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Record W2785579624 · doi:10.1182/blood.v116.21.113.113

Gemcitabine, Dexamethasone, and Cisplatin (GDP) Is An Effective and Well-Tolerated out-Patient Salvage Therapy for Relapsed/Refractory Diffuse Large B-Cell Lymphoma (DLBCL) and Hodgkin Lymphoma (HL)

2010· article· en· W2785579624 on OpenAlexaffabout
Alden A. Moccia, Felicitas Hitz, Paul Hoskins, Richard Klasa, Maryse Power, Kerry J. Savage, Tamara Shenkier, John D. Shepherd, Brian Skinnider, Graham W. Slack, Kevin Song, Randy D. Gascoyne, Joseph M. Connors, Laurie H. Sehn

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsVancouver General HospitalBC Cancer Agency
Fundersnot available
KeywordsGemcitabineSalvage therapyMedicineInternal medicineRegimenOncologyDexamethasoneRefractory (planetary science)Chemotherapy regimenDiffuse large B-cell lymphomaTransplantationSurgeryChemotherapyGastroenterology

Abstract

fetched live from OpenAlex

Abstract Abstract 113 Introduction: DLBCL and HL represent highly curable lymphoid malignancies. Patients (pts) whose lymphoma is refractory to or relapses following initial therapy pose a significant therapeutic challenge. The goal of therapy is to proceed to a non-cross-resistant salvage regimen followed by high dose chemotherapy (HDC) and stem cell transplantation (SCT) for transplant eligible pts. The optimal choice of salvage therapy remains unknown. The combination of gemcitabine, dexamethasone and cisplatin (GDP) has been shown in phase II studies to induce high response rates with minimal toxicity (Baetz T, Ann Oncol, 2003; Crump M, Cancer, 2004). Based on these promising results, British Columbia Cancer Agency (BCCA) policy has recommended GDP as the preferred salvage regimen for pts with relapsed/refractory DLBCL and HL since 2002. Patients and Methods: We conducted a retrospective analysis using the BCCA Lymphoid Cancer Database and included all pts with relapsed/refractory DLBCL and HL who received GDP as salvage therapy between September 2002 and June 2010. Pts were treated with gemcitabine 1000 mg/m2 IV day 1,8; dexamethasone 40 mg PO days 1–4 and cisplatin 75 mg/m2 IV day 1, administered at 3 week intervals (2-3 cycles for transplant eligible patients and up to 6 cycles for non-transplant candidates). Primary endpoints were response rate, PFS (defined as the interval from the beginning of GDP to first progression, relapse or death from any cause) and OS. Results: 235 pts treated with GDP were identified; 152 and 83 pts with relapsed/refractory DLBCL and HL, respectively. Clinical characteristics at time of diagnosis for patients with DLBCL were: 68% male, 65% stage III/IV, 42% bulky disease ≥ 10 cm, 43% B-symptoms, 59% IPI 0–2, 41% IPI 3–5. Median age at time of GDP was 57 y (range 20–79 y). 57 pts (37%) had primary refractory disease to first-line R-CHOP; 144 (95%) were treated with GDP at first relapse/progression; median time from diagnosis to relapse after R-CHOP (excluding primary refractory pts) was 21 m (range 7–139 m). 30 pts (20%) received rituximab with GDP. Detailed radiologic response assessment following GDP(+/−R) was available for 82% pts with response rates as follows: 16% CR/CRu, 33% PR, 17% SD, 34% PD. 9 pts (6%) underwent HDC followed by allogeneic SCT and 57 pts (38%) underwent HDC followed by autologous SCT. With median follow-up of 24 m from start of GDP (range 0–84 m), 51 pts (34%) were alive and 101 pts (66%) have died (99 from lymphoma, 1 treatment toxicity during allogeneic SCT, 1 unrelated cause). 2-y PFS and OS were 21% and 28%, respectively. The 2-y PFS and OS for the subset of patients who underwent HDC/SCT were 36% and 47%, respectively. Clinical characteristics at diagnosis for the 83 pts with relapsed/refractory HL were: 55% male, 59% stage III/IV, 39% bulky disease ≥ 10 cm, 55% B-symptoms, 80% nodular sclerosis, 4% mixed cellularity, 2% nodular lymphocyte predominant, 2% lymphocyte depleted and 12% HL NOS. IPS variables were retrievable on 66% patients: 82% IPS ≤ 3 and 18% IPS ≥ 4. Median age at time of GDP was 31 y (range 17–73 y). 30 pts (36%) had primary refractory HL and 73 (88%) received GDP at first relapse/progression. Median time from diagnosis to relapse following ABVD-like therapy (excluding primary refractory pts) was 20 m (range 9–186 m). Detailed radiologic response assessment following GDP was available in 67% pts with response rates as follows: 7% CR/CRu, 64% PR, 13% SD, 16% PD. In total, 1 pt underwent HDC followed by allogeneic SCT and 69 pts (83%) proceeded to HDC and autologous SCT. With a median follow-up of 30 m from start of GDP (range 0–86 m), 70 pts (84%) were alive and 13 (16%) have died (all from HL). 2-y PFS and OS were 58% and 85%, respectively, and for the subset of pts who underwent HDC/SCT were 57% and 86%, respectively. Hospitalization rates due to complications during GDP were higher in patients with DLBCL than HL (20% vs 7%), likely reflecting differences in age and co-morbidities between the 2 cohorts. No failures of stem cell mobilization were recorded and the only toxic death was a consequence of HDC and allogeneic SCT. Conclusions: GDP is an effective and well-tolerated out-patient salvage regimen for relapsed/refractory DLBCL and HL. Outcomes appear to be comparable to those reported with more aggressive regimens. Results from an ongoing Canadian prospective trial comparing R-GDP to R-DHAP will help clarify the role of GDP in the treatment of relapsed/refractory DLBCL. Disclosures: Connors: Hoffmann-La Roche: 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 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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.244
Teacher spread0.236 · 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".

Quick stats

Citations3
Published2010
Admission routes2
Has abstractyes

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