Evidence map›Paper›PMID 23728346›Full record

ArticleOncogene2014

Differential role of MyD88 and Mal/TIRAP in TLR2-mediated gastric tumourigenesis.

C L Kennedy, M Najdovska, H Tye, L McLeod, L Yu, A Jarnicki, P S Bhathal, T Putoczki, M Ernst, B J Jenkins

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

C L KennedyCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
M NajdovskaCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
H TyeCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
L McLeodCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
L YuCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
A JarnickiLudwig Institute of Cancer Research, Royal Melbourne Hospital, Parkville, Victoria, Australia.
P S BhathalDepartment of Pathology, The University of Melbourne, Melbourne, Victoria, Australia.
T PutoczkiLudwig Institute of Cancer Research, Royal Melbourne Hospital, Parkville, Victoria, Australia.
M ErnstLudwig Institute of Cancer Research, Royal Melbourne Hospital, Parkville, Victoria, Australia.
B J JenkinsCentre for Innate Immunity and Infectious Diseases, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
Monash Institute of Medical Research · AUThe Royal Melbourne Hospital · AUMonash University · AUUniversity of Melbourne · AU

Funding

Worldwide Cancer Research 08-0644
6 · The paper itself

Abstract

Signalling by the toll-like receptor (TLR) family of pathogen recognition receptors has emerged as a key molecular component in the pathogenesis of an increasing number of inflammatory-related cancers, among which gastric cancer rates as the second most lethal cancer world-wide. The myeloid differentiation factor 88 (MyD88) adapter molecule has a critical role in mediating innate immune signalling by members of the TLR and interleukin (IL)-1 families, and has been associated with either pro- or antitumourigenic responses in various cancer models. However, little is known about the in vivo role of MyD88 adapter-like (Mal)/TIR-domain containing adapter protein (TIRAP), which is restricted to facilitating TLR4 and TLR2 signalling. To interrogate the role of these innate immune signalling components in gastric tumourigenesis, here we have employed the spontaneous gastric cancer gp130(F/F) mouse model, in which TLR2 promotes the growth of gastric tumours. Genetic ablation of Myd88 in gp130(F/F) mice suppressed tumourigenesis and was associated with increased apoptosis and reduced proliferation in the gastric tumour epithelium, comparable to that observed previously upon deletion of Tlr2 in gp130(F/F) mice. By contrast, the tumour burden in gp130(F/F):Mal(-/-) mice was equivalent to their gp130(F/F) littermates. At the molecular level, suppressed tumourigenesis in gp130(F/F):Myd88(-/-) mice correlated with reduced expression and activation of TLR2-regulated protumourigenic genes and signalling pathways, respectively. Consistent with the previously defined non-essential role for TLR2 in gastric tumour inflammation, the extent of inflammatory cell infiltrates in gastric tumours from gp130(F/F):Mal(-/-) and gp130(F/F):Myd88(-/-) mice remained unaltered compared with gp130(F/F) mice. Collectively, our data reveal a differential, but inflammation-independent, requirement for Mal and MyD88 during TLR2-promoted gastric tumourigenesis.

Indexed as

AnimalsCell Transformation, NeoplasticDisease Models, AnimalImmunoblottingImmunohistochemistryIn Situ Nick-End LabelingMembrane GlycoproteinsMiceMice, KnockoutMyeloid Differentiation Factor 88Receptors, Interleukin-1Reverse Transcriptase Polymerase Chain ReactionSignal TransductionStomach NeoplasmsToll-Like Receptor 2Membrane GlycoproteinsMyd88 protein, mouseMyeloid Differentiation Factor 88Receptors, Interleukin-1TIRAP protein, mouseTlr2 protein, mouseToll-Like Receptor 2

Identifiers

PMID23728346
OpenAlexW1995193532

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.