Evidence map›Paper›PMID 37033963›Full record

ArticleFrontiers in immunology2023

The m

Chao Li, Dongyi Peng, Yu Gan, Lei Zhou, Weibin Hou, Bingzhi Wang, Peng Yuan, Wei Xiong, Long Wang

Abstract 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 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. 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

9 authors.

Chao LiDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Dongyi PengDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Yu GanDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Lei ZhouDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Weibin HouDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Bingzhi WangDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Peng YuanDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Wei XiongDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.
Long WangDepartment of Urology, Third Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the recent progress of therapeutic strategies in treating prostate cancer (PCa), the majority of patients still eventually relapse, experiencing dismal outcomes. Therefore, it is of utmost importance to identify novel viable targets to increase the effectiveness of treatment. The present study aimed to investigate the potential relationship between N6-methyladenosine (m6A) RNA modification and PCa development and determine its clinical relevance. Methods: Through systematic analysis of the TCGA database and other datasets, we analyzed the gene expression correlation and mutation profiles of m6A-related genes between PCa and normal tissues. Patient samples were divided into high- and low-risk groups based on the results of Least Absolute Shrinkage and Selection Operator (LASSO) Cox analysis. Subsequently, differences in biological processes and genomic characteristics of the two risk groups were determined, followed by functional enrichment analysis and gene set enrichment (GSEA) analysis. Next, we constructed the protein-protein interaction (PPI) network of differentially expressed genes between patients in high- and low-risk groups, along with the mRNA-miRNA-lncRNA network. The correlation analysis of tumor-infiltrating immune cells was further conducted to reveal the differences in immune characteristics between the two groups. Results: A variety of m6A-related genes were identified to be differentially expressed in PCa tissues as compared with normal tissues. In addition, the PPI network contained 278 interaction relationships and 34 m6A-related genes, and the mRNA-miRNA-lncRNA network contained 17 relationships, including 91 miRNAs. Finally, the immune characteristics analysis showed that compared with the low-risk group, the levels of M1 and M2 macrophages in the high-risk group significantly increased, while the levels of mast cells resting and T cells CD4 memory resting significantly decreased. Conclusions: This study provides novel findings that can further the understanding of the role of m6A methylation during the progression of PCa, which may facilitate the invention of targeted therapeutic drugs.

Indexed as

AdenocarcinomaMicroRNAsProstatic NeoplasmsRNA, Long NoncodingClinical RelevanceHumansMaleMethylationNeoplasm Recurrence, LocalProstateMicroRNAsRNA, Long Noncodingimmune infiltrationmolecular characterizationprognosisprostate adenocarcinomaRNA N6-methyladenosine

Identifiers

PMID37033963
PMCPMC10076583

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.