ArticleBreast cancer (Tokyo, Japan)2022
Comprehensive analysis of DRAIC and TP53TG1 in breast cancer luminal subtypes through the construction of lncRNAs regulatory model.
Article in Breast cancer (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 6 citations in OpenAlex.
- Emerging role of lncRNA TP53TG1 as a tumor regulator and biomarker in human malignancies.Discover oncology · 2026Review
- Targeting TP53TG1: a promising prognostic biomarker and therapeutic target for personalized cancer therapy.Discover oncology · 2025Review
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2 authors at 1 institution in 1 country.
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Abstract
backgroundDeciphering new molecules related to the breast cancer subtypes is crucial for prognosis and determining a better strategy for targeted therapy. In this study, we aimed to model ceRNAs networks in luminal A and luminal B subtypes of breast cancer and then delve deeper into the role of two candidate lncRNAs in breast tumors.
methodsWe constructed two networks as a regulatory model based on our previously identified transcription factors (TFs) and miRNAs with associated lncRNAs. Then, we highlighted the role of some lncRNAs in luminal subtypes of breast cancer using available online databases. Furthermore, we empirically quantified the expression levels of two candidate lncRNAs (DRAIC and TP53TG1) in breast tumors and normal tissues.
resultsHere, we proposed a regulatory model for TFs-miRNAs-lncRNAs in luminal subtypes of breast cancer. We found 18 and 17 differentially expressed lncRNAs in luminal A and luminal B subtypes, respectively. Of these lncRNAs, 16 were associated with breast cancer patients' RFS and/or OS rates. Well-known lncRNAs like HOTAIR and MALAT1 were identified as central factors associated with patients' survival rates in both networks. Based on the results acquired from our comprehensive in-silico data analysis, we carried out clinical experiments on two less-known lncRNAs, DRAIC and TP53TG1, and found a significant association between them with luminal subtypes of breast cancer. Interestingly, we discovered a significant association between DRAIC and TP53TG1 lncRNAs with ER- and PR-positive samples and lymph-node invasion in breast cancer patients.
conclusionAccording to the results, DRAIC and TP53TG1 lncRNAs are overexpressed in breast tumors and may play an oncogenic role with a moderate value of prognosis for luminal subtypes of breast cancer.
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