Title |
Immunotherapy Targets in Pediatric Cancer
|
---|---|
Published in |
Frontiers in oncology, January 2012
|
DOI | 10.3389/fonc.2012.00003 |
Pubmed ID | |
Authors |
Rimas J. Orentas, Daniel W. Lee, Crystal Mackall |
Abstract |
Immunotherapy for cancer has shown increasing success and there is ample evidence to expect that progress gleaned in immune targeting of adult cancers can be translated to pediatric oncology. This manuscript reviews principles that guide selection of targets for immunotherapy of cancer, emphasizing the similarities and distinctions between oncogene-inhibition targets and immune targets. It follows with a detailed review of molecules expressed by pediatric tumors that are already under study as immune targets or are good candidates for future studies of immune targeting. Distinctions are made between cell surface antigens that can be targeted in an MHC independent manner using antibodies, antibody derivatives, or chimeric antigen receptors versus intracellular antigens which must be targeted with MHC restricted T cell therapies. Among the most advanced immune targets for childhood cancer are CD19 and CD22 on hematologic malignancies, GD2 on solid tumors, and NY-ESO-1 expressed by a majority of synovial sarcomas, but several other molecules reviewed here also have properties which suggest that they too could serve as effective targets for immunotherapy of childhood cancer. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Comoros | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
United States | 1 | 1% |
Netherlands | 1 | 1% |
Canada | 1 | 1% |
Unknown | 77 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 23% |
Researcher | 14 | 17% |
Student > Master | 8 | 10% |
Student > Bachelor | 7 | 9% |
Student > Doctoral Student | 5 | 6% |
Other | 16 | 20% |
Unknown | 12 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 36% |
Agricultural and Biological Sciences | 20 | 25% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Immunology and Microbiology | 5 | 6% |
Computer Science | 4 | 5% |
Other | 7 | 9% |
Unknown | 11 | 14% |