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Antigen-specific T-cell responses may be described by combining three categories: (i) the specificity and effector functions of a T-cell population, (ii) the quantity of T-cell responses (i.e., the number of responding T cells within the CD4/CD8 population), and (iii) the "quality" of T cells (defined by the T-cell receptor [TCR] structure). Several methods to measure T-cell responses are now available including evaluation of T-cell precursors using limiting dilution, the enzyme-linked immunospot assay, ex vivo TCR variable (v)-segment analysis determined by flow cytometry, and TCR-CDR3 length analysis (spectratyping), as well as identification of peptide-specific T cells using major histocompatibility complex (MHC) class I tetramers containing appropriate peptides. Until now, only a limited set of MHC-peptide complexes have been available as tetramer complexes. We demonstrate that CD8 ؉ or CD4 ؉ T cells in patients with cancer can be molecularly defined using a combination of spectratyping (TCR structure and "molecular composition") plus the implementation of an antibody panel directed against 21 individual VB TCR chains ("quantity" of T-cell families). This approach is instrumental in defining and comparing the magnitudes of CD4 ؉ or CD8 ؉ T-cell responses over time in individual patients, in comparing the TCR VA and VB repertoire in different anatomic compartments, and in comparing the TCR VA-VB diversity with that in normal healthy controls. This method provides the means of objectively defining and comparing the TCR repertoire in patients undergoing vaccination protocols and underlines the necessity to calibrate the TCR-CDR3 analysis with a qualitative assessment of individual TCR VB families.

Steiner E, Eicher O, Sagemü ller J, Schmidt M, Pilch H, Tanner B, Hengstler JG, Hofmann M, Knapstein PG. Multivariate independent prognostic factors in endometrial carcinoma. A clinical pathologic study in 181 patients: 10 years experience at

The objective of this study was to assess whether the presence of human papillomavirus (HPV) DNA and/or several genotypes of HPV DNA in cervical cancer are correlated with several clinicopathologic parameters of well-defined prognostic significance and whether virologic parameters are predictors of long-term survival in cancer patients. Two hundred twenty three cases of cervical cancer patients included in this retrospective study underwent follow-up evaluation. Survival and cause of death were examined for 204 (91.4%) patients, with a mean follow-up time of 4.4 years. HPV DNA was detected using the highly sensitive polymerase chain reaction (PCR) method followed by HPV DNA sequencing for HPV genotyping. These results were correlated with well-defined clinicopathologic parameters and survival data. HPV DNA was detected by PCR in 150 of 193 (73.4%) tissue specimens of cervical cancer patients. DNA sequence analysis revealed the presence of HPV 16 (n = 68, 45.3%), HPV 18 (n = 49, 32.6%) and rare HPV types (n = 33, 22.1%). HPV genotypes correlated significantly with histologic tumor types, node status, tumor oxygenation, blood vessel invasion, and lymph space involvement. The presence of HPV DNA in cervical cancer as well as the genotype of HPV 16 could also be confirmed as significant prognostic factors in the univariate Cox regression analysis (RR 2.856, P < 0.003 resp. RR 3.444, P < 0.0001). In the multivariate analysis, however, HPV DNA status failed to be of prognostic relevance. Exclusively HPV 16 appears to have an independent impact on the overall survival in cervical patients (RR 3.653, P < 0.002). We conclude that the detection of HPV 16 genotype may play an important adjunct role in assessing prognosis of cervical cancer patients. The clinical impact of the presence of HPV DNA in primary tumors of uterine cervix remains to be investigated in further studies, and the exact mechanisms by which HPV influences the prognosis of cervical cancer patients have to be defined.

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