Evidence map›Paper›PMID 35613827›Full record

ArticleJournal for immunotherapy of cancer2022

Durable and dynamic hTERT immune responses following vaccination with the long-peptide cancer vaccine UV1: long-term follow-up of three phase I clinical trials.

Espen Basmo Ellingsen, Elin Aamdal, Tormod Guren, Wolfgang Lilleby, Paal F Brunsvig, Sara M Mangsbo, Steinar Aamdal, Eivind Hovig, Nadia Mensali, Gustav Gaudernack and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Leveraging T cells for cancer immunotherapy.Immunity & inflammation · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 4 countries.

Espen Basmo EllingsenDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway espen.ellingsen@ultimovacs.com.ORCID 0000-0002-0235-1184
Elin AamdalFaculty of Medicine, University of Oslo, Oslo, Norway.
Tormod GurenDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Wolfgang LillebyDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Paal F BrunsvigDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Sara M MangsboDepartment of Pharmacy, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Steinar AamdalUltimovacs ASA, Oslo, Norway.
Eivind HovigDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Nadia MensaliDepartment of Cellular Therapy, Oslo University Hospital, Oslo, Norway.
Gustav GaudernackUltimovacs ASA, Oslo, Norway.
Else Marit InderbergDepartment of Cellular Therapy, Oslo University Hospital, Oslo, Norway.
Oslo University Hospital · NOUltimovacs (Norway) · NOUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTherapeutic cancer vaccines represent a promising approach to improve clinical outcomes with immune checkpoint inhibition. UV1 is a second generation telomerase-targeting therapeutic cancer vaccine being investigated across multiple indications. Although telomerase is a near-universal tumor target, different treatment combinations applied across indications may affect the induced immune response. Three phase I/IIa clinical trials covering malignant melanoma, non-small cell lung cancer, and prostate cancer have been completed, with patients in follow-up for up to 8 years.

methods52 patients were enrolled across the three trials. UV1 was given as monotherapy in the lung cancer trial and concurrent with combined androgen blockade in the prostate cancer trial. In the melanoma study, patients initiated ipilimumab treatment 1 week after the first vaccine dose. Patients were followed for UV1-specific immune responses at frequent intervals during vaccination, and every 6 months for up to 8 years in a follow-up period. Phenotypic and functional characterizations were performed on patient-derived vaccine-specific T cell responses.

resultsIn total, 78.4% of treated patients mounted a measurable vaccine-induced T cell response in blood. The immune responses in the malignant melanoma trial, where UV1 was combined with ipilimumab, occurred more rapidly and frequently than in the lung and prostate cancer trials. In several patients, immune responses peaked years after their last vaccination. An in-depth characterization of the immune responses revealed polyfunctional CD4+ T cells producing interferon-γ and tumor necrosis factor-α on interaction with their antigen.

conclusionLong-term immunomonitoring of patients showed highly dynamic and persistent telomerase peptide-specific immune responses lasting up to 7.5 years after the initial vaccination, suggesting a plausible functional role of these T cells in long-term survivors. The superior immune response kinetics observed in the melanoma study substantiate the rationale for future combinatorial treatment strategies with UV1 vaccination and checkpoint inhibition for rapid and frequent induction of anti-telomerase immune responses in patients with cancer.

Indexed as

Cancer VaccinesCarcinoma, Non-Small-Cell LungLung NeoplasmsMelanomaProstatic NeoplasmsTelomeraseClinical Trials, Phase I as TopicCutaneous Malignant MelanomaFollow-Up StudiesHumansImmunityIpilimumabMalePeptidesSkin NeoplasmsVaccinationCancer VaccinesIpilimumabPeptidesTelomeraseVaccines, SubunitCD4-positive T-lymphocytesimmunotherapymelanomatranslational medical researchvaccination

Identifiers

PMID35613827
PMCPMC9134181
OpenAlexW4281566897

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.