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A phase I/II dose escalation and expansion trial to evaluate safety and preliminary efficacy of BNT141 in patients with claudin-18.2-positive solid tumors.

2023· article· en· W4379283222 on OpenAlexaffabout
Kyriakos P. Papadopoulos, Mustapha Tehfé, Albiruni Ryan Abdul Razak, Shubham Pant, Vincent Chung, Drew Rasco, Rahima Jamal, Jason Willis, Jesús Fuentes‐Antrás, Kerstin Brettschneider, Alexandra Zamorski, Hayat Bähr-Mahmud, Secil Koseoglu, Philip K Chang, Claudia Lindemann, Anna Melissa Schlitter, Rita Mágenheim, Leticia De Mattos‐Arruda, Özlem Türeci, Uğur Şahin

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicBarrier Structure and Function Studies
Canadian institutionsPrincess Margaret Cancer CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineGemcitabineTolerabilityRadioimmunotherapyAntibodyInternal medicineChemotherapyAdverse effectImmunologyMonoclonal antibody

Abstract

fetched live from OpenAlex

TPS2670 Background: Claudin-18.2 (CLDN18.2), whose expression is normally restricted to short-lived gastric epithelial cells, is ectopically expressed in tumors with unmet needs such as gastric, gastroesophageal junction (GEJ), pancreatic, ovarian, and biliary tract tumors. CLDN18.2 has thus emerged as a promising target for therapeutic antibody development. BNT141 is a novel RNA-based therapeutic that comprises two pseudouridine-modified mRNAs encapsulated in lipid nanoparticles. Upon intravenous injection, BNT141 is preferentially taken up by the liver where RNAs are translated and released into the circulation as fully assembled anti-CLDN18.2 antibodies. The resulting antibody is sequence identical to IMAB362, a CLDN18.2-targeted antibody that provided clinical benefit as an add-on to chemotherapy in the Phase III SPOTLIGHT trial (Shitara et al. J Clin Oncol. 2023). RNA-encoded antibodies can be developed more rapidly compared with recombinant antibodies and have the potential for favorable PK/PD properties and improved tolerability. Methods: This is a Phase I/II, open-label, multisite, dose escalation and expansion trial to examine safety, efficacy, and PK/PD of BNT141 in patients with CLDN18.2+ tumors (NCT04683939). The trial comprises 3 parts: dose escalation with BNT141 as monotherapy, dose escalation with BNT141 in combination with nab-paclitaxel and gemcitabine, and dose expansion. For monotherapy dose escalation, patients with CLDN18.2+ gastric, GEJ, pancreatic, mucinous ovarian, and biliary tract cancers who have exhausted or are ineligible for the current standard of care are eligible. CLDN18.2 positivity is defined as intermediate/strong staining intensity in ≥50% of tumor cells evaluated using a validated immunohistochemistry assay. Doses of BNT141 are escalated in up to 8 planned dose levels (DLs) until the maximum tolerated dose (MTD) is reached. For combination dose escalation, patients with advanced CLDN18.2+ pancreatic adenocarcinoma or cholangiocarcinoma who are eligible for treatment with nab-paclitaxel/gemcitabine will be included. Combination therapy will start at the first safe DL where the target antibody concentration is reached during monotherapy. Combination dose escalation will continue in parallel with the monotherapy part and will define the recommended Phase II dose (RP2D). For both parts, up to 10 additional patients may be enrolled at the MTD level to collect further safety and PK/PD data. For dose expansion, 2 cohorts of patients with CLDN18.2+ pancreatic adenocarcinoma or cholangiocarcinoma will receive combination therapy (nab-paclitaxel/gemcitabine) together with BNT141 at the defined RP2D. The study was initiated in January 2022 and recruitment is ongoing in the USA and Canada. Sites in Spain, Portugal, Germany, Denmark, Netherlands and the UK will be opened in 2023. Clinical trial information: NCT04683939 .

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.111
GPT teacher head0.457
Teacher spread0.346 · 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 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

Citations13
Published2023
Admission routes2
Has abstractyes

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