ArticleScientific reports2016
Transcriptome sequencing uncovers a three-long noncoding RNA signature in predicting breast cancer survival.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 83 citations in OpenAlex.
- Exploring the Clinical Landscape of Long Non-coding RNAs in Cancer Diagnosis and Therapy.Biochemical genetics · 2026Review
- Advancing precision and personalized breast cancer treatment through multi-omics technologies.American journal of cancer research · 2024Review
- The Clinical Utility of lncRNAs and Their Application as Molecular Biomarkers in Breast Cancer.International journal of molecular sciences · 2023Review
- Comprehensive investigation of the prognostic values and molecular mechanisms of syntaxin binding protein 5 antisense RNA 1 in patients with colon adenocarcinoma based on RNA sequencing dataset.Journal of Cancer · 2023Article
- Article
- Genetic risk factors for colorectal cancer in multiethnic Indonesians.Scientific reports · 2021Article
- ln RNA LINC01234 promotes triple-negative breast cancer progression through regulating the miR-429/SYNJ1 axis.American journal of translational research · 2021Article
- A panel of 8-lncRNA predicts prognosis of breast cancer patients and migration of breast cancer cells.PloS one · 2021Article
- Dissecting the Role of N6-Methylandenosine-Related Long Non-coding RNAs Signature in Prognosis and Immune Microenvironment of Breast Cancer.Frontiers in cell and developmental biology · 2021Article
- Suppression of Long Non-Coding RNA Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1) Potentiates Cell Apoptosis and Drug Sensitivity to Taxanes and Adriamycin in Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Long noncoding RNA LINC01234 silencing exerts an anti-oncogenic effect in esophageal cancer cells through microRNA-193a-5p-mediated CCNE1 downregulation.Cellular oncology (Dordrecht, Netherlands) · 2020Article
- Function and regulation annotation of up-regulated long non-coding RNA LINC01234 in gastric cancer.Journal of clinical laboratory analysis · 2020Article
- Pseudogene-gene functional networks are prognostic of patient survival in breast cancer.BMC medical genomics · 2020Article
- Development of a nine-lncRNA signature as a novel prognostic marker of estrogen receptor-negative breast cancer.Oncology letters · 2020Article
- Linc01234 promotes cell proliferation and metastasis in oral squamous cell carcinoma via miR-433/PAK4 axis.BMC cancer · 2020Article
- A Robust 6-lncRNA Prognostic Signature for Predicting the Prognosis of Patients With Colorectal Cancer Metastasis.Frontiers in medicine · 2020Article
- LINC00152 Knock-down Suppresses Esophageal Cancer by EGFR Signaling Pathway.Open medicine (Warsaw, Poland) · 2020Article
- Finding prognostic gene pairs for cancer from patient-specific gene networks.BMC medical genomics · 2019Article
- Ginsenoside Rg3 and Korean Red Ginseng extract epigenetically regulate the tumor-related long noncoding RNAs RFX3-AS1 and STXBP5-AS1.Journal of ginseng research · 2019Article
- LINC01857 as an oncogene regulates CREB1 activation by interacting with CREBBP in breast cancer.Journal of cellular physiology · 2019Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long noncoding RNAs (lncRNAs) play a crucial role in tumorigenesis. The aim of this study is to identify lncRNA signature that can predict breast cancer patient survival. RNA expression data from 1064 patients were downloaded from The Cancer Genome Atlas project. Cox regression, Kaplan-Meier, and receiver operating characteristic (ROC) analyses were performed to construct a model for predicting the overall survival (OS) of patients and evaluate it. A model consisting of three lncRNA genes (CAT104, LINC01234, and STXBP5-AS1) was identified. The Kaplan-Meier analysis and ROC curves proved that the model could predict the prognostic survival with good sensitivity and specificity in both the validation set (AUC = 0.752, 95% confidence intervals (CI): 0.651-0.854) and the microarray dataset (AUC = 0.714, 95%CI: 0.615-0.814). Further study showed the three-lncRNA signature was not only pervasive in different breast cancer stages, subtypes and age groups, but also provides more accurate prognostic information than some widely known biomarkers. The results suggested that RNA-seq transcriptome profiling provides that the three-lncRNA signature is an independent prognostic biomarker, and have clinical significance. In addition, lncRNA, miRNA, and mRNA interaction network indicated lncRNAs may intervene in breast cancer pathogenesis by binding to miR-190b, acting as competing endogenous RNAs.
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