Evidence map›Paper›PMID 35251177›Full record

ArticleJournal of oncology2022

PGM1 and ENO1 Promote the Malignant Progression of Bladder Cancer via Comprehensive Analysis of the m6A Signature and Tumor Immune Infiltration.

Jinglin Zhao, Shu Huang, Dingji Tan, Kaiqing Yang, Mingyue Chen, Xiongfei Jia, Xiaoqin Mao

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 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
0.9field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. RNA NNature reviews. Urology · 2024
    Review
  8. Article
  9. RNA mMolecular oncology · 2023
    Review
  10. Article
  11. 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

7 authors at 3 institutions in 1 country.

Jinglin ZhaoInstitute of Laboratory Medicine, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID https://orcid.org/0000-0003-4687-3846
Shu HuangInstitute of Laboratory Medicine, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID https://orcid.org/0000-0003-3654-4782
Dingji TanKunming Medical University, Faculty of Medical Laboratory Science, The Third Affiliated Hospital of Kunming University, Kunming 650000, Yunnan, China.ORCID https://orcid.org/0000-0002-0793-2551
Kaiqing YangInstitute of Laboratory Medicine, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID https://orcid.org/0000-0002-6866-5565
Mingyue ChenDepartment of Neurology, Affiliated Hospital of North Sichuan Medical College, Institute of Neurological Diseases, North Sichuan Medical College, Nanchong 637000, Sichuan, China.ORCID https://orcid.org/0000-0002-8606-4114
Xiongfei JiaDepartment of Clinical Laboratory, 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Kunming 650000, Yunnan, China.ORCID https://orcid.org/0000-0002-8025-5876
Xiaoqin MaoInstitute of Laboratory Medicine, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID https://orcid.org/0000-0002-3022-9063
Kunming University of Science and Technology · CNAffiliated Hospital of North Sichuan Medical College · CNKunming University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile N

methodsWe extracted m6A regulators from published literature, downloaded BLCA RNA-seq and clinical information from the Cancer Genome Atlas database, and integrated three main bioinformatic methods and qPCR to explore the biological variations in the malignant progression of BLCA.

resultsFTO, IGF2BP3, and YTHDC1 have a significant difference in bladder cancer and prognosis. Two subgroups (clusters 1 and 2) were identified according to three key m6A regulators; cluster 1 was preferentially associated with poor prognosis and immune infiltration relative to cluster 2 significantly. We further identified PGM1 and ENO1 as potential prognostic biomarkers, as they were correlated with FTO and IGF2BP3 positively but with YTHDC1, negatively. M2 macrophage and TFH cells were highly infiltrated in BLCA and were associated with BLCA prognosis. Finally, PGM1 and ENO1 were correlated with M2 macrophage and TFH cells and their surface markers CD163and CXCR5.

conclusionsPGM1 and ENO1 are highly correlated with the malignant progression of BLCA, and the expression of these genes may be new indicators for the diagnosis and prognosis of BLCA.

Identifiers

PMID35251177
PMCPMC8894041
OpenAlexW4213454097

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.