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Rituximab Purging and Maintenance Improves Progression Free Survival but Not Overall Survival In Patients with Relapsed or Resistant Follicular Lymphoma Prior Receiving An Autologous Transplant

2010· article· en· W2560645318 on OpenAlexaff
Ruth Pettengell, Norbert Schmitz, Christian Gisselbrecht, Graeme Smith, W. N. Patton, Bernd Metzner, Dolores Caballero, Hervé Tilly, Jan Walewski, Isabelle Bence‐Bruckler, Bik To, Christian H. Geisler, Rik Schots, Eva Kimby, Christian Taverna, Tomáš Kozák, Ruzena Uddin, Carmen Ruiz de Elvira, Anthony H. Goldstone

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineFollicular lymphomaMaintenance therapyChemotherapyRituximabInternal medicineSurgeryProgression-free survivalChemotherapy regimenLymphomaTransplantationClinical endpointGastroenterologyAutologous stem-cell transplantationOncologyClinical trial

Abstract

fetched live from OpenAlex

Abstract Abstract 3567 Autologous transplantation significantly improves the progression free survival (PFS) and overall survival (OS) of patients with relapsed or resistant follicular (rFL) lymphoma compared with chemotherapy alone (Schouten H, et al. J Clin Oncol 2003;21:3918–27). Small phase II trials suggest, that rituximab (R) given peritransplant further improves survival outcome. Whilst the role of maintenance R post chemotherapy in FL is established, the benefit and safety of maintenance R following autologous transplant is unknown. In this randomised prospective study the efficacy and safety of R as in vivo purging pretransplant and as maintenance treatment immediately post transplant was assessed. From Oct 1999 to Apr 2006, 280 of a planned 420 R naïve patients with rFL in first (n=16), second (n= 222) or third remission (n=41) who achieved either a complete remission (n=83) or a very good partial remission (n=196) to induction chemotherapy, with limited bone marrow infiltration (<25% B-lymphocytes) underwent a single randomisation in a 2 × 2 design to R purging 375 mg/m2 weekly × 4 (RP) before high-dose therapy with BEAM conditioning (HDC) and maintenance R 375 mg/m2 every 3 months for 2 years (RM). The primary endpoint of the study was PFS. All analysis is by intention to treat. The median age was 51 years (range: 26–70), and baseline characteristics were well balanced between groups. On average patients were 44.1 (range 3.4–463.8) months from diagnosis with 79.3% having 2 lines of therapy and 15% three lines of prior therapy. Patients were equally distributed between low, intermediate and high FLIPI scores. Pretransplant 70% of patients were in PR and 30% in CR. Fifty seven patients failed to mobilise peripheral blood stem cells. Nineteen patients withdrew, 5 due to toxicity, 9 were ineligible. In the 196 (70%) patients transplanted, neutrophil engraftment > 0.5 × 109 /L was prompt, median 14.3 days (range 10–115) and platelets > 50 × 109/L,median 25.1 days (range 9–190). Time to engraftment and early or late toxicities did not differ significantly between the groups apart from a lower neutrophil count at 3 months in patients on maintenance. No graft failures or late neutropenia was reported. Transplant related mortality was 0.5%. Only 3 infection related deaths have been reported post 100 days. Two hundred and seventeen patients are alive on continued follow-up. Median follow-up is 6.4 years. PFS at 5 years was 62.9% for patients receiving RP + RM versus 37.6 % for patients receiving no R (logrank PFS; p=0.004; HR 0.76, 95%CI: 0.66 – 0.93). OS at 5 years was 79.5% % versus 78.4 % for patient receiving RP + RM versus no R (logrank PFS; p>0.1). Multivariate analysis was not able to define a high or low risk patient group. R in vivo purging and maintenance results in superior PFS compared to no R. R does not adversely affect peripheral blood stem cell harvesting or engraftment and maintenance R post transplant is safe. The impressive OS suggests that relapsed FL patients can be effectively salvaged post R purging and maintenance. R Purging + R Maintenance R Maintenance R Purging No R Pt number 69 69 72 70 Median PFS NR@ 6.4 y 7.23 y 4.03 y 3.34 y 5y PFS 62.9 % 56 % 46 % 37.6 % 5y OS 79.5 % 80.5 % 84.8 % 78.4 % Disclosures: Pettengell: Roche: Honoraria. Schmitz:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Gisselbrecht:Roche: Research Funding. Walewski:Roche: Honoraria, Research Funding. Geisler:Roche: Research Funding. Kimby:Roche: Honoraria, Research Funding. Goldstone:Roche: Honoraria, Speakers Bureau.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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 designNon-randomized 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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Citations4
Published2010
Admission routes1
Has abstractyes

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