Evidence map›Paper›PMID 37809064›Full record

ArticleFrontiers in immunology2023

The role of APOBEC3C in modulating the tumor microenvironment and stemness properties of glioma: evidence from pancancer analysis.

Shoudu Zhang, Yugang Guo, Yuanzheng Hu, Xiaofang Gao, Fanghui Bai, Qian Ding, Kaiqi Hou, Zongqing Wang, Xing Sun, Hui Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Article
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  8. Review
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

12 authors at 2 institutions in 1 country.

Shoudu ZhangHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Yugang GuoHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Yuanzheng HuHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Xiaofang GaoThe Department of Science and Technology, Zhengzhou Revogene Ltd, Zhengzhou, Henan, China.
Fanghui BaiDepartment of Oncology, Nanyang central Hospital, Nanyang, Henan, China.
Qian DingHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Kaiqi HouHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Zongqing WangHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Xing SunDepartment of Oncology, Nanyang central Hospital, Nanyang, Henan, China.
Hui ZhaoThe Department of Science and Technology, Zhengzhou Revogene Ltd, Zhengzhou, Henan, China.
Zhongyu QuDepartment of Oncology, Nanyang central Hospital, Nanyang, Henan, China.
Qian XuHenan Provincial Engineering Laboratory of Insects Bio-reactor, Nanyang Normal University, Nanyang, Henan, China.
Nanyang Normal University · CNNanyang Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is now understood that APOBEC3 family proteins (A3s) are essential in tumor progression, yet their involvement in tumor immunity and stemness across diverse cancer types remains poorly understood. Methods: In the present study, comprehensive genome-wide statistical and bioinformatic analyses were conducted to elucidate A3 family expression patterns, establishing clinically relevant correlations with prognosis, the tumor microenvironment(TME), immune infiltration, checkpoint blockade, and stemness across cancers. Different experimental techniques were applied, including RT-qPCR, immunohistochemistry, sphere formation assays, Transwell migration assays, and wound-healing assays, to investigate the impact of A3C on low-grade glioma (LGG) and glioblastoma multiforme (GBM), as well as its function in glioma stem cells(GSCs). Results: Dysregulated expression of A3s was observed in various human cancer tissues. The prognostic value of A3 expression differed across cancer types, with a link to particularly unfavorable outcomes in gliomas. A3s are associated with the the TME and stemness in multiple cancers. Additionally, we developed an independent prognostic model based on A3s expression, which may be an independent prognostic factor for OS in patients with glioma. Subsequent validation underscored a strong association between elevated A3C expression and adverse prognostic outcomes, higher tumor grades, and unfavorable histology in glioma. A potential connection between A3C and glioma progression was established. Notably, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses implicated A3C in immune system-related diseases, with heightened A3C levels contributing to an immunosuppressive tumor microenvironment (TME) in glioma. Furthermore, Conclusion: The A3 family exhibits heterogeneous expression across various cancer types, with its expression profile serving as a predictive marker for overall survival in glioma patients. A3C emerges as a regulator of glioma progression, exerting its influence through modulation of the tumor microenvironment and regulation of stemness.

Indexed as

GlioblastomaGliomaBiological AssayComputational BiologyCytidine DeaminaseHumansTumor MicroenvironmentAPOBEC3C protein, humanCytidine DeaminaseA3 familypan-cancer analysisprognosisstemnesstumor microenvironment

Identifiers

PMID37809064
PMCPMC10551170
OpenAlexW4386927414

What OpenQuestion holds

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LicenceCC BY
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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.