Using PDX animal models to identify and stratify adenoid cystic carcinoma patients presenting an enhanced response to HDAC inhibitors.

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Bibliographic Details
Title: Using PDX animal models to identify and stratify adenoid cystic carcinoma patients presenting an enhanced response to HDAC inhibitors.
Authors: Guimarães LD; Laboratory of Epithelial Biology, University of Michigan School of Dentistry Ann Arbor, MI, USA.; Department of Stomatology, University of São Paulo São Paulo, SP, Brazil., Webber LP; Laboratory of Epithelial Biology, University of Michigan School of Dentistry Ann Arbor, MI, USA., Gaio EJ; Laboratory of Epithelial Biology, University of Michigan School of Dentistry Ann Arbor, MI, USA.; Department of Periodontology, Federal University of Rio Grande do Sul Porto Alegre, RS, Brazil., Junior DS; Department of Stomatology, University of São Paulo São Paulo, SP, Brazil., Gonçalves P; Zucker School of Medicine at Hofstra/Northwell, Monter Cancer Center Lake Success, NY, USA., Wick MJ; South Texas Accelerated Research Therapeutics San Antonio, TX, USA., Burr NS; Adenoid Cystic Carcinoma Research Foundation Needham, MA, USA., Squarize CH; Laboratory of Epithelial Biology, University of Michigan School of Dentistry Ann Arbor, MI, USA.; University of Michigan Rogel Cancer Center, University of Michigan Ann Arbor, MI, USA., Castilho RM; Laboratory of Epithelial Biology, University of Michigan School of Dentistry Ann Arbor, MI, USA.; University of Michigan Rogel Cancer Center, University of Michigan Ann Arbor, MI, USA.
Source: American journal of cancer research [Am J Cancer Res] 2023 Jan 15; Vol. 13 (1), pp. 143-160. Date of Electronic Publication: 2023 Jan 15 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: e-Century Pub. Corp Country of Publication: United States NLM ID: 101549944 Publication Model: eCollection Cited Medium: Print ISSN: 2156-6976 (Print) Linking ISSN: 21566976 NLM ISO Abbreviation: Am J Cancer Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2156-6976