Evidence map›Paper›PMID 41957244›Full record

ArticleNpj imaging2026

MRI of combination immunotherapy in an epithelial ovarian cancer preclinical model.

Jessica T Gosse, Caitrin Sobey Skelton, Marie-Laurence Tremblay, Hailey Wyatt, Victoria Gonzalez, Bassel Dawod, Andrea Nuschke, Christa Davis, Brennan Dirk, Ava Vila-Leahey and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Jessica T Gosse *IWK Health Centre, Halifax, NS, Canada.
Caitrin Sobey Skelton *IWK Health Centre, Halifax, NS, Canada.
Marie-Laurence TremblayIWK Health Centre, Halifax, NS, Canada.
Hailey WyattIWK Health Centre, Halifax, NS, Canada.
Victoria GonzalezIWK Health Centre, Halifax, NS, Canada.
Bassel DawodIWK Health Centre, Halifax, NS, Canada.
Andrea NuschkeIWK Health Centre, Halifax, NS, Canada.
Christa DavisIWK Health Centre, Halifax, NS, Canada.
Brennan DirkIMV Inc, Dartmouth, NS, Canada.
Ava Vila-LeaheyIMV Inc, Dartmouth, NS, Canada.
Alecia MackayIMV Inc, Dartmouth, NS, Canada.
Kim BobbittIMV Inc, Dartmouth, NS, Canada.
Andrea WestDalhousie University, Halifax, NS, Canada.
Barbara VanderhydenUniversity of Ottawa, Ottawa, ON, Canada.
Genevieve WeirIMV Inc, Dartmouth, NS, Canada.
Alexandra Merkx-JacquesIMV Inc, Dartmouth, NS, Canada.
Marianne StanfordDalhousie University, Halifax, NS, Canada.
Olga HrytsenkoIMV Inc, Dartmouth, NS, Canada.
Kimberly D BrewerIWK Health Centre, Halifax, NS, Canada. brewerk@dal.ca.

Funding

Beatrice Hunter Cancer Research Institute New Investigator GrantNatural Sciences and Engineering Research Council of Canada Discovery Grant
6 · The paper itself

Abstract

Immunotherapies such as checkpoint inhibitors (i.e. anti-PD-1) and peptide-based therapies (DPX-Survivac) have strong potential for treatment of epithelial ovarian cancer, the most lethal gynecological malignancy. Magnetic resonance imaging (MRI) can be used to track tumor growth and iron-labeled immune cells longitudinally at the individual level. We studied MRI immune cell tracking in a murine model of ovarian cancer using a clinically relevant treatment combination of DPX-Survivac, anti-PD-1, and an intermittent low dose of Cyclophosphamide (CPA). HHD-DR1 mice were orthotopically implanted with mouse ovarian surface epithelial (MOSE) cancer cells. Myeloid and CD8

Identifiers

PMID41957244
PMCPMC13066022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.