Evidence map›Paper›PMID 26730395›Full record

ArticleMolecular therapy. Methods & clinical development2015

Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines.

Drew R DeBay, Kimberly D Brewer, Sarah A LeBlanc, Genevieve M Weir, Marianne M Stanford, Marc Mansour, Chris V Bowen

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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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

7 authors at 3 institutions in 1 country.

Drew R DeBayBiomedical Translational Imaging Centre (BIOTIC) , Halifax, Nova Scotia, Canada.
Kimberly D BrewerBiomedical Translational Imaging Centre (BIOTIC), Halifax, Nova Scotia, Canada; Immunovaccine Inc., Halifax, Nova Scotia, Canada; Department of Radiology, Dalhousie University, Halifax, Nova Scotia, Canada.
Sarah A LeBlancBiomedical Translational Imaging Centre (BIOTIC) , Halifax, Nova Scotia, Canada.
Genevieve M WeirImmunovaccine Inc. , Halifax, Nova Scotia, Canada.
Marianne M StanfordImmunovaccine Inc. , Halifax, Nova Scotia, Canada.
Marc MansourImmunovaccine Inc. , Halifax, Nova Scotia, Canada.
Chris V BowenBiomedical Translational Imaging Centre (BIOTIC), Halifax, Nova Scotia, Canada; Department of Radiology, Dalhousie University, Halifax, Nova Scotia, Canada.
Immunovaccine (Canada) · CADalhousie University · CAPrecision BioLogic (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the preclinical development of immunotherapy candidates, understanding the mechanism of action and determining biomarkers that accurately characterize the induced host immune responses is critical to improving their clinical interpretation. Magnetic resonance imaging (MRI) was used to evaluate in vivo changes in lymph node size in response to a peptide-based cancer vaccine therapy, formulated using DepoVax (DPX). DPX is a novel adjuvant lipid-in-oil-based formulation that facilitates enhanced immune responses by retaining antigens at the injection site for extended latencies, promoting increased potentiation of immune cells. C57BL/6 mice were implanted with C3 (HPV) tumor cells and received either DPX or control treatments, 5 days post-implantation. Complete tumor eradication occurred in DPX-vaccinated animals and large volumetric increases were observed in the vaccine-draining right inguinal lymph node (VRILN) in DPX mice, likely corresponding to increased localized immune response to the vaccine. Upon evaluating the relative measure of vaccine-potentiated immune activation to tumor-induced immune response (VRILN/VLILN), receiver-operating characteristic (ROC) curves revealed an area under the curve (AUC) of 0.90 (±0.07), indicating high specificity and sensitivity as a predictive biomarker of vaccine efficacy. We have determined that for this tumor model, early MRI lymph node volumetric changes are predictive of depot immunotherapeutic success.

Identifiers

PMID26730395
PMCPMC4685660
OpenAlexW2410545767

What OpenQuestion holds

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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.