MicroRNA Gene Expression Deregulation in Human Breast Cancer

Iorio, Marilena V.; Ferracin, Manuela; Liu, Chang Gong; Veronese, Angelo; Spizzo, Riccardo; Sabbioni, Silvia; Magri, Eros; Pedriali, Massimo; Fabbri, Muller; Campiglio, Manuela; Ménard, Sylvie; Palazzo, Juan; Rosenberg, Anne; Musiani, Piero; Volinia, Stefano; Nenci, Italo; Calin, George A.; Querzoli, Patrizia; Negrini, Massimo; Croce, Carlo M.

doi:10.1158/0008-5472.can-05-1783

Cited by 3,689 publications

(3,175 citation statements)

References 23 publications

Supporting

128

Mentioning

2,960

Contrasting

Unclassified

Order By: Relevance

“…Additionally, a significant number of microRNAs are encoded within fragile sites, regions of amplification, or common breakpoint regions associated with human cancers. [6][7][8][9][10][11][12] Regulatory Mechanisms of microRNA Expression: the Role of Hypoxia…”

Section: Small Size Regulators With Far-reaching Impactmentioning

confidence: 99%

A microRNA component of the hypoxic response

et al. 2008

View full text Add to dashboard Cite

microRNAs participate in a wide variety of physiological and pathological cellular processes. Recent studies have established a link between a specific group of microRNAs and hypoxia, a key feature of the neoplastic microenvironment. A significant proportion of the hypoxia-regulated microRNAs (HRMs) are also overexpressed in human cancers, suggesting a role in tumorigenesis. Preliminary evidence suggests that they could affect important processes such as apoptosis, proliferation and angiogenesis. Several HRMs exhibit induction in response to HIF activation, thus extending its repertoire of targets beyond translated genes. In the present review, we discuss the emerging roles of HRMs in oxygen deprivation in cancer context.

show abstract

Section: Small Size Regulators With Far-reaching Impactmentioning

confidence: 99%

A microRNA component of the hypoxic response

et al. 2008

View full text Add to dashboard Cite

show abstract

“…With the development of comprehensive treatment of breast neoplasms, the mortality rate has been significantly reduced. Researchers have found that many miRNAs are associated with breast neoplasms by clinical experiments, such as mir‐155 and mir‐21 6. We used our method to predict the candidate miRNAs for breast neoplasms, and we listed the top 50 predicted candidate miRNAs (Table 1).…”

Section: Resultsmentioning

confidence: 99%

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

Zhang

Liang

et al. 2018

J Cellular Molecular Medi

View full text Add to dashboard Cite

AbstractmiRNAs are a class of small noncoding RNAs that are associated with a variety of complex biological processes. Increasing studies have shown that miRNAs have close relationships with many human diseases. The prediction of the associations between miRNAs and diseases has thus become a hot topic. Although traditional experimental methods are reliable, they could only identify a limited number of associations as they are time‐consuming and expensive. Consequently, great efforts have been made to effectively predict reliable disease‐related miRNAs based on computational methods. In this study, we present a novel approach to predict the potential microRNA‐disease associations based on sparse neighbourhood. Specifically, our method takes advantage of the sparsity of the miRNA‐disease association network and integrates the sparse information into the current similarity matrices for both miRNAs and diseases. To demonstrate the utility of our method, we applied global LOOCV, local LOOCV and five‐fold cross‐validation to evaluate our method, respectively. The corresponding AUCs are 0.936, 0.882 and 0.934. Three types of case studies on five common diseases further confirm the performance of our method in predicting unknown miRNA‐disease associations. Overall, results show that SNMDA can predict the potential associations between miRNAs and diseases effectively.

show abstract

“…In a study regarding breast cancer, lorio et al [62] found that the miRNA expression patterns were significantly different between normal and neoplastic breast tissues, with miR-125b, miR-145, miR-21, and miR-155 significantly reduced in breast cancer tissues. They also observed that the expression of miRNAs was correlated with specific breast cancer clinicopathologic features, such as tumor stage, proliferation index, estrogen and progesterone receptor expression, and vascular invasion[62].…”

Section: Mirna and Cancermentioning

confidence: 99%

Single-nucleotide polymorphisms among microRNA: big effects on cancer

Song

Chen²

2011

Chin J Cancer

View full text Add to dashboard Cite

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the transcriptional or posttranscriptional level. Many miRNAs are found to play a significant role in cancer development either as tumor suppressor genes or as oncogenes. Examination of tumor-specific miRNA expression profiles in diverse cancers has revealed widespread deregulation of these molecules, whose loss and overexpression respectively have diagnostic and prognostic significance. Genetic variations, mostly single-nucleotide polymorphisms (SNPs) within miRNA sequences or their target sites, have been found to be associated with many kinds of cancers. In this review, we summarize the current knowledge of miRNAs including their biogenesis and role in cancer development, and finally, how SNPs among miRNAs affect miRNA biogenesis and contribute to cancer.

show abstract

MicroRNA Gene Expression Deregulation in Human Breast Cancer

Cited by 3,689 publications

References 23 publications

A microRNA component of the hypoxic response

A microRNA component of the hypoxic response

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

Single-nucleotide polymorphisms among microRNA: big effects on cancer

Contact Info

Product

Resources

About