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CLARITY-Gastric 01: A randomized phase 3 study of AZD0901, a Claudin18.2 (CLDN18.2)-targeted antibody-drug conjugate, in second- or later-line (2L+) advanced gastric or gastroesophageal junction cancer (GC/GEJC).

2025· article· en· W4406870189 on OpenAlexaff
Yelena Y. Janjigian, Kohei Shitara, Elena Elimova, Jun Zhang, Ming Huang Chen, Elizabeth Catherine Smyth, Jeeyun Lee, Rui Miao, S. Liu, Marielle Holmblad, Rui‐Hua Xu

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineCancerGastroesophageal JunctionConjugateDrugGemcitabineInternal medicinePharmacologyAdenocarcinoma

Abstract

fetched live from OpenAlex

TPS507 Background: GC/GEJC is the fifth most commonly diagnosed cancer and the fourth leading cause of cancer-related death worldwide (Sung H, et al. CA Cancer J Clin 2021). Prognosis is poor in GC/GEJC; median overall survival (OS) is less than 10 months in the 2L setting and less than 6 months in the 3L+ setting (Wilke H, et al. Lancet Oncol 2014; Shitara K, et al. Lancet Oncol 2018). New treatment options are needed. CLDN18.2 has emerged as a new therapeutic target in GC/GEJC. AZD0901, a potential first-in-class CLDN18.2-targeted antibody conjugated to monomethyl auristatin E via a protease cleavable linker, has demonstrated clinical activity in a Phase 1 study in advanced GC/GEJC (Xu R-H, et al, J Clin Oncol 2023). CLARITY-Gastric 01 (NCT06346392) is a randomized, open-label, sponsor-blinded, global Phase 3 study that will assess the efficacy and safety of AZD0901 versus investigator’s (INV) choice of therapy after ≥1 prior therapy for advanced GC/GEJC expressing CLDN18.2. Methods: Participants (pts) will be randomized 1:1:1 to AZD0901 dose level 1 intravenous (IV) every three weeks (Q3W; Arm 1), AZD0901 dose level 2 IV Q3W (Arm 2), or INV choice of therapy (2L: ramucirumab [ram] + paclitaxel [PTX], PTX, or docetaxel [for pts with contraindication to ram only]; 3L+: irinotecan, TAS-102 [excluding China], or apatinib [China only]; Arm 3). One AZD0901 arm (Arm 1 or Arm 2) will stop enrollment after a pre-planned dose selection decision. Randomization will continue in a 1:1 ratio to the two remaining arms (selected AZD0901 dose arm and Arm 3). Eligible pts must have histologically confirmed, unresectable, locally advanced or metastatic GC/GEJC (non-HER2+, CLDN18.2 expression). Pts must have disease progression on/after ≥1 prior regimen (including platinum-fluoropyrimidine) and have an ECOG performance status of 0 or 1. Pts previously treated with CLDN18.2-targeting therapy (other than naked monoclonal antibody) are excluded. Recruitment has begun and pts are planned to be enrolled across 16 countries in Asia, Europe, and North America. Dual primary endpoints are progression-free survival (PFS; intent-to-treat [ITT] pts) and OS (3L+ pts). The secondary endpoints include OS (ITT pts), PFS (3L+ pts), objective response rate and duration of response (ITT and 3L+ pts), and safety/tolerability. Efficacy data will be summarized and analyzed in the ITT population. All efficacy endpoints will assess the selected AZD0901 dose arm versus Arm 3. Safety and tolerability will be assessed in all pts who receive ≥1 dose of study treatment. Previously presented at European Society for Medical Oncology - Gastrointestinal Cancers Congress 2024, Final Publication Number: 495TiP, Kohei Shitara et al. Reused with permission. Clinical trial information: NCT06346392 .

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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.066
GPT teacher head0.472
Teacher spread0.406 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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