ArticleFrontiers in genetics2022
ATP6AP1 is a potential prognostic biomarker and is associated with iron metabolism in breast cancer.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 8 citations in OpenAlex.
- Niclosamide suppresses breast cancer progression and enhances paclitaxel sensitivity by targeting the ATP6AP1-YY1-XIAP axis.Acta pharmacologica Sinica · 2026Article
- Comprehensive big data analysis reveals SLC10A3 as a potential biomarker in head and neck cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- ATP6AP1 promotes cell proliferation and tamoxifen resistance in luminal breast cancer by inducing autophagy.Cell death & disease · 2025Article
- Genetic Alterations in War-Related Post-Traumatic Stress Disorder: A Systematic Review.Bulletin of emergency and trauma · 2025Review
- Comparative proteomics of HepG2 cells reveals NGLY1 as an important regulator of ferroptosis resistance and iron uptake.PloS one · 2025Article
- Exploring gastric cancer genetics: A turning point in common variable immunodeficiency.The journal of allergy and clinical immunology. Global · 2024Article
- Lumbosacral spinal proteomic changes during PAR4-induced persistent bladder pain.Neuroscience letters · 2024Article
- Aberrant Expressions ofCurrent genomics · 2023Article
- Establishment of a lysosome-related prognostic signature in breast cancer to predict immune infiltration and therapy response.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer occurrence and progression may be facilitated by aberrant expression of ATPase H+ transporting accessory protein 1 (ATP6AP1). However, the clinical relevance of ATP6AP1 in breast cancer remains unclear. In this study, we investigated the association between ATP6AP1 and breast cancer. Data collected from patients with breast cancer from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were used in this study. To determine the relationship between ATP6AP1 and breast cancer survival rates, Kaplan-Meier analysis was used. To determine the prognostic value of ATP6AP1, a receiver operating characteristic (ROC) curve was constructed. To identify the major pathways involving ATP6AP1, we performed functional enrichment analysis using gene set enrichment analysis (GSEA). We analyzed the association between ATP6AP1 expression and tumor immunity using the ESTIMATE algorithm and single-sample GSEA (ssGSEA). A nomogram based on a Cox regression analysis was constructed to predict the impact of ATP6AP1 on prognosis. ATP6AP1 expression was significantly upregulated in breast cancer tissues. Moreover, patients with elevated ATP6AP1 expression had shorter total survival rates than those with lower expression levels (
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