ArticleCancer biomarkers : section A of Disease markers2024
Long non-coding RNAs PTENP1, GNG12-AS1, MAGI2-AS3 and MEG3 as tumor suppressors in breast cancer and their associations with clinicopathological parameters.
Article in Cancer biomarkers : section A of Disease markers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Evaluation of Expression and Clinicopathological Relevance of Small Nucleolar RNAs (snoRNAs) in Invasive Breast Cancer.Non-coding RNA · 2025Article
- Genomic data mining reveals hub genes and lncRNAs as prognostic biomarkers in breast cancer.Scientific reports · 2025Article
- A nine-gene signature with potential targets for predicting the prognosis of patients with esophageal cancer.Translational cancer research · 2025Article
- Variable roles of miRNA- and apoptosis-linked genes in invasive breast cancer: expression patterns, clinicopathological associations, and prognostic significance.Molecular biology reports · 2025Article
- Article
- The Role of Urothelial Cancer-Associated 1 in Gynecological Cancers.Current issues in molecular biology · 2024Review
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer is the most commonly occurring cancer worldwide and is the main cause of death from cancer in women. Novel biomarkers are highly warranted for this disease.
objectiveEvaluation of novel long non-coding RNAs biomarkers for breast cancer.
methodsThe study comprised the analysis of the expression of 71 candidate lncRNAs via screening, six of which (four underexpressed, two overexpressed) were validated and analyzed by qPCR in tumor tissues associated with NST breast carcinomas, compared with the benign samples and with respect to their clinicopathological characteristics.
resultsThe results indicated the tumor suppressor roles of PTENP1, GNG12-AS1, MEG3 and MAGI2-AS3. Low levels of both PTENP1 and GNG12-AS1 were associated with worsened progression-free and overall survival rates. The reduced expression of GNG12-AS1 was linked to the advanced stage. A higher grade was associated with the lower expression of PTENP1, GNG12-AS1 and MAGI2-AS3. Reduced levels of both MEG3 and PTENP1 were linked to Ki-67 positivity. The NRSN2-AS1 and UCA1 lncRNAs were overexpressed; higher levels of UCA1 were associated with multifocality.
conclusionsThe results suggest that the investigated lncRNAs may play important roles in breast cancer and comprise a potential factor that should be further evaluated in clinical studies.
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