Evidence map›Paper›PMID 36741387›Full record

ArticleFrontiers in immunology2022

IFNα and 5-Aza-2'-deoxycytidine combined with a dendritic-cell targeting DNA vaccine alter tumor immune cell infiltration in the B16F10 melanoma model.

James T Gordy, Avinaash K Sandhu, Kaitlyn Fessler, Kun Luo, Aakanksha R Kapoor, Samuel K Ayeh, Yinan Hui, Courtney Schill, Fengyixin Chen, Tianyin Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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
2.8field-weighted citation impact, top 9% 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, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. MIP3α-RelVaccine · 2025
    Article
  4. Article
  5. Review
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  8. Article
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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 at 2 institutions in 1 country.

James T GordyDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Avinaash K SandhuDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Kaitlyn FesslerDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Kun LuoDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Aakanksha R KapoorDivision of Infectious Diseases, Center for Tuberculosis Research, Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, United States.
Samuel K AyehDivision of Infectious Diseases, Center for Tuberculosis Research, Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, United States.
Yinan HuiDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Courtney SchillDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Fengyixin ChenDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Tianyin WangDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Styliani KaranikaDivision of Infectious Diseases, Center for Tuberculosis Research, Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, United States.
Joel C SunshineThe Departments of Dermatology, Pathology, and Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Petros C KarakousisDivision of Infectious Diseases, Center for Tuberculosis Research, Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, United States.
Richard B MarkhamDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Johns Hopkins University · USJohns Hopkins Hospital · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
RESEARCH TRAINING IN MICROBIAL DISEASEST32AI007291 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOEL N BLANKSON, Sara Elizabeth Cosgrove · 1986 to 2026
$9.1M
Therapeutic vaccination to augment stringent response-specific T-cell immunity to MTB persistersR01AI148710 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C, MARKHAM, RICHARD B. · 2020 to 2024
$3.8M
Mentoring in Immunometabolic Dysregulation in TB and TB/HIVK24AI143447 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KARAKOUSIS, PETROS C · 2019 to 2024
$956k
NCI NIH HHS P30 CA006973NIAID NIH HHS K24 AI143447NIAID NIH HHS R01 AI148710NIAID NIH HHS T32 AI007291
6 · The paper itself

Abstract

Introduction: DNA vaccines containing a fusion of the gene encoding chemokine MIP-3α (CCL20), the ligand for CCR6 on immature dendritic cells (DCs), to melanoma-associated antigen genes have enhanced anti-tumor immunity and efficacy compared to those lacking the chemokine gene. Previous work has shown that type-I interferon (IFNα or IFN) and 5-Aza-2'-deoxycytidine (5Aza) significantly enhance the therapeutic benefit of DNA vaccines as measured by reduced tumor burden and improved mouse survival. Methods: Here, we explored mouse intratumoral immune correlates underlying the therapeutic benefit of this combination regimen (vaccine, IFN, and 5Aza) as compared to vaccine alone and IFN and 5Aza without vaccine, focusing on chemokine mRNA expression by qRT-PCR and inflammatory cellular infiltration into the tumor microenvironment (TME) by flow cytometry and immunohistochemistry (IHC). Results: The combination group significantly upregulated intratumoral mRNA expression of key immune infiltration chemokines XCL1 and CXCL10. Flow cytometric analyses of tumor suspensions exhibited greater tumor infiltration of CD8+ DCs, CCR7+ DCs, and NK cells in the combination group, as well as reduced levels of myeloid-derived suppressor cells (MDSCs) in vaccinated groups. The mice receiving combination therapy also had greater proportions of effector/memory T-cells (Tem), in addition to showing an enhanced infiltration of Tem and central memory CD8+ T-cells, (Tcm). Tem and Tcm populations both correlated with smaller tumor size. Immunohistochemical analysis of tumors confirmed that CD8+ cells were more abundant overall and especially in the tumor parenchyma with combination therapy. Discussion: Efficient targeting of antigen to immature DCs with a chemokine-fusion vaccine offers a potential alternative approach to classic and dendritic cell-based vaccines. Combining this approach with IFNα and 5Aza treatments significantly improved vaccine efficacy. This treatment creates an environment of increased inflammatory chemokines that facilitates the trafficking of CD8+ DCs, NK cells, and CD8+ T-cells, especially memory cells, while reducing the number of MDSCs. Importantly, in the combination group, CD8+ cells were more able to penetrate the tumor mass in addition to being more numerous. Further analysis of the pathways engaged by our combination therapy is expected to provide additional insights into melanoma pathogenesis and facilitate the development of novel treatment strategies.

Indexed as

Cancer VaccinesMelanomaVaccines, DNAAnimalsDecitabineInterferon-alphaMiceRNA, MessengerTumor MicroenvironmentCancer VaccinesDecitabineInterferon-alphaRNA, MessengerVaccines, DNA5-Aza-2’-deoxycitidineB16F10 melanomaCCL20CD8+ T-cellschemokinedendritic cellinterferonvaccine

Identifiers

PMID36741387
PMCPMC9892704
OpenAlexW4317399309

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.