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Safety and preliminary clinical activity of JNJ-63898081 (JNJ-081), a PSMA and CD3 bispecific antibody, for the treatment of metastatic castrate-resistant prostate cancer (mCRPC).

2022· article· en· W4213025187 on OpenAlexaff
Emerson A. Lim, Michael T. Schweizer, Kim N., Rahul Aggarwal, Neeraj Agarwal, James L. Gulley, Edward F. Attiyeh, James Greger, Shujian Wu, Pharavee Jaiprasart, John T. Loffredo, Nibedita Bandyopadhyay, Hong Xie, Aaron R. Hansen

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of British ColumbiaBC Cancer Agency
FundersJanssen Research and Development
KeywordsMedicineEnzalutamideProstate cancerInternal medicinePharmacokineticsPharmacodynamicsCancerOncologyPharmacologyUrologyGastroenterologyAndrogen receptor

Abstract

fetched live from OpenAlex

279 Background: PSMA expression is increased in response to anti-androgen therapies and is a promising therapeutic target for the treatment of prostate cancer (PCa). JNJ-081 is a bispecific antibody with one arm binding PSMA on cancer cells and the other binding CD3 on T-cells to promote anti-tumor activity. Methods: This Phase 1 Dose Escalation Study evaluated JNJ-081 in mCRPC participants (pts) who progressed after novel androgen targeting therapy (eg, abiraterone, enzalutamide or apalutamide). Prior chemotherapy was permitted. JNJ-081 was administered initially by intravenous (IV) then by subcutaneous (SC) route. Dose escalation followed a continuous reassessment method based on a Bayesian regression model. The primary endpoint to determine the recommended phase 2 dose (RP2D) was based on safety. Pharmacokinetics (PK), pharmacodynamics (PD), immunogenicity, and preliminary anti-tumor activity were also evaluated. Cytokine release syndrome (CRS) was graded by CTCAE V5. Results: As of 10 May 2021, 39 pts were dosed in 10 cohorts ranging from 0.1 µg/kg to 3 µg/kg IV and from 3 µg/kg to 60 µg/kg SC. Premedications included high dose corticosteroids. Step-up priming was implemented at higher SC doses. Most common treatment-emergent AEs were CRS (65%), fatigue (49%) and nausea (43%). 2 pts developed DLTs of Grade (G) 3 or G4 transaminases increased, 1 each at 30 µg/kg SC and priming with 10 µg/kg SC then 55 µg/kg SC, respectively. Both DLTs were in conjunction with or followed an episode of G2 CRS. SC route as well as step-up priming helped mitigate CRS and infusion-related reaction (IRR) during escalation to higher doses: at 3 µg/kg IV, 4 of 5 pts had G2 CRS or IRR; at 30 µg/kg SC, 3 of 4 pts had G2 CRS; priming with 10 µg/kg then 55 µg/kg SC, 4 of 5 pts had G2 CRS. Injection site reactions (G1 or G2) occurred in 24 of 26 pts treated via SC JNJ-081. No treatment related death was reported. Transient PSA decreases were observed at treatment doses greater than 30 µg/kg SC. Two subjects treated with 55 µg/kg had PSA decreases > 50%. No radiographic responses were observed. PK of JNJ-081 was linear over the dose range of 3-60 µg/kg following SC administration. SC bioavailability was approximately 25%. Anti-drug antibodies (ADA) were detected in 2 of 12 subjects treated by IV administration and 14 of 23 pts treated by SC administration. ADA resulted in loss of exposure in some SC pts. Intrapatient dose escalation in 3 pts did not overcome the reduced exposure after ADA seropositivity. Conclusions: JNJ-081 demonstrated transient decreases in PSA in mCRPC patients. Grade 2 CRS was observed at higher doses and was partially mitigated by SC and step-up dosing. ADA resulting in decreased exposure occurred in the majority of pts treated SC. PSMA remains a potential therapeutic target for T-cell redirection for the treatment of PCa. Clinical trial information: NCT03926013.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.214
GPT teacher head0.537
Teacher spread0.323 · 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".

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Citations16
Published2022
Admission routes1
Has abstractyes

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Same venueJournal of Clinical OncologySame topicProstate Cancer Treatment and ResearchFrench-language works237,207