Evidence map›Paper›PMID 37265795›Full record

ReviewFrontiers in oncology2023

The role of tumor microenvironment in drug resistance: emerging technologies to unravel breast cancer heterogeneity.

Vincenzo Salemme, Giorgia Centonze, Lidia Avalle, Dora Natalini, Alessio Piccolantonio, Pietro Arina, Alessandro Morellato, Ugo Ala, Daniela Taverna, Emilia Turco and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
17.9field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Unlocking the Therapeutic Potential of Integrin-Linked Kinase Inhibitors in Bioengineered 3D Breast Tumor Stroma Models.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

11 authors at 2 institutions in 2 countries.

Vincenzo SalemmeDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Giorgia CentonzeDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Lidia AvalleDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Dora NataliniDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Alessio PiccolantonioDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Pietro ArinaUCL, Bloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, London, United Kingdom.
Alessandro MorellatoDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Ugo AlaDepartment of Veterinary Sciences, University of Turin, Grugliasco, TO, Italy.
Daniela TavernaDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Emilia TurcoDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Paola DefilippiDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
University of Turin · ITUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a highly heterogeneous disease, at both inter- and intra-tumor levels, and this heterogeneity is a crucial determinant of malignant progression and response to treatments. In addition to genetic diversity and plasticity of cancer cells, the tumor microenvironment contributes to tumor heterogeneity shaping the physical and biological surroundings of the tumor. The activity of certain types of immune, endothelial or mesenchymal cells in the microenvironment can change the effectiveness of cancer therapies via a plethora of different mechanisms. Therefore, deciphering the interactions between the distinct cell types, their spatial organization and their specific contribution to tumor growth and drug sensitivity is still a major challenge. Dissecting intra-tumor heterogeneity is currently an urgent need to better define breast cancer biology and to develop therapeutic strategies targeting the microenvironment as helpful tools for combined and personalized treatment. In this review, we analyze the mechanisms by which the tumor microenvironment affects the characteristics of tumor heterogeneity that ultimately result in drug resistance, and we outline state of the art preclinical models and emerging technologies that will be instrumental in unraveling the impact of the tumor microenvironment on resistance to therapies.

Indexed as

breast cancercancer heterogenicitydrug resistancemolecular mechanismstumor microenvironment

Identifiers

PMID37265795
PMCPMC10229846
OpenAlexW4377041739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.