Regine Gätje

Stable gene silencing of cyclin B1 in tumor cells increases susceptibility to taxol and leads to growth arrest in vivo.

Cyclin B1 is the regulatory subunit of cyclin-dependent kinase 1 (Cdk1) and is critical for the initiation of mitosis. Accumulating data indicate that the deregulation of cyclin B1 is tightly linked to neoplastic transformation. To study the phenotype and the potential preclinical relevance, we generated HeLa cell lines stably transfected with the plasmids encompassing short hairpin RNA (shRNA) targeting cyclin B1. We demonstrate that the reduction of cyclin B1 caused inhibition of proliferation by arresting cells in G2 phase and by inducing apoptosis. Cells, entering mitosis, were impaired in chromosome condensation and alignment. Importantly, HeLa cells with reduced cyclin B1 were more susceptible to the treatment of small interfering RNA targeting Polo-like kinase 1 (Plk1) and to the administration of the chemotherapeutic agent taxol. Finally, HeLa cells with reduced cyclin B1 showed inhibited tumor growth in nude mice compared to that of control cells. In summary, our data indicate that cyclin B1 is an essential molecule for tumor cell survival and aggressive proliferation, suggesting that the downregulation of cyclin B1, especially in combination with other molecular targets, might become an interesting strategy for antitumor intervention.

Targeting cyclin B1 inhibits proliferation and sensitizes breast cancer cells to taxol

BackgroundCyclin B1, the regulatory subunit of cyclin-dependent kinase 1 (Cdk1), is essential for the transition from G2 phase to mitosis. Cyclin B1 is very often found to be overexpressed in primary breast and cervical cancer cells as well as in cancer cell lines. Its expression is correlated with the malignancy of gynecological cancers.MethodsIn order to explore cyclin B1 as a potential target for gynecological cancer therapy, we studied the effect of small interfering RNA (siRNA) on different gynecological cancer cell lines by monitoring their proliferation rate, cell cycle profile, protein expression and activity, apoptosis induction and colony formation. Tumor formation in vivo was examined using mouse xenograft models.ResultsDownregulation of cyclin B1 inhibited proliferation of several breast and cervical cancer cell lines including MCF-7, BT-474, SK-BR-3, MDA-MB-231 and HeLa. After combining cyclin B1 siRNA with taxol, we observed an increased apoptotic rate accompanied by an enhanced antiproliferative effect in breast cancer cells. Furthermore, control HeLa cells were progressively growing, whereas the tumor growth of HeLa cells pre-treated with cyclin B1 siRNA was strongly inhibited in nude mice, indicating that cyclin B1 is indispensable for tumor growth in vivo.ConclusionOur data support the notion of cyclin B1 being essential for survival and proliferation of gynecological cancer cells. Concordantly, knockdown of cyclin B1 inhibits proliferation in vitro as well as in vivo. Moreover, targeting cyclin B1 sensitizes breast cancer cells to taxol, suggesting that specific cyclin B1 targeting is an attractive strategy for the combination with conventionally used agents in gynecological cancer therapy.

Data driven derivation of cutoffs from a pool of 3,030 Affymetrix arrays to stratify distinct clinical types of breast cancer

Pooling of microarray datasets seems to be a reasonable approach to increase sample size when a heterogeneous disease like breast cancer is concerned. Different methods for the adaption of datasets have been used in the literature. We have analyzed influences of these strategies using a pool of 3,030 Affymetrix U133A microarrays from breast cancer samples. We present data on the resulting concordance with biochemical assays of well known parameters and highlight critical pitfalls. We further propose a method for the inference of cutoff values directly from the data without prior knowledge of the true result. The cutoffs derived by this method displayed high specificity and sensitivity. Markers with a bimodal distribution like ER, PgR, and HER2 discriminate different biological subtypes of disease with distinct clinical courses. In contrast, markers displaying a continuous distribution like proliferation markers as Ki67 rather describe the composition of the mixture of cells in the tumor.

Loss of Plexin B1 is highly prognostic in low proliferating ER positive breast cancers - Results of a large scale microarray analysis

Plexins, cell-surface receptors for semaphorins, are involved in cell adhesion and migration. In the previous work, we demonstrated that the loss of Plexin B1 expression is associated with poor outcome in breast cancer patients. The goal of the present study was a validation of Plexin B1 expression in a large scale microarray dataset from n=1086 breast cancer patients. Plexin B1 correlates with ER status (p<0.001) and is of prognostic significance only in ER positive (p=0.024) but not in ER negative samples (p=0.85). Among ER positive tumours, the loss of Plexin B1 expression is associated with a positive ErbB2 status (p=0.05) and a high Ki67 expression (p=0.016) in univariate analysis. Multivariate Cox regression including all standard parameters among ER positive tumours revealed that Plexin B1 (HR 1.59, 95% confidence interval (CI) 1.03-2.47, p=0.036) remains a significant prognostic marker besides tumour size (HR 2.27, 95% CI 1.33-3.89, p=0.0028) and Ki67 (HR 1.78, 95% CI 1.12-2.84, p=0.0149). Interestingly, the prognostic value of Plexin B1 was pronounced in low proliferating ER positive tumours otherwise characterised by a low risk of recurrence. In conclusion, this study confirms our previous observations suggesting Plexin B1 as a new prognostic marker in ER positive breast cancers.

Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation

BACKGROUND Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. MATERIAL AND METHODS We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. RESULTS The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27-3.20; P=0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96-3.64; P=0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. CONCLUSIONS MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic.

Cross-reactive staining of normal bone-marrow cells by monoclonal antibody 2E11.

The monoclonal antibody (MAb) 2E11 is commonly used for detection of microdisseminated epithelial cells in bone marrow of cancer patients. Surprisingly, in an earlier report 2E11 was shown to bind to mononuclear cells in bone marrow in 61% of healthy donors. In the present study we tested whether this cross‐reaction with non‐epithelial bone‐marrow cells can be characterized further. In addition, we analyzed the influence of 2E11 concentration on the staining of mononuclear cells. We performed immunocytochemical double stainings of bone‐marrow aspirations from breast‐cancer patients using 2E11/A45‐B/B3 (MAb against cytokeratin 8, 18, 19) and 2E11/CD45 (MAb against CD45‐leukocyte common antigen), while tumor cell lines MCF‐7 and K526 as well as bone marrow from breast‐cancer patients were treated with different concentrations of 2E11. A portion of 2E11‐positive cells was characterized as hematopoietic cells by CD‐45‐binding, while others were identified as epithelial cells by A45‐B/B3‐binding. We defined a concentration of 2E11 to immunolabel epithelial cells and distinguish hematopoietic cells. Higher concentrations of 2E11 enhance staining of hematopoietic cells, to match that of epithelial cells. We conclude that 2E11 shows cross‐reactivity to epitopes displayed by hematopoietic cells. However, specific staining of epithelial cells can be achieved. As long as there is no antibody available which is highly specific for epithelial cells, detection of microdisseminated tumor cells in bone marrow by antigen‐antibody reaction should be verified morphological criteria. Int. J. Cancer (Pred. Oncol.) 84:502–505, 1999.

Acid ceramidase (AC)--a key enzyme of sphingolipid metabolism--correlates with better prognosis in epithelial ovarian cancer.

Acid ceramidase (AC), a key enzyme of sphingolipid metabolism, seems to play an important role in cancer progression. The objective of this study was to explore the expression of AC in ovarian cancer and its impact on prognosis. Expression analysis of AC in n=112 ovarian cancer patients was performed by immunohistochemical analysis of primary paraffin-embedded tumor samples. The results were scored on the basis of the staining intensity and percentage of positive tumor cells, resulting in an immunoreactive score from 0 to 12. These results were correlated to clinical and pathologic characteristics and survival. AC expression correlated significantly only with FIGO stage (0.047). In serous carcinoma, low level of AC was independently associated with reduced progression-free survival and overall survival of 12.0 mo [95% confidence interval (CI), 5.78–18.23] versus 18.1 mo (95% CI, 11.61–24.59; P=0.008) and 35.7 mo (95% CI, 22.24–47.16) versus 58.7 mo (95% CI, 36.48–80.91; P=0.032), respectively. In multivariate analysis, AC presents as an independent prognostic factor for progression-free survival (hazard ratio 1.88; 95% CI, 1.13–3.11; P=0.015). AC is a prognostic factor in epithelial ovarian cancer. Low AC expression can be associated with tumor progression in carcinoma of the ovaries. These results are in contrast to the concept of AC as a promoter for cancer progression. Nevertheless, they are supported by the lately discovered tumor-suppressing function of sphingosine, the enzymatic product of AC.