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Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
Published on: February 6, 2018
A 3D matrix platform for the rapid generation of therapeutic anti-human carcinoma monoclonal antibodies
David T Dudley1, Xiao-Yan Li1, Casey Y Hu1
1Division of Molecular Medicine and Genetics, Department of Internal Medicine, Life Sciences Institute, and.
Abstract:
Efforts to develop unbiased screens for identifying novel function-blocking monoclonal antibodies (mAbs) in human carcinomatous states have been hampered by the limited ability to design in vitro models that recapitulate tumor cell behavior in vivo. Given that only invasive carcinoma cells gain permanent access to type I collagen-rich interstitial tissues, an experimental platform was established in which human breast cancer cells were embedded in 3D aldimine cross-linked collagen matrices and used as an immunogen to generate mAb libraries. In turn, cancer-cell-reactive antibodies were screened for their ability to block carcinoma cell proliferation within collagen hydrogels that mimic the in vivo environment. As a proof of principle, a single function-blocking mAb out of 15 identified was selected for further analysis and found to be capable of halting carcinoma cell proliferation, inducing apoptosis, and exerting global changes in gene expression in vitro. The ability of this mAb to block carcinoma cell proliferation and metastatic activity was confirmed in vivo, and the target antigen was identified by mass spectroscopy as the α2 subunit of the α2β1 integrin, one of the major type I collagen-binding receptors in mammalian cells. Validating the ability of the in vitro model to predict patterns of antigen expression in the disease setting, immunohistochemical analyses of tissues from patients with breast cancer verified markedly increased expression of the α2 subunit in vivo. These results not only highlight the utility of this discovery platform for rapidly selecting and characterizing function-blocking, anticancer mAbs in an unbiased fashion, but also identify α2β1 as a potential target in human carcinomatous states.
Insights
Researchers developed a 3D collagen model to find new cancer-blocking antibodies. One antibody effectively halted cancer cell growth and metastasis by targeting the α2β1 integrin, showing promise for cancer therapy.
Area of Science:
- Oncology
- Immunology
- Biomaterials Science
Background:
- Developing unbiased in vitro models for identifying function-blocking monoclonal antibodies (mAbs) against human carcinomas is challenging.
- Invasive carcinoma cells interact with type I collagen-rich tissues, necessitating models that mimic this environment.
Purpose of the Study:
- To establish an experimental platform for generating and screening function-blocking mAbs against human breast cancer cells.
- To validate the efficacy of identified mAbs in vitro and in vivo.
- To identify the target antigen of a promising anticancer mAb.
Main Methods:
- Human breast cancer cells were embedded in 3D collagen matrices to generate mAb libraries.
- Antibodies were screened for their ability to block carcinoma cell proliferation in collagen hydrogels.
- A selected mAb's efficacy was tested in vitro and in vivo; its target antigen was identified via mass spectroscopy.
- Immunohistochemical analysis of patient tissues validated antigen expression patterns.
Main Results:
- A novel function-blocking mAb was identified that halts carcinoma cell proliferation, induces apoptosis, and alters gene expression in vitro.
- This mAb demonstrated efficacy in blocking carcinoma cell proliferation and metastatic activity in vivo.
- The α2 subunit of α2β1 integrin was identified as the target antigen.
- Increased α2 subunit expression was observed in patient tumor tissues, validating the model's predictive capability.
Conclusions:
- The developed 3D collagen model is effective for unbiased discovery and characterization of function-blocking anticancer mAbs.
- α2β1 integrin is a potential therapeutic target for human carcinomatous states.

