Evidence map›Paper›PMID 36159861›Full record

ReviewFrontiers in immunology2022

Adenosinergic axis and immune checkpoint combination therapy in tumor: A new perspective for immunotherapy strategy.

Zhaoyun Liu, Xiaohan Liu, Hongli Shen, Xintong Xu, Xianghong Zhao, Rong Fu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

6 authors.

Zhaoyun LiuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Xiaohan LiuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Hongli ShenDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Xintong XuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Xianghong ZhaoDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.
Rong FuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are two figures and one table in this review, the review consists of 5823 words, without the description of figures and table, but including references. Tumor cells escape anti-tumor immune responses in various ways, including functionally shaping the microenvironment through the secretion of various chemokines and, cytokines. Adenosine is a powerful immunosuppressive metabolite, that is frequently elevated in the extracellular tumor microenvironment (TME). Thus, it has recently been proposed as a novel antitumor immunoassay for targeting adenosine- generating enzymes, such as CD39, CD73, and adenosine receptors. In recent years, the discovery of the immune checkpoints, such as programmed cell death 1(PD-1) and cytotoxic T lymphocyte antigen 4 (CTLA-4), has also greatly changed treatment methods and ideas for malignant tumors. Malignant tumor immunotherapy has been developed from point-to-point therapy targeting immune checkpoints, combining different points of different pathways to create a therapy based on the macroscopic immune regulatory system network. This article reviews the theoretical basis of the adenosine energy axis and immune checkpoint combined therapy for malignant tumors and the latest advances in malignant tumors.

Indexed as

NeoplasmsProgrammed Cell Death 1 ReceptorAdenosineCTLA-4 AntigenCytokinesHumansImmunotherapyReceptors, Purinergic P1Tumor MicroenvironmentAdenosineCTLA-4 AntigenCytokinesProgrammed Cell Death 1 ReceptorReceptors, Purinergic P1adenosineadenosine receptor 2ACD39CD73CTLA- 4PD-1

Identifiers

PMID36159861
PMCPMC9493240

What OpenQuestion holds

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Registered trials

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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.