Evidence map›Paper›PMID 27454079›Full record

ArticleOncogenesis2016

TLR9 re-expression in cancer cells extends the S-phase and stabilizes p16(INK4a) protein expression.

P Parroche, G Roblot, F Le Calvez-Kelm, I Tout, M Marotel, M Malfroy, G Durand, J McKay, M Ainouze, C Carreira and 8 more

Open access · goldAbstract read
In one paragraph

Article in Oncogenesis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. TLR9: A Double-Dealing Toll-Like Receptor.ImmunoTargets and therapy · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

18 authors at 6 institutions in 2 countries.

P ParrocheCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
G RoblotCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
F Le Calvez-KelmIARC-International Agency for Research on Cancer 150 Cours Albert Thomas, Lyon, France.
I ToutCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
M MarotelCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
M MalfroyCRCL, UMR INSERM 1052-CNRS 5286, Centre Léon Bérard, Lyon France.
G DurandIARC-International Agency for Research on Cancer 150 Cours Albert Thomas, Lyon, France.
J McKayIARC-International Agency for Research on Cancer 150 Cours Albert Thomas, Lyon, France.
M AinouzeCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
C CarreiraIARC-International Agency for Research on Cancer 150 Cours Albert Thomas, Lyon, France.
O AllatifCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
A Traverse-GlehenHospices Civils Lyon Sud, Pierre Benite, France.
M MendiolaMolecular Pathology and Therapeutic Targets Group, Research Insitute (IdiPAZ), La Paz University Hospital, Madrid, Spain and Molecular Pathology Diagnostics Unit, Institute of Medical and Molecular Genetics (INGEMM), La Paz University Hospital, Madrid, Spain.
J J Pozo-KreilingerPathology Department, La Paz University Hospital, Madrid Spain.
C CauxCRCL, UMR INSERM 1052-CNRS 5286, Centre Léon Bérard, Lyon France.
M TommasinoIARC-International Agency for Research on Cancer 150 Cours Albert Thomas, Lyon, France.
N GoutagnyCRCL, UMR INSERM 1052-CNRS 5286, Centre Léon Bérard, Lyon France.
U A HasanCIRI, INSERM U1111, Ecole Normale Supérieure, Université de Lyon, Lyon, France.
Université Claude Bernard Lyon 1 · FRCentre international de recherche sur le cancer · FRCentre de Recherche en Cancérologie de Lyon · FRHospital Universitario La Paz · ESCentre International de Recherche en Infectiologie · FRHôpital Lyon Sud · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

Toll-like receptor 9 (TLR9) recognizes bacterial, viral or cell damage-associated DNA, which initiates innate immune responses. We have previously shown that TLR9 expression is downregulated in several viral induced cancers including HPV16-induced cervical neoplasia. Findings supported that downregulation of TLR9 expression is involved in loss of anti-viral innate immunity allowing an efficient viral replication. Here we investigated the role of TLR9 in altering the growth of transformed epithelial cells. Re-introducing TLR9 under the control of an exogenous promoter in cervical or head and neck cancer patient-derived cells reduced cell proliferation, colony formation and prevented independent growth of cells under soft agar. Neither TLR3, 7, nor the TLR adapter protein MyD88 expression had any effect on cell proliferation, indicating that TLR9 has a unique role in controlling cell growth. The reduction of cell growth was not due to apoptosis or necrosis, yet we observed that cells expressing TLR9 were slower in entering the S-phase of the cell cycle. Microarray-based gene expression profiling analysis highlighted a strong interferon (IFN) signature in TLR9-expressing head and neck cancer cells, with an increase in IFN-type I and IL-29 expression (IFN-type III), yet neither IFN-type I nor IL-29 production was responsible for the block in cell growth. We observed that the protein half-life of p16(INK4a) was increased in TLR9-expressing cells. Taken together, these data show for the first time that TLR9 affects the cell cycle by regulating p16(INK4a) post-translational modifications and highlights the role of TLR9 in the events that lead to carcinogenesis.

Identifiers

PMID27454079
PMCPMC4972902
OpenAlexW2483519340

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.