ArticleAmerican journal of translational research2018
Analysis of differentially expressed genes, clinical value and biological pathways in prostate cancer.
Article in American journal of translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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Who cites it
38 citing papers in PubMed, 55 citations in OpenAlex.
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- Data-Driven Identification of Early Cancer-Associated Genes via Penalized Trans-Dimensional Hidden Markov Models.Biomolecules · 2025Article
- Germinal center trajectories and transcriptional signatures define CLL subtypes and their pathway regulators.PloS one · 2025Article
- Metabolomics reveals altered metabolites in cirrhotic patients with severe portal hypertension in Tibetan population.Frontiers in medicine · 2024Article
- The Potential of Extracellular Matrix- and Integrin Adhesion Complex-Related Molecules for Prostate Cancer Biomarker Discovery.Biomedicines · 2023Review
- A novel anoikis-related risk model predicts prognosis in patients with colorectal cancer and responses to different immunotherapy strategies.Journal of cancer research and clinical oncology · 2023Article
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- PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.BMC bioinformatics · 2023Article
- Analysis of a Four-Component Competing Endogenous RNA Network Reveals Potential Biomarkers in Gastric Cancer: An Integrated Systems Biology and Experimental Investigation.Advanced biomedical research · 2023Article
- Identifying colon cancer stage related genes and their cellular pathways.Frontiers in genetics · 2023Article
- Effects of arginine vasopressin on the transcriptome of prefrontal cortex in autistic rat model.Journal of cellular and molecular medicine · 2022Article
- The Impact of PIK3R1 Mutations and Insulin-PI3K-Glycolytic Pathway Regulation in Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Methylation Subtypes of Primary Prostate Cancer Predict Poor Prognosis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Development of a Model System to Study Expression Profile of RAC2 Gene in Breast Cancer MDA-MB-231 Cell Line.Evidence-based complementary and alternative medicine : eCAM · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the gene expression changes in prostate cancer (PC) and screen the hub genes and associated pathways of PC progression. The authors employed integrated analysis of GSE46602 downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas databases to identify 484 consensual differentially expressed genes (DEGs) in PC, when compared with adjacent normal tissue samples. Functional annotation and pathway analysis were performed. The protein-protein interaction (PPI) networks and module were constructed. RT-qPCR was used to validate the results in clinical PC samples. Survival analysis of hub genes was performed to explore their clinical value. GO analysis results revealed that DEGs were significantly enriched in negative regulation of nitrobenzene metabolic process, extracellular space and protein homodimerization activity. KEGG pathway analysis results revealed that DEGs were most significantly enriched in focal adhesion. The top 10 hub genes were identified to be hub genes from the PPI network, and the model revealed that these genes were enriched in various pathways, including neuroactive ligand-receptor interaction, p53 and glutathione metabolism signaling pathways. RT-qPCR results validated that expression levels of eight genes (PIK3R1, BIRC5, ITGB4, RRM2, TOP2A, ANXA1, LPAR1 and ITGB8) were consistent with the bioinformatics analysis. ITGB4 and RRM2 with genetic alterations exhibited association with a poorer survival rate, compared with those without alterations. These results revealed that PC-related genes and pathways have an important role in tumor expansion, metastasis and prognosis. In summary, these hub genes and related pathways may act as biomarkers or therapeutic targets for PC.
Indexed as
Identifiers
29887958PMC5992552W2989907502What OpenQuestion holds
Registered trials
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.