Evidence map›Paper›PMID 38918836›Full record

ArticleBreast cancer research : BCR2024

Evaluating the immunologically "cold" tumor microenvironment after treatment with immune checkpoint inhibitors utilizing PET imaging of CD4 + and CD8 + T cells in breast cancer mouse models.

Yun Lu, Hailey A Houson, Carlos A Gallegos, Alessandro Mascioni, Fang Jia, Argin Aivazian, Patrick N Song, Shannon E Lynch, Tiara S Napier, Ameer Mansur and 4 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

14 authors.

Yun LuDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Hailey A HousonDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Carlos A GallegosDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Alessandro MascioniImaginAb, Inc, Inglewood, CA, 90301, USA.
Fang JiaImaginAb, Inc, Inglewood, CA, 90301, USA.
Argin AivazianImaginAb, Inc, Inglewood, CA, 90301, USA.
Patrick N SongDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Shannon E LynchDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Tiara S NapierDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Ameer MansurDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Benjamin M LarimerDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Suzanne E LapiDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Ariella B HankerHarold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, 75390, USA.
Anna G SoraceDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA. asorace@uabmc.edu.

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
NRSA Training CoreTL1TR003106 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$3.7M
UAB Predoctoral Training Grant in Translational and Molecular SciencesT32GM135028 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Mythreye Karthikeyan, RAKESH P. PATEL · 2021 to 2026
$1.6M
Personalizing immunotherapy in HER2+ breast cancer through quantitative imagingR01CA240589 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SORACE, ANNA C · 2020 to 2023
$1.6M
Mathematical modeling and molecular imaging to maximize response while minimizing toxicities from systemic therapies in preclinical models of breast cancerR01CA276540 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SORACE, ANNA C, YANKEELOV, THOMAS E · 2023 to 2025
$1.4M
Development and Functional Assessment of Cardiovascular Tissue Engineering Therapy (CVTE) T32 Training GrantT32EB023872 · NIBIB · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ROGERS, JACK M, ZHANG, JIANYI · 2018 to 2022
$753k
American Cancer Society RSG-18-006-01-CCENCATS NIH HHS TL1 TR003106NCI NIH HHS P30 CA013148NCI NIH HHS R01 CA240589NCI NIH HHS R01 CA276540NIBIB NIH HHS T32 EB023872NIH HHS R01CA240589NIH HHS T32GM135028
6 · The paper itself

Abstract

backgroundImmune-positron emission tomography (PET) imaging with tracers that target CD8 and granzyme B has shown promise in predicting the therapeutic response following immune checkpoint blockade (ICB) in immunologically "hot" tumors. However, immune dynamics in the low T-cell infiltrating "cold" tumor immune microenvironment during ICB remain poorly understood. This study uses molecular imaging to evaluate changes in CD4 + T cells and CD8 + T cells during ICB in breast cancer models and examines biomarkers of response.

methods[

resultsFollowing ICB treatment, an increase in the CD8-specific PET signal was observed within 6 days, and an increase in the CD4-specific PET signal was observed within 2 days in tumors that eventually responded to immunotherapy, while no significant differences in CD4 or CD8 were found at the baseline of treatment that differentiated responders from nonresponders. Furthermore, mice whose tumors responded to ICB had a lower CD8 PET signal in the spleen and a higher CD4 PET signal in the spleen compared to non-responders. Intratumoral spatial heterogeneity of the CD8 and CD4-specific PET signals was lower in responders compared to non-responders. Finally, PET imaging, autoradiography, and immunofluorescence signals were correlated when comparing in vivo imaging to ex vivo validations.

conclusionsCD4- and CD8-specific immuno-PET imaging can be used to characterize the in vivo distribution of CD4 + and CD8 + T cells in response to immune checkpoint blockade. Imaging metrics that describe the overall levels and distribution of CD8 + T cells and CD4 + T cells can provide insight into immunological alterations, predict biomarkers of response to immunotherapy, and guide clinical decision-making in those tumors where the kinetics of the response differ.

Indexed as

Breast NeoplasmsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesDisease Models, AnimalImmune Checkpoint InhibitorsPositron-Emission TomographyTumor MicroenvironmentAnimalsCell Line, TumorFemaleHumansLymphocytes, Tumor-InfiltratingMiceRadioisotopesRadiopharmaceuticalsZirconiumImmune Checkpoint InhibitorsRadioisotopesRadiopharmaceuticalsZirconiumZirconium-894T189ZrCTLA4ImmunoPETMMTV-HER2PD-1Positron emission tomographySpatial heterogeneitySpleen

Identifiers

PMID38918836
PMCPMC11201779

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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.