Literature DB >> 28869448

Large intergenic non-coding RNA-ROR as a potential biomarker for the diagnosis and dynamic monitoring of breast cancer.

Tianhe Zhao1,1, Lichun Wu1,2,1, Xinyang Li1, Huangmei Dai1, Zunzhen Zhang1.   

Abstract

BACKGROUND: Recent study has revealed that large intergenic non-coding RNA-ROR (linc-ROR) is aberrantly expressed in a number of cancers including breast cancer. However, whether circulating linc-ROR in plasma could be used for breast cancer diagnosis and dynamic monitoring is not clear.
OBJECTIVE: The objective of this study is to determine if plasma linc-ROR could be applied as a biomarker for the diagnosis and dynamic monitoring of breast cancer.
METHODS: We tested the expression levels of linc-ROR in 24 pairs of tissue samples and 96 plasma samples from breast cancer patients by quantitative real time-polymerase chain reaction (qRT-PCR), and analyzed the correlation between plasma linc-ROR levels and clinico-pathological characteristics. Receiver operating characteristic (ROC) curve was used to assess the diagnostic power of plasma linc-ROR, carcinoembryonic antigen (CEA) and carbohydrate antigen (CA)153 for breast cancer. Furthermore, we explored the monitoring values of plasma linc-ROR for breast cancer by analyzing the preoperative and postoperative plasma linc-ROR levels of the same patients.
RESULTS: The expression levels of linc-ROR were significantly higher in breast cancer tissues and plasma than the levels in the control (P< 0.05). The linc-ROR expression levels in plasma were correlated with lymph node metastasis (P< 0.05), estrogen receptor (ER) (P< 0.05) and progesterone receptor (PR) (P< 0.05). The area under the ROC curve of plasma linc-ROR was 0.758 (sensitivity 80.0%; specificity 73.3%), which was higher than CEA and CA153 values from the same patients obtained. Combination of the linc-ROR with the conventional biomarkers might produce better diagnostic ability. Additionally, the linc-ROR expression levels of plasma in postoperative patients were lower than those in preoperative patients (P< 0.05).
CONCLUSION: Overexpressed linc-ROR may be a potential biomarker for the diagnosis and dynamic monitoring of breast cancer.

Entities:  

Keywords:  Long non-coding RNAs; biomarker; breast cancer; linc-ROR

Mesh:

Substances:

Year:  2017        PMID: 28869448     DOI: 10.3233/CBM-170064

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  9 in total

1.  Functional Variants in Linc-ROR are Associated with mRNA Expression of Linc-ROR and Breast Cancer Susceptibility.

Authors:  Chenglin Luo; Jingjing Cao; Rui Peng; Qiaoyun Guo; Hua Ye; Peng Wang; Kaijuan Wang; Chunhua Song
Journal:  Sci Rep       Date:  2018-03-16       Impact factor: 4.379

2.  Linc-ROR Promotes Osteogenic Differentiation of Mesenchymal Stem Cells by Functioning as a Competing Endogenous RNA for miR-138 and miR-145.

Authors:  Lu Feng; Liu Shi; Ying-Fei Lu; Bin Wang; Tao Tang; Wei-Ming Fu; Wei He; Gang Li; Jin-Fang Zhang
Journal:  Mol Ther Nucleic Acids       Date:  2018-03-12       Impact factor: 8.886

Review 3.  Prognostic role of chromodomain helicase DNA binding protein 1-like protein in human solid cancers: A meta-analysis.

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Review 4.  Prognostic Significance of Pretreatment Apolipoprotein A-I as a Noninvasive Biomarker in Cancer Survivors: A Meta-Analysis.

Authors:  Yi Zhang; Xianjin Yang
Journal:  Dis Markers       Date:  2018-10-30       Impact factor: 3.434

5.  Downregulated Expression of linc-ROR in Gastric Cancer and Its Potential Diagnostic and Prognosis Value.

Authors:  Xiuchong Yu; Haixiang Ding; Yijiu Shi; Liangwei Yang; Jiaming Zhou; Zhilong Yan; Bingxiu Xiao
Journal:  Dis Markers       Date:  2020-10-24       Impact factor: 3.434

Review 6.  Mechanisms of Taxane Resistance.

Authors:  Sara M Maloney; Camden A Hoover; Lorena V Morejon-Lasso; Jenifer R Prosperi
Journal:  Cancers (Basel)       Date:  2020-11-10       Impact factor: 6.639

7.  Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis.

Authors:  Xuefeng Jiang; Guijuan Zhang; Jieyan Wu; Shujun Lin; Yusheng Liu; Yi Ma; Min Ma
Journal:  Biomed Res Int       Date:  2020-05-10       Impact factor: 3.411

8.  Linc-ROR promotes the progression of breast cancer and decreases the sensitivity to rapamycin through miR-194-3p targeting MECP2.

Authors:  Qian Zhou; Juan Guo; Wenjie Huang; Xiaosi Yu; Chen Xu; Xinghua Long
Journal:  Mol Oncol       Date:  2020-05-24       Impact factor: 6.603

9.  Long noncoding RNA ROR promotes breast cancer by regulating the TGF-β pathway.

Authors:  LingLi Hou; Jiancheng Tu; Fangxiong Cheng; Hongwei Yang; Fei Yu; Minghua Wang; Jiubo Liu; Jinbo Fan; Guojun Zhou
Journal:  Cancer Cell Int       Date:  2018-09-18       Impact factor: 5.722

  9 in total

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