Usage Information
Citation Information: J Clin Invest. 2009;119(6):1604-1615. https://doi.org/10.1172/JCI37905.
Abstract
The changes in cancer cell surface molecules and intracellular signaling pathways during tumorigenesis make delivery of adenovirus-based cancer therapies inefficient. Here we have identified carcinoembryonic antigen–related cell adhesion molecule 6 (CEACAM6) as a cellular protein that restricts the ability of adenoviral vectors to infect cancer cells. We have demonstrated that CEACAM6 can antagonize the Src signaling pathway, downregulate cancer cell cytoskeleton proteins, and block adenovirus trafficking to the nucleus of human pancreatic cancer cells. Similar to CEACAM6 overexpression, treatment with a Src-selective inhibitor significantly reduced adenovirus replication in these cancer cells and normal human epithelial cells. In a mouse xenograft tumor model, siRNA-mediated knockdown of CEACAM6 also significantly enhanced the antitumor effect of an oncolytic adenovirus. We propose that CEACAM6-associated signaling pathways could be potential targets for the development of biomarkers to predict the response of patients to adenovirus-based therapies, as well as for the development of more potent adenovirus-based therapeutics.
Authors
Yaohe Wang, Rathi Gangeswaran, Xingbo Zhao, Pengju Wang, James Tysome, Vipul Bhakta, Ming Yuan, C.P. Chikkanna-Gowda, Guozhong Jiang, Dongling Gao, Fengyu Cao, Jennelle Francis, Jinxia Yu, Kangdong Liu, Hongyan Yang, Yunhan Zhang, Weidong Zang, Claude Chelala, Ziming Dong, Nick Lemoine
Usage data is cumulative from January 2024 through January 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 435 | 88 |
| 77 | 30 | |
| Figure | 250 | 9 |
| Table | 36 | 0 |
| Supplemental data | 70 | 2 |
| Citation downloads | 45 | 0 |
| Totals | 913 | 129 |
| Total Views | 1,042 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)