MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer

Lee, Chia Hsien; Kuo, Wen-Hsing; Chen, Lin; Oyang, Yen Jen; Huang, Hsuan‐Cheng; Juan, Hsueh‐Fen

doi:10.3390/ijms140611560

Cited by 59 publications

(42 citation statements)

References 50 publications

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“…Transcriptional regulator megakaryoblastic leukemia-1-induced tenascin-C and SAP domain are key players for breast cancer progression and migration 77. The association between let-7c, miR-125a-5p, miR-125b-5p, and miR-21-5p and breast cancer was revealed 78. E26 transformation-specific (ETS) transcription factor regulate the expression of genes involved in biological processes.…”

Section: Othersmentioning

confidence: 99%

Identification of Biomarkers for Breast Cancer Using Databases

Lee

Moon

2016

J Cancer Prev

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Breast cancer is one of the major causes of cancer death in women. Many studies have sought to identify specific molecules involved in breast cancer and understand their characteristics. Many biomarkers which are easily measurable, dependable, and inexpensive, with a high sensitivity and specificity have been identified. The rapidly increasing technology development and availability of epigenetic informations play critical roles in cancer. The accumulated data have been collected, stored, and analyzed in various types of databases. It is important to acknowledge useful and available data and retrieve them from databases. Nowadays, many researches utilize the databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Surveillance, Epidemiology and End Results (SEER), and Embase, to find useful informations on biomarkers for breast cancer. This review summarizes the current databases which have been utilized for identification of biomarkers for breast cancer. The information provided by this review would be beneficial to seeking appropriate strategies for diagnosis and treatment of breast cancer.

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Section: Othersmentioning

confidence: 99%

Identification of Biomarkers for Breast Cancer Using Databases

Lee

Moon

2016

J Cancer Prev

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“…Interestingly, TGFB also cross-talks with several other pathways, including estrogen receptor signaling (Matsuda et al 2001), which have also been identified as miR-139-5p targets from our analyses. Also interestingly, proteins underlying this pathway were identified to be potentially regulated by miR-139-5p using target prediction software (Lee et al 2013).…”

Section: Mir-139-5p Targets Genes Involved In Pathways Associated Witmentioning

confidence: 99%

miR-139-5p is a regulator of metastatic pathways in breast cancer

Krishnan

Steptoe

Martin

et al. 2013

RNA

138

115

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Metastasis is a complex, multistep process involved in the progression of cancer from a localized primary tissue to distant sites, often characteristic of the more aggressive forms of this disease. Despite being studied in great detail in recent years, the mechanisms that govern this process remain poorly understood. In this study, we identify a novel role for miR-139-5p in the inhibition of breast cancer progression. We highlight its clinical relevance by reviewing miR-139-5p expression across a wide variety of breast cancer subtypes using in-house generated and online data sets to show that it is most frequently lost in invasive tumors. A biotin pull-down approach was then used to identify the mRNA targets of miR-139-5p in the breast cancer cell line MCF7. Functional enrichment analysis of the pulled-down targets showed significant enrichment of genes in pathways previously implicated in breast cancer metastasis (P < 0.05). Further bioinformatic analysis revealed a predicted disruption to the TGFβ, Wnt, Rho, and MAPK/PI3K signaling cascades, implying a potential role for miR-139-5p in regulating the ability of cells to invade and migrate. To corroborate this finding, using the MDA-MB-231 breast cancer cell line, we show that overexpression of miR-139-5p results in suppression of these cellular phenotypes. Furthermore, we validate the interaction between miR-139-5p and predicted targets involved in these pathways. Collectively, these results suggest a significant functional role for miR-139-5p in breast cancer cell motility and invasion and its potential to be used as a prognostic marker for the aggressive forms of breast cancer.

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“…This miRNA has been found to be down regulated in testicular embryonic carcinoma, hepatocellular carcinoma, glioma, medulloblastoma, 15,16 breast cancer, 17 and ependymoma. 18 Results of a study showed that exposure to UV led to a significantly lower expression of miR-383 in A431cells (a model human cell line of epidermoid carcinoma).…”

Section: Introductionmentioning

confidence: 99%

Prognostic and predictive roles of microRNA-383 in colorectal cancer

Fateh

Feizi

Safaralizadeh

et al. 2016

Gastroenterol Insights

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MicroRNAs (miRNAs) are impressive regulators of gene expression that have a critical role in the pathogenesis of colorectal cancer (CRC). With respect to the aberrant expression of miRNA-383 (miR-383) in some types of human malignancy, this prospective study characterized its contribution to CRC tumorigenesis. The real-time reverse transcriptionpolymerase chain reaction was used to examine miR-383 expression levels prospectively in 40 sample pairs of CRC tissues and adjacent noncancerous tissues (>2 cm from cancer tissue). No significant relationship was found between miR-383 expression levels and clinicopathological features. The ability of miR-383 to function as a tumor marker was also examined. Showing significant changes overall, miR-383 expression levels were significantly down regulated in the group of CRC samples compared with matched noncancerous tissue samples. A receiver-operating characteristic (ROC) curve also showed ROC area of 70% for miR-383 with 68 and 75% sensitivity and specificity, respectively. Therefore, miR-383 can be considered as a tumor marker in CRC and help as a potential predictive biomarker in the diagnosis of colorectal cancer.

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MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer

Cited by 59 publications

References 50 publications

Identification of Biomarkers for Breast Cancer Using Databases

Identification of Biomarkers for Breast Cancer Using Databases

miR-139-5p is a regulator of metastatic pathways in breast cancer

Prognostic and predictive roles of microRNA-383 in colorectal cancer

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