The Use Of GDP (Gemcitabine, Dexamethasone and Cisplatin) in The Primary Therapy Of Peripheral T-Cell Lymphomas
Bibliographic record
Abstract
Abstract Introduction The outcome of peripheral T-cell lymphomas (PTCLs) is poor using standard CHOP chemotherapy. Previous studies have shown good single agent activity of gemcitabine in the relapsed/refractory setting. GDP (gemcitabine, dexamethasone and cisplatin) was developed as a secondary chemotherapy regimen in relapsed aggressive lymphomas and in a comparison to DHAP has recently been shown to have equivalent efficacy, a favourable side effect profile, and it can be delivered in the outpatient setting. At the BC Cancer Agency, GDP has recently been integrated into the primary therapy of patients with PTCLs in an attempt to improve outcomes with CHOP chemotherapy in this poor risk population. Methods The BC Cancer Agency Centre for Lymphoid Cancer and pharmacy databases were searched to identify all cases of newly diagnosed PTCLs with diagnoses by the WHO classification, (with the exception of ALK-positive ALCL, extranodal NK/T-cell lymphoma, cutaneous T-cell lymphoma and hepatosplenic t-cell lymphoma) that received at least one cycle of GDP chemotherapy integrated into their primary therapy, typically alternating with CHOP. Results In total, 34 patients received GDP as part of their first-line treatment (PTCL-NOS n=19, ALK-neg ALCL n=10, enteropathy-type TCL n=2, angioimmunoblastic T-cell lymphoma n=3) in addition to CHOP chemotherapy. The median age was 58 years, 65% were male and the majority of patients had high risk features including stage 3 or 4 disease (94%), elevated LDH (62%). high IPI score (>3 65%; >2 82%) and 32% had bone marrow involvement. The median number of cycles of GDP was 3 (1-8). Two patients underwent consolidative treatment with high dose chemotherapy and autologous stem cell transplantation in first remission and two patients received consolidative radiotherapy. The overall response rate at the end of primary chemotherapy was 82% (CR 62%). With a median follow-up in living patients of 2.8 years the 1- and 2-year time to progression (TTP) were 50% and 36%, respectively and the corresponding estimates for OS were 78% and 64%. Interestingly, the IPI was not prognostic (2 y TTP IPI 0,1 42%, 2,3 34%%, 4,5 37.5% p=.87) even if the 2 patients undergoing transplant are excluded. GDP was generally well tolerated and only 2 patients discontinued treatment due to toxicity (renal dysfunction/hearing loss and rash) and there were no treatment-related deaths. Two patients were hospitalized for febrile neutropenia following GDP and 9 patients (26%) required GCSF support through their therapy. Conclusion The use of GDP in the primary treatment of PTCL is associated with a high response rate. Outcomes in high IPI patients compare favourably with historical results using CHOP chemotherapy and suggest that it may be able to overcome disease resistance in this poor risk group, providing rationale to explore it in further in future clinical trials of PTCLs. Disclosures: Connors: F Hoffmann-La Roche: Research Funding; Roche Canada: Research Funding. Savage:Eli-Lilly: Consultancy.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".