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Record W2568959487 · doi:10.1182/blood.v110.11.953.953

p53 Deletion Yields High Response Rates but Rapid Progression and Poor Overall Survival in Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation.

2007· article· en· W2568959487 on OpenAlexaff
Joseph Mıkhael, J. Wendell Goodwin, Xiaoying Qi, Wei Xu, Keith Stewart, Donna Reece, Christine Chen, Suzanne Trudel, Vishal Kukreti, Hong Chang

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineAutologous stem-cell transplantationMultiple myelomaInternal medicineTransplantationSurgeryChemotherapyStem cellOncologyBortezomibProgression-free survivalPlasma cell leukemiaGastroenterologyBiology

Abstract

fetched live from OpenAlex

Abstract Background: The p53 deletion has been documented to confer poor prognosis in patients with multiple myeloma (MM) treated with either conventional chemotherapy or autologous stem cell transplant (ASCT). However, it is not clear whether primary drug resistance and/or rapid relapse account for these adverse outcomes. Objective: Evaluate the impact of the p53 deletion in patients who have undergone ASCT for MM on baseline features, response to initial therapy, progression free survival and overall survival post ASCT. Method: Retrospective review of all patients undergoing ASCT for MM at our institution from January 2000 to July 2007. Results: 31 patients with the p53 deletion intended for ASCT were identified. Four patients did not undergo transplant: 2 patients had plasma cell leukemia (PCL) and died within 4 months of diagnosis, 1 patient had primary refractory disease to all therapy and died in 1 year, and 1 patient’s stem cells could not be collected. The 28 who underwent transplant had a median age of 52 (range 30–76) and 20 (78%) were male. Immunoglobulin subtype was IgG in 14 (52%), light chain in 10 (36%), IgA in 1 (4%), IgD in 1 (4%) and non secretory in 1 (4%). 23 pts (85%) had bony disease. ISS stage was as follows: 13 (52%) stage I, 6 (24%) stage II, and 6 (24%) stage III. Seven patients presented with PCL. All patients were treated with dexamethasone based induction chemotherapy (alone or VAD), with 6 patients also receiving thalidomide. Pre-transplant status after induction therapy was 0 CR, 22 PR (92%), 1 MR (4%) and 1 SD (4%). All patients were conditioned with high dose melphalan 140–200mg/m2. There was one patient who died within 100 days of transplant. Overall responses after completion of ASCT, compared with diagnosis, in evaluable pts (n=22) included 1 CR (5%), 19 PR (86%), 2 MR (9%). Median progression free survival (PFS) for this cohort was 16.9 months (95%CI 9.1–22.3) and median overall survival (OS) was 48.2 months (95%CI 11.3–67.2) post transplant. This is considerably shorter when compared to the full cohort of MM pts transplanted at our institution during the same timeframe (n= 706): median PFS 24.4 months and median OS 76.6 months post transplant. Conclusions: Patients with the p53 deletion have a high incidence of plasma cell leukemia (29%), but most respond well to induction therapy and ASCT. However, the duration of response is short (16.9 months), nearly 8 months less than our overall results with ASCT. Furthermore, median overall survival post transplant is only 4 years, over 2 years shorter than the median of 6.4 years observed in all ASCT patients. ASCT is less effective therapy in patients with this poor prognostic marker; development of novel therapeutic regimens, including targeting p53 dysregulation pathway, may be required to improve the clinical outcome in this subset of MM.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

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