Characterization of microRNA expression levels and their biological correlates in human cancer cell lines.

By A. Gaur, D. Jewell, Yu Liang, Dana Ridzon, Jason H. Moore, Caifu Chen, V. Ambros, M. Israel. Cancer Research, 2007

730 citations recorded by the source corpus.

MicroRNAs are small noncoding RNAs that function by regulating target gene expression posttranscriptionally. They play a critical role in developmental and physiologic processes and are implicated in the pathogenesis of several human diseases including cancer. We examined the expression profiles of 241 human microRNAs in normal tissues and the NCI-60 panel of human tumor-derived cell lines. To quantify microRNA expression, we employed a highly sensitive technique that uses stem-loop primers for reverse transcription followed by real-time PCR. Most microRNAs were expressed at lower levels in tumor-derived cell lines compared with the corresponding normal tissue. Agglomerative hierarchical clustering analysis of microRNA expression revealed four groups among the NCI-60 cell lines consisting of hematologic, colon, central nervous system, and melanoma tumor-derived cell lines clustered in a manner that reflected their tissue of origin. We identified specific subsets of microRNAs that provide candidate molecular signatures characteristic of the tumor-derived cell lines belonging to these four clusters. We also identified specific microRNA expression patterns that correlated with the proliferation indices of the NCI-60 cell lines, and we developed evidence for the identification of specific microRNAs as candidate oncogenes and tumor suppressor genes in different tumor types. Our results provide evidence that microRNA expression patterns may mark specific biological characteristics of tumors and/or mediate biological activities important for the pathobiology of malignant tumors. These findings call attention to the potential of microRNAs to provide etiologic insights as well as to serve as both diagnostic markers and therapeutic targets for many different tumor types.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f69028e757a59ebe035d4ca0ec7d4210a275db10

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Citations in the corpus

The Expression of MicroRNA miR-107 Decreases Early in Alzheimer's Disease and May Accelerate Disease Progression through Regulation of β-Site Amyloid Precursor Protein-Cleaving Enzyme 1 (2008, result): “Notwithstanding this technical shortcoming, the total number of miRNAs expressed above background is quite compatible with the previous findings of other brain miRNA microarray studies (Baskerville and Bartel, 2005; Gaur et al., 2007; Tang et al., 2007).”
microRNA-34a inhibits glioblastoma growth by targeting multiple oncogenes (2009, neutral): “A previous study screened for microRNA expressions in the NCI-60 tumor cells and found that miR-34a is down-regulated in brain tumor cell lines (21).”
Exploration of tumor-suppressive microRNAs silenced by DNA hypermethylation in oral cancer. (2008, background): “Down-regulation of miR-203 expression was described in central nervous system tumor cell lines (26) and thyroid anaplastic carcinoma (29), whereas its up-regulation was also shown in breast cancer (30), lung cancer (31), and colorectal cancer (25).”
Therapeutic delivery of miR-26a inhibits cancer cell proliferation and induces tumor-specific apoptosis (2009, positive): “It has been demonstrated that most tumors are characterized by globally diminished miRNA expression (Gaur et al., 2007; Lu et al., 2005) and that experimental impairment of miRNA processing enhances cellular transformation and tumorigenesis (Kumar et al., 2007).”
MicroRNA expression profiling in human ovarian cancer: miR-214 induces cell survival and cisplatin resistance by targeting PTEN. (2008, background): “Subsequently, miRNA deregulation was detected in other human malignancies, including breast carcinoma (4, 5), primary glioblastoma (6, 7), lung cancer (8), papillary thyroid carcinoma (9), colon carcinoma (10), and pancreatic tumors (11, 12).”
The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2. (2008, methodology): “Identification of miRNAs expressed in epithelial cells The data set including expression levels of 207 individual miRNA determined by real-time PCR was described recently (Gaur et al. 2007).”
Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors (2013, background): “However, the false positive microarray results can be caused by the different melting temperatures of miRNAs [8–11].”
MicroRNA expression profiling of thyroid tumors: biological significance and diagnostic utility. (2008, background): “Some reports have suggested that overall, most miRNAs are expressed at lower levels in tumors and tumor-derived cell lines compared with normal tissues and in poorly differentiated tumors compared with their well-differentiated counterparts (11, 30).”