Evidence map›Paper›PMID 35135866›Full record

ReviewJournal for immunotherapy of cancer2022

Next steps for clinical translation of adenosine pathway inhibition in cancer immunotherapy.

Ryan C Augustin, Robert D Leone, Aung Naing, Lawrence Fong, Riyue Bao, Jason J Luke

Open access · goldAbstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
17.0field-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

85 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
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  4. Metabolic convergence of diabetes and prostate cancer: from dysglycemia to tumor microenvironment reprogramming.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  12. CAR-T cells with the CD38Cell reports. Medicine · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

25 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 1 country.

Ryan C AugustinDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Robert D LeoneBloomberg-Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Research Center, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-1664-0075
Aung NaingDepartment of Investigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-4803-8513
Lawrence FongDepartment of Medicine and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Riyue BaoDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6105-1704
Jason J LukeDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA lukejj@upmc.edu.ORCID 0000-0002-1182-4908
University of Pittsburgh · USBloomberg (United States) · USThe University of Texas MD Anderson Cancer Center · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence supports targeting the adenosine pathway in immuno-oncology with several clinical programs directed at adenosine A2 receptor (A2AR, A2BR), CD73 and CD39 in development. Through a cyclic-AMP-mediated intracellular cascade, adenosine shifts the cytokine and cellular profile of the tumor microenvironment away from cytotoxic T cell inflammation toward one of immune tolerance. A perpetuating cycle of tumor cell proliferation, tissue injury, dysregulated angiogenesis, and hypoxia promote adenosine accumulation via ATP catabolism. Adenosine receptor (eg, A2AR, A2BR) stimulation of both the innate and adaptive cellular precursors lead to immunosuppressive phenotypic differentiation. Preclinical work in various tumor models with adenosine receptor inhibition has demonstrated restoration of immune cell function and tumor regression. Given the broad activity but known limitations of anti-programmed cell death protein (PD1) therapy and other checkpoint inhibitors, ongoing studies have sought to augment the successful outcomes of anti-PD1 therapy with combinatorial approaches, particularly adenosine signaling blockade. Preliminary data have demonstrated an optimal safety profile and enhanced overall response rates in several early phase clinical trials with A2AR and more recently CD73 inhibitors. However, beneficial outcomes for both monotherapy and combinations have been mostly lower than expected based on preclinical studies, indicating a need for more nuanced patient selection or biomarker integration that might predict and optimize patient outcomes. In the context of known immuno-oncology biomarkers such as tumor mutational burden and interferon-associated gene expression, a comparison of adenosine-related gene signatures associated with clinical response indicates an underlying biology related to immunosuppression, angiogenesis, and T cell inflammation. Importantly, though, adenosine associated gene expression may point to a unique intratumoral phenotype independent from IFN-γ related pathways. Here, we discuss the cellular and molecular mechanisms of adenosine-mediated immunosuppression, preclinical investigation of adenosine signaling blockade, recent response data from clinical trials with A2AR, CD73, CD39 and PD1/L1 inhibitors, and ongoing development of predictive gene signatures to enhance combinatorial immune-based therapies.

Indexed as

AdenosineHumansImmunotherapyNeoplasmsAdenosineadenosinegene expression profilingimmune tolerancetumor microenvironment

Identifiers

PMID35135866
PMCPMC8830302
OpenAlexW4210889808

What OpenQuestion holds

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LicenceCC BY-NC
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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.