Evidence map›Paper›PMID 38099213›Full record

ArticleCellular and molecular bioengineering2023

Head-to-Head Comparison of CCN4, DNMT3A, PTPN11, and SPARC as Suppressors of Anti-tumor Immunity.

Anika C Pirkey, Wentao Deng, Danielle Norman, Atefeh Razazan, David J Klinke

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. An overview of CCN4 (WISP1) role in human diseases.Journal of translational medicine · 2024
    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

5 authors at 1 institution in 1 country.

Anika C PirkeyDepartment of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506-6102 USA.
Wentao DengDepartment of Microbiology, Immunology, & Cell Biology, P.O. Box 9177, Morgantown, WV 26506 USA.
Danielle NormanDepartment of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506-6102 USA.
Atefeh RazazanDepartment of Microbiology, Immunology, & Cell Biology, P.O. Box 9177, Morgantown, WV 26506 USA.
David J KlinkeDepartment of Microbiology, Immunology, & Cell Biology, P.O. Box 9177, Morgantown, WV 26506 USA.ORCID 0000-0003-3299-4938
West Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
WV INBRE: The Inhibitor of Growth Family Member 4 (ING4) inhibits L-Type Amino Acid Transporter 1 (LAT1) expression to suppress Breast CancerP20GM103434 · NIGMS · MARSHALL UNIVERSITY · PI Travis Salisbury · 2012 to 2026
$61.1M
WVU Flow Cytometry and Single Cell Core Facility (FCSCCF)P20GM121322 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Dominique Bollino · 2018 to 2026
$22.4M
Cell and Molecular Biology Training Program at West Virginia UniversityT32GM133369 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Zoica Cerasela Dinu, MICHAEL D SCHALLER · 2019 to 2026
$2.0M
Integrative systems approach to identify local oncogenic modulation of the IL12 axisR01CA193473 · NCI · WEST VIRGINIA UNIVERSITY · PI KLINKE, DAVID JOHN · 2016 to 2020
$1.7M
Special Becton Dickinson Fortessa Flow CytometerS10OD016165 · OD · WEST VIRGINIA UNIVERSITY · PI CUFF, CHRISTOPHER F · 2013 to 2013
$384k
NCI NIH HHS R01 CA193473NIGMS NIH HHS P20 GM103434NIGMS NIH HHS P20 GM121322NIGMS NIH HHS T32 GM133369NIGMS NIH HHS U54 GM104942NIH HHS S10 OD016165
6 · The paper itself

Abstract

Purpose: Emergent cancer cells likely secrete factors that inhibit anti-tumor immunity. To identify such factors, we applied a functional assay with proteomics to an immunotherapy resistant syngeneic mouse melanoma model. Four secreted factors were identified that potentially mediate immunosuppression and could become targets for novel immunotherapies. We tested for consistent clinical correlates in existing human data and verified in vivo whether knocking out tumor cell production of these factors improved immune-mediated control of tumor growth. Methods: Existing human data was analyzed for clinical correlates. A CRISPR/Cas9 approach to generate knockout cell lines and a kinetic analysis leveraging a Markov Chain Monte Carlo (MCMC) approach quantified the various knockouts' effect on cells' intrinsic growth rate. Flow cytometry was used to characterize differences in immune infiltration. Results: While all four gene products were produced by malignant melanocytes, only increased CCN4 expression was associated with reduced survival in primary melanoma patients. In immunocompetent C57BL/6 mice the CCN4 knockout increased survival while the other knockouts had no effect. This survival advantage was lost when the CCN4 knockout cells were injected into immunocompromised hosts, indicating that the effect of CCN4 may be immune mediated. Parameter estimation from the MCMC analysis shows that CCN4 was the only knockout tested that decreased the net tumor growth rate in immunocompetent mice. Flow cytometry showed an increase in NK cell infiltration in CCN4 knockout tumors. Conclusions: The results suggest that CCN4 is a mediator of immunosuppression in the melanoma tumor microenvironment and a potential collateral immunotherapy target. Supplementary Information: The online version contains supplementary material available at 10.1007/s12195-023-00787-7.

Indexed as

Computational Bayesian statisticsImmune mediationMarkov Chain Monte CarloMelanoma

Identifiers

PMID38099213
PMCPMC10716093
OpenAlexW4388182105

What OpenQuestion holds

Textmetadata
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.