| Chapter title |
Human Microtumors Generated in 3D: Novel Tools for Integrated In Situ Studies of Cancer Immunotherapies.
|
|---|---|
| Chapter number | 15 |
| Book title |
Tumor Immunology
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3338-9_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3336-5, 978-1-4939-3338-9
|
| Authors |
Lothar Hambach, Andreas Buser, Marcel Vermeij, Nadine Pouw, Theo van der Kwast, Els Goulmy, Hambach, Lothar, Buser, Andreas, Vermeij, Marcel, Pouw, Nadine, van der Kwast, Theo, Goulmy, Els |
| Editors |
Attilio Bondanza, Monica Casucci |
| Abstract |
Cellular immunotherapy targeting human tumor antigens is a promising strategy to treat solid tumors. Yet clinical results of cellular immunotherapy are disappointing. Moreover, the currently available in vitro human tumor models are not designed to study the optimization of T-cell therapies of solid tumors. Here, we describe a novel assay for multiparametric in situ analysis of therapeutic effects on individual human three-dimensional (3D) tumors. In this assay, tumors of several millimeter diameter are generated from human cancer cell lines of different tumor entities in a collagen type I microenvironment. A newly developed approach for efficient morphological analysis reveals that these in vitro tumors resemble many characteristics of the corresponding clinical cancers such as histological features, immunohistochemical staining patterns, distinct tumor growth compartments and heterogeneous protein expression. To assess the response to therapy with tumor antigen specific T-cells, standardized protocols are described to determine T-cell infiltration and tumor destruction by monitoring soluble factors and tumor growth. Human tumors engineered in 3D collagen scaffolds are excellent in vitro surrogates for avascular tumor stages allowing integrated analyses of the antitumor efficacy of cancer specific immunotherapy in situ. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Student > Bachelor | 2 | 8% |
| Professor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 33% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Neuroscience | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |