Outcome of salvage therapy for relapsed or refractory peripheral T-cell lymphoma (PTCL), anaplastic large cell lymphoma (ALCL), and diffuse large B-cell lymphoma (DLBCL)
Bibliographic record
Abstract
6544 Background: Compared to patients with ALCL and DLBCL, PTCL patients have a lower response and higher relapse rate following anthracycline-based chemotherapy. However, in the case of relapsed or primary refractory disease, it is unclear if response to salvage treatment and survival are similarly inferior. Methods: Between 01/01/1995 and 12/30/2004, 45 patients with PTCL, 21 with ALCL, and 171 with DLBCL were referred to our institution for consideration of ASCT. The majority of patients (70%) received a platinum-based salvage regimen. Responding patients then received high-dose etoposide and melphalan followed by autologous stem cell transplant (ASCT). Results: The three groups were similar in age (median 53, range: 19–66), but PTCL patients had more advanced stage disease (III or IV) at salvage than ALCL and DLBCL (71 vs. 61 vs. 48%, p=0.03). Response rates to salvage chemotherapy were similar: 53% for PTCL, 57% for ALCL, and 53% for DLBCL (p=0.94). For T-cell (PTCL and ALCL) patients, there was a trend to better response if a platinum-based regimen was given (61 vs. 35%, p=0.06). Post-transplant, 9/21 PTCL, 3/11 ALCL, and 41/88 DLBCL patients relapsed (43 vs. 27 vs. 46%, p=0.47). Two-year event-free survival (EFS) rates were 28% (95% CI: 14–42%) for PTCL, 45% (23–67%) for ALCL, and 45% (37–53%) for DLBCL (p=0.068). Event-free and overall survival for all patients, and for those who proceeded to ASCT, are shown in the table . Conclusions: Two-year EFS is inferior for patients with relapsed/refractory PTCL treated with the intention of proceeding to ASCT, compared to ALCL and DLBCL, as is 2-year OS rate. However, PTCL patients had similar response to primarily platinum-based salvage chemotherapy, and achieved similar outcome post-ASCT. These findings suggest that strategies to improve the outcome of PTCL patients may include changes to first-line treatment and salvage regimens. [Table: see text] No significant financial relationships to disclose.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".