ArticleFrontiers in oncology2021
Prognostic and Predictive Value of Transcription Factors Panel for Digestive System Carcinoma.
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 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- GJB2, a novel transcription target of HSF4, confers tumorigenic and metastatic phenotypes and sustains mitochondrial homeostasis in lung adenocarcinoma via the PI3K/AKT pathway.Cell adhesion & migration · 2026Article
- Ferroptosis and Ferroptosis-related autophagy: new therapeutic targets for gastric cancer.American journal of cancer research · 2026Review
- Comprehensive analysis of zinc finger protein 367 as a potential pan-cancer diagnostic and prognostic biomarker and underlying biological mechanisms.Discover oncology · 2025Article
- Phosphorylated FOXQ1, a novel substrate of JNK1, inhibits sorafenib-induced ferroptosis by activating ETHE1 in hepatocellular carcinoma.Cell death & disease · 2024Article
- Bioinformatics-driven identification of prognostic biomarkers in kidney renal clear cell carcinoma.Frontiers in nephrology · 2024Article
- Identification and Validation of a m5C RNA Modification-Related Gene Signature for Predicting Prognosis and Immunotherapeutic Efficiency of Gastric Cancer.Journal of oncology · 2023Article
- Hyperactivation of MAPK Induces Tamoxifen Resistance in SPRED2-Deficient ERα-Positive Breast Cancer.Cancers · 2022Article
- Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19.Frontiers in genetics · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDigestive system carcinoma is one of the most devastating diseases worldwide. Lack of valid clinicopathological parameters as prognostic factors needs more accurate and effective biomarkers for high-confidence prognosis that guide decision-making for optimal treatment of digestive system carcinoma. The aim of the present study was to establish a novel model to improve prognosis prediction of digestive system carcinoma, with a particular interest in transcription factors (TFs). MATERIALS AND
methodsA TF-related prognosis model of digestive system carcinoma with data from TCGA database successively were processed by univariate and multivariate Cox regression analyses. Then, for evaluating the prognostic prediction value of the model, ROC curve and survival analysis were performed by external data from GEO database. Furthermore, we verified the expression of TFs expression by qPCR in digestive system carcinoma tissue. Finally, we constructed a TF clinical characteristics nomogram to furtherly predict digestive system carcinoma patient survival probability with TCGA database.
resultsBy Cox regression analysis, a panel of 17 TFs (NFIC, YBX2, ZBTB47, ZNF367, CREB3L3, HEYL, FOXD1, TIGD1, SNAI1, HSF4, CENPA, ETS2, FOXM1, ETV4, MYBL2, FOXQ1, ZNF589) was identified to present with powerful predictive performance for overall survival of digestive system carcinoma patients based on TCGA database. A nomogram that integrates TFs was established, allowing efficient prediction of survival probabilities and displaying higher clinical utility.
conclusionThe 17-TF panel is an independent prognostic factor for digestive system carcinoma, and 17 TFs based nomogram might provide implication an effective approach for digestive system carcinoma patient management and treatment.
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