Evidence map›Paper›PMID 39145061›Full record

ArticleTranslational cancer research2024

Characteristics, clinical significance, and cancer immune interactions of lipid metabolism in prostate cancer.

Zhipeng Xu, Xu Xu, Jianpeng Hu, Jian Tan, Yuanye Wan, Feilun Cui

Abstract read
In one paragraph

Article in Translational cancer research, 2024. 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

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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

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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

6 authors.

Zhipeng XuDepartment of Urology, Affiliated People's Hospital of Jiangsu University, The First People's Hospital of Zhenjiang, Zhenjiang, China.ORCID https://orcid.org/0009-0009-5751-1112
Xu XuDepartment of Urology, Affiliated People's Hospital of Jiangsu University, The First People's Hospital of Zhenjiang, Zhenjiang, China.
Jianpeng HuDepartment of Urology, Affiliated People's Hospital of Jiangsu University, The First People's Hospital of Zhenjiang, Zhenjiang, China.
Jian TanDepartment of Urology, Affiliated People's Hospital of Jiangsu University, The First People's Hospital of Zhenjiang, Zhenjiang, China.
Yuanye WanDepartment of Urology, Affiliated People's Hospital of Jiangsu University, The First People's Hospital of Zhenjiang, Zhenjiang, China.
Feilun CuiDepartment of Urology, Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between lipid metabolism, immune response, and immunotherapy in prostate cancer (PCa) is closely intertwined, and targeted intervention in lipid metabolism may facilitate the success of anticancer immunotherapy. This research attempted to explore effective immunotherapy for PCa. Methods: We obtained RNA sequencing (RNA-seq) data for PCa patients from the UCSC Xena platform. Data analysis of differentially expressed genes (DEGs) was performed using package limma in R. Then, DEGs were subjected to enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The Human Protein Atlas (HPA) database was conducted to validate the protein expression of the up-regulated lipid metabolism related genes (LMRGs) between PCa tissues and normal prostate tissues. And then we identified critical transcription factors (TFs), LMRGs and miRNA by constructing a regulatory network of TF-gene-miRNA. Furthermore, we determined the high and low groups based on the score of lipid metabolism enrichment. The hallmark gene sets were derived from gene expression profiles using the gene set variation analysis (GSVA) R package. Finally, we conducted immune infiltration analysis and drug sensitivity analysis. Results: Immune response and lipid metabolism have undergone significant changes in PCa and paracancerous tissues compared to normal tissues. A total of 21 LMRGs were differentially up-regulated in PCa. The TF-gene-miRNA network showed that Conclusions: The analysis of lipid metabolism and related genes has revealed a complex regulatory mechanism that has a significant influence on immune response, immunotherapy, and medication guidance for patients with PCa. Keywords: Prostate cancer (PCa); lipid metabolism; cancer immune; RNA sequencing (RNA-seq).

Identifiers

PMID39145061
PMCPMC11319944

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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.