PURPOSE: The absence of @entity5 -associated antigens ( @entity2796 ) which might elicit an immune response is one reason for the disappointing results of therapeutical vaccines in @entity5 @entity1 . Moreover, impaired expression of MHC class-I and components involved in antigen processing, such as @entity31572 , @entity10553 , -7, and @entity8459 , may lead to @entity5 escape from immune recognition. Expression profiling of @entity2796 is one approach towards the design of well-defined and individualized anti- @entity5 vaccines. METHODS: Quantitative polymerase chain reaction (qRT-PCR) is the method of choice to characterize immunologically relevant properties of individual @entity5 . However, the application of qRT-PCR as a surrogate parameter for the expression of TAAs depends upon the assumption that the level of an mRNA species correlates with the cellular level of the protein it encodes. Therefore, we additionally analyzed @entity2796 expression by immunofluorescence and T cell recognition. RESULTS: In the present study we were unable to confirm that impaired @entity31572 ) expression characterized at the mRNA level is an appropriate surrogate parameter for down-regulated MHC class-I expression in @entity0 . In addition, we analyzed the expression pattern of TAAs in @entity5344 cell lines. Besides the well-known over-expression of @entity1722 , @entity787 , and @entity2355 , multiple antigens of the MAGE-family were frequently co-expressed. We investigated whether detection of TAAs by qRT-PCR correlates with monoclonal antibody staining, and which method could predict T cell recognition. We demonstrated a correlation between @entity5 cell lysis by HLA-A*0201-restricted, @entity2355 -specific CTL and threshold levels of @entity2355 -specific mRNA. CONCLUSION: @entity2355 is an example that @entity2796 profiling by RT-PCR and flow cytometry can fail to correlate with each other and are of limited value in the prediction of T cell recognition.

Tumor-associated antigen profiling in XXXX : mRNA, protein or T cell recognition?

@entity1 :: ('9606', 'Species') :: ['patients'] @entity2796 :: ('CHEBI:32497', 'Chemical') :: ['TAA'] @entity8459 :: ('5699', 'Gene') :: ['MECL-1'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer'] @entity5344 :: ('MESH:D061325', 'Disease') :: ['breast and ovarian cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'cancer', 'tumors'] @entity10553 :: ('5698', 'Gene') :: ['LMP-2'] @entity787 :: ('1084', 'Gene') :: ['CEA'] @entity31572 :: ('6890;6891', 'Gene') :: ['TAP-1 or -2 (transporter associated with antigen processing', 'TAP-1, -2'] @entity2355 :: ('4582', 'Gene') :: ['MUC-1'] @entity1722 :: ('2064', 'Gene') :: ['HER-2/neu']
@entity5344 :: (MESH:D061325,Disease) :: ['breast and ovarian cancer']
