ArticleFrontiers in oncology2021
Integrated Bioinformatic Analysis of the Expression and Prognosis of Caveolae-Related Genes in Human Breast Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 8 citations in OpenAlex.
- Site-Specific Phosphoproteomic Profiling of CAV1 Reveals Co-Regulatory Kinase Networks in Cancer Signaling.International journal of molecular sciences · 2026Article
- Cavin gene family and caveolae-related disorders: pathogenetic roles and possible mechanisms.Cell communication and signaling : CCS · 2026Review
- GNAL-driven calcium signaling reshapes the spatiotemporal immune landscape in ERTranslational cancer research · 2026Article
- A prognostic model derived from PANoptosis-associated subtypes unveils immunological features and therapeutic vulnerabilities in cervical cancer.Discover oncology · 2025Article
- Unveiling the prognostic value of ARID3A in breast cancer through bioinformatic analysis.Heliyon · 2025Article
- Integration of CRISPR/dCas9-Based methylation editing with guide positioning sequencing identifies dynamic changes of mrDEGs in breast cancer progression.Cellular and molecular life sciences : CMLS · 2025Article
- Identification of the role of MED6 in the development and prognosis of lung adenocarcinoma based on multi-omics profiling.Journal of Cancer · 2025Article
- Propofol reduces breast cancer cell stemness via FOXO3/SOX2 axis.Journal of Cancer · 2025Article
- The Clinical Prediction Value of the Ubiquitination Model Reflecting the Microenvironment Infiltration and Drug Sensitivity in Breast Cancer.Journal of Cancer · 2025Article
- Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data.Computational and structural biotechnology journal · 2024Article
- Expression Profiles of Dopamine-Related Genes and miRNAs Regulating Their Expression in Breast Cancer.International journal of molecular sciences · 2024Article
- A mechanosensitive caveolae-invadosome interplay drives matrix remodelling for cancer cell invasion.Nature cell biology · 2023Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Caveolae-related genes, including CAVs that encodes caveolins and CAVINs that encodes caveolae-associated proteins cavins, have been identified for playing significant roles in a variety of biological processes including cholesterol transport and signal transduction, but evidences related to tumorigenesis and cancer progression are not abundant to correlate with clinical characteristics and prognosis of patients with cancer. In this study, we investigated the expression of these genes at transcriptional and translational levels in patients with breast cancer using Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), cBioPortal databases, and immunohistochemistry of the patients in our hospital. Prognosis of patients with breast cancer based on the expressions of CAVs and CAVINs was summarized using Kaplan-Meier Plotter with their correlation to different subtyping. The relevant molecular pathways of these genes were further analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database and Gene Set Enrichment Analysis (GSEA). Results elucidated that expression levels of CAV1, CAV2, CAVIN1, CAVIN2, and CAVIN3 were significantly lower in breast cancer tissues than in normal samples, while the expression level of CAVIN2 was correlated with advanced tumor stage. Furthermore, investigations on survival of patients with breast cancer indicated outstanding associations between prognosis and CAVIN2 levels, especially for the patients with estrogen receptor positive (ER+) breast cancer. In conclusion, our investigation indicated CAVIN2 is a potential therapeutic target for patients with ER+ breast cancer, which may relate to functions of cancer cell surface receptors and adhesion molecules.
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