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Record W4389231399 · doi:10.1182/blood-2023-180271

Gain1q in Myeloma Randomized Clinical Trials- How Is It Reported and How Does It Impact Outcomes: A Systematic Review

2023· review· en· W4389231399 on OpenAlexaff
Karun Neupane, Gliceida Galarza Fortuna, Riyasha Dahal, Timothy M. Schmidt, Rafaël Fonseca, Doug Sborov, Meera Mohan, Hira Mian, Rajshekhar Chakraborty, Ghulam Rehman Mohyuddin

Bibliographic record

VenueBlood · 2023
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineInternal medicineRandomized controlled trialPopulationClinical trialMultiple myelomaOncology

Abstract

fetched live from OpenAlex

Introduction: Extra copies of chromosome 1q21 (+1q: gain=3 copies, amp=4 or more copies) have been associated with worse outcomes for patients with multiple myeloma (MM). We performed a systematic review to evaluate current reporting of +1q, efficacy of existing regimens for +1q, and prognostic implications of +1q in MM randomized controlled trials (RCTs). Methods: We searched three databases for MM RCTs. Our inclusion criteria were all published MM RCTs from 2012-2022. Each MM RCT was analyzed for reported data on +1q. The following features specific to +1q were collected: +1q reported or not as a high-risk cytogenetic alteration, definition of gain1q with respect to percentage of cells with abnormality detected, documentation of distinction between Gain1q and Amp1q in analysis, prevalence of +1q in enrolled population, outcomes of patients [Overall Survival (OS) and Progression Free Survival (PFS)] in patients with +1q in the experimental versus control arm and in patients with and without +1q. Results: A total of 124 trials were included. Among these trials, 28 (23%) studies reported data on +1q, including 26 studies that reported data in the primary manuscript and two studies that reported in separate publication. These trials reported a total of 2692 patients with +1q which represented 25% of all the patients enrolled. Out of 28 trials, three trials (11%) specified the criteria for categorizing patients as +1q (example in IKEMA and IFM-99: the presence of at least three copies in at least 30% of analyzed plasma cells was required). Only four trials (14%) reported survival data on gain and amp separately and the remaining 24 (86%) studies reported for gain or did not specify gain vs amp. Amongst the trials that reported +1q, 22 (79%) considered this to be a high-risk cytogenetic abnormality. Amongst trials that met primary endpoint showing improvement in PFS and clearly reported on +1q, the following drugs also improved PFS for those with +1q (when comparing hazard ratio (HR) for intervention versus control arm in the +1q subgroup): lenalidomide (len) maintenance in Myeloma XI, selinexor in BOSTON, and isatuximab in IKEMA and ICARIA. Several trials met their endpoint and showed improvement in PFS in the +1q cohort in same direction as overall study results but had confidence intervals for +1q subgroup that crossed 1. These included addition of carfilzomib in Myeloma XI, addition of carfilzomib vs bortezomib to len and dex for +1q (but not in Amp1q) in ENDURANCE, addition of elotuzumab to pomalidomide and dex, and bortezomib-based treatment before and after autologous stem cell transplantation (auto-SCT) vs no bortezomib (Table 2). Seven studies reported HR for patients with +1q in the trial (across both arms) compared to those without. In six studies (all studies other than SWOG1211), worse outcomes were seen with respect to OS and PFS for those with +1q versus without (Table 2). Important interventions for which subgroup analysis of +1q was not presented in trial results, and hence conclusions about the efficacy of the drugs specifically for patients with +1q cannot be ascertained included pomalidomide and ixazomib. Although subgroup analysis of various daratumumab trials has shown improvement for high-risk MM, the effect on gain1q was not isolated. Two recent contemporary trials that isolated effect of auto-SCT (DETERMINATION and IFM-2009) did not report +1q. However, in FORTE Trial, adverse prognostic implications of +1q were not seen in the arm receiving carfilzomib, len, dex and auto-SCT, indicating a possible role of carfilzomib and auto-SCT in ameliorating the adverse prognostic implications of +1q. Although len maintenance improved PFS after auto-SCT as maintenance in Myeloma XI overall for those with +1q, it did not appear to improve PFS for patients with isolated +1q (with no other concurrent genetic abnormalities). Conclusion: This systematic review of MM RCTs finds considerable heterogeneity in the reporting of +1q abnormalities in the literature, and +1q to be inconsistently classified as a poor prognostic factor in subgroup analysis of randomized myeloma trials. Most interventions that have shown to be successful in randomized trials and have clearly reported on the +1q subgroup have shown concordant direction of results and benefit of the applied intervention in the +1q subgroup. A more standardized approach to reporting of this abnormality is needed.

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)0.051
metaresearch head score (Gemma)0.240
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.240
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0190.014
Bibliometrics0.0090.010
Science and technology studies0.0010.002
Scholarly communication0.0050.006
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.305
GPT teacher head0.529
Teacher spread0.224 · 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.

Study designSystematic review
DomainReporting
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

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