hematopoietic Stem Cell Transplant

2018· article· en· W2907079093 on OpenAlexaff
Francesco d’Amore, Sirpa Leppä, María Gomes da Silva, Thomas Relander, Grete F. Lauritzsen, Peter de Nully Brown, Antonio Pezzutto, Jeanette K. Doorduijn, Eckhart Weidmann, Michel van Gelder, Achiel Van Hoof, Ilse Christiansen, Unn Merete Fagerli, Hans Hagberg, Pieternella J. Lugtenburg, Jan Walewski, Ka Lung Wu, Hilde Demuynck, Rob Fijnheer, Jacob Haaber Christensen, Milada Jankovská, Pär Josefsson, Hanneke C. Kluin‐Nelemans, José Mariz, Mats Merup, Thomas Noesslinger, Eric Van Den Neste, Josée M. Zijlstra, Georg Hopfinger, Vit Prochazka, Esa Jantunen, L Boudová, José Cabeçadas, Andreas Chott, Jan Delabie, Laurence de Leval, Arjan Diepstra, Marja‐Liisa Karjalainen‐Lindsberg, Peter Noergaard, Andreas Rosenwald, Grzegorz Rymkiewicz, Christer Sundström, Lorenz Truemper, Gerald Wulf, Lauren C. Chong, Alyssa Bouska, Lynette M. Smith, Christian Gisselbrecht, Marita Ziepert, Markus Loeffler, Knut Liestøl, Christian Steidl, Randy D. Gascoyne, David W. Scott, Bettina Altmann, Javeed Iqbal, Wing C. Chan, Helle Toldbod

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsBC Cancer AgencySpinal Cord Injury BCUniversity Health Network
Fundersnot available
KeywordsCHOPMedicineAlemtuzumabInternal medicineClinical endpointInterim analysisPeripheral T-cell lymphomaLymphomaRandomized controlled trialSurgeryOncologyTransplantationImmunologyImmune systemT cell

Abstract

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Abstract [§ share last authorship] Background: In 2000-2010, the first large prospective trials in peripheral T-cell lymphoma (PTCL) showed outcomes burdened by high failure rates during induction. Concurrently, trials with the anti-CD52 monoclonal antibody alemtuzumab (ALZ) yielded promising responses in PTCL while demonstrating the feasibility of combining ALZ with CHOP. Hence, the Nordic Lymphoma Group initiated the randomized ACT-1 trial to test, in younger patients (pts) (18-65yrs), the addition of ALZ to CHOP + autologous stem cell transplant (ASCT). Primary endpoint was the 3 years event-free survival (EFS). Here, we present the final analysis of the ACT-1 trial (ClinicalTrials.gov: NCT00646854). Patients and Methods: Overall, 136 pts were randomized (43% of planned sample size due to slow accrual), five did not receive study treatment, and 131 were analyzed (ALZ-CHOP: 65; CHOP: 66). Due to lack of tumoral CD52 expression, anaplastic large cell lymphomas (ALCL) were not included in the ACT-1 trial. An amendment tapering ALZ dose from 360 mg (30 mg on days 1+2 of each CHOP course) to 120 mg (30 mg on day 1 of CHOP courses 1-4) was introduced early on due to systemic fungal infections in 2 pts. Of the 65 pts treated with ALZ-CHOP, 4 received the pre- and 61 (94%) the post-amendment dose. Monitoring for CMV- and EBV-DNA and antimicrobial prophylaxis were mandatory. Results: The median observation time for the Full Analysis Set was 66 months and the median age 51 yrs. The ALZ-CHOP and CHOP cohorts were well balanced with regard to classical prognostic factors and histological subtypes (PTCL-NOS 58% vs 54%, AILT 21% vs 25%, other 21% vs 21%). Feasibility: Neither CHOP nor ALZ-CHOP pts experienced substantial treatment delay. ALZ exposure did not affect stem cell harvest nor hematopoietic recovery. Grade 4 leucopenia was more frequent in ALZ-CHOP pts (73% vs 35%; p=0.001), whereas the occurrence of grade 3-4 anemia and thrombocytopenia did not differ significantly. After ALZ dose amendment, the frequency of bacterial and fungal infections of grade ≥3 was similar in both treatment arms. ALZ treated pts had more viral events (22/57=42% vs 4/23=17%), mainly due to asymptomatic CMV reactivations. The ratio of serious adverse events per ALZ-CHOP treated patient dropped markedly (from 3.25 to 0.86, comparable with 0.46 for CHOP) after dose amendment. Additional toxicity was mild and similar in both arms. Treatment related mortality was 4% (5% vs 3%). Efficacy: Complete remission (CR) was 52% in ALZ-CHOP vs 42% in CHOP. Primary refractory disease occurred for ALZ-CHOP and CHOP in 23% and 38% of pts, respectively. Overall, females had a significantly better outcome than males (p=0.004), also after adjustment for classical prognostic factors. Analyzing time-related endpoints without knowledge of CD52 expression, 3-years EFS, progression-free, and overall survival (PFS, OS) did not differ significantly between ALZ-CHOP and CHOP (EFS 35% vs 26%, PFS 37% vs 26%, OS 52% vs 50%). Fig.1A shows EFS by treatment arm, by gender, and by gender and treatment arm. Although not significantly different, EFS, PFS and OS values of ALZ-CHOP treated females in the ACT-1 trial were consistently higher than those of non-ALZ treated females or of males regardless of treatment group. RNA sequencing from evaluable pre-therapeutic tumor biopsies defined a signature of differentially expressed genes to be predictive of clinical outcome in ALZ-CHOP but not CHOP treated pts (n=33). Tumor microenvironment genes were prominent in determining response to ALZ. Tumors rich in B-cell milieu showed good responses, while the opposite was observed in tumors with signatures enriched with high endothelial cell genes (p<0.001) (Fig.1B). The good risk signature was associated with a higher frequency of X-linked and the bad risk with a higher frequency of Y-linked transcripts (Fig.1B). Conclusion: In previously untreated younger non-anaplastic PTCL pts, the addition of ALZ to CHOP + ASCT was feasible. Overall, we did not find a significant outcome benefit. However, a gene expression signature predictive of ALZ response was identified and found predominantly in female patients. Carriers of this signature had an outcome benefit only if exposed to ALZ. A validation of this predictor of ALZ response is ongoing. Due to the limited sample size of the ACT-1 study cohort, both the negative and the positive findings of the trial should be interpreted with caution. Disclosures Leppä: Roche: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Research Funding; Bayer: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy. Silva:Gilead Sciences: Research Funding; Abbvie, Gilead Sciences, Janssen, BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche, Janssen, Celgene: Other: Travel Support; Roche, Janssen: Other: Institution's payment for consultancy. Hagberg:Roche: Honoraria. Lugtenburg:takeda: Consultancy, Research Funding; servier: Consultancy, Research Funding; roche: Consultancy; BMS: Consultancy; Celgene: Consultancy; Sandoz: Consultancy; GenMab: Research Funding. Walewski:Roche, GSK/Novartis, Takeda, and Janssen-Cilag: Research Funding; Roche, Celgene, Takeda, Janssen-Cilag, and Servier: Honoraria; Roche, Celegene, Takeda, Janssen-Cilag, and Servier: Membership on an entity's Board of Directors or advisory committees. Hopfinger:Janssen: Honoraria; Gilead: Honoraria, Research Funding; GlaxoSmithKline: Honoraria; Celgene: Honoraria; Novartis: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Roche: Consultancy, Honoraria. Jantunen:Amgen: Honoraria; Genzyme/Sanofi: Honoraria; Takeda: Honoraria. Steidl:Seattle Genetics: Consultancy; Juno Therapeutics: Consultancy; Tioma: Research Funding; Bristol-Myers Squibb: Research Funding; Nanostring: Patents & Royalties: patent holding; Roche: Consultancy. Gascoyne:NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies. Scott:Celgene: Consultancy, Honoraria; Janssen: Research Funding; Roche: Research Funding; NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies, Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.260
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations27
Published2018
Admission routes1
Has abstractyes

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