Ram H. Datar, Ph.D.
Associate Professor of Pathology and Biochemistry & Molecular Biology
Description of Research
Dr. Datar's areas of research focus include cancer molecular pathology and biomedical nanotechnology. Specifically, he has been involved in various aspects of detection and molecular characterization of occult metastases in cancers of prostate, bladder, breast and lung. Dr. Datar has also been involved for many years in the development and application of micro- and nanoscale devices for biomedical diagnostic applications. His goal is to employ microfabrication and development of microfluidic devices to further novel technology development, including biosensors and molecular methods to analyze expression profiles of cancers.
Highlights
- Published over 50 original papers, and is a reviewer for a number of international biomedical journals; and an editor for Current Issues in Molecular Biology, Caister Academic Press, UK. He also served as a member on NIH Study Sections and NSF Special Panels. Dr. Datar has played a pivotal role in the development of the microfilter device for capture and characterization of the circulating tumor cells (CTC) and is among the inventors of the technology. Other achievements include contribution to the development of p53 GeneChip assays (where he served as Consultant for Roche Molecular Diagnostics) and q-RT-PCR marker assays for breast cancer (Consultant to Abbott Inc.) and expertise in global genomic DNA amplification and telomerase assays for molecular and functional characterization of tumors.
- Eight in-process patent applications
- Jointly with Dr. Richard Cote, Dr. Datar has mentored 6 Clinical Fellows, 6 doctoral students and 3 Masters students at University of Southern California
- Principal Investigator in an NIJ forensic science award, Co-PI in an NIH R21/R33 IMAT Award and a Co-investigator in approximately 8 NIH, DoD and other State Awards
Selected Cancer-Related Publications
- Mitra AP, Pagliarulo V, Yang D, Waldman FM, Datar RH, Skinner DG, Groshen S, Cote RJ. Generation of a concise gene panel for outcome prediction in urinary bladder cancer. J Clin Oncol 27:3929-37, 2009. Read more »
Programs
Collaborating in the Multidisciplinary Research Program(s):