| Chapter title |
Glycan Markers as Potential Immunological Targets in Circulating Tumor Cells
|
|---|---|
| Chapter number | 15 |
| Book title |
Isolation and Molecular Characterization of Circulating Tumor Cells
|
| Published in |
Advances in experimental medicine and biology, May 2017
|
| DOI | 10.1007/978-3-319-55947-6_15 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-955946-9, 978-3-31-955947-6
|
| Authors |
Wang, Denong, Wu, Lisa, Liu, Xiaohe, Denong Wang, Lisa Wu, Xiaohe Liu |
| Abstract |
We present here an experimental approach for exploring a new class of tumor biomarkers that are overexpressed by circulating tumor cells (CTCs) and are likely targetable in immunotherapy against tumor metastasis. Using carbohydrate microarrays, anti-tumor monoclonal antibodies (mAbs) were scanned against a large panel of carbohydrate antigens to identify potential tumor glycan markers. Subsequently, flow cytometry and fiber-optic array scanning technology (FAST) were applied to determine whether the identified targets are tumor-specific cell-surface markers and are, therefore, likely suitable for targeted immunotherapy. Finally, the tumor glycan-specific antibodies identified were validated using cancer patients' blood samples for their performance in CTC-detection and immunotyping analysis. In this article, identifying breast CTC-specific glycan markers and targeting mAbs serve as examples to illustrate this tumor biomarker discovery strategy. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Namibia | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 24% |
| Student > Bachelor | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Medicine and Dentistry | 2 | 12% |
| Neuroscience | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |