ArticleOncoTargets and therapy2018
Upregulated long non-coding RNAs demonstrate promising efficacy for breast cancer detection: a meta-analysis.
Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Appraising circular RNAs as novel biomarkers for the diagnosis and prognosis of gastric cancer: A pair-wise meta-analysis.Journal of clinical laboratory analysis · 2020Pooled it
- Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis.BioMed research international · 2020Pooled it
- Prognostic and diagnostic values of non-coding RNAs as biomarkers for breast cancer: An umbrella review and pan-cancer analysis.Frontiers in molecular biosciences · 2023Article
- Identification of lncRNA biomarkers for lung cancer through integrative cross-platform data analyses.Aging · 2020Article
- Application of positive behavior management in patients after breast cancer surgery.World journal of clinical cases · 2020Article
- The role of long non-coding RNA H19 in breast cancer.Oncology letters · 2020Review
- LncRNA-LOC101928316 contributes to gastric cancer progression through regulating PI3K-Akt-mTOR signaling pathway.Cancer medicine · 2019Article
- Interplay of lncRNA H19/miR-675 and lncRNA NEAT1/miR-204 in breast cancer.Molecular oncology · 2019Article
- Non-Coding RNAs in Breast Cancer: Intracellular and Intercellular Communication.Non-coding RNA · 2018Review
- [Urinary long non-coding RNA H19 may serve as a biomarker for early diagnosis of acute intestinal necrosis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018Article
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4 authors.
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Abstract
purposeFocusing on the latest literature, dysregulated long non-coding RNAs (lncRNAs) have been extensively explored in breast cancer (BC) research. The purpose of this meta-analysis is to synthesize the evidence on the diagnostic performance of abnormally expressed lncRNAs for BC. MATERIALS AND
methodsRelevant studies were searched in multiple electronic databases. The Quality Assessment of Diagnosis Accuracy Studies II criteria were applied to assess the quality of included studies. The bivariate meta-analysis model was applied to synthesize the diagnostic parameters using Stata 12.0 software. Publication bias was judged in terms of the Deek's funnel plot asymmetry test.
resultsWe included 10 eligible studies, which comprised 835 BC patients and 725 paired controls for this meta-analysis. The pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio positive, likelihood ratio negative, and area under the curve (AUC) of upregulated lncRNA expression signature in confirming BC were 0.79 (95% CI: 0.70-0.85), 0.80 (95% CI: 0.73-0.85), 14.61 (95% CI: 10.91-19.55), 3.90 (95% CI: 3.03-5.02), 0.27 (95% CI: 0.20-0.36), and 0.86, respectively. Stratified analyses yielded a sensitivity of 0.83 (95% CI: 0.80-0.86) for serum-based analysis, which was higher than plasma-based analysis, whereas plasma-based analysis revealed a greater specificity of 0.88 (95% CI: 0.85-0.91). Moreover, lncRNA-homeotic genes (HOX) transcript antisense RNA showed a pooled specificity of 0.89 (95% CI: 0.84-0.93) and AUC of 0.86, which were superior to performances by lncRNA-metastasis-associated lung adenocarcinoma transcript-1 and -H19 in diagnosing BC. Notably, the analysis based on cancer subtypes demonstrated that lncRNA expression signature could distinguish triple-negative BC (lacks estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expression) from non-triple-negative BC, with an AUC of 0.85.
conclusionUpregulated lncRNAs reveal an immense potential as novel non-invasive biomarker(s) that could complement BC diagnosis.
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