Using in silico transcriptomics to search for tumor-associated antigens for immunotherapy.
Vaccine
; 19(17-19): 2607-14, 2001 Mar 21.
Article
in En
| MEDLINE
| ID: mdl-11257399
ABSTRACT
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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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Cancer Vaccines
/
Immunotherapy
/
Antigens, Neoplasm
/
Neoplasms
Type of study:
Risk_factors_studies
Limits:
Female
/
Humans
/
Male
Language:
En
Journal:
Vaccine
Year:
2001
Document type:
Article
Affiliation country:
Belgium