Evidence map›Paper›PMID 32188623›Full record

ArticleMolecular cancer therapeutics2020

Type I IFN, Ly6C

Allison M Dyevoich, Karen M Haas

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2020. 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
0.3field-weighted citation impact, top 45% 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. Article
  3. Article
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

2 authors at 1 institution in 1 country.

Allison M DyevoichDepartment of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Karen M HaasDepartment of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, North Carolina. kmhaas@wakehealth.edu.
Wake Forest University · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
TRAINING PROGRAM IN IMMUNOLOGY AND PATHOGENESIST32AI007401 · NIAID · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Martha Ann Alexander-Miller · 1991 to 2026
$4.4M
Regulation of Memory B Cell Responses to Polysaccharide AntigensR01AI118876 · NIAID · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HAAS, KAREN M · 2015 to 2019
$1.9M
NCI NIH HHS P30 CA012197NIAID NIH HHS R01 AI118876NIAID NIH HHS T32 AI007401
6 · The paper itself

Abstract

Metastatic cancer involving spread to the peritoneal cavity is referred to as peritoneal carcinomatosis and has a very poor prognosis. Our previous study demonstrated a Toll-like receptor and C-type lectin receptor agonist pairing of monophosphoryl lipid A (MPL) and trehalose-6,6'-dicorynomycolate (TDCM) effectively inhibits tumor growth and ascites development following TA3-Ha and EL4 challenge through a mechanism dependent on B-1a cell-produced natural IgM and complement. In this study, we investigated additional players in the MPL/TDCM-elicited response. MPL/TDCM treatment rapidly increased type I IFN levels in the peritoneal cavity along with myeloid cell numbers, including macrophages and Ly6C

Indexed as

Adjuvants, ImmunologicAnimalsAntigens, LyApoptosisCell ProliferationCord FactorsDrug Therapy, CombinationFemaleGene Expression Regulation, NeoplasticHumansInterferon Type ILectins, C-TypeLipid ALymphomaMacrophagesMice6,6'-dicorynomycolyl trehaloseAdjuvants, ImmunologicAntigens, LyCord FactorsIfnar1 protein, mouseInterferon Type ILectins, C-TypeLipid ALy-6C antigen, mousemonophosphoryl lipid AReceptor, Interferon alpha-betaToll-Like Receptors

Identifiers

PMID32188623
PMCPMC7770648
OpenAlexW3012267667

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.