Background Prostate cancer (PCa) is the most frequently diagnosed malignant disease among adult males in the USA and the second leading cause of cancer deaths in men. Due to the lack of diagnostic tools that are able to differentiate highly malignant and aggressive cases from indolent tumors, overtreatment has become very common in the era of prostate specific antigen (PSA) screening. New diagnostic methods to determine biological status, malignancy, aggressiveness and extent of PCa are urgently needed. 1H High Resolution Magic Angle Spinning Nuclear Magnetic Resonance Spectroscopy (1H HRMAS MRS) can be used to establish PCa metabolomic profiles while preserving tissue architecture for subsequent histopathological analysis. Immunohistochemistry (IHC), as opposed to conventional histopathology methods, has the potential to provide objective, more accurate and quantitative knowledge of tissue pathology. This diagnostic- accuracy study sought to evaluate a novel approach to quantitatively identify metabolomic markers of PCa by exploring the potential of PCa immunomarkers to quantify metabolomic profiles established by 1H HRMAS MRS. Material and Methods 1H HRMAS MRS was performed on tissue samples of 51 prostate cancer patients using a 14.1 Tesla NMR spectrometer (BRUKER Biospin, Billerica, MA) with a rotor synchronized CPMG pulse sequence. Spectral intensities of 36 regions of interest were measured as integrals of curve fittings with Lorentzian-Gaussian line shapes. Immunohistochemistry (IHC) was carried out following the spectroscopy scan, using three prostate immunomarkers to identify cancerous and benign glands: P504S (Alpha-methylacyl-CoA-racemace), CK903 (high-molecular weight cytokeratin) and p63. The immunostaining quality following 1H HRMAS MRS was evaluated and compared to unscanned sections of the same sample, to verify the stability and accessibility of the proposed immunomarkers. IHC images were automatically and quantitatively evaluated, using a quantitative image analysis program (QIAP), to determine the percentage of cancerous and benign epithelia in the tissue cross- sections. The results of the program were validated by a correlation with the results of a quantitative IHC review and quantitative conventional histopathology analysis performed by an experienced pathologist. Ultimately, spectral intensities and the cancer epithelium percentage, obtained from quantitative immunohistochemistry, were correlated in order to validate PCa metabolomic markers identified by 1H HRMAS MRS. Patient outcomes and incidence of recurrence were determined by retrospective review of medical records five years after initial surgery. Categories of recurrence were correlated to spectral intensities to explore potential metabolomic markers of recurrence in the cohort. Results Immunostainings with P504S and CK903 showed excellent staining quality and accessibility following 1H HRMAS MRS, suggesting these markers to be suitable for the presented quantitative approach to determine metabolomics profiles of PCa. In contrast, the quality of p63 IHC was impaired after previously performed spectroscopy. IHC using the immunomarkers P504S and CK903 on adjacent slides was found to present a feasible quantitative diagnostic method to distinguish between benign and cancerous conditions in prostate tissue. The cancer epithelium percentage as determined by QIAP showed a significant correlation to the results of quantitative IHC analysis performed by a pathologist (p < 0.001), as well as to a quantitative conventional histopathology review (p = 0.001). The same was true for the benign epithelium percentage (p < 0.001 and p = 0.0183), validating the presented approach. Two metabolomic regions showed a significant correlation between relative spectral intensities and the cancer epithelium percentage as determined by QIAP: 3.22 ppm (p = 0.015) and 2.68 ppm (p = 0.0144). The metabolites corresponding to these regions, phosphocholine and citrate, could be identified as metabolomic markers of PCa in the present cohort. 45 patients were followed for more than 12 months. Of these, 97.8% were still alive five years after initial surgery. 11 patients (24.4%) experienced a recurrence during the follow- up time. The categories of recurrence showed a correlation to the spectral intensities of two regions, 2.33 – 2.3 ppm (p = 0.0403) and 1.28 ppm (p = 0.0144), corresponding to the metabolites phosphocreatine and lipids. Conclusion This study introduces a method that allows an observer-independent, quantitative analysis of IHC to help establish metabolomic profiles and identify metabolomic markers of PCa from spectral intensities obtained with 1H HRMAS NMR Spectroscopy. The immunomarkers P504S and CK903 have been found suitable IHC analysis following 1H HRMAS MRS. A prospective in vivo application of PCa metabolite profiles and metabolomic markers determined by the presented method could serve as highly sensitive, non- invasive diagnostic tool. This observer- independent, computer- automated, quantitative analysis could help to distinguish highly aggressive tumors from low-malignant conditions, avoid overtreatment and reduce risks and complications for cancer patients in the future. Further studies are needed to verify the identified PCa metabolomic markers and to establish clinical applicability. / Einführung Prostatakrebs ist eine häufigsten Krebserkrankungen in den USA und die zweithäufigste malignom- assoziierte Todesursache männlicher Patienten weltweit. Seit der Einführung des Prostata- spezifischen Antigen (PSA)- Screeningtests wird diese Krebsart in früheren Stadien diagnostiziert und therapiert, wodurch die Mortalitätsrate in den letzten Jahren deutlich reduziert werden konnte. Da moderne diagnostische Methoden bislang jedoch nicht ausreichend in der Lage sind, suffizient zwischen hochmalignen und weniger aggressiven Varianten dieses bösartigen Krebsleidens zu unterscheiden, werden häufig auch Patienten aggressiv therapiert, deren niedriggradiges Prostatakarzinom keine klinische Relevanz gehabt hätte. Es besteht daher ein großes wissenschaftliches Interesse an der Entwicklung neuer diagnostischer Methoden zur akkuraten Bestimmung von biologischem Status, Malignität, Aggressivität und Ausmaß einer Prostatakrebserkrankung. \\\\\\\"1H High Resolution Magic Angle Spinning Nuclear Magnetic Resonance Spectroscopy\\\\\\\" (1H HRMAS MRS) ist eine vielversprechende diagnostische Methode, welche es ermöglicht, metabolomische Profile von Prostatakrebs zu erstellen, ohne die Gewebsstruktur der analysierten Proben zu zerstören. Durch anschließende histopathologische Begutachtung lassen sich die erstellten Metabolitprofile validieren und evaluieren. Im Gegensatz zu konventionellen histopathologischen Methoden können durch immunhistochemische Verfahren dabei objektivere, akkuratere und quantifizierbare histopathologische Erkenntnisse gewonnen werden. Die vorliegende Studie präsentiert einen neuentwickelten diagnostischen Ansatz zur quantitativen Bestimmung von metabolomischen Markern von Prostatakrebs, basierend auf der Durchführung von 1H HRMAS NMR Spektroskopie und quantitativer Immunhistochemie. Material und Methoden Einundfünfzig Gewebsproben von Prostatakrebspatienten wurden mittels 1H HRMAS MRS an einem 14.1 T BRUKER NMR Spektrometer unter Einsatz einer CPMG-Pulssequenz untersucht. Spektrale Intensitäten in 36 Metabolitregionen wurden gemessen. Anschließend wurden die analysierten Gewebeproben mit drei Immunfärbemarkern für sowohl malignes (P504S, Alpha-methylacyl-CoA-racemase) als auch benignes (CK903, High-molecular weight cytokeratin, und p63) Prostatagewebe angefärbt und quantitativ mit Hilfe eines Bildanalyseprogramms (QIAP) ausgewertet. Die Anwendbarkeit und Auswertbarkeit der genannten Immunomarker nach Spektroskopie wurde evaluiert und mit der Färbungsqualität von nicht- gescannten Schnitten verglichen. Die Resultate der automatischen Auswertung durch QIAP konnten durch einen erfahrenen Pathologen in einer quantitativen Analyse der Immunfärbungen sowie konventioneller histologischer Färbungen derselben Gewebsproben validiert werden. Die spektralen Intensitäten aus den Messungen mit 1H HRMAS MRS wurden mit den korrespondierenden Ergebnissen der quantitativen Auswertung der Immunfärbungen korreliert, um metabolomische Marker von Prostatakrebs zu identifizieren. Der klinische Verlauf und die Rezidivrate der Patienten wurden 5 Jahre nach der initialen Prostatektomie retrospektiv bestimmt. Rezidivkategorien wurden erstellt und mit den bestimmten spektralen Intensitäten korreliert, um metabolomische Marker für das Auftreten von Prostatakrebsrezidiven zu identifizieren. Ergebnisse Die Immunfärbungen mit P504S und CK903 zeigten exzellente Qualität und Auswertbarkeit nach vorheriger 1H HRMAS MRS. Beide Marker eigneten sich zur Durchführung von quantitativer Immunhistochemie an spektroskopierten Gewebeproben. Im Gegensatz dazu war die Qualität der Immunfärbungen mit p63 nach Spektroskopie vermindert. Quantitative Immunfärbungen unter Einsatz der Immunmarker P504S und CK903 stellten eine praktikable diagnostische Methode dar, um zwischen malignen und benignem Prostatagewebe zu unterscheiden. Der Anteil von bösartig verändertem Prostatagewebe, bestimmt durch QIAP, korrelierte signifikant mit den Ergebnissen der quantitativen Analyse der Immunfärbungen durch den Pathologen (p < 0.001), sowie mit der quantitativen Auswertung der konventionellen histopathologischen Färbung (p = 0.001). Ebenso ließ sich die Bestimmung des Anteils von benignem Gewebe mit QIAP zu den Ergebnissen der pathologischen Analyse korrelieren (p < 0.001 und p = 0.0183). Für zwei metabolomische Regionen konnte ein signifikante Korrelation zwischen relativen spektralen Intensitäten, bestimmt mit 1H HRMAS NMR Spektroskopie, und dem Anteil von malignem Epithelium in derselben Gewebeprobe, ermittelt durch QIAP, festgestellt werden: 3.22 ppm (p = 0.015) und 2.68 ppm (p = 0.0144). Die zu diesen Regionen korrespondierenden Metaboliten, Phosphocholin und Zitrat, konnten als potentielle metabolomische Marker für Prostatakrebs identifiziert werden. Die retrospektiven Analyse der klinischen Daten der Patienten fünf Jahre nach Prostatektomie ergab eine Überlebensrate von 97.8%. Elf dieser Patienten (24.4%) erlitten ein Rezidiv ihrer Erkrankung. Die bestimmten Rezidivkategorien korrelierten signifikant mit zwei metabolomischen Regionen (2.33 – 2.3 ppm, p = 0.0403 und 1.28 ppm, p = 0.0144), welche zu den Metaboliten Phosphokreatin und Lipiden korrespondierten. Schlussfolgerung Die vorliegende Studie präsentiert einen diagnostischen Ansatz zur objektiven und quantitativen Bestimmung metabolomischer Marker von Prostatakrebs unter Verwendung von 1H HRMAS MRS und Immunhistochemie. P504S und CK903 eignen sich als Immunmarker für quantitative Immunfärbungen nach vorheriger Durchführung von 1H HRMAS MRS. Die Metaboliten Phosphocholin und Zitrat konnten in der vorliegenden Patientenkohorte als potentielle metabolomische Marker für Prostatakrebs identifiziert werden. Eine mögliche in vivo Anwendung der gefundenen metabolomischen Marker könnte als hochsensitives, objektives und nicht- invasives diagnostisches Werkzeug der Prostatakrebsdiagnostik dienen. Der vorliegende untersucherunabhängige, automatisierte und quantitative diagnostischer Ansatz hat das Potential, zwischen hochmalignen und weniger aggressiven Krebsfällen zu unterscheiden und somit unnötige Risiken und Komplikationen für Prostatakrebspatienten zu reduzieren. Weitere Untersuchungen sind notwendig, um die identifizierten metabolomischen Marker zu verifizieren und eine klinische Anwendung zu etablieren.

Oral cancer is the sixth most common cancer worldwide and has been marked by high morbidity and poor survival rates that have changed little over the past few decades. Beyond prevention, early detection is the most crucial determinant for successful treatment and survival of cancer. Yet current methodologies for cancer diagnosis based upon pathological examination alone are insufficient for detecting early tumor progression and molecular transformation. Development of new diagnostic tools incorporating tumor biomarkers could enhance early detection by providing molecular-level insight into the biochemical and cellular changes associated with oral carcinogenesis. The work presented in this doctoral dissertation aims to address this clinical need through the development of new automated cellular analysis methods, incorporating lab-on-a-chip sensor techniques, for examination of molecular and morphological biomarkers associated with oral carcinogenesis. Using the epidermal growth factor receptor (EGFR) as a proof-of-principle biomarker, the sensor system demonstrated capacity to support rapid biomarker analysis in less than one-tenth the time of traditional methods and effectively characterized EGFR biomarker over-expression in oral tumor-derived cell lines. Successful extension from in vitro tumor cell lines to clinically relevant exfoliative brush cytology was demonstrated, providing a non-invasive method for sampling abnormal oral epithelium. Incorporation of exfoliative cytology further helped to define the important assay and imaging parameters necessary for dual molecular and morphological analysis in adherent epithelium. Next, this new sensor assay and method was applied in a small pilot study in order to secure an initial understanding of the diagnostic utility of such biosensor systems in clinical settings. Four cellular features were identified as useful indicators of cancerous or pre-cancerous conditions including, the nuclear area and diameter, nuclear-to-cytoplasm ratio, and EGFR biomarker expression. Further examination using linear regression and ROC curve analysis identified the morphological features as the best predictors of disease while a combination of all features may be ideal for classification of OSCC and pre-malignancy with high sensitivity and specificity. Further testing in a larger sample size is necessary to validate this regression model and the LOC sensor technique, but shows strong promise as a new diagnostic tool for early detection of oral cancer. / text

No description available.

Background: N-terminal pro-brain natriuretic peptide (NT-proBNP) is secreted by cardiac ventricular myocytes upon pressure and volume overload and is a prognostic marker to monitor the severity of precapillary pulmonary hypertension and the extent of right heart failure. Objectives: The impact of physical exercise on NT-proBNP levels in patients with left heart disease was demonstrated previously. No data regarding patients with isolated right heart failure and the influence of acute exercise on NT-proBNP serum levels exist. Methods: Twenty patients with precapillary pulmonary hypertension were examined. Hemodynamic parameters were measured during right heart catheterization. Serum NT-proBNP of patients was measured at rest, after a 6-min walking test, during ergospirometry and during recovery, all within 7 h. Significant differences in sequential NT-proBNP values, relative changes compared to values at rest and the correlation between NT-proBNP and obtained parameters were assessed. Results: At rest, the mean serum level of NT-proBNP was 1,278 ± 998 pg/ml. The mean level of NT-proBNP at maximal exercise was increased (1,592 ± 1,219 pg/ml), whereas serum levels decreased slightly during recovery (1,518 ± 1,170 pg/ml). The relative increase of serum NT-proBNP during exercise correlated with pulmonary vascular resistance (r = 0.45; p = 0.026) and cardiac output (r = –0.5; p = 0.015). Conclusions: In this study, we demonstrated acute changes in NT-proBNP levels due to physical exercise in a small group of patients with precapillary pulmonary hypertension. Our results also confirm the predominant usefulness of NT-proBNP as an intraindividual parameter of right heart load. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

Proteomics as a modern comprehensive approach to the analysis of proteomes was applied in three projects aimed at diagnosis and therapy of cancer. The aim of the first the project was to find a new diagnostic biomarker for ovarian cancer. Two different comparative proteomic approaches were used for comparative analysis of sera from patients diagnosed with ovarian cancer and from healthy age-matched women. We identified -1-antitrypsin with increased concentration in patien sera, and apolipoprotein A4 and retinol-binding protein 4 (RBP4) with significantly decreased concentration in patients. The significantly decerased concentration of RBP4 in patients is a new observation. We propose that RBP4 is either decreased in ovarian cancer patients as a result of its reduced production by ovary or it may reflect less specific systemic changes, for instance early onset of cancer cachexia. The second project was focused on gaining insight into the molecular mechanism of cytarabine resistance in mantle cell lymphoma (MCL). Proteomic and transcriptomic analyses of cytarabine-resistant cells revealed marked downregulation of deoxycytidine kinase (DCK) - a protein essential to intracellular activation of purine and pyrimidine nucleosides and their analogues including cytarabine. The cytarabine-resistant MCL...

The thesis is focused on the development of the electrochemical system with microfluidic platform for the detection of multiple biomarkers. It analyses the use of biomarkers for the early diagnosis of cancer. The theoretical part contains basic information about voltammetric methods and microfluidic systems. The practical part provides solutions to the microfluidic chips, including the description of the used materials, designs, methodologies of preparation and conclusions from the testing of the manufactured microfluidic systems. The thesis describes the lock-in electrochemical system which measures the response of 4 electrochemical cells simultaneously. For the electrochemical system measurements, an electrochemical chip consisting of 64 electrochemical cells was used. The results of the analysis include the processing of the system tests and detected voltammetric curves of the Fe2+/Fe3+ solution and cysteine.

Although human biomedical and physiological information is readily available, such information for great apes is limited. We analyzed clinical chemical biomarkers in serum samples from 277 wild- and captive-born great apes and from 312 healthy human volunteers as well as from 20 rhesus macaques. For each individual, we determined a maximum of 33 markers of heart, liver, kidney, thyroid and pancreas function, hemoglobin and lipid metabolism and one marker of inflammation. We identified biomarkers that show differences between humans and the great apes in their average level or activity. Using the rhesus macaques as an outgroup, we identified human-specific differences in the levels of bilirubin, cholinesterase and lactate dehydrogenase, and bonobo-specific differences in the level of apolipoprotein A-I. For the remaining twenty-nine biomarkers there was no evidence for lineage-specific differences. In fact, we find that many biomarkers show differences between individuals of the same species in different environments. Of the four lineagespecific biomarkers, only bilirubin showed no differences between wild- and captive-born great apes. We show that the major factor explaining the human-specific difference in bilirubin levels may be genetic. There are human-specific changes in the sequence of the promoter and the protein-coding sequence of uridine diphosphoglucuronosyltransferase 1 (UGT1A1), the enzyme that transforms bilirubin and toxic plant compounds into water-soluble, excretable metabolites. Experimental evidence that UGT1A1 is down-regulated in the human liver suggests that changes in the promoter may be responsible for the human-specific increase in bilirubin. We speculate that since cooking reduces toxic plant compounds, consumption of cooked foods, which is specific to humans, may have resulted in relaxed constraint on UGT1A1 which has in turn led to higher serum levels of bilirubin in humans.

Radiotherapy remains one of the most important treatment modalities for cancer therapy. Malignant tumors show an extended spectrum of intrinsic radiation sensitivity even among tumors of the same entity or with similar histological features. Predicting intrinsic radiation sensitivity might improve treatment outcome and allow individualized treatment. Hence, an assay that provides a predictive information of the tumor’s intrinsic radiation sensitivity is of great need. Histone H2AX, a histone variant of histone H2A family, is rapidly phosphorylated upon DNA double strand break (DSB) induction resulting in gamma H2AX (γH2AX). Gamma H2AX accumulates at DNA DSB sites and subsequently recruits DNA damage repair factors. Formation of γH2AX is visualized by an immunohistology-based approach and detected as foci under an epifluorescent microscope. Gamma H2AX foci represent DNA DSBs, while residual γH2AX foci (foci detected 24 h post irradiation) are considered as unrepaired damages. In previous studies, the γH2AX foci assay showed a high potential as a predictive method for radiosensitivity. This thesis aims to further translate and optimize the ex vivo γH2AX foci assay for a clinical applicability. In this study, all experiments were performed using human head and neck squamous cell carcinoma (hHNSCC) xenograft models. For ex vivo investigations, tumors on the hind legs of nude mice were excised and cut into multiple pieces, or fine-needle biopsies of the tumors were taken. Tumor biopsies were reoxygenated in culture medium for 10 h or 24 h followed by radiation exposure of 0 8 Gy. Tumor biopsies were fixed and embedded in paraffin 24 h post irradiation. For the γH2AX foci assay under in vivo conditions, tumors-bearing mice were irradiated with single doses of 0 8 Gy. Tumors were excised, fixed, and paraffin embedded 24 h post irradiation. Manual quantification of γH2AX foci was performed exclusively in perfused areas, which were identified by pimonidazole (hypoxic marker) and BrdU (proliferation marker) staining. Foci number was corrected, normalized, and statistically analyzed by a linear mixed effects model (LMEM), linear regression model or analysis of covariance. To investigate tumor heterogeneity in the ex vivo γH2AX foci assay, γH2AX foci were enumerated in four equally treated tumor specimens per group i.e. unirradiated and ex vivo irradiated with 4 Gy. Strong intratumoral heterogeneity in γH2AX foci was determined with a minor intertumoral heterogeneity. No significant effect of reoxygenation between 10 h or 24 h was observed, enhancing clinical practicability of the assay. The effect of experimental settings was studied by analyzing data from this study (ex vivo) and from comparable published data (in vivo) with LMEM. Radiation induced nuclear area alteration was detected in some of the evaluated tumor models in under both experimental conditions. A greater intra and intertumoral heterogeneity were observed in the ex vivo set up compared to the in vivo set up. Radiation response determined by the γH2AX foci assay in ex vivo irradiated biopsies and in the corresponding in vivo irradiated tumors was evaluated. Between in vivo and ex vivo, four out of five tumor models showed comparable slopes of dose response curves (SDRC) of normalized and corrected γH2AX foci. SDRC of normalized γH2AX foci was able to classify tumors according to their intrinsic radiation sensitivity (TCD50). In conclusion, the ex vivo γH2AX foci assay holds a promising potential for predicting radiation sensitivity in solid tumors. The comparable radiation response assessed by γH2AX foci of in vivo irradiated tumors and the matching ex vivo irradiated tumor biopsies supports clinical applicability of the assay. Using SDRC of γH2AX foci as a predictor of radiosensitivity, radioresistant and radiosensitive tumors could be classified. The significant intratumoral heterogeneity in the ex vivo γH2AX foci assay suggests a limited representativeness of a single biopsy for radiosensitivity prediction. Additionally, the change of tumor microenvironment modulated cellular adaptation and DNA damage repair capability. The outcomes suggested that a sufficient number of cells, regions of interest, and biopsies are required to obtain a solid prediction.:Contents List of Abbreviations List of Figures List of Tables 1. Introduction 1.1 Effect of ionizing radiation on cellular level 1.1.1 Radiation induces cell death 1.1.2 Cell-cycle arrest mediated by radiation 1.2 DNA damage repair 1.2.1 Non homologous end joining (NHEJ) 1.2.2 Homologous recombination (HR) 1.2.3 Base damage repair and single strand break repair 1.2.4 Role of γH2AX in DNA damage repair 1.3 Prediction of tumor radioresponsiveness 1.3.1 Prediction of tumor radiation sensitivity by γH2AX 2 Tumor heterogeneity determined with a γH2AX foci assay: A study in human head and neck squamous cell carcinoma (hHNSCC) 2.1 Summary of the publication 3 Heterogeneity of γH2AX foci increases in ex vivo biopsies relative to in vivo tumors. 3.1 Summary of the publication 4 Comparable radiation response of ex vivo and in vivo irradiated tumor samples determined by residual γH2AX foci 4.1 Summary of the manuscript 5 Discussion 5.1 Tumor heterogeneity in γH2AX foci assay 5.2 Alteration of nuclear area post irradiation 5.3 Clinical relevance of the γH2AX foci assay 5.4 Technical challenges and limitations of the assay 5.5 Conclusion and Outlook 6 Abstract 7 Zusammenfassung 8 Bibliography Acknowledgement Appendices Part A: Materials A.1 Tumor lines A.2 Chemicals and Materials A.3 Devices and Software Part B: Supplementary materials B.1 Supplementary materials of publication I B.2 Supplementary materials of publication II B.3 Supplementary materials of manuscript

Proteomics as a modern comprehensive approach to the analysis of proteomes was applied in three projects aimed at diagnosis and therapy of cancer. The aim of the first the project was to find a new diagnostic biomarker for ovarian cancer. Two different comparative proteomic approaches were used for comparative analysis of sera from patients diagnosed with ovarian cancer and from healthy age-matched women. We identified -1-antitrypsin with increased concentration in patien sera, and apolipoprotein A4 and retinol-binding protein 4 (RBP4) with significantly decreased concentration in patients. The significantly decerased concentration of RBP4 in patients is a new observation. We propose that RBP4 is either decreased in ovarian cancer patients as a result of its reduced production by ovary or it may reflect less specific systemic changes, for instance early onset of cancer cachexia. The second project was focused on gaining insight into the molecular mechanism of cytarabine resistance in mantle cell lymphoma (MCL). Proteomic and transcriptomic analyses of cytarabine-resistant cells revealed marked downregulation of deoxycytidine kinase (DCK) - a protein essential to intracellular activation of purine and pyrimidine nucleosides and their analogues including cytarabine. The cytarabine-resistant MCL...

Das metastasierende kolorektale Karzinom stellt eine große Herausforderung in der Krebstherapie dar. Verlässliche und effiziente Biomarker zur Prognose des Krankheitsverlaufes oder der Therapieantwort (Prädiktion) sind rar. Metastasis-associated in colon cancer 1 (MACC1) ist ein prognostischer, prädiktiver und kausaler Biomarker für verschiedene Tumorentitäten. Durch die Induzierung von Zielgenen, wie z.B. MET, beeinflusst es Signalwege wie MEK/ERK und AKT/β-catenin und fördert so Zellproliferation und -motilität sowie Tumorprogression und Metastasierung in vivo. Diese Arbeit sollte neue Strategien erforschen diese Prozesse durch die Inhibition von MACC1 auf Transkriptions- und Signaltransduktionsebene zu unterbinden. Mit zwei verschiedenen Screeningmethoden konnten wir Statine als potente transkriptionelle Inhibitoren von MACC1 als auch phosphotyrosin (pY)-abhängige Interaktionen von MACC1 mit essentiellen Signalmolekülen identifizieren: SHP2, GRB2, SHC1, PLCG1 und STAT5B. Statine verringerten MACC1-spezifische Proliferation und Koloniebildung in vitro als auch Tumor Wachstum und Metastasierung in vivo bei Dosen äquivalent der humanen Standardtherapie zur Blutlipidsenkung. Mutation der pY-Bindungsstellen reduzierte die Aktivität des MACC1-induzierten ERK Signalwegs sowie Zellmigration und -proliferation. Anhand unserer Daten orchestriert MACC1, abhängig von MET und EGFR, neue SHP2/SRC/ERK und PKA/SRC/CREB Signalkaskaden zu einem malignen Phänotyp. Gezielte Intervention restringierte die MACC1-abhängige Koloniebildung, was neue therapeutische Interventionspunkte identifiziert und eine hervorragende Basis für Untersuchungen zur Kombinationstherapie darstellt. Die weitere Erforschung der spatiotemporalen Organisation des MACC1 Signalosoms und assoziierter Signalkaskaden soll das volle therapeutische Potential von MACC1 ausschöpfen. Wir empfehlen zudem Statine in der Krebstherapie bzw. -prävention, besonders bei MACC1-stratifzierten Patienten, anzuwenden. / Metastatic colorectal cancer still represents a major challenge in therapy. Reliable and efficient biomarkers for early prognosis of disease course or treatment response (prediction) remain scarce. Metastasis-associated in colon cancer 1 (MACC1) has been established as prognostic, predictive and causal biomarker for several tumor entities. Its induction of target genes such as MET affects several signaling pathways including MEK/ERK and AKT/β-catenin. Thus, it promotes cellular proliferation and motility as well as tumor progression and metastasis formation in vivo. This study intended to explore new strategies to inhibit these processes by targeting MACC1 on transcriptional and signaling level. By two distinct screening methods, we identified statins as potent MACC1 transcriptional inhibitors as well as phosphotyrosine (pY)-dependent interactions of MACC1 with crucial signaling molecules: SHP2, GRB2, SHC1, PLCG1 and STAT5B. Statins showed MACC1-specific reduction of proliferation and colony formation in vitro as well as restriction of tumor growth and metastasis formation in vivo at doses equivalent to human standard lipid reduction therapy. Mutation of the pY-interaction sites abrogated MACC1-dependent ERK signaling as well as cell migration and proliferation. Our data further suggest that MACC1 governs SHP2/SRC/ERK and PKA/SRC/CREB axes conferring a malignant phenotype in response to MET and EGFR. Targeted intervention restricted MACC1-dependent colony formation which indicates new drug intervention points for MACC1 signaling and provides an excellent baseline for further investigations of combinatorial treatments. Additional research about the spatiotemporal organization of MACC1 signalosome formation and downstream signaling will reveal the entire potential of MACC1 as therapeutic target, whereas statins should already be considered for cancer therapy or prevention, especially in patients stratified for MACC1 expression.