ArticleAging2021
Prognostic value of members of NFAT family for pan-cancer and a prediction model based on NFAT2 in bladder cancer.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Towards precision medicine strategies using plasma proteomic profiling for suspected gallbladder cancer: A pilot study.JHEP reports : innovation in hepatology · 2025Article
- NFAT2 Induces Tumor Cell Proliferation and Metastasis by Acting as a Transcriptional Co-activator of the TGF-β1/SMAD Signaling Pathway and Inducing the Epithelial-Mesenchymal Transition in Liver Cancer.Digestive diseases and sciences · 2025Article
- Single-cell chromatin accessibility reveals malignant regulatory programs in primary human cancers.Science (New York, N.Y.) · 2024Article
- Crosstalk among Alternative Polyadenylation, Genetic Variants and Ubiquitin Modification Contribute to Lung Adenocarcinoma Risk.International journal of molecular sciences · 2024Article
- SAFB2 Inhibits the Progression of Breast Cancer by Suppressing the Wnt/β-Catenin Signaling Pathway via NFAT5.Molecular biotechnology · 2023Article
- Long Non-Coding RNAs as Novel Targets for Phytochemicals to Cease Cancer Metastasis.Molecules (Basel, Switzerland) · 2023Review
- Article
- Identification of Feature Genes of a Novel Neural Network Model for Bladder Cancer.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BLCA) is one of the common malignant tumors of the urinary system. The poor prognosis of BLCA patients is due to the lack of early diagnosis and disease recurrence after treatment. Increasing evidence suggests that gene products of the nuclear factor of activated T-cells (NFAT) family are involved in BLCA progression and subsequent interaction(s) with immune surveillance. In this study, we carried out a pan-cancer analysis of the NFAT family and found that NFAT2 is an independent prognostic factor for BLCA. We then screened for differentially expressed genes (DEGs) and further analyzed such candidate gene loci using gene ontology enrichment to curate the KEGG database. We then used Lasso and multivariate Cox regression to identify 4 gene loci (FER1L4, RNF128, EPHB6, and FN1) which were screened together with NFAT2 to construct a prognostic model based on using Kaplan-Meier analysis to predict the overall survival of BLCA patients. Moreover, the accuracy of our proposed model is supported by deposited datasets in the Gene Expression Omnibus (GEO) database. Finally, a nomogram of this prognosis model for BLCA was established which could help to provide better disease management and treatment.
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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.