Evidence map›Paper›PMID 31521051›Full record

ArticleNeoplasia (New York, N.Y.)2019

VCAM-1 Density and Tumor Perfusion Predict T-cell Infiltration and Treatment Response in Preclinical Models.

Johannes Riegler, Herman Gill, Annie Ogasawara, Maj Hedehus, Vincent Javinal, Jason Oeh, Gregory Z Ferl, Jan Marik, Simon Williams, Deepak Sampath and 2 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

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  13. SubvertingBiology · 2024
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  19. Article
  20. MRI techniques for immunotherapy monitoring.Journal for immunotherapy of cancer · 2022
    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

12 authors at 3 institutions in 2 countries.

Johannes RieglerBiomedical Imaging, Genentech Inc., South San Francisco, CA; Current address: Calico Life Sciences LLC, South San Francisco, CA.
Herman GillBiomedical Imaging, Genentech Inc., South San Francisco, CA.
Annie OgasawaraBiomedical Imaging, Genentech Inc., South San Francisco, CA.
Maj HedehusBiomedical Imaging, Genentech Inc., South San Francisco, CA.
Vincent JavinalIn vivo Pharmacology, Genentech Inc., South San Francisco, CA.
Jason OehIn vivo Pharmacology, Genentech Inc., South San Francisco, CA.
Gregory Z FerlBiomedical Imaging, Genentech Inc., South San Francisco, CA; Preclinical and Translational Pharmacokinetics, Genentech Inc., South San Francisco, CA.
Jan MarikBiomedical Imaging, Genentech Inc., South San Francisco, CA.
Simon WilliamsBiomedical Imaging, Genentech Inc., South San Francisco, CA.
Deepak SampathIn vivo Pharmacology, Genentech Inc., South San Francisco, CA.
Jill SchartnerIn vivo Pharmacology, Genentech Inc., South San Francisco, CA.
Richard A D CaranoBiomedical Imaging, Genentech Inc., South San Francisco, CA. Electronic address: carano.richard@gene.com.
Gene Therapy Laboratory · FRScienceSouth · USSunesis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapies have demonstrated durable responses in a range of different cancers. However, only a subset of patients responds to these therapies. We set out to test if non-invasive imaging of tumor perfusion and vascular inflammation may be able to explain differences in T-cell infiltration in pre-clinical tumor models, relevant for treatment outcomes. Tumor perfusion and vascular cell adhesion molecule (VCAM-1) density were quantified using magnetic resonance imaging (MRI) and correlated with infiltration of adoptively transferred and endogenous T-cells. MRI biomarkers were evaluated for their ability to detect tumor rejection 3 days after T-cell transfer. Baseline levels of these markers were used to assess their ability to predict PD-L1 treatment response. We found correlations between MRI-derived VCAM-1 density and infiltration of endogenous or adoptively transferred T-cells in some preclinical tumor models. Blocking T-cell binding to endothelial cell adhesion molecules (VCAM-1/ICAM) prevented T-cell mediated tumor rejection. Tumor rejection could be detected 3 days after adoptive T-cell transfer prior to tumor volume changes by monitoring the extracellular extravascular volume fraction. Imaging tumor perfusion and VCAM-1 density before treatment initiation was able to predict the response of MC38 tumors to PD-L1 blockade. These results indicate that MRI based assessment of tumor perfusion and VCAM-1 density can inform about the permissibility of the tumor vasculature for T-cell infiltration which may explain some of the observed variance in treatment response for cancer immunotherapies.

Indexed as

Perfusion ImagingAnimalsAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkersCell Adhesion MoleculesCell Line, TumorDisease Models, AnimalEndothelial CellsFemaleLymphocytes, Tumor-InfiltratingMagnetic Resonance ImagingMiceNeoplasmsPositron-Emission TomographyT-LymphocytesAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkersCd274 protein, mouseCell Adhesion MoleculesVascular Cell Adhesion Molecule-1

Identifiers

PMID31521051
PMCPMC6744528
OpenAlexW2972493949

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.