2017
DOI: 10.3389/fgene.2017.00170
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HOTAIR: A Promising Long Non-coding RNA with Potential Role in Breast Invasive Carcinoma

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Cited by 23 publications
(21 citation statements)
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“…In recent years, many studies have shown that lncRNAs play important roles in gene regulation, transport, differentiation, dosage compensation, and protein synthesis. [8][9][10] The lncRNA SNHG1 is upregulated in many cancers. 7 For example, lncRNA HOX transcript antisense RNA has been verified as an effective diagnostic marker in patients with liver, colon, breast, and pancreatic cancer.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many studies have shown that lncRNAs play important roles in gene regulation, transport, differentiation, dosage compensation, and protein synthesis. [8][9][10] The lncRNA SNHG1 is upregulated in many cancers. 7 For example, lncRNA HOX transcript antisense RNA has been verified as an effective diagnostic marker in patients with liver, colon, breast, and pancreatic cancer.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, HOTAIR is overexpressed in HER2positive, estrogen receptor (ER)-negative, and progesterone receptor (PR)-negative patients ( Supplementary Fig. S8B), which is consistent with the previous research (24). To predict the molecular mechanism of HOTAIR in breast cancer, we investigated the coexpression networks of HOTAIR using coexpression function that was implemented in lnCAR.…”
Section: Web Interface and Usagesupporting
confidence: 86%
“…In breast cancer, an expression panel of lncRNAs has been shown to perform as well as the Prediction Analysis of Microarray 50 at classifying breast cancer intrinsic subtypes and predicting overall survival . Furthermore, lncRNAs can function as oncogenes as exemplified by HOTAIR which supports tumor cell invasion, cell proliferation, and metastasis in breast cancer . Despite increasing evidence that lncRNAs are functional molecules, the analysis of the majority of lncRNAs is preliminary and has not resulted in a clear pattern of expression in models of progression …”
Section: Introductionmentioning
confidence: 99%