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Record W2553187946 · doi:10.1182/blood.v118.21.278.278

Consistent Benefit of Ruxolitinib Over Placebo in Spleen Volume Reduction and Symptom Improvement Across Subgroups and Overall Survival Advantage: Results From COMFORT-I

2011· article· en· W2553187946 on OpenAlexaff
Srđan Verstovšek, Ruben A. Mesa, Jason Gotlib, Richard S. Levy, Vikas Gupta, John F. DiPersio, John Catalano, Michael W. Deininger, Carole B. Miller, Richard T. Silver, Moshe Talpaz, Elliott F. Winton, Jimmie H. Harvey, Murat O. Arcasoy, Elizabeth O. Hexner, Roger M. Lyons, Ronald Paquette, Azra Raza, Kris Vaddi, Sue Erickson-Viitanen, William Sun, Victor Sandor, Hagop M. Kantarjian

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsRuxolitinibMedicineMyelofibrosisPlaceboInternal medicineGastroenterologySurgeryBone marrowPathology

Abstract

fetched live from OpenAlex

Abstract Abstract 278 Background: Overactive JAK-STAT signaling as a result of gain-of-function mutations (eg, JAK2V617F) and/or high circulating levels of inflammatory cytokines is considered to play a key role in the pathogenesis of myeloproliferative neoplasms. Ruxolitinib, a selective oral inhibitor of JAK1 and JAK2, demonstrated a significant reduction in spleen volume (SV) and improvements in myelofibrosis (MF)-related symptoms in a double-blind placebo-controlled trial (COMFORT-I). The objective of this analysis was to evaluate the efficacy of ruxolitinib across patient (pt) subgroups in COMFORT-I. Methods: Pts with MF were randomized to start placebo or ruxolitinib at a dose of 15 mg or 20 mg PO BID depending on baseline platelet count (100–200 ×109/L or >200 ×109/L, respectively). The dose was optimized for efficacy and safety during treatment. SV change was measured by MRI; MF symptoms were assessed using a daily diary (modified Myelofibrosis Symptom Assessment Form [MFSAF] v2.0) over 1 wk prior to dosing and throughout the 24 wks of dosing. The percent changes from baseline to wk 24 in SV and MFSAF Total Symptom Score (TSS, a measure of combined scores for abdominal discomfort, pain under ribs on left side, early satiety, itching, night sweats, and bone/muscle pain) were compared for ruxolitinib and placebo pts across the following subgroups: MF disease subtype, age, International Prognosis Scoring System (IPSS) risk group, presence/absence of JAK2V617F mutation, baseline hemoglobin, baseline spleen size (palpable spleen length), and baseline TSS. Survival was estimated by Kaplan-Meier method. Changes in SV and TSS Across Subgroups: 309 pts were randomized: 155 to ruxolitinib and 154 to placebo. Ruxolitinib demonstrated consistent benefit compared with placebo in both SV and TSS across all subgroups evaluated (Table). The impact of symptom severity on response was evaluated by baseline TSS quartiles (maximum score for TSS = 60). Ruxolitinib pts with baseline TSS of <8.5, 8.5-<16.5, 16.5-<25.5 and ≥25.5 had mean percent changes in SV of −28.0, −31.4, −31.7 and −34.8, respectively, vs +8.1 for all placebo pts combined. The mean percent change in TSS for these same subgroups was −40.5, −47.2, −48.1 and −48.2 vs +41.8 for all placebo pts combined. These data indicate that pts with modest to marked symptoms all benefit from ruxolitinib therapy in terms of both SV and TSS. Survival Analysis: 13 ruxolitinib and 24 placebo pts died during the study or during extended follow-up (median follow-up of 52 and 51 wks, respectively), representing a hazard ratio (95% CI) of 0.499 (0.254, 0.98) (p=0.0395). For ruxolitinib- and placebo-treated pts, respectively, the probability of survival (95% CI) >48 wks was 0.98 (0.92, 0.99) and 0.90 (0.81, 0.95) for pts with baseline hemoglobin values ≥10 g/dL and 0.84 (0.72, 0.91) and 0.77 (0.63, 0.86) for pts with baseline hemoglobin <10 g/dL. Conclusions: Pts receiving ruxolitinib had higher response rates than placebo based on reductions in SV and improvements in TSS at wk 24 regardless of baseline subgroup: MF disease subtype, age (≤65 or >65 y), IPSS risk group (intermediate-2 or high-risk), presence or absence of JAK2V617F mutation, hemoglobin level (≥10 g/dL or <10 g/dL), palpable spleen length (≤10 cm or >10 cm), and symptom severity (TSS quartile). In addition, the overall survival analysis suggested a benefit with ruxolitinib therapy over placebo. Disclosures: Verstovsek: Incyte: Research Funding. Mesa:Incyte: Research Funding; Lilly: Research Funding; SBio: Research Funding; Astra Zeneca: Research Funding; NS Pharma: Research Funding; Celgene: Research Funding. Gotlib:Incyte: Consultancy, Research Funding. Levy:Incyte: Employment, Equity Ownership. Gupta:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Catalano:Incyte: Honoraria; Novartis: Honoraria. Deininger:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding. Miller:Incyte: Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau. Winton:Incyte: Consultancy. Arcasoy:Incyte: Research Funding. Lyons:Alexion: Consultancy, Honoraria; Telik: Research Funding; Incyte: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Novartis: Research Funding. Vaddi:Incyte: Employment. Erickson-Viitanen:Incyte: Employment. Sun:Incyte: Employment. Sandor:Incyte: Employment. Kantarjian:Incyte: Research Funding; Novartis: Consultancy, 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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.266
Teacher spread0.243 · 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 designRandomized 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

Citations23
Published2011
Admission routes1
Has abstractyes

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