Evidence map›Paper›PMID 23125525›Full record

ReviewJournal of biomedicine & biotechnology2012

CD73-generated adenosine: orchestrating the tumor-stroma interplay to promote cancer growth.

Bertrand Allard, Martin Turcotte, John Stagg

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 101 citations in OpenAlex.

  1. Clinical significance of CD73 in triple-negative breast cancer: multiplex analysis of a phase III clinical trial.Annals of oncology : official journal of the European Society for Medical Oncology · 2018
    Trial
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  8. Induced Treg-Derived Extracellular Vesicles Suppress CD4Journal of extracellular vesicles · 2025
    Article
  9. Review
  10. Article
  11. CD73 mitigates ZEB1 expression in papillary thyroid carcinoma.Cell communication and signaling : CCS · 2024
    Article
  12. Molecular and therapeutic effect of CRISPR in treating cancer.Medical oncology (Northwood, London, England) · 2023
    Review
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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

3 authors at 1 institution in 1 country.

Bertrand AllardCentre de Recherche, Centre Hospitalier, Faculté de Pharmacie l'Université de Montréal et Institut du Cancer de Montréal, Montréal, QC H2L 4M1, Canada.
Martin Turcotte
John Stagg
Centre Hospitalier de l’Université de Montréal · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Despite the coming of age of cancer immunotherapy, clinical benefits are still modest. An important barrier to successful cancer immunotherapy is that tumors employ a number of mechanisms to facilitate immune escape, including the production of anti-inflammatory cytokines, the recruitment of regulatory immune subsets, and the production of immunosuppressive metabolites. Significant therapeutic opportunity exists in targeting these immunosuppressive pathways. One such immunosuppressive pathway is the production of extracellular adenosine by CD73, an ectonucleotidase overexpressed in various types of cancer. We hereafter review the biology of CD73 and its role in cancer progression and metastasis. We describe the role of extracellular adenosine in promoting tumor growth through paracrine and autocrine action on tumor cells, endothelial cells, and immune cells.

Indexed as

5'-NucleotidaseAdenosineAnimalsCell ProliferationHumansNeoplasmsStromal CellsT-Lymphocytes, Regulatory5'-NucleotidaseAdenosine

Identifiers

PMID23125525
PMCPMC3482007
OpenAlexW2044588680

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.