Evidence map›Paper›PMID 36807510›Full record

ArticleCancer immunology research2023

Reverse Translation Identifies the Synergistic Role of Immune Checkpoint Blockade and IL15 to Enhance Immunotherapy of Ovarian Cancer.

Martin Felices, Erin Wesley, Laura E Bendzick, Behiye Kodal, Rachel Hopps, Bartosz Grzywacz, Peter Hinderlie, Jeffrey S Miller, Melissa A Geller

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  3. Review
  4. Review
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

9 authors at 1 institution in 1 country.

Martin Felices *Department of Medicine, Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-5945-0634
Erin Wesley *Department of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0001-6990-759X
Laura E BendzickDepartment of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-3197-5885
Behiye KodalDepartment of Medicine, Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-0898-2446
Rachel HoppsDepartment of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0001-7415-9522
Bartosz GrzywaczDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0003-0075-688X
Peter HinderlieDepartment of Medicine, Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-0816-956X
Jeffrey S Miller *Department of Medicine, Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-0339-4944
Melissa A Geller *Department of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0003-4591-620X
University of Minnesota · US

Funding

Therapeutic Potential of Adaptive NK Cells in Cancer and TransplantationP01CA111412 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MILLER, JEFFREY S. · 2005 to 2025
$38.2M
TRAINING IN HEMOGLOBIN &CELL MEMBRANE RESEARCHT32HL007062 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Jeffrey S. Miller, Gregory M Vercellotti · 1985 to 2026
$10.3M
Viral priming and targeting NK cells against solid tumor malignanciesR35CA197292 · NCI · UNIVERSITY OF MINNESOTA · PI MILLER, JEFFREY S. · 2015 to 2021
$6.2M
NCI NIH HHS P01 CA111412NCI NIH HHS R35 CA197292NHLBI NIH HHS T32 HL007062
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) has changed the standard of care for many patients with cancer, yet no ICB is approved for ovarian cancer. We hypothesized that maintenance therapy with an IL15 "superagonist" (N-803) and ICB in combination could induce potent immune activation in ovarian cancer. Using flow cytometry, cytometry by time of flight analysis, and cytotoxicity assays, we analyzed patient samples from women with advanced epithelial ovarian cancer treated with N-803 for indications of PD-1/PD-L1 upregulation with this treatment. In addition, ICB and N-803 were evaluated in preclinical studies to determine the functional impact of combination therapy on natural killer (NK) cells in vitro and in vivo. We observed that N-803 stimulated initial NK-cell expansion in patient samples; however, proliferation was not sustained beyond 2 weeks despite continued treatment. This result was reverse translated back to the laboratory to determine the functional relevance of this finding. The addition of ICB with an antibody-dependent cellular cytotoxicity IgG1 antibody against PD-L1 (avelumab) or an IgG4 antibody against PD-1 (pembrolizumab) enhanced N-803 induced NK-cell function in vitro. Using models of human ovarian cancer and NK-cell adoptive transfer in mice, we showed enhanced antitumor control with N-803 and ICB, as well as a combination effect that enhanced NK-cell persistence and expansion in vivo. This work suggests that PD-1/PD-L1 blockade combined with IL15 signaling may overcome resistance to cytokine therapy in ovarian cancer.

Indexed as

B7-H1 AntigenOvarian NeoplasmsAnimalsFemaleHumansImmune Checkpoint InhibitorsImmunotherapyInterleukin-15MiceProgrammed Cell Death 1 ReceptorB7-H1 AntigenImmune Checkpoint InhibitorsInterleukin-15Programmed Cell Death 1 Receptor

Identifiers

PMID36807510
PMCPMC10155036
OpenAlexW4321367560

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.