Activating EGFR mutations occur in human non–small cell lung cancer (NSCLC), with 5% of human lung squamous cell carcinomas having EGFRvIII mutations and approximately 10%–30% of lung adenocarcinomas having EGFR kinase domain mutations. An EGFR-targeting monoclonal antibody, mAb806, recognizes a conformational epitope of WT EGFR as well as the truncated EGFRvIII mutant. To explore the anticancer spectrum of this antibody for EGFR targeted cancer therapy, mAb806 was used to treat genetically engineered mice with lung tumors that were driven by either EGFRvIII or EGFR kinase domain mutations. Our results demonstrate that mAb806 is remarkably effective in blocking EGFRvIII signaling and inducing tumor cell apoptosis, resulting in dramatic tumor regression in the EGFRvIII-driven murine lung cancers. Another EGFR-targeting antibody, cetuximab, failed to show activity in these lung tumors. Furthermore, treatment of murine lung tumors driven by the EGFR kinase domain mutation with mAb806 also induced significant tumor regression, albeit to a less degree than that observed in EGFRvIII-driven tumors. Taken together, these data support the hypothesis that mAb806 may lead to significant advancements in the treatment of the population of NSCLC patients with these 2 classes of EGFR mutations.
Danan Li, Hongbin Ji, Sara Zaghlul, Kate McNamara, Mei-Chih Liang, Takeshi Shimamura, Shigeto Kubo, Masaya Takahashi, Lucian R. Chirieac, Robert F. Padera, Andrew M. Scott, Achim A. Jungbluth, Webster K. Cavenee, Lloyd J. Old, George D. Demetri, Kwok-Kin Wong
Usage data is cumulative from April 2023 through April 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 222 | 34 |
82 | 9 | |
Figure | 66 | 6 |
Citation downloads | 16 | 0 |
Totals | 386 | 49 |
Total Views | 435 |
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.