Work

Abstract 4025: Data-driven computational modeling to identify biomarkers of response to lenvatinib (E7080) in melanoma.

Year: 2013

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2013-4025

Authors: Tadashi Kadowaki, Yasuhiro Funahashi, Junji Matsui, Kumar Pavan, Pallavi Sachdev, Jim O'Brien, Heming Xing, Paul D. McDonagh, Iya Khalil, Razelle Kurzrock, David S. Hong, John Nemunaitis

Institutions: Eisai (Japan), Eisai (United States), University of California San Diego, Moores Cancer Center, The University of Texas MD Anderson Cancer Center, Mary Crowley Cancer Research Center

Language: English

Topic: Melanoma and MAPK Pathways

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2316789504

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