Quantification and Clinical Relevance of Cystatin C

An aging population and increasing rates of diabetes mellitus contribute to a high prevalence of kidney dysfunction – approximately 10 percent of adults in developed countries have chronic kidney disease (CKD). CKD is a progressive loss of kidney function and this remains permanent. Early recognition of this condition is important for prevention or impeding severe adverse cardiac and renal outcomes. Cystatin C is a low molecular weight cysteine protease inhibitor that has emerged as a biomarker of kidney function. The special potential of plasma cystatin C in this setting is related to its independency of muscle mass, which is a remarkable limitation of the traditional marker creatinine. Cystatin C is a sensitive marker in diagnosing mild and moderate CKD, especially in small children, in the elderly and in conditions where muscle mass is affected. Cystatin C is quantified with immunoassays, mainly based on particle-enhanced nephelometry (PENIA) or turbidimetry (PETIA). The aim of this study was to develop a rapid and reliable assay for quantification of human cystatin C in plasma or serum by utilizing time-resolved fluorescence-based immunoassay methods. This was accomplished by utilizing different antibodies, including polyclonal and 7 monoclonal antibodies against cystatin C. Different assay designs were tested and the best assay was further modified to a dry-reagent double monoclonal assay run on an automated immunonalyzer. This assay was evaluated for clinical performance in estimating reduced kidney function and in predicting risk of adverse outcomes in patients with non-ST elevation acute coronary syndrome. Of the tested assay designs, heterogeneous non-competitive assay had the best performace and was chosen to be developed further. As an automated double monoclonal assay, this assay enabled a reliable measurement of clinically relevant cystatin C concentrations. It also showed a stronger concordance with the reference clearance method than the conventional PETIA method in patients with reduced kidney function. Risk of all-cause mortality and combined events, defined by death and myocardial infarction, increased with higher cystatin C and cystatin C remained an independent predictor of death and combined events after adjustment to nonbiochemical baseline factors. In conclusion, the developed dry-reagent double monoclonal assay allows rapid and reliable quantitative measurement of cystatin C. As measured with the developed assay, cystatin C is a potential predictor of adverse outcomes in cardiac patients.

Effects of Cytochrome P450 Enzyme Inhibitors on the Pharmacokinetics of Nonsteroidal Anti-inflammatory Drugs and Venlafaxine

Cytochrome P450 (CYP) enzymes play a pivotal role in the metabolism of many drugs. Inhibition of CYP enzymes usually increases the plasma concentrations of their substrate drugs and can thus alter the safety and efficacy of these drugs. The metabolism of many widely used nonsteroidal antiinflammatory drugs (NSAIDs) as well as the metabolism of the antidepressant venlafaxine is nown to be catalyzed by CYP enzymes. In the present studies, the effect of CYP inhibition on the armacokinetics and pharmacodynamics of NSAIDs and venlafaxine was studied in clinical trials with healthy volunteers and with a crossover design, by using different antifungal agents as CYP inhibitors. The results of these studies demonstrate that the inhibition of CYP enzymes leads to increased concentrations of NSAIDs. In most cases, the exposure to ibuprofen, diclofenac, etoricoxib, and meloxicam was increased 1.5to 2 fold when they were used concomitantly with antifungal agents. CYP2D6 inhibitor, terbinafine, substantially increased the concentration of parent venlafaxine, whereas the concentration of active moiety of venlafaxine (parent drug plus active metabolite) was only slightly increased. Voriconazole, an inhibitor of the minor metabolic pathway of venlafaxine, produced only minor changes in the pharmacokinetics of venlafaxine. These studies show that an evident increase in the concentrations of NSAIDs may be expected, if they are used concomitantly with CYP inhibitors. However, as NSAIDs are generally well tolerated, use of single doses of NSAIDs concomitantly with CYP inhibitors is not likely to adversely affect patient safety, whereas clinical relevance of longterm concomitant use of NSAIDs with CYP inhibitors needs further investigation. CYP2D6 inhibitors considerably affect the pharmacokinetics of venlafaxine, but the clinical significance of this interaction remains unclear.

Role of ErbB2 and ErbB4 in Cancer Growth, Prognosis and as Targets for Immunotherapy

ErbB receptors (EGFR, ErbB2, ErbB3 and ErbB4) are growth factor receptors that regulate signals of cell differentiation, proliferation, migration and survival. Inappropriate activation of these receptors is associated with the development and severity of many cancers and has prognostic and predictive value in cancer therapy. Drugs, such as therapeutic antibodies, targeted against EGFR and ErbB2, are currently used in therapy of breast, colorectal and head and neck cancers. The role of ErbB4 in tumorigenesis has remained relatively poorly understood. Alternative splicing produces four different isoforms of one ErbB4 gene. These isoforms (JM-a, JM-b, CYT-1 and CYT-2) are functionally dissimilar and proposed to have different roles in carcinogenesis. The juxtamembrane form JM-a undergoes regulated intramembrane proteolysis producing a soluble receptor ectodomain and an intracellular domain that translocates into the nucleus and regulates transcription. Nuclear signaling via JM-a isoform stimulates cancer cell proliferation. This study aimed to develop antibodies targeting the proposed oncogenic ErbB4 JM-a isoform that show potential in inhibiting ErbB4 dependent tumorigenesis. Also, the clinical relevance of ErbB4 shedding in cancer was studied. The currently used monoclonal antibody trastuzumab, targeting ErbB2, has shown efficacy in breast cancer therapy. In this study novel tissues with ErbB2 amplification and trastuzumab sensitivity were analyzed. The results of this study indicated that a subpopulation of breast cancer patients demonstrate increased shedding and cleavage of ErbB4. A JM-a isoform-specific antibody that inhibited ErbB4 shedding and consequent activation of ErbB4 had anti-tumor activity both in vitro and in vivo. Thus, ErbB4 shedding associates with tumor growth and specific targeting of the cleavable JM-a isoform could be considered as a strategy for developing novel ErbB-based cancer drugs. In addition, it was demonstrated that ErbB2 amplification is common in intestinal type gastric cancers with poor clinical outcome. Trastuzumab inhibited growth of gastric and breast cancer cells with equal efficacy. Thus, ErbB2 may be a useful target in gastric cancer.

Identification and characterization of CIP2A as a novel oncogenic inhibitor of PP2A

Inhibition of the tumor suppressor protein phosphatase 2A (PP2A) activity has been identified as one of the five key alterations required for human cell transformation. Regardless of this crucial role in human cancer development, the detailed mechanisms by which PP2A inhibition occurs in human cancers remain largely uncharacterized. PP2A regulates a plethora of cellular signaling cascades. One of the targets of PP2A is Myc oncoprotein, which is destabilized and degraded in response to PP2A-mediated dephosphorylation of Myc serine 62. In this study we identify Cancerous Inhibitor of PP2A (CIP2A) as a previously uncharacterized endogenous inhibitor of PP2A in human cancer cells. CIP2A inhibits PP2A activity leading to subsequent stabilization of the Myc protein. CIP2A promotes malignant growth of cancer cells in vitro and xenograft tumor formation in vivo and is overexpressed in cancer. Moreover, we explored the effect of CIP2A on global transcriptional profiles and validated a CIP2A-dependent transcriptional signature. Analysis of the CIP2A signature revealed both Myc-dependent and -independent functions for CIP2A. Importantly, we demonstrate that the CIP2A signature has clinical relevance in human breast cancer subtypes. Finally, we identify the genes potentially mediating the long-term growth suppression in CIP2A depleted cancer cells. Taken together, this work identifies CIP2A as a novel human oncoprotein and describes its function in cancer cells. These results may open novel possibilities for patient stratification and therapeutic intervention of cancer.

The Role of an Oncoprotein CIP2A in Breast Cancer

Cancerous inhibitor of PP2A (CIP2A) is an oncoprotein expressed in several human cancer types. Previously, CIP2A has been shown to promote proliferation of cancer cells. Mechanistically, CIP2A is known to inhibit activity of a tumor suppressor protein phosphatase 2A (PP2A) towards an oncoprotein MYC, further stabilizing MYC in human cancer. However, the molecular mechanisms how CIP2A expression is induced during cellular transformation are not well known. Also, expression, functional role and clinical relevance of CIP2A in breast cancer had not been studied before. The results of this PhD thesis work demonstrate that CIP2A is highly expressed in human breast cancer, and that high expression of CIP2A in tumors is a poor prognostic factor in a subset of breast cancer patients. CIP2A expression correlates with inactivating mutations of tumor suppressor p53 in human cancer. Notably, we demonstrate that p53 inactivation up-regulates CIP2A expression via increased expression of an oncogenic transcription factor E2F1. Moreover, CIP2A promotes expression of E2F1, and this novel positive feedback loop between E2F1 and CIP2A is demonstrated to regulate sensitivity to both p53-dependent and -independent senescence induction in breast cancer cells. Importantly, in a CIP2A deficient breast cancer mouse model, abrogation of CIP2A attenuates mammary tumor formation and progression with features of E2F1 inhibition and induction of senescence. Furthermore, we demonstrate that CIP2A expression defines the cellular response to a senescence-inducing chemotherapy in breast cancer. Taken together, these results demonstrate that CIP2A is an essential promoter of breast cancer tumor growth by inhibiting senescence. Finally, this study implicates inhibition of CIP2A as a promising therapy target for breast cancer.

Machine Learning and Clinical Text. Supporting Health Information Flow

Fluent health information flow is critical for clinical decision-making. However, a considerable part of this information is free-form text and inabilities to utilize it create risks to patient safety and cost-­effective hospital administration. Methods for automated processing of clinical text are emerging. The aim in this doctoral dissertation is to study machine learning and clinical text in order to support health information flow.First, by analyzing the content of authentic patient records, the aim is to specify clinical needs in order to guide the development of machine learning applications.The contributions are a model of the ideal information flow,a model of the problems and challenges in reality, and a road map for the technology development. Second, by developing applications for practical cases,the aim is to concretize ways to support health information flow. Altogether five machine learning applications for three practical cases are described: The first two applications are binary classification and regression related to the practical case of topic labeling and relevance ranking.The third and fourth application are supervised and unsupervised multi-class classification for the practical case of topic segmentation and labeling.These four applications are tested with Finnish intensive care patient records.The fifth application is multi-label classification for the practical task of diagnosis coding. It is tested with English radiology reports.The performance of all these applications is promising. Third, the aim is to study how the quality of machine learning applications can be reliably evaluated.The associations between performance evaluation measures and methods are addressed,and a new hold-out method is introduced.This method contributes not only to processing time but also to the evaluation diversity and quality. The main conclusion is that developing machine learning applications for text requires interdisciplinary, international collaboration. Practical cases are very different, and hence the development must begin from genuine user needs and domain expertise. The technological expertise must cover linguistics,machine learning, and information systems. Finally, the methods must be evaluated both statistically and through authentic user-feedback.

Multiple sclerosis and pregnancy: clinical and immunological aspects

Background: Multiple Sclerosis (MS) is an autoimmune disease of the central nervous system that affects most commonly young women in their childbearing age. Previous studies have shown that MS relapse rate usually reduces during pregnancy and increases again after delivery. Patients with MS and their treating physicians are interested to know more about the risks the disease can cause to pregnancy and how pregnancy affects the disease. The reasons for increased relapse rate after delivery are not entirely clear, but loss of pregnancy related immune tolerance and changes in the hormonal status at the time of delivery seem to be of relevance. Aims and methods: The aims of this study were to follow the natural course of MS during and after pregnancy, evaluate pregnancy related risks among MS patients, follow the inflammatory response of MS patients during and after pregnancy and clarify the risk of relevant co-morbidities known to affect other autoimmune diseases after pregnancy and compare these results to healthy controls. This study was a part of a prospective nation-wide follow-up study of 60 Finnish MS patients. All eligible MS patients were enrolled in the study during the years 2003-2005. A prospective followup continued from early pregnancy until six months postpartum. MS relapses, EDSS scores and obstetric details were recorded. Blood samples were obtained from the patients at early, middle, and late pregnancy, after delivery and one month, three months and six months postpartum. Results: MS patients were no more likely to experience pregnancy or delivery complications than the Finnish mothers in general. The need of instrumental assistance, however, was higher among mothers with MS. Disease activity followed the course seen in previous studies. The majority of mothers (90.2%) breastfed their babies. Contrary to previous results, breastfeeding did not protect MS patients from disease worsening after delivery in present study. Mothers with active pre-pregnancy disease chose to breastfeed less frequently and started medication instead. MS patients presented with higher prevalence of elevated thyroid autoantibodies postpartum than healthy controls, but the rate of thyroid hormonal dysfunction was similar as that of healthy controls. The mode of delivery nor the higher rate of tissue damage assessed with C-reactive protein concentration were not predictive of postpartum relapses. The prevalence of gestational diabetes was slightly higher among mothers with MS compared to Finnish mothers in general, but postpartum depression was observed in similar rates. MS patients presented with significantly lower serum concentrations of vitamin D during pregnancy and postpartum than healthy controls. Conclusions: Childbearing can be regarded as safe for mothers with MS as it is for healthy mothers in general. Breastfeeding can be recommended, but it should be done only after careful evaluation of the individual risk for postpartum disease activation. Considering MS patients tend to develop thyroid antibody positivity after delivery more often than healthy controls and that certain treatments can predispose MS patients to thyroid hormonal dysfunction, we recommend MS mothers to be screened for thyroid abnormalities during pregnancy and after delivery. Increased risk for gestational diabetes should be kept in mind when following MS mothers and glucose tolerance test in early pregnancy should be considered. Adequate vitamin D supplementation is essential for MS mothers also during pregnancy and postpartum period.