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waveLINE-010: Zilovertamab vedotin plus R-CHP versus R-CHOP in untreated diffuse large B-cell lymphoma.

2025· article· en· W4410803346 on OpenAlexaboutno aff
Russell Gollard, Jessica Flynn, Nishitha Reddy, Rushdia Z. Yusuf, Anas Al-Janadi

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCHOPLymphomaDiffuse large B-cell lymphomaInternal medicineOncologyNuclear medicine

Abstract

fetched live from OpenAlex

TPS7092 Background: Despite recent advances in the treatment of diffuse large B-cell lymphoma (DLBCL), 5-year survival rates range between 60% and 80%. Modest improvements have been made over standard-of-care with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) immunochemotherapy being used in the first-line setting. Zilovertamab vedotin, an ROR1-targeting antibody-drug conjugate with a monomethyl auristatin E payload, has demonstrated promising efficacy in patients with DLBCL. The randomized, open-label, phase III waveLINE-010 (NCT06717347) study will evaluate the efficacy and safety of zilovertamab vedotin in combination with rituximab plus cyclophosphamide, vincristine, and prednisone (R-CHP) versus R-CHOP in patients with untreated DLBCL. Methods: Eligible participants are aged ≥18 years and have histologically confirmed DLBCL per World Health Organization classification of neoplasms of the hematopoietic and lymphoid tissues (including but not limited to: DLBCL, not otherwise specified [NOS] germinal center B-cell type, or activated B-cell type; DLBCL leg-type; Epstein-Barr virus–positive DLBCL, NOS; and T-cell histiocytic-rich DLBCL), positron emission tomography–positive disease at screening (4-5 on the Lugano 5-point scale), no prior treatment for DLBCL, an International Prognostic Index (IPI) score of 2-5, and an ECOG performance status score of 0-2. Approximately 1046 patients will be randomly assigned (1:1) to receive zilovertamab vedotin 1.75 mg/kg plus R-CHP on day 1 of every 3-week cycle for 6 cycles, or R-CHOP on day 1 of every 3-week cycle for 6 cycles. Patients with high-risk DLBCL in both treatment arms will receive rituximab (or biosimilar) for an additional 2 cycles. Randomization will be stratified by 3 geographic regions (Western Europe, the United States, Canada, and Australia vs Asia vs rest of world), IPI score (2 vs 3-5), and bulk (<7.5 cm vs ≥7.5 cm). The primary end point is PFS per Lugano criteria by blinded independent central review (BICR). Secondary end points include complete response rate at end of treatment (EOT) per Lugano criteria by BICR, overall survival, event-free survival per Lugano criteria by BICR, duration of complete response, safety and tolerability, and changes from baseline in health-related quality-of-life assessments. Response assessments will be performed after day 1 of cycle 4 but before day 1 of cycle 5, and then at 12 weeks after cycle 4 scan (EOT assessment). Efficacy follow-up assessments will be completed every 24 weeks for 2 years from EOT assessment, then every year for 3 years (total of 5 years). Adverse events will be graded per NCI CTCAE v5.0. Recruitment is ongoing. Clinical trial information: NCT06717347 .

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.074
GPT teacher head0.448
Teacher spread0.373 · 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 designNon-randomized 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

Citations1
Published2025
Admission routes1
Has abstractyes

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