ArticleJournal of immunology research2022
Development and Validation of a Novel PPAR Signaling Pathway-Related Predictive Model to Predict Prognosis in Breast Cancer.
Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Prognostic and immune microenvironment analysis of cuproptosis-related LncRNAs in breast cancer.Functional & integrative genomics · 2023Trial
- Identification of integrated stress response-related prognostic genes in high-grade serous ovarian cancer using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing.Frontiers in oncology · 2026Article
- Dexmedetomidine and dezocine targets (NR1H3 and ADRB1) are potential prognostic biomarkers for breast cancer.Discover oncology · 2025Article
- Fragile X mental retardation 1 gene FMR1 promotes proliferation, migration, and invasion of gastric cancer cells via c-MYC.Journal of translational medicine · 2025Article
- Development of a promising PPAR signaling pathway-related prognostic prediction model for hepatocellular carcinoma.Scientific reports · 2024Article
- TREM1 is involved in the mechanism between asthma and lung cancer by regulating the Toll‑like receptor signaling pathway.Oncology letters · 2024Article
- Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP.BMC bioinformatics · 2023Article
- Screening of novel biomarkers for breast cancer based on WGCNA and multiple machine learning algorithms.Translational cancer research · 2023Article
- Prognostic Signature and Therapeutic Value Based on Membrane Lipid Biosynthesis-Related Genes in Breast Cancer.Journal of oncology · 2022Article
- Cell Division Cycle-Associated Protein 3 (CDCA3) Is a Potential Biomarker for Clinical Prognosis and Immunotherapy in Pan-Cancer.BioMed research international · 2022Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study is aimed at exploring the potential mechanism of the PPAR signaling pathway in breast cancer (BRCA) and constructing a novel prognostic-related risk model. We used various bioinformatics methods and databases to complete our exploration in this research. Based on TCGA database, we use multiple extension packages based on the R language for data conversion, processing, and statistics. We use LASSO regression analysis to establish a prognostic-related risk model in BRCA. And we combined the data of multiple online websites, including GEPIA, ImmuCellAI, TIMER, GDSC, and the Human Protein Atlas database to conduct a more in-depth exploration of the risk model. Based on the mRNA data in TCGA database, we conducted a preliminary screening of genes related to the PPAR signaling pathway through univariate Cox analysis, then used LASSO regression analysis to conduct a second screening, and successfully established a risk model consisting of ten genes in BRCA. The results of ROC curve analysis show that the risk model has good prediction accuracy. We can successfully divide breast cancer patients into high- and low-risk groups with significant prognostic differences (
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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.