Usage Information
Citation Information: JCI Insight. 2018;3(12):e99880. https://doi.org/10.1172/jci.insight.99880.
Abstract
Mucin 1 (MUC1) is a heterodimeric protein that is aberrantly overexpressed on the surface of diverse human carcinomas and is an attractive target for the development of mAb-based therapeutics. However, attempts at targeting the shed MUC1 N-terminal subunit have been unsuccessful. We report here the generation of mAb 3D1 against the nonshed oncogenic MUC1 C-terminal (MUC1-C) subunit. We show that mAb 3D1 binds with low nM affinity to the MUC1-C extracellular domain at the restricted α3 helix. mAb 3D1 reactivity is selective for MUC1-C–expressing human cancer cell lines and primary cancer cells. Internalization of mAb 3D1 into cancer cells further supported the conjugation of mAb 3D1 to monomethyl auristatin E (MMAE). The mAb 3D1-MMAE antibody-drug conjugate (ADC) (a) kills MUC1-C–positive cells in vitro, (b) is nontoxic in MUC1-transgenic (MUC1.Tg) mice, and (c) is active against human HCC827 lung tumor xenografts. Humanized mAb (humAb) 3D1 conjugated to MMAE also exhibited antitumor activity in (a) MUC1.Tg mice harboring syngeneic MC-38/MUC1 tumors, (b) nude mice bearing human ZR-75-1 breast tumors, and (c) NCG mice engrafted with a patient-derived triple-negative breast cancer. These findings and the absence of associated toxicities support clinical development of humAb 3D1-MMAE ADCs as a therapeutic for the many cancers with MUC1-C overexpression.
Authors
Govind Panchamoorthy, Caining Jin, Deepak Raina, Ajit Bharti, Masaaki Yamamoto, Dennis Adeebge, Qing Zhao, Roderick Bronson, Shirley Jiang, Linjing Li, Yozo Suzuki, Ashujit Tagde, P. Peter Ghoroghchian, Kwok-Kin Wong, Surender Kharbanda, Donald Kufe
Usage data is cumulative from June 2022 through June 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,547 | 817 |
| 386 | 232 | |
| Figure | 578 | 30 |
| Supplemental data | 146 | 66 |
| Citation downloads | 48 | 0 |
| Totals | 3,705 | 1,145 |
| Total Views | 4,850 | |
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.
