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A study of REOLYSIN in combination with pembrolizumab and chemotherapy in patients (pts) with relapsed metastatic adenocarcinoma of the pancreas (MAP).

2017· article· en· W2761911056 on OpenAlexaff
Devalingam Mahalingam, Christos Fountzilas, Jennifer L. Moseley, Nicole Noronha, Karol Cheetham, Adrian Dzugalo, Gerard J. Nuovo, Andres Gutierrez, Sukeshi Patel Arora

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsOncolytics Biotech (Canada)
Fundersnot available
KeywordsMedicineChillsPembrolizumabInternal medicineGastroenterologyChemotherapyOncologyCancerImmunotherapy

Abstract

fetched live from OpenAlex

e15753 Background: REOLYSIN is an immuno-oncology-reoviral agent that induces an inflamed tumor phenotype secondary to viral infection of cancer cells. In combination with chemotherapy, it achieves 1 & 2 year-survival rates of 46% & 24% in MAP pts, respectively. Tumor analysis from pts showed reovirus protein replication, T-cell infiltration and upregulation of PD-L1. Similarly, the combination of REOLYSIN with anti-PD-1 antibody documented survival benefit in a pre-clinical model. We hypothesized that REOLYSIN in combination with chemo and pembrolizumab in pts with MAP would be clinically efficacious. Methods: A phase 2 study (NCT02620423) enrolled MAP pts who progressed after first line treatment. Pts received REOLYSIN (4.5 x 10 10 TCID 50 IV, D1 & D2), plus pembrolizumab (2mg/kg IV, D8) plus either 1)5-FU (LV (200 mg/m2 /5-FU 200 mg /m2 IV bolus, 5-FU 1200mg/m2 continuous IV infusion D1) or 2) gemcitabine (1000 mg/m2 IV, D1), or 3) irinotecan (125 mg/m2 IV, D1) q3w, until disease progression/unacceptable toxicity. The primary endpoint was safety. Secondary objectives included tumor response & evaluation for reovirus replication/immune analysis. We report results of safety cohort analysis. Results: 11 pts were enrolled with REOLYSIN, pembrolizumab and gem (n = 6), 5-FU (n = 3), or iri (n = 2). Grade 1 or 2 TEAEs occurred in all pts: fever (64%), headache (55%), chills (46%), fatigue (46%), dehydration (27%), and nausea (27%). In one pt (gem arm), transient Gr 2 increased transaminases was reported on two occasions. Grade 3 or 4 TEAEs occurred in 8 pts (73%): abdominal pain, anemia, arthralgias, biliary obstruction, chills, DVT, diarrhea, fever, hyperglycemia, leukopenia, myalgias, nausea, neutropenia, pulmonary emboli, vomiting. Of the 5 efficacy evaluable pts, one had PR (6 m duration) and 2 SD (lasting 126 and 221 days). Seven died secondary to PD. On-treatment biopsy show reovirus infection in cancer cells and immune infiltrates. Conclusions: The combination therapy showed manageable safety profiles and antitumor activity in previously treated MAP pts. Further evaluation of anti-tumor activity of REOLYSIN and anti-PD-1 antibody ± chemotherapy combos is planned. Clinical trial information: NCT02620423.

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.051
GPT teacher head0.409
Teacher spread0.358 · 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

Citations24
Published2017
Admission routes1
Has abstractyes

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