Evidence map›Paper›PMID 36912535›Full record

ArticleJournal of visualized experiments : JoVE2023

Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine.

Hsin Yu Liu, Amnon Altman, Ann J Canonigo-Balancio, Michael Croft

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Hsin Yu LiuLa Jolla Institute for Immunology; sherryl412star@gmail.com.
Amnon AltmanLa Jolla Institute for Immunology.
Ann J Canonigo-BalancioLa Jolla Institute for Immunology.
Michael CroftLa Jolla Institute for Immunology; mick@lji.org.
La Jolla Institute for Immunology · US

Funding

A Treg cell-intrinsic CTLA4-PKC-eta signaling pathway mediating contact-dependent suppression of tumor immunity: A novel target for cancer immunotherapyR01CA233862 · NCI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROFT, MICHAEL · 2019 to 2023
$2.6M
NCI NIH HHS R01 CA233862
6 · The paper itself

Abstract

Fms-like tyrosine kinase 3 ligand (Flt3L) is a hematopoietic cytokine that promotes the survival and differentiation of dendritic cells (DCs). It has been used in tumor vaccines to activate innate immunity and enhance antitumor responses. This protocol demonstrates a therapeutic model using cell-based tumor vaccine consisting of Flt3L-expressing B16-F10 melanoma cells along with phenotypic and functional analysis of immune cells in the tumor microenvironment (TME). Procedures for cultured tumor cell preparation, tumor implantation, cell irradiation, tumor size measurement, intratumoral immune cell isolation, and flow cytometry analysis are described. The overall goal of this protocol is to provide a preclinical solid tumor immunotherapy model, and a research platform to study the relationship between tumor cells and infiltrating immune cells. The immunotherapy protocol described here can be combined with other therapeutic modalities, such as immune checkpoint blockade (anti-CTLA-4, anti-PD-1, anti-PD-L1 antibodies) or chemotherapy in order to improve the cancer therapeutic effect of melanoma.

Indexed as

Cancer VaccinesMelanoma, ExperimentalAnimalsCytokinesDendritic CellsHumansImmunotherapyTumor MicroenvironmentVaccinationCancer VaccinesCytokines

Identifiers

PMID36912535
PMCPMC11006299
OpenAlexW4321763865

What OpenQuestion holds

Textmetadata
LicenceTDM
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.