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Cited by 223

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

mi RNA Profiling for Diagnosis and Prognosis of Human Cancer

Jay, Chris, Nemunaitis, John, Chen, Patrick, Fulgham, Pat, Tong, Alex W.·2007·DNA and Cell Biology

Abstract

MicroRNAs (miRNAs) are a recently discovered class of small (approximately 18-24 nt) nucleic acids that negatively regulate gene expression. This novel class of molecules modulates a wide array of growth and differentiation processes in human cancers. High throughput analyses, utilizing the solid phase, array platform, or liquid phase, bead-based hybridization have variously demonstrated that miRNA expression was commonly dysregulated in human cancer. miRNA expression profiling has shown promise in defining malignant status in retrospective studies. Considerable disagreement remains with respect to the miRNA signature for a specific cancer cell type, which appears to depend largely on the analytical platform. Nonetheless, various internally controlled studies have successfully identified the histotype of tumors of unknown origin according to miRNA expression profile. The evaluation of miRNAs expression may also be of prognostic value, as best exemplified by the correlation of let-7 and mir-155 levels with disease survival in nonsmall cell lung cancer.

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Metadata

Authors
Jay, C., Nemunaitis, J., Chen, P., Fulgham, P., & Tong, A. W.
Venue
DNA and Cell Biology
Published
2007-05
Volume
26
Issue
5
Pages
293-300
ISSN
  • 1044-5498 (ISSN-L)
  • 1557-7430
OpenAlex
W2003463953
Cited by
223
References
8
FWCI
7.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: mi RNA Profiling for Diagnosis and Prognosis of Human Cancer. https://app.cochat.ai/papers/10.1089/dna.2006.0554
The paper
Jay, C., Nemunaitis, J., Chen, P., Fulgham, P., & Tong, A. W. (2007). mi RNA Profiling for Diagnosis and Prognosis of Human Cancer. DNA and Cell Biology. https://doi.org/10.1089/dna.2006.0554

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.