Using in silico transcriptomics to search for tumor-associated antigens for immunotherapy
Immunotherapy approaches to fight cancer are based on the principle of mounting an immune response against a self-antigen expressed by the tumor cells. In order to reduce potential autoimmunity side-effects, the antigens used should be as tumor-specific as possible. A complementary approach to exper...
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Published in | Vaccine Vol. 19; no. 17; pp. 2607 - 2614 |
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Main Authors | , , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Oxford
Elsevier Ltd
21.03.2001
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Immunotherapy approaches to fight cancer are based on the principle of mounting an immune response against a self-antigen expressed by the tumor cells. In order to reduce potential autoimmunity side-effects, the antigens used should be as tumor-specific as possible. A complementary approach to experimental tumor antigen discovery is to screen the human genome in silico, particularly the databases of “Expressed Sequence Tags” (ESTs), in search of tumor-specific and tumor-associated antigens. The public databases currently provide a massive amount of ESTs from several hundreds of cDNA tissue libraries, including tumoral tissues from various types. We describe a novel method of EST database screening that allows new potential tumor-associated genes to be efficiently selected. The resulting list of candidates is enriched in known genes, described as being expressed in tumor cells. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-2 ObjectType-Feature-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Conference-3 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 |
ISSN: | 0264-410X 1873-2518 |
DOI: | 10.1016/S0264-410X(00)00500-4 |