Nanotechnology Tackles Ovarian Cancer (image) American Association for the Advancement of Science Share Print E-Mail Caption An integrated platform to discover and validate new oncogenes in animal models of cancer. (A) Genomes of tumors (n=489) obtained from patients are analyzed in a high-throughput fashion to identify genes that are amplified in cancer. (B) Subsequently, short-hairpin RNAs (shRNAs) targeting the entire genome are introduced into cancer cell lines, and genes that are essential for the survival of cancer cells are then identified (n=1825). Combining with data from A, this yielded over 200 (n=206) genes that are both amplified in tumors and essential for cancer cells. Unfortunately, the complexity and sheer volume of data has made dissecting the underlying biology and developing new drugs difficult. (C) RNA interference (RNAi) provides a means to act on candidate oncogenes. However, progress has been stymied by the "delivery" challenge. Here, novel tumor-penetrating nanoparticles carrying siRNA can penetrate into the tumor parenchyma, deliver siRNA therapeutics to tumor cells in a receptor-specific manner, and enables the rapid discovery and validation of gene targets in mouse models of cancer. (D) Follow-up studies can identify the mechanism by which the newly discovered oncogene, ID4, act to render normal epithelial ovarian cells into malignant cancer cells. This image relates to a paper that appeared in the Aug. 15, 2012 issue of Science Translational Medicine, published by AAAS. The paper, by Dr. Y. Ren at Massachusetts Institute of Technology in Cambridge, Mass., and colleagues, was titled, "Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4." Credit Yin Ren, MIT Usage Restrictions Please cite the owner of the image when publishing. This image may be freely used by reporters as part of news coverage, with proper attribution. Non-reporters must contact Science for permission. Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.