Human pregnancy is accompanied by modifications in B cell development and immunoglobulin profile.

Though human pregnancy success has been classically linked with a shift into a Th2 immunoglobulin producing cell response, a clear picture concerning B cell development and immunoglobulin profile during human pregnancy is missing. We analyzed in this work the dynamic of different B cell populations in peripheral blood of pregnant women on the first, second and third trimester of pregnancy. As control, age-matched non-pregnant fertile women were included. Additionally, we quantified the levels of immunoglobulin (IgG1, IgG2, IgG3, IgG4, IgM, IgA and IgE) in the serum of pregnant and non-pregnant women. We observed a significant decrease in the percentages of transitional B cells in peripheral blood of pregnant women as compared to non-pregnant control women. Besides, percentages of naïve as well as switched and non-switched memory B cells in peripheral blood of pregnant women were similar to those in non-pregnant control women. Interestingly, although we did not observe differences in the activation status of B cells as well as in the percentages of plasma cells between pregnant and non-pregnant women, we observed significantly higher levels of IgM, IgA, IgG3, more likely natural antibodies, as well IgG4 in serum of pregnant women compared to non-pregnant age matched control women.

Activation of the PI3K/AKT pathway correlates with prognosis in stage II colon cancer.

BACKGROUND: Patients with UICC/AJCC stage II colon cancer have a high 5-year overall survival rate after surgery. Nevertheless, a significant subgroup of patients develops tumour recurrence. Currently, there are no clinically established biomarkers available to identify this patient group. We applied reverse-phase protein arrays (RPPA) for phosphatidylinositide-3-kinase pathway activation mapping to stratify patients according to their risk of tumour recurrence after surgery. METHODS: Full-length proteins were extracted from formalin-fixed, paraffin-embedded tissue samples of 118 patients who underwent curative resection. RPPA technology was used to analyse expression and/or phosphorylation levels of six major factors of the phosphatidylinositide-3-kinase pathway. Oncogenic mutations of KRAS and BRAF, and DNA microsatellite status, currently discussed as prognostic markers, were analysed in parallel. RESULTS: Expression of phospho-AKT (HR=3.52; P=0.032), S6RP (HR=6.3; P=0.044), and phospho-4E-BP1 (HR=4.12; P=0.011) were prognostic factors for disease-free survival. None of the molecular genetic alterations were significantly associated with prognosis. CONCLUSIONS: Our data indicate that activation of the PI3K/AKT pathway evidenced on the protein level might be a valuable prognostic marker to stratify patients for their risk of tumour recurrence. Beside adjuvant chemotherapy targeting of upregulated PI3K/AKT signalling may be an attractive strategy for treatment of high-risk patients.

A specific expression profile of heat-shock proteins and glucose-regulated proteins is associated with response to neoadjuvant chemotherapy in oesophageal adenocarcinomas.

BACKGROUND: Oesophageal adenocarcinomas often show resistances to chemotherapy (CTX), therefore, it would be of high interest to better understand the mechanisms of resistance. We examined the expression of heat-shock proteins (HSPs) and glucose-regulated proteins (GRPs) in pretherapeutic biopsies of oesophageal adenocarcinomas to assess their potential role in CTX response. METHODS: Ninety biopsies of locally advanced adenocarcinomas before platin/5-fluorouracil (FU)-based CTX were investigated by reverse phase protein arrays (RPPAs), immunohistochemistry (IHC) and quantitative RT-PCR. RESULTS: CTX response strongly correlated with survival (P=0.001). Two groups of tumours with specific protein expression patterns were identified by RPPA: Group A was characterised by low expression of HSP90, HSP27 and p-HSP27((Ser15, Ser78, Ser82)) and high expression of GRP78, GRP94, HSP70 and HSP60; Group B exhibited the inverse pattern. Tumours of Group A were more likely to respond to CTX, resulting in histopathological tumour regression (P=0.041) and post-therapeutic down-categorisation from cT3 to ypT0-T2 (P=0.040). High HSP60 protein (IHC) and mRNA expression were also associated with tumour down-categorisation (P=0.016 and P=0.004). CONCLUSION: Our findings may enhance the understanding of CTX response mechanisms, might be helpful to predict CTX response and might have translational relevance as they highlight the role of potentially targetable cellular stress proteins in the context of CTX response.

UPA and PAI-1 analysis from fixed tissues - new perspectives for a known set of predictive markers.

The urokinase-type plasminogen activator (uPA) and its main inhibitor PAI-1 play key roles in tumor-associated processes such as the degradation of the extracellular matrix (ECM), tissue remodeling, cell adhesion and migration. Elevated expression of both molecules is known to correlate with negative outcomes in node negative breast cancer. To date, these molecules are the only prognostic markers to have reached the highest level of evidence (LOE I) in multi-centered clinical trials for prognosis of node negative breast cancer. Unfortunately, the clinical utility of these molecules as markers is limited by the use of enzyme-linked immunoassay (ELISA) tests for their detection. The ELISA relies on the use of fresh or frozen tissue, which are rarely available in routine clinical settings. In this review article, we provide an overview of the clinical relevance of uPA and PAI-1 and present alternative methods for their detection. Common uPA and PAI-1 detection methods discussed in literature include RT-PCR-based assays and classical immunohistochemistry approaches. In recent years, attempts have been made to isolate and analyze proteins of formalin fixed, paraffin embedded (FFPE) tissues. These new methods are of special interest because up to now neither RT-PCR nor immunohistochemistry are recommended for the detection of uPA and PAI-1. Here, we present an approach for the analysis of uPA and PAI-1 directly from FFPE tissues that may eventually overcome the limitations of current assays and make the use of both markers widely available for routine prognosis and therapy decisions for breast cancer patients.

[Update on protein analysis of fixed tissues]. / Neues zur Proteinanalytik archivierter Gewebeproben.

Tissue samples have been routinely used for decades to distinguish healthy from diseased tissue in histopathological characterization. While nucleic acid-based methodologies have been successfully in use for many years, protein-based techniques, in contrast, are at a very early stage (with the exception of immunohistochemistry). One reason for this delay may be that the scientific community has long thought that formalin-fixed and paraffin embedded (FFPE) tissues are unfit for protein analysis. However, recent reports demonstrate that many protein methods that are routinely used for frozen tissues can also be applied for FFPE tissues, including Western blot, protein microarray, matrix-assisted laser desorption/ionization (MALDI) imaging and 2D gel electrophoresis. The present article provides an overview of recent developments in this field, focussing particular attention on quantitative analysis and high throughput technologies that have the potential to be integrated into the routine workflow of clinical pathology laboratories.

Deciphering signaling pathways in clinical tissues for personalized medicine using protein microarrays.

The current transition in cancer therapy from general treatment approaches, based mainly on chemotherapy and radiotherapy, to more directed approaches that aim to inhibit specific molecular targets has brought about new challenges for pathology. In the past, classical assignment of pathology consisted of tumor diagnosis and staging for further therapy decisions; nowadays, pathologists are asked to predict possible therapeutic results by detecting and quantifying therapeutic targets in tumors such as the human epidermal growth factor receptor 2 (HER2). The best approach to analyze such molecular targets is to provide a tumor-specific protein expression profile prior to therapy. To further elucidate signaling networks underlying cancer development and to identify new targets, it is necessary to implement tools that allow fast, precise, cheap, and simultaneous analysis of many network components while requiring only a small amount of clinical material. Reverse phase protein microarray (RPPA) is a promising technology that meets these requirements while enabling quantitative measurement of proteins. Recently, methods for the extraction of proteins from formalin-fixed, paraffin-embedded (FFPE) tissues have become available. In this article, we demonstrate how the use of RPPA to analyze signaling pathways from FFPE tissues may improve quantification of therapeutic targets and diagnostic markers in the near future.

Targeted therapies in cancer - challenges and chances offered by newly developed techniques for protein analysis in clinical tissues.

In recent years, new anticancer therapies have accompanied the classical approaches of surgery and radio- and chemotherapy. These new forms of treatment aim to inhibit specific molecular targets namely altered or deregulated proteins, which offer the possibility of individualized therapies.The specificity and efficiency of these new approaches, however, bring about a number of challenges. First of all, it is essential to specifically identify and quantify protein targets in tumor tissues for the reasonable use of such targeted therapies. Additionally, it has become even more obvious in recent years that the presence of a target protein is not always sufficient to predict the outcome of targeted therapies. The deregulation of downstream signaling molecules might also play an important role in the success of such therapeutic approaches. For these reasons, the analysis of tumor-specific protein expression profiles prior to therapy has been suggested as the most effective way to predict possible therapeutic results. To further elucidate signaling networks underlying cancer development and to identify new targets, it is necessary to implement tools that allow the rapid, precise, inexpensive and simultaneous analysis of many network components while requiring only a small amount of clinical material.Reverse phase protein microarray (RPPA) is a promising technology that meets these requirements while enabling the quantitative measurement of proteins. Together with recently developed protocols for the extraction of proteins from formalin-fixed, paraffin-embedded (FFPE) tissues, RPPA may provide the means to quantify therapeutic targets and diagnostic markers in the near future and reliably screen for new protein targets.With the possibility to quantitatively analyze DNA, RNA and protein from a single FFPE tissue sample, the methods are available for integrated patient profiling at all levels of gene expression, thus allowing optimal patient stratification for individualized therapies.