Evidence map›Paper›PMID 27429212›Full record

ReviewCurrent opinion in pharmacology2016

A2A adenosine receptor antagonists to weaken the hypoxia-HIF-1α driven immunosuppression and improve immunotherapies of cancer.

Stephen M Hatfield, Michail Sitkovsky

Abstract readReview
In one paragraph

Review in Current opinion in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
13.9field-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

88 citing papers in PubMed, 144 citations in OpenAlex.

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  14. Insights from Clinical Trials on AACS pharmacology & translational science · 2025
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28 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

2 authors at 1 institution in 1 country.

Stephen M HatfieldNew England Inflammation and Tissue Protection Institute, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA.
Michail SitkovskyNew England Inflammation and Tissue Protection Institute, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA. Electronic address: m.sitkovsky@neu.edu.
Northeastern University · US

Funding

Cancer Immunotherapy by Targeting A2 Adenosine ReceptorR01CA111985 · NCI · NORTHEASTERN UNIVERSITY · PI SITKOVSKY, MICHAIL · 2006 to 2016
$2.7M
NCI NIH HHS R01 CA111985
6 · The paper itself

Abstract

Hypoxic and adenosine rich tumor microenvironments represent an important barrier that must be overcome to enable T and NK cells to reject tumors. The A2A adenosine receptor (A2AR) on activated immune cells was identified as a critical and non-redundant mediator of physiological immunosuppression. Observations showing that tumor-protecting A2AR also suppress and redirect the anti-tumor immune response pointed to the importance of inhibiting this pathway to improve cancer immunotherapy. We advocated (i) blocking immunosuppressive adenosine-A2AR-cAMP-mediated intracellular signaling by A2AR antagonists and (ii) weakening hypoxia-HIF-1α-mediated accumulation of extracellular adenosine by oxygenation agents that also inhibits CD39/CD73 adenosine-generating enzymes. In view of commencing clinical trials of synthetic A2AR antagonists in combination with cancer immunotherapies, we discuss their promise and exclusion criteria.

Indexed as

AdenosineAdenosine A2 Receptor AntagonistsAnimalsHumansHypoxia-Inducible Factor 1, alpha SubunitImmune ToleranceImmunotherapyKiller Cells, NaturalNeoplasmsSignal TransductionT-LymphocytesTumor MicroenvironmentAdenosineAdenosine A2 Receptor AntagonistsHypoxia-Inducible Factor 1, alpha Subunit

Identifiers

PMID27429212
PMCPMC4992656
OpenAlexW2500601671

What OpenQuestion holds

Textmetadata
LicenceTDM
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.