High throughput molecular profiling approaches for the identifications of genomic alterations and therapeutic targets in oral cancer
Signaling Pathways in Squamous Cancer, Page: 431-452
2011
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Book Chapter Description
Tumors, including oral squamous cell carcinoma (OSCC), develop through the combined processes of genomic instability, alteration, and selection, resulting in clonal expansion of cells that have accumulated the most advantageous set of genetic aberrations. With the human genome deciphered, high-throughput molecular profiling technologies are currently linking genome-wide transcriptome, proteome and mutation profiles with biological and disease phenotypes, which present an unprecedented opportunity for advancing the diagnosis and treatment of cancer. In this chapter, we aim to summarize modern genomics and proteomics technologies that can significantly facilitate our understanding of the molecular events underlying the development of OSCC. Understanding the molecular and genetic alterations in the pathogenesis of OSCC will help elucidate the mechanisms involved in tumor formation as well as identify potential targets for improved diagnosis and treatment of OSCC. © Springer Science+Business Media, LLC 2011. All rights reserved.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84900731026&origin=inward; http://dx.doi.org/10.1007/978-1-4419-7203-3_20; https://link.springer.com/10.1007/978-1-4419-7203-3_20; https://dx.doi.org/10.1007/978-1-4419-7203-3_20; https://link.springer.com/chapter/10.1007/978-1-4419-7203-3_20; http://www.springerlink.com/index/10.1007/978-1-4419-7203-3_20; http://www.springerlink.com/index/pdf/10.1007/978-1-4419-7203-3_20
Springer Science and Business Media LLC
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