A
Adnan O. Abu-Yousif
Researcher at Harvard University
Publications - 32
Citations - 778
Adnan O. Abu-Yousif is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 11, co-authored 23 publications receiving 673 citations.
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Journal ArticleDOI
Synergistic Enhancement of Carboplatin Efficacy with Photodynamic Therapy in a Three-Dimensional Model for Micrometastatic Ovarian Cancer
Imran Rizvi,Jonathan P. Celli,Conor L. Evans,Adnan O. Abu-Yousif,Alona Muzikansky,Brian W. Pogue,Dianne M. Finkelstein,Tayyaba Hasan +7 more
TL;DR: The use of a 3D model for micrometastatic OvCa as a rapid and quantitative reporter to optimize sequence and dosing regimens of clinically relevant combination strategies is demonstrated for the first time.
Journal ArticleDOI
Apigenin Prevents UVB-Induced Cyclooxygenase 2 Expression: Coupled mRNA Stabilization and Translational Inhibition
TL;DR: Results indicate that in addition to transcriptional regulation, another mechanism by which apigenin prevents COX-2 expression is through mediating TIAR suppression of translation.
Journal ArticleDOI
Selective treatment and monitoring of disseminated cancer micrometastases in vivo using dual-function, activatable immunoconjugates
Bryan Q. Spring,Adnan O. Abu-Yousif,Akilan Palanisami,Imran Rizvi,Xiang Zheng,Zhiming Mai,Sriram Anbil,R. Bryan Sears,Lawrence B. Mensah,Ruth Goldschmidt,S. Sibel Erdem,Esther Oliva,Tayyaba Hasan,Tayyaba Hasan +13 more
TL;DR: A new therapy and visualization platform that targets residual cancer micrometastases with enhanced sensitivity and selectivity based on “tumor-targeted activation” is demonstrated, offering prospects for catching early recurrent micromedastases and for treating occult disease.
Journal ArticleDOI
Killing Hypoxic Cell Populations in a 3D Tumor Model with EtNBS-PDT
Conor L. Evans,Adnan O. Abu-Yousif,Yongjin Park,Oliver Klein,Jonathan P. Celli,Imran Rizvi,Xiang Zheng,Tayyaba Hasan +7 more
TL;DR: The inherent ability of EtNBS photodynamic therapy to impart cytotoxicity across a wide range of tumoral oxygenation levels indicates its potential to eliminate treatment-resistant cell populations.
Journal ArticleDOI
Quantitative imaging reveals heterogeneous growth dynamics and treatment-dependent residual tumor distributions in a three-dimensional ovarian cancer model.
TL;DR: This work introduces an approach combining a 3-D model of disseminated ovarian cancer with high-throughput processing of image data for quantification of growth characteristics and cytotoxic response, which reveals a reproducible bimodal log-normal size distribution.