Evidence map›Paper›PMID 33562450›Full record

ArticleCancers2021

Remission-Stage Ovarian Cancer Cell Vaccine with Cowpea Mosaic Virus Adjuvant Prevents Tumor Growth.

Courtney T Stump, Gregory Ho, Chenkai Mao, Frank A Veliz, Veronique Beiss, Jennifer Fields, Nicole F Steinmetz, Steven Fiering

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  12. Instigation of the epoch of nanovaccines in cancer immunotherapy.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

8 authors at 4 institutions in 1 country.

Courtney T StumpDepartment of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA.
Gregory HoDepartment of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.
Chenkai MaoDepartment of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.ORCID 0000-0002-5427-4985
Frank A VelizSchool of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
Veronique BeissDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Jennifer FieldsNorris Cotton Cancer Center, Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA.
Nicole F SteinmetzDepartment of Nanoengineering, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-0130-0481
Steven FieringDepartment of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.
Dartmouth College · USUniversity of California San Diego · USCase Western Reserve University · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
IMMUNOBIOLOGY OF MYELOID AND LYMPHOID CELLST32AI007363 · NIAID · DARTMOUTH COLLEGE · PI Claudia V Jakubzick · 1990 to 2026
$9.5M
Dual-pronged nano-drug delivery using plant virus-like particles.R01CA224605 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Nicole Franziska Steinmetz · 2017 to 2026
$4.0M
Bioprinting Plant Virus Nanoparticles for Immunotherapy and Relapse Prevention of Ovarian CancerR01CA253615 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN, FIERING, STEVEN · 2020 to 2024
$3.1M
Overcoming the immune-suppressive tumor microenvironment through in situ vaccination nanotechnology.U01CA218292 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIERING, STEVEN, STEINMETZ, NICOLE FRANZISKA · 2017 to 2021
$3.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA224605NCI NIH HHS R01 CA253615NCI NIH HHS U01 CA218292NIAID NIH HHS T32 AI007363NIH HHS 1R01CA253615NIH HHS R01CA224605NIH HHS U01CA218292
6 · The paper itself

Abstract

Ovarian cancer is the deadliest gynecological malignancy. Though most patients enter remission following initial interventions, relapse is common and often fatal. Accordingly, there is a substantial need for ovarian cancer therapies that prevent relapse. Following remission generated by surgical debulking and chemotherapy, but prior to relapse, resected and inactivated tumor tissue could be used as a personalized vaccine antigen source. The patient's own tumor contains relevant antigens and, when combined with the appropriate adjuvant, could generate systemic antitumor immunity to prevent relapse. Here, we model this process in mice to investigate the optimal tumor preparation and vaccine adjuvant. Cowpea mosaic virus (CPMV) has shown remarkable efficacy as an immunostimulatory cancer therapy in ovarian cancer mouse models, so we use CPMV as an adjuvant in a prophylactic vaccine against a murine ovarian cancer model. Compared to its codelivery with tumor antigens prepared in three other ways, we show that CPMV co-delivered with irradiated ovarian cancer cells constitutes an effective prophylactic vaccine against a syngeneic model of ovarian cancer in C57BL/6J mice. Following two vaccinations, 72% of vaccinated mice reject tumor challenges, and all those mice survived subsequent rechallenges, demonstrating immunologic memory formation. This study supports remission-stage vaccines using irradiated patient tumor tissue as a promising option for treating ovarian cancer, and validates CPMV as an antitumor vaccine adjuvant for that purpose.

Indexed as

adjuvantcowpea mosaic virusCPMVimmunotherapynanoparticleovarian cancerT cell-dependentvaccine

Identifiers

PMID33562450
PMCPMC7915664
OpenAlexW3126548134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.