MicroRNA Expression Profiling of Thyroid Tumors: Biological Significance and Diagnostic Utility

Nikiforova, Marina N.; Tseng, George C.; Steward, David L.; Diorio, Donna

doi:10.1210/jc.2007-2696

Cited by 536 publications

(591 citation statements)

References 34 publications

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“…The aberrant expression of certain miRNAs can induce initiation and/or progression of human cancers [140]. The involvement of miRNAs in proliferation, differentiation and apoptosis have been defined and thus they could be used as biomarkers for diagnostic and therapeutic targets in many cancers including lung, pancreas, breast, and colorectal cancers in addition to thyroid cancers [141][142][143][144]. There are several reports displaying changes in miRNA profiles in thyroid cancers as compared to normal thyroid tissues [143,144].…”

Section: Micrornasmentioning

confidence: 99%

An update on molecular biology of thyroid cancers

Ömür

Baran

2014

Critical Reviews in Oncology/Hematology

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Section: Micrornasmentioning

confidence: 99%

An update on molecular biology of thyroid cancers

Ömür

Baran

2014

Critical Reviews in Oncology/Hematology

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“…30,31 RNA yield and purity were determined using the NanoDrop 1000 spectophotometer (ThermoScientific, Wilmington, DE, USA). RNA integrity was assessed for 1 ml of sample using the Agilent 6000 NANO kit for the 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer's protocol.…”

Section: Rna Isolationmentioning

confidence: 99%

“…miRNA expression levels were calculated by relative quantitation using the ABI 7500 Real-Time PCR SDS 1.2 software (Applied Biosystems), and the fold expression changes were determined by 2-DDC t method. 30 The data were presented as the fold change of miRNA expression in lung tumors relatively to normal lung tissues after normalization to an endogenous control (RNU44).…”

Section: Mirna Expression By Real-time Rt-pcrmentioning

confidence: 99%

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miRNA expression profiling of lung adenocarcinomas: correlation with mutational status

et al. 2010

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MicroRNA (miRNA) expression is deregulated in lung cancer, and some miRNAs are associated with poor prognosis and survival. In this study, we investigated the miRNA expression in lung adenocarcinomas with different oncogenic mutations, including EGFR-positive, KRAS-positive and EGFR/KRAS-negative tumors. The expression of 319 miRNAs was evaluated by Exiqon/Luminex microarray, and expression of individual miRNAs was validated by individual RT-PCR assays (Applied Biosystems). Overall, miRNA expression was similar among three mutationally different groups with most upregulated miRNAs being miR-20a, miR-328, miR-34c and miR-18b and most downregulated miRNAs being miR-32, miR-137 and miR-342. Four miRNAs (miR-155, miR-25, miR-495 and miR-7g) were expressed differently among these tumors. miR-155 was upregulated only in EGFR/KRAS-negative group, miR-25 was upregulated only in EGFR-positive group and miR-495 was upregulated only in KRAS-positive adenocarcinomas. In opposite, let-7g was downregulated in all three groups, with more significant downregulation in EGFR/KRASnegative adenocarcinomas. Principal component analysis (PCA) revealed significant correlation between miRNA expression patterns and somatic mutations. In this study, we demonstrated that despite the similarity in miRNA expression among lung adenocarcinomas with different somatic mutations, some miRNAs showed unique expression patterns, which were in strong correlation with the mutation type, suggesting different carcinogenic pathway for these tumors. These miRNAs can be further explored for their diagnostic and prognostic use.

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“…[20][21][22] The unique expression profiles of microRNAs characteristic of each tissue and the malignancies arising in them can permit their accurate identification. [23][24][25][26] MicroRNAs are also stable in tissue, stored frozen or as formalinfixed, paraffin-embedded (FFPE) samples, and in serum. [27][28][29] In an earlier work, we showed that a biologically motivated classifier based on expression of a relatively small number of tissue-specific microRNAs allows tumor tissues of origin to be accurately identified.…”

mentioning

confidence: 99%

Validation of a microRNA-based qRT-PCR test for accurate identification of tumor tissue origin

et al. 2010

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Identification of the tissue of origin of a tumor is vital to its management. Previous studies showed tissuespecific expression patterns of microRNA and suggested that microRNA profiling would be useful in addressing this diagnostic challenge. MicroRNAs are well preserved in formalin-fixed, paraffin-embedded (FFPE) samples, further supporting this approach. To develop a standardized assay for identification of the tissue origin of FFPE tumor samples, we used microarray data from 504 tumor samples to select a shortlist of 104 microRNA biomarker candidates. These 104 microRNAs were profiled by proprietary quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) on 356 FFPE tumor samples. A total of 48 microRNAs were chosen from this list of candidates and used to train a classifier. We developed a clinical test for the identification of the tumor tissue of origin based on a standardized protocol and defined the classification criteria. The test measures expression levels of 48 microRNAs by qRT-PCR, and predicts the tissue of origin among 25 possible classes, corresponding to 17 distinct tissues and organs. The biologically motivated classifier combines the predictions generated by a binary decision tree and K-nearest neighbors (KNN). The classifier was validated on an independent, blinded set of 204 FFPE tumor samples, including nearly 100 metastatic tumor samples. The test predictions correctly identified the reference diagnosis in 85% of the cases. In 66% of the cases the two algorithm predictions (tree and KNN) agreed on a single-tissue origin, which was identical to the reference diagnosis in 90% of cases. Thus, a qRT-PCR test based on the expression profile of 48 tissue-specific microRNAs allows accurate identification of the tumor tissue of origin.

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MicroRNA Expression Profiling of Thyroid Tumors: Biological Significance and Diagnostic Utility

Cited by 536 publications

References 34 publications

An update on molecular biology of thyroid cancers

An update on molecular biology of thyroid cancers

miRNA expression profiling of lung adenocarcinomas: correlation with mutational status

Validation of a microRNA-based qRT-PCR test for accurate identification of tumor tissue origin

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