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Record W2982903806 · doi:10.1182/blood-2019-122781

An Exploratory Analysis of Brentuximab Vedotin Plus CHP (A+CHP) in the Frontline Treatment of Patients with CD30+ Peripheral T-Cell Lymphomas (ECHELON-2): Impact of Consolidative Stem Cell Transplant

2019· article· en· W2982903806 on OpenAlexaff
Kerry J. Savage, Steven M. Horwitz, Ranjana H. Advani, Jacob Haaber Christensen, Eva Domingo‐Doménech, Giuseppe Rossi, Franck Morschhauser, Önder Alpdoğan, Cheolwon Suh, Kensei Tobinai, Andrei R. Shustov, Marek Trněný, Sam Yuen, Pier Luigi Zinzani, Lorenz Truemper, Tim Illidge, Owen A. O’Connor, Barbara Pro, Meredith Little, Veronica Bunn, Keenan Fenton, Thomas Manley, Swaminathan P. Iyer

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBrentuximab vedotinMedicineInternal medicineUnivariate analysisTransplantationOncologySurgeryMultivariate analysisLymphomaCD30

Abstract

fetched live from OpenAlex

Introduction The ECHELON-2 study (NCT01777152) demonstrated significantly longer progression-free survival (PFS) and overall survival with brentuximab vedotin plus cyclophosphamide, doxorubicin, and prednisone (A+CHP) versus CHOP in the frontline treatment of patients (pts) with sALCL or other CD30-expressing PTCL and supported the 2018 FDA approval in this setting. Consistent with current guidelines, pts could have received consolidative stem cell transplant (SCT) after treatment at the discretion of the treating investigator. In all pts treated with A+CHP, only 22% (50 of 226) underwent SCT. Herein, we present outcomes from an exploratory analysis of pts in a complete remission (CR) following A+CHP who received an SCT and those who did not. Methods CR rate was defined at the end of treatment (EOT) by independent review per the Revised Response Criteria for Malignant Lymphoma. ALK+ sALCL pts were excluded because they tend to have more favorable outcomes. Consolidative transplant was not considered a PFS event. A univariate analysis of SCT versus no SCT and multivariate analyses adjusting for region and age were performed. Results Sixty-seven percent (76/113 pts) of pts with ALK- sALCL on the A+CHP arm were in CR at EOT and 36% (27/76) of them received SCT. Pts who underwent SCT were younger, with a median age of 50 years (yr) (range 18-68) compared with 59 yr (range 20-85) in those without SCT. Median PFS for pts with SCT was not reached (95% CI 36.57, not estimable [NE]) versus 55.66 mos (95% CI 23.72, 55.66) for pts without SCT. Fifty-nine percent (38/64) of pts with non-sALCL on the A+CHP arm were in CR at EOT and 29% (11/38) of them received SCT. Pts who underwent SCT were younger than those without (median age 57 yr [35-73] vs 66 yr [49-77]). Median PFS for pts who did and did not receive SCT was not reached (95% CI 20.70, NE) versus 33.22 mos (95% CI 8.08, NE), respectively. Prior to treatment start, the intent to transplant in Asian countries among ALK- sALCL and non-ALCL pts was less frequent in comparison to non-Asian countries (13% and 29% vs 49% and 57%, respectively). The proportion of pts ultimately transplanted was also less frequent (13% and 12% in Asia versus 32% and 23% in non-Asian countries). Standard PFS and multivariate proportional hazards regression analyses favored the use of SCT in PTCL pts in a CR after A+CHP (Table). Conclusions Numerical PFS estimates favor the use of SCT in PTCL pts in a CR after A+CHP; however, sample sizes are small. It is also recognized that unknown confounders may impact this post-hoc analysis. We observed that use of SCT was infrequent in Asian countries, suggesting regional practice differences. The overall impact of consolidative SCT remains unconfirmed, including in patients treated with A+CHP. Further studies are needed to establish its role in this setting. Table Disclosures Savage: BMS, Merck, Novartis, Verastem, Abbvie, Servier, and Seattle Genetics: Consultancy, Honoraria; Seattle Genetics, Inc.: Consultancy, Honoraria, Research Funding. Horwitz:Millennium/Takeda: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Trillium: Research Funding; Infinity/Verastem: Consultancy, Research Funding; Aileron: Research Funding; Kura: Consultancy; Affimed: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Trillium: Research Funding; Portola: Consultancy; Forty-Seven: Research Funding; Mundipharma: Consultancy; Celgene: Consultancy, Research Funding; ADCT Therapeutics: Research Funding; Astex: Consultancy; Astex: Consultancy; Celgene: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Innate Pharma: Consultancy; Affimed: Consultancy; Affimed: Consultancy; Kura: Consultancy; ADCT Therapeutics: Research Funding; Kyowa Hakko Kirin: Consultancy; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa Hakko Kirin: Consultancy; Astex: Consultancy; Miragen: Consultancy; Celgene: Consultancy, Research Funding; Mundipharma: Consultancy; Innate Pharma: Consultancy; Kura: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Astex: Consultancy; ADCT Therapeutics: Research Funding; Affimed: Consultancy; Portola: Consultancy; Miragen: Consultancy; Aileron: Research Funding; Trillium: Research Funding; Seattle Genetics: Consultancy, Research Funding; Portola: Consultancy; Innate Pharma: Consultancy; Forty-Seven: Research Funding; Miragen: Consultancy; Kyowa Hakko Kirin: Consultancy; Aileron: Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy, Research Funding; Miragen: Consultancy; ADCT Therapeutics: Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Kura: Consultancy; Innate Pharma: Consultancy; Seattle Genetics: Consultancy, Research Funding; Forty-Seven: Research Funding; Mundipharma: Consultancy; Seattle Genetics: Consultancy, Research Funding; Aileron: Research Funding; Kyowa Hakko Kirin: Consultancy; Trillium: Research Funding; Forty-Seven: Research Funding; Portola: Consultancy; Mundipharma: Consultancy. Advani:Regeneron: Research Funding; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead Sciences, Inc./Kite Pharma, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celmed: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Research Funding; Forty-Seven: Research Funding; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cell Medica, Ltd: Consultancy; Janssen: Research Funding; Merck: Research Funding; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity Pharma: Research Funding; Celgene: Research Funding; Kura: Research Funding; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa Kirin Pharmaceutical Developments, Inc.: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Autolus: Consultancy, Membership on an entity's Board of Directors or advisory committees; Stanford University: Employment, Equity Ownership; Seattle Genetics: Consultancy, Research Funding; Agensys: Research Funding. Domingo-Domenech:Roche: Other: Travel expenses; Seattle Genetics: Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses; Bristol-Myers Squibb: Other: Travel expenses. Rossi:Daiichi-Sankyo: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Mundipharma: Honoraria; BMS: Honoraria; Sandoz: Honoraria; Roche: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees. Morschhauser:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Gilead: Membership on an entity's Board of Directors or advisory committees; Epizyme: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Research Funding. Alpdogan:Seattle Genetics, Inc.: Research Funding. Tobinai:Meiji Seika: Honoraria; Takeda Pharmaceutical: Consultancy, Honoraria, Research Funding; Mundi Pharma: Consultancy, Honoraria, Research Funding; AbbVie: Research Funding; Chugai Pharmaceutical: Honoraria, Research Funding; Eisai: Honoraria, Research Funding; Kyowa Kirin: Honoraria, Research Funding; Verastem: Honoraria; Zenyaku Kogyo: Consultancy, Honoraria; Yakult: Honoraria; Bristol-Myers Squibb: Honoraria; HUYA Bioscience: Consultancy, Honoraria; Janssen Pharmaceutical: Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Solasia: Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Ono Pharmaceutical: Consultancy, Honoraria, Research Funding. Shustov:Seattle Genetics, Inc.: Research Funding. Trneny:Roche: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Gilea

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.274
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations16
Published2019
Admission routes1
Has abstractyes

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