ArticleIranian journal of biotechnology2024
Evaluation of lncRNAs as Potential Biomarkers for Diagnosis of Metastatic Triple-Negative Breast Cancer through Bioinformatics and Machine Learning.
Article in Iranian journal of biotechnology, 2024. 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.
- Lnc RNA GAPLINC affects triple-negative breast cancer progression through the miR-331-3p/IGF2BP1 axis.World journal of surgical oncology · 2026Article
- Article
- Treatment strategies targeting the phosphoinositide 3-kinase/protein kinase B/mechanistic target of rapamycin pathway against triple-negative breast cancer.World journal of clinical oncology · 2025Review
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Abstract
Background: Triple-negative breast cancer (TNBC) is highly invasive and metastatic to the lymph nodes. Therefore, it is an urgent priority to distinguish novel biomarkers and molecular mechanisms of lymph node metastasis as the first step to the disease investigation. Long non-coding RNAs (lncRNAs) have widely been explored in cancer tumorigenesis, progression, and invasion. Objectives: This study aimed to identify and evaluate lncRNAs in the signaling pathway of Materials and Methods: Using machine learning algorithms, we analyzed the available BC data from the Cancer Genome Atlas Network (TCGA) and identified three potential lncRNAs, gastric adenocarcinoma-associated, positive CD44 regulator, long intergenic noncoding RNA ( Results: The results showed the upregulation of Conclusion: Given the aberrant expression of candidate lncRNAs and the underlying mechanisms, the above-mentioned RNAs could act as novel diagnostic and prognostic biomarkers in metastatic BC.
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