Evidence map›Paper›PMID 38196632›Full record

ArticleResearch square2023

Necroptosis Stimulates Interferon-Mediated Protective Anti-Tumor Immunity.

Francis Chan, A Justin Rucker, Christa Park, Qi-Jing Li, E Ashley Moseman

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Francis ChanLiangzhu Laboratory, Zhejiang University.ORCID 0000-0002-4803-8353
A Justin RuckerDuke University.
Christa ParkUniversity of Massachusetts Chan Medical School.
Qi-Jing LiAgency for Science, Technology and Research (A*STAR).ORCID 0000-0002-0542-9784
E Ashley MosemanDuke University.
Duke University · USAgency for Science, Technology and Research · SGUniversity of Massachusetts Chan Medical School · USZhejiang University · CN

Funding

TRAINING IN IMMUNOLOGY (COMPETITIVE RENEWAL OF AI07439)T32AI007349 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STERN, LAWRENCE J. · 1989 to 2024
$4.5M
Viral inhibition of cell death in host immune responsesR01AI148302 · NIAID · DUKE UNIVERSITY · PI MIAO, EDWARD A · 2020 to 2024
$3.0M
Treatment of Primary Amoebic Meningoencephalitis via Modulation of Antibody Effector FunctionsR01NS121067 · NINDS · DUKE UNIVERSITY · PI MOSEMAN, E. ASHLEY · 2021 to 2025
$2.0M
Advanced Immunobiology Traning Program for SurgeonsT32AI141342 · NIAID · DUKE UNIVERSITY · PI Allan D. Kirk, GEORGIA Doris TOMARAS · 2019 to 2026
$1.8M
NIAID NIH HHS R01 AI148302NIAID NIH HHS T32 AI007349NIAID NIH HHS T32 AI141342NINDS NIH HHS R01 NS121067
6 · The paper itself

Abstract

Necroptosis is an inflammatory form of cell suicide that critically depends on the kinase activity of Receptor Interacting Protein Kinase 3 (RIPK3). Previous studies showed that immunization with necroptotic cells conferred protection against subsequent tumor challenge. Since RIPK3 can also promote apoptosis and NF-κB-dependent inflammation, it remains difficult to determine the contribution of necroptosis-associated release of damage-associated molecular patterns (DAMPs) in anti-tumor immunity. Here, we describe a system that allows us to selectively induce RIPK3-dependent necroptosis or apoptosis with minimal NF-κB-dependent inflammatory cytokine expression. In a syngeneic tumor challenge model, immunization with necroptotic cells conferred superior protection against subsequent tumor challenge. Surprisingly, this protective effect required CD4

Identifiers

PMID38196632
PMCPMC10775377
OpenAlexW4389981344

What OpenQuestion holds

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LicenceCC BY
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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.