Evidence map›Paper›PMID 39382998›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Targeting the MAtrix REgulating MOtif abolishes several hallmarks of cancer, triggering antitumor immunity.

Chengbei Li, Amanpreet Kaur, Alexia Pavlidaki, Caroline Spenlé, Irena Rajnpreht, Emmanuel Donnadieu, Nathalie Salomé, Anne Molitor, Raphael Carapito, Fanny Wack and 6 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. SubvertingBiology · 2024
    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

16 authors.

Chengbei LiUniversity of Strasbourg, Strasbourg 67091, France.
Amanpreet KaurUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0003-2824-5272
Alexia PavlidakiUniversity of Strasbourg, Strasbourg 67091, France.
Caroline SpenléÉcole Supérieure de Biotechnologie de Strasbourg (ESBS) UMR 7242, Groupe Peptide Thérapeutique, University of Strasbourg, Illkirch 67400, France.ORCID 0000-0002-6353-3109
Irena RajnprehtUniversité Paris Cité, CNRS, Inserm, Institut Cochin, Equipe Labellisée Ligue Contre le Cancer, Paris 75014, France.
Emmanuel DonnadieuUniversité Paris Cité, CNRS, Inserm, Institut Cochin, Equipe Labellisée Ligue Contre le Cancer, Paris 75014, France.ORCID 0000-0002-4985-7254
Nathalie SaloméUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0002-0349-0258
Anne MolitorUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0003-1646-2325
Raphael CarapitoUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0002-7036-442X
Fanny WackUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0001-9300-725X
William ErneUniversity of Strasbourg, Strasbourg 67091, France.
Olivier LefebvreUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0001-9130-9174
Gerlinde AverousDépartement de Pathologie, University Hospital Strasbourg, Strasbourg 67200, France.
Ioanna MitrentsiUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0009-0002-5005-5053
Thomas LoustauUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0003-4662-5228
Gertraud OrendUniversity of Strasbourg, Strasbourg 67091, France.ORCID 0000-0003-2522-1195

Funding

Institut National Du Cancer (INCa) Matrix CAR TargetingInstitut National Du Cancer (INCa) TENMAX
6 · The paper itself

Abstract

Tumor-targeted therapies have often been inefficient due to the lack of concomitant control over the tumor microenvironment. Using an immunocompetent autologous breast cancer model, we investigated a MAtrix REgulating MOtif (MAREMO)-mimicking peptide, which inhibits the protumorigenic extracellular matrix (ECM) molecule tenascin-C that activates several cancer hallmarks. In cultured cells, targeting the MAREMO blocks tenascin-C signaling involved in cell adhesion and immune-suppression by inhibiting tenascin-C interactions with fibronectin, TGFβ, CXCL12, and others, thereby blocking downstream events. Using RNASequencing and various genetic, molecular, in situ, and in vivo assays, we demonstrate that the MAREMO peptide similarly blocks multiple tenascin-C functions in vivo. This includes releasing tumor-infiltrating leukocytes, including CD8+ T cells, from the stroma. The MAREMO peptide also triggers interferon signaling, restoring antitumor immunity, contributing to tumor growth inhibition and reduced dissemination. The MAREMO peptide targets tumor cells directly by promoting growth suppression and inhibiting phenotypic plasticity, subsequently enhancing responsiveness to the endogenous death inducer tumor necrosis factor-related apoptosis-inducing ligand, as shown by a loss-of-function approach. Moreover, the MAREMO peptide largely subdues the tumor bed by depleting fibroblasts, repressing tenascin-C and other ECM molecules, and restoring the function of the few remaining blood vessels. In conclusion, targeting tenascin-C with a MAREMO peptide represents a powerful anticancer strategy with a broad inhibition of several cancer hallmarks.

Indexed as

TenascinTumor MicroenvironmentAnimalsBreast NeoplasmsCell Line, TumorChemokine CXCL12Extracellular MatrixFemaleFibronectinsHumansMicePeptidesSignal TransductionChemokine CXCL12FibronectinsPeptidesTenascincancer hallmarksMAREMO peptidetenascin-Ctumor microenvironment

Identifiers

PMID39382998
PMCPMC11494334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.