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Record W4379981722 · doi:10.1002/hon.3163_43

GOLIDOCITINIB IN TREATING REFRACTORY OR RELAPSED PERIPHERAL T‐CELL LYMPHOMA: PRIMARY ANALYSIS OF THE MULTINATIONAL PIVOTAL STUDY RESULTS (JACKPOT8)

2023· article· en· W4379981722 on OpenAlexaff
Woo Seok Kim, Qingqing Cai, Yuqin Song, Luis Malpica, Neha Mehta–Shah, Weili Zhao, Keshu Zhou, Jun Wu, Haiyang Zhang, Kaiyang Ding, YF Liu, Zhongxin Li, Liling Zhang, M. Zheng, Jie Jin, Haiyan Yang, Yu Shuang, Dok Hyun Yoon, Sujun Gao, Wanbin Li, Zhiwei Zhai, Liqun Zou, Yaming Xi, Youngil Koh, Fei Li, Hui Zhou, Lie Lin, H. Liu, Weiwei Yu, Jun Zhu

Bibliographic record

VenueHematological Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsMedicineInternal medicineDiscontinuationRefractory (planetary science)Clinical endpointGastroenterologyOncologySurgeryClinical trial

Abstract

fetched live from OpenAlex

Introduction: Currently there is no consensus on the treatment of relapsed/refractory (r/r) PTCL, and patient prognosis was poor. Golidocitinib is an orally available, JAK1-selective inhibitor currently being evaluated in a multinational, pivotal study in r/r PTCL (JACKPOT8 Part B, NCT04105010). Here we reported the primary analysis of efficacy and safety results of this study. Methods: PTCL patients who had relapsed from or had been refractory/intolerant to ≥1 (but ≤3) prior systemic therapy(ies) were enrolled to receive golidocitinib at 150 mg once daily until disease progression or pre-defined discontinuation criteria were met. The primary endpoint was CT-based objective response rate (ORR) assessed by an independent review committee (IRC) according to Lugano 2014 classification. The efficacy analysis set included patients whose pathological diagnosis of PTCL had been retrospectively confirmed by a central laboratory and who had at least one measurable lesions at baseline. The safety analysis set included all dosed patients. Results: As of 30 November 2022, a total of 104 patients with r/r PTCL were enrolled and dosed with golidocitinib. Baseline characteristics: median age was 58 yrs; 64.4% were male; 20.2% had baseline bone marrow involvement. Major subtypes included NOS (46.2%), AITL (15.4%) and ALCL (9.6%). The median prior lines of therapies were two. All of the patients had been treated with chemotherapies, and 48.1% had been treated with histone deacetylase inhibitors. By the data cut-off (DCO) date, a total of 80 patients had both IRC assessment and central pathology review results available, and thus were included in the efficacy analysis. Among them, 35 patients achieved tumor response (ORR = 43.8%), including 20 patients (25.0%) achieved complete responses. Tumor response was observed in various subtypes, including AITL (56.3%), NOS (45.7%), ALCL (11.1%) and others (44.4%). In patients who relapsed from HDAC inhibitor treatment, 54.8% achieved tumor response. With a median follow-up of 5.5 months for responders, the median duration of response (DoR) has not been reached. Golidocitinib was tolerated in patients with r/r PTCL. By the DCO date, the longest duration on treatment was 15.7 months (still responding). The most common ≥ grade 3 treatment-related adverse events (TRAEs) were hematological in nature, including neutrophil count decreased (26.0%), white blood cell count decreased (25.0%), platelet count decreased (16.3%) and lymphocyte count decreased (16.3%). TRAEs leading to dose interruption, reduction, and discontinuation were 37.5%, 5.8%, and 7.7%, respectively. The majority of TRAEs were reversible or clinically manageable. Conclusions: Golidocitinib demonstrated its potential as a novel targeted therapy for the treatment of r/r PTCL. The updated data will be presented at the conference. Encore Abstract—previously submitted to ASCO 2023 Keywords: aggressive T-cell non-Hodgkin lymphoma, molecular targeted therapies Conflicts of interests pertinent to the abstract W. Yu Employment or leadership position: Employed by Dizal Pharmaceutical

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.019
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.342
Teacher spread0.300 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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