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A phase I dose escalation and dose expansion study of the anti-programmed cell death-1 (PD-1) antibody AK105.

2019· article· en· W2947692688 on OpenAlexaff
Dusan Kotasek, Jermaine Coward, Paul L. de Souza, Craig Underhill, Xiaoping Jin, Baiyong Li, Yu Xia, Amy Prawira

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineRashAdverse effectInternal medicineCancerAntibodyGastroenterologyOncologyImmunology

Abstract

fetched live from OpenAlex

e14006 Background: AK105 is a humanized IgG1 mAb that blocks PD-1 binding to PD-L1 allowing T-cells to recognize and kill tumor cells. Key attributes of AK105 include antibody engineering to eliminate Fc mediated effector function, and a slower off-rate on antigen binding resulting in improved receptor occupancy (RO). These features offer more robust biological effect and enhance anti-tumor activity of AK105. Methods: A multicenter, Phase I, open-label dose escalation and expansion study in solid tumors (NCT03352531) began in Dec 2017, evaluating the safety and efficacy of AK105 administered IV q2w till confirmed progression (RECIST v1.1). For dose escalation, pts were enrolled at dose cohorts of 1, 3, and 10 mg/kg. Expansion of AK105 at the RP2D of 200 mg q2w is ongoing in pts with advanced gastric or gastroesophageal junction (GEJ) adenocarcinoma; esophageal squamous-cell carcinoma; hepatocellular carcinoma (HCC); microsatellite instability-high (MSI-H) colorectal cancer. Results: As of 1 Feb, 2019, 34 pts (median age 66.5 years [30–79], female 44%, ECOG 0/1 ([68%/32%]) in cohorts of 1 mg/kg (n = 3), 3 mg/kg (n = 6), 10 mg/kg (n = 7), and 200 mg q2w (n = 18), received a median of 5 (1–29) doses of AK105. No DLTs were reported. Treatment-related adverse events (TRAEs) occurred in 41% of pts (G3 in 12% [4/34], no G4, treatment interruption in 9% [3/34]). Most frequent TRAEs ( > 5%) were hyperthyroidism (9%), hypothyroidism (6%), fatigue (6%), and rash (6%). PD-1 RO analysis showed that pts maintained full occupancy ( > 80%) for all dose levels. Of 25 evaluable heavily pretreated pts, ORR was 24% (6/25; 29% [4/14] in dose escalation and 18% [2/11] in expansion phase) and disease control rate (DCR) was 56% (14/25). Five responses are confirmed and ongoing (HCC, pancreatic carcinoma, cholangiocarcinoma, GBM, gastric adenocarcinoma), one is pending confirmatory scan (GEJ). Conclusions: The RP2D obtained from the dose escalation phase, reported safety profile and encouraging antitumor activity of AK105 supports continued clinical development, which include: pivotal studies in classic Hodgkin lymphoma and nasopharyngeal carcinoma, phase 2/3 combination studies with chemotherapy in NSCLC and combination study with anlotinib, a multi-targeting tyrosine kinase inhibitor in HCC. PD analysis is ongoing and expansion is ongoing at the RP2D. Clinical trial information: NCT03352531.

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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.093
GPT teacher head0.481
Teacher spread0.388 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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