Evidence map›Paper›PMID 40873500›Full record

ArticleDose-response : a publication of International Hormesis Society

Adenosine Concentration Determination for

Chun Chen, Chuanpeng Yang, Shuning Hu, Wenjie Nie, Sudan Ye, Minghao Lu, Xingjie Xu, Huajun Hu

Abstract read
In one paragraph

Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Chun ChenCollege of Life Sciences, China Jiliang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-3053-1019
Chuanpeng YangCollege of Life Sciences, China Jiliang University, Hangzhou, China.
Shuning HuCollege of Life Sciences, China Jiliang University, Hangzhou, China.
Wenjie NieCollege of Life Sciences, China Jiliang University, Hangzhou, China.
Sudan YeZhejiang Institute of Economics and Trade, Hangzhou, China.
Minghao LuCollege of Life Sciences, China Jiliang University, Hangzhou, China.
Xingjie XuCollege of Life Sciences, China Jiliang University, Hangzhou, China.
Huajun HuCollege of Life Sciences, China Jiliang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We aimed to investigate the concentration of adenosine (ADO) in the tumor microenvironment (TME), focusing on its potential to modulate tumor cells and natural killer (NK) cells, thereby facilitating tumor immune escape. Methods: In this study, an in vitro simulation system was developed to systematically evaluate the effects of ADO (0-500 μM) on the colony formation and migration capability of A549 (lung carcinoma) and A375 (melanoma) cell lines, as well as its action on NK92 cell activity, cytokine secretion, and cytotoxicity against tumor cells. Results: The results showed that 50 μM ADO significantly promoted tumor cell proliferation (increasing the colony formation rate by 60%-80%) and migration (increasing the migration rate by 30%-40%), whereas high concentrations (>200 μM) exhibited an inhibitory effect. ADO suppressed NK92 cell activity in a dose-dependent manner, reducing the relative proliferation rate by 14.5% at 50 μM, significantly decreasing IFN-γ secretion (by 24% at 50 μM), and impairing the killing efficiency of A549, A375, and HepG2 cells (reducing their respective cytotoxicity by 20.3%, 22.4%, and 31.5%). Conclusion: This study provides biological evidence that 50 μM represents a critical threshold concentration for TME simulation, elucidates the concentration-dependent bidirectional regulation of ADO.

Indexed as

adenosineNK92 cellstumor cellstumor microenvironment

Identifiers

PMID40873500
PMCPMC12378536

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.