Evidence map›Paper›PMID 37724140›Full record

ArticleReports of biochemistry & molecular biology2023

Transcriptome Data Reveal Geographic Heterogeneity in Gene Expression in Patients with Prostate Cancer.

Yi Zheng, Yang Wang, Haitian He, Zhuping Zou, Huiling Lu, Jinlong Li, Jun Cai, Kebing Wang

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In one paragraph

Article in Reports of biochemistry & molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yi ZhengCenter for Medical Experiments (CME), University of Chinese Academy Sciences-Shenzhen Hospital, Shenzhen, China.
Yang WangThe Department of Urology of Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Haitian HeThe Department of Urology of Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Zhuping ZouThe Operating Room of Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Huiling LuThe Operating Room of Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Jinlong LiTB Healthcare Co., Ltd., Foshan, China.
Jun CaiTB Healthcare Co., Ltd., Foshan, China.
Kebing WangThe Department of Urology of Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of prostate cancer (PC) exhibits geographical heterogeneity. However, the metabolic mechanisms underlying this geographic heterogeneity remain unclear. This study aimed to reveal the metabolic mechanism of the geographic heterogeneity in the incidence of PC.This study aimed to investigate the anti-cancer effects of different gum extracts on metabolic changes and their impact on gene expression in HT-29 cell. Methods: Transcriptomic data from public databases were obtained and analyzed to screen geographic-differentially expressed genes and metabolic pathways. Associations between these differentially expressed genes and the incidence of PC were determined to identify genes that were highly associated with PC incidence. A co-expression network analysis was performed to identify geographic-specific regulatory pathways. Results: A total of 175 differentially expressed genes were identified in four countries and were associated with the regulation of DNA replication and the metabolism of pyrimidine, nucleotides, purines, and galactose.Additionally, the expression of the genes Conclusions: This study suggests that geographic heterogeneity in PC incidence is associated with the expression levels of genes associated with amino acid metabolism, lipid metabolism, and ion channels.

Indexed as

Differentially expressed genesGeographical heterogeneityMetabolic pathwayProstate cancer

Identifiers

PMID37724140
PMCPMC10505463

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