Expression analysis of four long noncoding RNAs in breast cancer

Iranpour, Mostafa; Soudyab, Mohammad; Geranpayeh, Lobat; Mirfakhraie, Reza; Azargashb, Eznollah; Movafagh, Abolfazl; Ghafouri‐Fard, Soudeh

doi:10.1007/s13277-015-4135-2

Cited by 97 publications

(75 citation statements)

References 17 publications

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“…Besides, elevated ANRIL expression restrains the expression of INK4a, INK4b, and ARF at the late-stage of DNA damage response. A recent study has demonstrated its up-regulation in malignant breast tissues compared with adjacent non-cancerous tissues with a higher expression in estrogen receptor, progesterone receptor, and HER2 triple-negative samples [33] . Another recent study has shown the overexpression of ANRIL in SOC tissues compared with normal controls and its correlation with advanced FIGO stage, high histological grade, lymph node metastasis, and poor prognosis [14] .…”

Section: Antisense Non-coding Rna In the Ink4 Locus (Anril)mentioning

confidence: 99%

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The Role of Long Non-Coding RNAs in Ovarian Cancer

Nikpayam

Tasharrofi

Sarrafzadeh

et al. 2017

IBJ

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Background: Ovarian cancer is the most fatal tumor of female's reproductive system, and several genetics and environmental factors are involved in its development. Various studies have already identified suitable biomarkers to facilitate the early detection, prognosis evaluation, and the assessment of treatment response. However, the aim of this review was to investigate the role of long non-coding RNAs (lncRNAs) in tumorigenesis process of ovarian cancer and their potential applications as ovarian cancer biomarkers. Methods: We performed an online literature search of the MEDLINE/PubMed databases using the key words ovarian cancer, lncRNA, and biomarker. Results: We found that several lncRNAs have been shown to be deregulated in ovarian cancer and the specific mechanism of their enrollment in ovarian cancer has been defined for a few of them. In addition, expression profiling has revealed an association between lncRNAs and patients' survival, metastasis potential as well as treatment response. Conclusions: Expression profiling as well as methylation analysis of lncRNAs in ovarian cancer may lead to the identification of novel biomarkers that can help in the classification of patients based on prognosis and treatment response.

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Section: Antisense Non-coding Rna In the Ink4 Locus (Anril)mentioning

confidence: 99%

“…ANRIL have been recently shown to be located in the region of 9p21, which is a hotspot for diseaseassociated polymorphisms [33] . It regulates the expression of its neighboring tumor suppressors CDKN2A/B through epigenetic modulation.…”

Section: Antisense Non-coding Rna In the Ink4 Locus (Anril)mentioning

confidence: 99%

The Role of Long Non-Coding RNAs in Ovarian Cancer

Nikpayam

Tasharrofi

Sarrafzadeh

et al. 2017

IBJ

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“…Such effect has been associated with alterations in the expression of certain transcripts including long non-cod ing RNAs (lncRNAs) in a way that these lncRNAs have been suggested as skin cancer biomarkers which are secreted into the blood or urine via exosomes [10]. In general, lncRNAs comprise an important portion of human transcriptome with fundamental roles in virtually every aspect of cell physiology [11]; their aberrant expression has been associated with pathologic conditions such as cancer [12][13][14][15][16][17][18]. More specifically, VDRregulated lncRNAs has been shown to participate in imprinting, tumor suppression and invasion/ metastasis which implies their involvement in the protective effect of VDR signal ing against skin cancer [10].…”

Section: Introductionmentioning

confidence: 99%

A Combined Bioinformatics and Literature Based Approach for Identification of Long Non-coding RNAs That Modulate Vitamin D Receptor Signaling in Breast Cancer

Oskooei¹,

Ghafouri‐Fard²,

Mir³

2018

Klin Onkol

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Kombinovaný bio informatický a literární přístup k identifikaci dlouhých nekódujících molekul RNA, které modulují signalizaci přes receptor vitaminu D u karcinomu prsu Kholghi Oskooei V., Ghafouri-Fard S., Omrani MD Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran SummaryBackground: Long non-cod ing RNAs (lncRNAs) as an important fraction of human transcriptome have been shown to exert fundamental role in regulation of signal ing pathways implicated in carcinogenesis. Among them is vitamin D receptor (VDR) signal ing whose participation in various cancers includ ing breast cancer (BC) is evident. In spite of the presence of several evidences for participation of lncRNAs as well as VDR signal ing in BC pathogenesis, no comprehensive study has evaluated the link between lncRNA dysregulation and VDR signal ing in BC. Aim: To introduce a bio informatics approach for identification of lncRNAs that modulate VDR signal ing in BC. This approach includes co-expression analysis, in silico identification of lncRNAs that target VDR and literature search. Conclusions: Tens of lncRNAs are predicted to affect VDR signaling. Among them are some lncRNAs such as MALAT1 which has prominent role in BC pathogenesis. Identification of the lncRNAs that influence VDR gene expression is possible through in silico analysis. Consider ing the prominent role of VDR in BC pathogenesis as well as availability of VDR modulat ing agents, evaluation of VDR signal ing pathway and related networks are of practical significance and bio informatics tools are expected to facilitate such action.

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“…Several researches have focused on the exploration of gene expression patterns among these subtypes to find a biologically relevant biomarker in breast cancer (2)(3)(4)(5). The expression pattern analysis of noncoding RNAs has also been the focus of researchers (6,7).…”

Section: Introductionmentioning

confidence: 99%

MiR-206 Target Prediction in Breast Cancer Subtypes by Bioinformatics Tools

et al. 2018

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Background: MicroRNAs (miRNAs) are small endogenous non-coding RNAs with fundamental roles in the regulation of protein expression that is involved in the pathogenesis of many cancers including breast cancer. Among them is miR-206, whose role as a tumor suppressor gene has been demonstrated in breast cancer. Consequently, the identification of its putative target in breast cancer is of practical value. Methods: In the present study, we have suggested a new approach for the identification of miR-206 target genes with possible role in breast cancer pathogenesis. We used 15 online tools for the prediction of miR-206 target genes as well as gene expression data produced by DNA microarray technology. Results: By combining these two sets of data, we suggested a list of miR-206 target genes with possible involvement in breast cancer. In addition, we depicted an interaction network including miR-206 and its putative targets. Conclusions: Considering the complexity of miR-206 interactions with several targets, such in silico analyses would considerably lessen the work load of laboratory experiments.

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Expression analysis of four long noncoding RNAs in breast cancer

Cited by 97 publications

References 17 publications

The Role of Long Non-Coding RNAs in Ovarian Cancer

The Role of Long Non-Coding RNAs in Ovarian Cancer

A Combined Bioinformatics and Literature Based Approach for Identification of Long Non-coding RNAs That Modulate Vitamin D Receptor Signaling in Breast Cancer

MiR-206 Target Prediction in Breast Cancer Subtypes by Bioinformatics Tools

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