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The Addition of Rituximab and/or Alpha-Interferon to High Dose Chemotherapy and Autologous Stem Cell Transplantation for Patients with Relapsed Follicular Lymphoma Produces Durable Progression Free Survival and Molecular Remissions

2010· article· en· W2587629215 on OpenAlexaff
Sita Bhella, Neil L. Berinstein, Nancy Pennell, Matthew C. Cheung, Kevin Imrie, Violet Miliken, Marciano D. Reis, Alden Chesney, David Good, Lisa K. Hicks, Eugenia Piliotis, Michael Crump, Rena Buckstein

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreSt. Michael's HospitalUniversity of TorontoUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineAutologous stem-cell transplantationFollicular lymphomaInternal medicineOncologyTransplantationRituximabMinimal residual diseaseChemotherapySurgeryGastroenterologyLymphomaLeukemia

Abstract

fetched live from OpenAlex

Abstract Abstract 1357 Introduction: High dose chemotherapy (HDT) with autologous stem cell transplantation (ASCT) is historically effective treatment for patients with relapsed follicular lymphoma (FL) but relapse is common possibly due to contaminated stem cell grafts or inadequate eradication of primary disease. The addition of immunotherapy to HDT/ASCT may augment “in vivo” graft purging and achieve more effective eradication of minimal residual disease (MRD) post ASCT. This may lead to improved PFS and OS. Methods: We conducted 3 sequential prospective phase 2 trials of HDT/ASCT combined with immunotherapy in patients with relapsed FL from 1997–2010. Protocol 1 (n=13) used a-interferon 3 MU/m2 SC TIW for 2 years post ASCT. Protocol 2 (n=23) used a single infusion of rituximab (R) 375 mg/m2 for ‘in vivo’ purging 3–5 days pre-stem cell collection and 2 sets of 4 weekly R at 2 and 6 months post ASCT respectively. Protocol 3 (n=32) used 3 infusions of R 375 mg/m2 pre stem cell collection, followed by a-interferon 3 MU/m2 SC TIW × 2 years + R 375mg/m2 × 6 weekly infusions post ASCT. Eligibility included adult patients age 18–65 with stage III or IV follicular lymphoma grades 1–3a in first or second relapse. Salvage chemotherapy was either CHOP or DHAP depending on prior anthracycline exposure. High dose therapy was cyclophosphamide, carmustine, and etoposide (CBV). Minimal residual disease (MRD) assessment of t(14; 18) by quantitative PCR was serially performed in blood, PBSC and marrow. Studies were REB approved and all patients gave informed consent. Results: Sixty-eight patients from the 3 trials are included. Median age at study enrolment was 47 (30-71) and patients were a median of 31 mo (9-197) from diagnosis. 54% were male. Median FLIPI score was 2. Median # of prior chemotherapies was 1. Median number of cycles of salvage chemotherapy was 4 (2 - 10). 63 patients proceeded to ASCT. 5 patients were not transplanted either do to disease progression (2), or failed stem cell mobilization (3). Baseline characteristics of the patients enrolled in the three trials were similar, with the exception of rituximab(R) exposure in 22% of the patients in Protocol 3. 4 (6%) patients were lost to follow up. Median time to death or last follow was 84.5 mo (7-166). 32 patients (47%) relapsed and 20 (29%) have died. Median follow up times for each trial were 116, 99 and 57 mo. Actuarial median OS for Protocol 1 was 136 mo from enrolment and has not yet been reached for Protocols 2 and 3. Actuarial median PFS for Protocols 1 and 3 are 49 and 78 mo respectively and has not yet been reached for Protocol 2. MRD assessment by PCR was collected on 48 patients. Compared with study 1, the increased use of R pre SC collection improved in vivo purging by 2 logs. In Protocols 1 and 2, most still had detectable disease in the graft to a sensitivity of 1 cell/100,000. In Protocol 3, 56% had MRD negative apheresis products. 91% of 46 evaluable patients achieved molecular remission post stem cell transplant. Thirteen patients (19%) developed secondary malignancies post ASCT with a median time to malignancy of 88.5 mo (39-144). 1 patient developed 2 distinct malignancies. Secondary malignancies present were: MDS (4), AML (1), ALL (1), basal cell carcinoma (2), squamous cell carcinoma (3), thyroid cancer (1), non small cell lung cancer (1) and adenocarcinoma of unknown origin (1). Five (7%) patients transformed to DLBCL, with a median time to transformation post ASCT of 43.5 mo (17-142). The majority of patients who received rituximab immunotherapy pre and post ASCT developed persistent hypogammaglobulinemia. 17 patients (26%) developed interstitial pneumonitis or >2 respiratory complications post rituximab. 4 patients (6%) require monthly IVIG to treat recurrent respiratory infections. 10 patients (15%) developed herpes zoster <90 days post ASCT. 15% and 30% of patients in Protocols 1 and 3 did not complete the 2 years of alpha-IFN post ASCT secondary to one or more of depression, fatigue or cytopenias. Conclusion: HDT + ASCT combined with R +/− a-IFN produces durable PFS and molecular remissions but is associated with prolonged hypogammaglobulinemia and higher rates of interstitial pneumonitis. Three infusions of R pre SC collection achieve higher rates of molecular remission. Compliance with 2 years of a-IFN added to R post ASCT is poor and may not add clinical benefits to R alone. The additional role of HDT/ASCT in the era of R-chemotherapy for FL needs to be explored. Disclosures: No relevant conflicts of interest to declare.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.005
GPT teacher head0.227
Teacher spread0.221 · 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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Citations1
Published2010
Admission routes1
Has abstractyes

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