5 Abstract Five substances from the group of so-called personal care products, known for their low degradability and regular environmental detection, were tested for toxicity using two fish tissue lines (RTgill-W1 a RTG-2) isolated from rainbow trout (Oncorhynchus miykiss). The tested substances were hexadecylpyridinium chloride (HDP), chlorhexidine (CHX), octenidine (OCT), thymol (THM) and triclosan (TCS). A cell viability assay was performed with each of these compounds using Alamar Blue ™ (AB), 5-carboxyfluorescein diacetate acetoxymethyl ester (CFDA-AM) and neutral red (NR) protocols. The results were used to construct dose-response curves along with an EC50 value for each of these substances. The EC50 values ranged from 0,51 (HDP) to 33,75 µg.ml-1 (THM) for RTgill-W1 and from 0,31 (HDP) to 33,37 µg.ml-1 (THM) for RTG-2. The theoretical LC50 estimation was calculated according to Tanneberger et al. (2013). For all substances, cytochrome P450 1A activity was monitored using 7-ethoxyresorufin-o-deethylase (EROD), four out of five tested chemicals were statistically positive for EROD, the highest EROD response was observed for the most toxic compound - HDP. Only TCS did not show statistically significant cytochrome P450 1A activity. In addition, oxidative stress was measured with the fluorescent dye...

Pyrrolo [2,1-c] [1,4] benzodiazepine (PBD) is a class of natural products obtained from various actinomycetes which have both anti-tumor and antibiotic activities and can bind to specific sequences of DNA. PBD-dilactam was initially produced using isatoic anhydride and (L)-proline which was then converted to the PBD-thiolactam using Lawesson's reagent. Reaction of thiolactam with hydrazine in ethanol afforded PBD-11-hydrazinyl. Condensation of 11-hydrazinyl PBD with aldehydes possessing various substitutions was performed to obtain (S,E)-11-[2-(arylmethylene) hydrazono] pyrrolo [2,1-c] [1,4] benzodiazepine derivatives. 1HNMR, 13C-NMR, DEPT, IR, GC-MS and X-ray crystallography were used for the characterization. Inhibition activity of the products were carried out using TEM-1, AmpC and P99 β-lactamases. A minimal inhibition growth of 25% was observed for one of the selected PBDs on cancer cell line. A promising result was observed on preliminary cannabinoid binding activity test on one of the compounds.

Introduction: Breast cancer is the second highest cause of cancer mortality in women worldwide. Hormonal therapy is considered one of the most effective therapies and is used against luminal-type malignancies. However, 40-50% of tumour cells can develop resistance, thereby limiting the success in breast cancer treatment. In this study, mechanisms of resistance were investigated using a novel multi-stable isotope labelled amino acids (SILAC) proteomics approach in phenotype-specific breast cancer cell lines resistant to endocrine treatment. Method: In vitro chemo-sensitivity (IC50) was determined for MCF7, T47D, MDA-MB-231, MDA-MB-468, MDA-MB-453, BT-20 and MCF-10A breast cell lines using four endocrine-based therapeutic agents (Tamoxifen, 4-Hydroxytamoxifen OHT, Raloxifene, Anastrozole) to select viable strains for resistance studies. MCF7 (luminal-type A) and MDA-MB-231 (triple negative breast cancer, TNBC) were selected and initially subject to OHT or raloxifene exposure with gradual increments for 10 months. WT cells were grown in the absence of drug in parallel as passage controls. Resistant cell lines were assessed by MTT and IF for comparison with parental cell lines. Resistant cell lines, along with the passage control and a SILAC control, were grown in “light” SILAC medium together with WT strains cultured in “heavy” SILAC medium. Proteins were extracted, concentrations determined and analysed by SDS PAGE for quality control. An aliquot of each “light” cell line (resistant, passage control or SILAC control) was combined with an equal amount of “heavy” WT, trypsin digested and analysed by nano-HPLC Orbitrap Fusion mass spectrometry (2D-LC MS/MS). Proteins were identified by database searching using MascotTM. Relative changes (resistant/WT ratio) in protein levels were determined and bioinformatics tools (STRING and UniProt) used to explore significantly changed pathways associated with resistance. Western blotting was used to verify selected target proteins. Results: Four consistently resistant sublines were generated MCF7 OHT Res (2.00-fold more resistant), MCF7 Ralx Res (2.00-fold), MDA-MB-231 OHT Res (1.90-fold change) and MDA-MB-231 Ralx Res (2.00-fold), in addition to two high passage controls. ER expression by IF was decreased in MCF7 OHT Res compared to the WT and MCF7 Ralx Res, whereas CD44 was increased. Proteomic analysis revealed 2247 and 2880 total proteins in MCF7 OHT Res and MCF7 Ralx Res whilst 3471 and 3495 total proteins were identified in MDA-MB-231 OHT Res and MDA-MB-231 Ralx Res, respectively. Bioinformatics tools identified significantly changed pathways included apoptosis, cytoskeleton, cell motility and redox cell homeostasis. Components of the MAPK-signalling cascade were consistently found to be upregulated in resistant cell lines. MAPK1 (ERK2), previously associated with tamoxifen resistance was increased in MDA-MB-231 Ralx Res cell lines by 4.45-fold and confirmed by Western blotting. Sorcin, which contributes to calcium homeostasis and is also linked to multidrug resistance was increased 4.11- and 2.35-fold in MCF7 OHT Res and Ralx Res sub cell lines, respectively. Some results, such as those for c-Jun, were inconsistent between proteomic analysis and Western blotting and require further investigation. Conclusion: The unique resistant cell lines generated here, as well the MCF7 OHT resistant line, provided novel data that give insights into the biological pathways involved in mechanisms of endocrine drug resistance in breast cancer. Proteomics analysis provided extensive data on common functionality and pathways across the resistant cell lines independent of phenotype or SERM. Overall, the results provided interesting targets for re-sensitising resistant breast cancer and the potential to investigate novel combination therapies in the future. / Al-Ahliyya Amman University scholaships

Despite significant advances in cancer treatment, clinical response remains suboptimal and there is a continued requirement for improved chemotherapeutics. The attrition rate for new therapies is high, due principally to lack of in vivo efficacy and poor pharmacodynamics. Consequently better systems are required to determine in vivo preclinical efficiency and drug-target interactions. Engineering of cancer cells to express fluorescent or bioluminescent proteins, either endogenously or under the control of specific gene promoters, and their detection by noninvasive optical imaging has the potential to improve preclinical drug development. In this study, a panel of colorectal cancer cell lines were engineered to express fluorescent and luminescent proteins either constitutively or under control of gene-promoters for the DNA damage response gene p53 or the cell cycle regulator p21, both important pharmacodynamic sensors. These cell lines were characterised for their potential as in vivo models of primary and metastatic tumour therapy response, several showing significant potential. In addition to the development of these models, this study also addressed the pharmacokinetics of different luciferase substrates and identified optimal temporal and dose characteristics for each. Furthermore, a new application for bioluminescent imaging was developed and validated for use in preclinical evaluation of vascular disrupting agents, a new generation of cancer therapeutic. This study demonstrates that despite the dynamic and variable nature of fluorescent and bioluminescent imaging, reproducible results can be obtained if appropriate precautions are taken. The models developed herein will expedite cancer drug development whilst reducing and refining the use of animals in research.

No description available.

Although human liver tumor cells have reduced metabolic functions as compared to primary human hepatocytes (PHH) they are widely used for pre-screening tests of drug metabolism and toxicity. The aim of the present study was to modify liver cancer cell lines in order to improve their drug-metabolizing activities towards PHH. It is well-known that epigenetics is strongly modified in tumor cells and that epigenetic regulators influence the expression and function of Cytochrome P450 (CYP) enzymes through altering crucial transcription factors responsible for drug-metabolizing enzymes. Therefore, we screened the epigenetic status of four different liver cancer cell lines (Huh7, HLE, HepG2 and AKN-1) which were reported to have metabolizing drug activities. Our results showed that HepG2 cells demonstrated the highest similarity compared to PHH. Thus, we modified the epigenetic status of HepG2 cells towards ‘normal’ liver cells by 5-Azacytidine (5-AZA) and Vitamin C exposure. Then, mRNA expression of Epithelial-mesenchymal transition (EMT) marker SNAIL and CYP enzymes were measured by PCR and determinate specific drug metabolites, associated with CYP enzymes by LC/MS. Our results demonstrated an epigenetic shift in HepG2 cells towards PHH after exposure to 5-AZA and Vitamin C which resulted in a higher expression and activity of specific drug metabolizing CYP enzymes. Finally, we observed that 5-AZA and Vitamin C led to an increased expression of Hepatocyte nuclear factor 4α (HNF4α) and E-Cadherin and a significant down regulation of Snail1 (SNAIL), the key transcriptional repressor of E-Cadherin. Our study shows, that certain phase I genes and their enzyme activities are increased by epigenetic modification in HepG2 cells with a concomitant reduction of EMT marker gene SNAIL. The enhancing of liver specific functions in hepatoma cells using epigenetic modifiers opens new opportunities for the usage of cell lines as a potential liver in vitro model for drug testing and development.

Microsatellites (MSTs) are short tandem repeats of motifs, 1 — 6 nucleotide in length, and are considered mutational 'hot-spots' and show a greater degree of somatic variability and population polymorphisms than surrounding DNA sequences. MSTs provide for a unique computational alignment problem for many commonly used algorithms, and therefore required software tools to be developed to specifically address these issues. For this work we developed a novel approach to extract MSTs from next-gen sequencing data that can robustly detect signatures of MST mutation bias and somatic variation occurring in next-gen data including a high frequency of in-phase indels. Somatic variability, novel genomic polymorphisms that arise within a cell population not found in the progenitors, plays a critical role in cellular reprogramming leading to the development and progression of cancer. MST mutation rates are between 10 and 1000 time higher than that of surrounding DNA. MSTs are found ubiquitously throughout the genome including in nearly all transcribed regions and 10-20% of coding genomic regions. Currently the only established DNA repair defect that that has been directly linked to MST instability is replication coupled mismatch repair (MMR). An initial analysis of the utility of the software was conducted with DNA repair impaired cell lines. The results demonstrated the utility in identifying the consequences of DNA repair impairments on genomic stability. There were major objectives of the finding including 1) complimenting genomics of matched DNA samples with in-sample quantification of variation and 2) demonstrating that DNA repair proficient cells and those with different defects in DNA repair can have different somatic MST variability (SMV) profiles that may be potential markers for these defects. DNA repair disorders are debilitating conditions that result in physical and neurological abnormalities robbing the individual of a normal quality of life and life span. The various conditions that fall into this class are known as progeroid disorders and they provide a very important glimpse into the aging process on a genomic level. The conditions for four cohorts analyzed here were; Cockayne's syndrome, caused by the loss of the ERCC8 gene, also known as CSA; xeroderma pigmentosum, caused by the loss of the XPA or XPB genes; Werner syndrome, caused by the loss of the RecQL2 gene; and Rothmond-Thomson syndrome, caused by the loss of the RecQL4 gene. The goal of this project was to determine if impaired excision repair genes CSA or global XPA and B or excision repair supporting helicases BLM or RecQL4 leads to MST destabilization. Comparing cohorts from excision repair disorders with a co-sequenced normal cohort we found that CSA both RecQ helicases had an effect on the exome somatic variability of MSTs. On the other hand the effects of XPA/B were inconclusive. MST instability (MSI), defined as acquired/lost primary alleles in tumors for a small set of microsatellite loci, has been implicated and is a clinically relevant marker for colorectal cancer. Conversely, no clinically actionable genetic markers have been found for liver cancer, a cancer with a very high mortality rate. Here we explore the use SMV defined as the presence of minor alleles at MST loci, as a complementary measure of MSI as a genetic marker for colorectal and liver cancer by analyzing Illumina sequenced genomes from The Cancer Genome Atlas. Our data shows that SMV may distinguish a subpopulation of African American patients with colorectal cancer, ~33% of the population in this study. Further, for liver cancer, a higher rate of SMV may be indicative of earlier age of onset. In conclusion, the work presented here suggests that MSI should be expanded to include SMV, not only instability. / Ph. D.

No description available.

Cytochrome P450 enzymes (P450s) are involved in cancer development and treatment due to their roles in the oxidative metabolism of various endogenous (e.g. oestrogen) and exogenous (e.g. tamoxifen) compounds. It is well-known that intermediate P450 metabolites derived from oestrogen metabolism are associated with breast carcinogenesis. The main aim of this project was to profile the cytochrome P450 and P450-regulatory nuclear receptor mRNAs in a series of breast cancer cell lines (BCCs) and compare this profile with normal breast cells. This study used the qualitative reverse transcriptasepolymerase chain reaction (RT-PCR) to detect mRNA expression of target genes. Results showed CYP1B1, CYP2D6, CYP2J2, CYP2R1, CYP2U1 and CYP4X1 mRNA to be present in all cell lines. CYP2A6, CYP2C8, CYP2C18, CYP2F1 and CYP4Z1 mRNA were expressed in oestrogen receptor (ER)-positiveCaucasian and ER-negative Afro- Caribbean BCCs. Although no differences in P450 mRNA were observed between the different ethnic groups, these preliminary findings suggest potential similarities in the ERpositive Caucasian and ER-negative Afro-Caribbean BCCs which warrant further investigation The CYP4Z1 PCR product was identified as two distinct bands. Specific primer sets were used to demonstrate potential intron retention in CYP4Z1. Using established in vitro models for the study of regulatory mechanisms of CYP4Z1, T47D and ZR-75-1 breast cancer cell lines were used to determine the appropriate nuclear receptors (i.e. progesterone receptor, glucocorticoid receptor or peroxisome proliferator-activated receptor alpha ). These findings suggest that there may be an alternative receptor mechanism involved in CYP4Z1 mRNA induction in these cells. In conjunction, pre-treatment of these two cell lines with the RNA synthesis inhibitor actinomycin D followed by the agonists showed a significant reduction (p < 0.05) of CYP4Z1 mRNA levels and inhibited CYP4Z1 induction by either progesterone, dexamethasone or pirinixic acid, indicating that these agonists have effects on CYP4Z1 mRNA transcription or stability. In contrast, cycloheximide differentially affected the level of CYP4Z1 mRNA induction by these agonists. Taken together, these results suggest that CYP4Z1 mRNA induction in T47D and ZR-75-1 is mediated through differential cell type specific regulatory mechanisms and there is evidence for differential regulation of the splice variants.

Le cancer épithélial de l’ovaire (EOC) est le plus mortel des cancers gynécologiques. Cette maladie complexe progresse rapidement de façon difficilement décelable aux stades précoces. De plus, malgré une chirurgie cytoréductive et des traitements de chimiothérapie le taux de survie des patientes diagnostiquées aux stades avancées demeurt faible. Dans le but d’étudier l’EOC dans un contexte ex vivo, l’utilisation de modèles cellulaires est indispensable. Les lignées cellulaires d’EOC sont un outil pratique pour la recherche cependant, la façon dont l'expression des gènes est affectée en culture par comparaison à la tumeur d'origine n'est pas encore bien élucidée. Notre objectif était donc de développer et de caractériser de nouveaux modèles de culture in vitro qui réflèteront plus fidèlement la maladie in vivo. Nous avons tout d’abord utiliser des lignées cellulaires disponibles au laboratoire afin de mettre au point un modèle 3D de culture in vitro d’EOC. Des sphéroïdes ont été générés à l’aide de la méthode des gouttelettes inversées, une méthode pionnière pour la culture des cellules tumorales. Nous avons ensuite procédé à une analyse des profils d’expression afin de comparer le modèle sphéroïde au modèle de culture en monocouche et le modèle xénogreffe in vivo. Ainsi, nous avons identifié des gènes stratifiant les modèles tridimensionnels, tant in vivo qu’in vitro, du modèle 2D monocouche. Parmi les meilleurs candidats, nous avons sélectionné S100A6 pour une caractérisation ultérieure. L’expression de ce gène fût modulée afin d’étudier l’impact de son inhibition sur les paramètres de croissance des sphéroïdes. L’inhibition de ce gène a comme effet de réduire la motilité cellulaire mais seulement au niveau du modèle sphéroïde. Finalement, toujours dans l’optique de développer des modèles d’EOC les plus représentatifs de la maladie in vivo, nous avons réussi à développer des lignées cellulaires uniques dérivées de patientes atteintes d’EOC du type séreux, soit le plus commun des EOC. Jusque là, très peu de lignées cellulaires provenant de ce type de cancer et de patientes n’ayant pas reçu de chimiothérapie ont été produites. De plus, nous avons pour la première fois caractérise des lignées d’EOC de type séreux provenant à la fois de l’ascite et de la tumeur solide de la même patiente. / The epithelial ovarian cancer (EOC) is the most lethal of gynecological cancers. This complexe and heterogenous disease progresses rapidly and is almost asymptomatic in early stages. The survival rate of patients with late stage diagnosis remains low albeit cytoreductive surgery and chemotherapy. In order to study the EOC disease in an ex vivo context, the use of different cellular models is necessary. EOC cell lines derived from long-term passages of malignant ovarian cancers are useful tools for molecular and cellular research but it is not clear how culture conditions affect overall gene expression and oncogenic potential as compared to the original tumor. The main goal of this research was to develo and characterize new in vitro model systems that will recapitulate more closely some of the growth conditions encountered by tumor cells in vivo. In order to develop an in vitro tridimensional EOC spheroid model, we have used cell lines previously established in our laboratory. Spheroids were generated using the hanging droplet method, which was innovative for the culture of cancer cells. Comparative gene expression profile analysis of monolayer cultures, 3D spheroids and in vivo xenografts were performed and we have shown that the spheroid transcriptome more closely reflects expression patterns of the in vivo model compared to that of monolayer cultures. Among the best candidates, S100A6 gene over-expressed in the 3D models versus monolayer cultures was chosen for further analysis. To begin to address how S100A6 might affect EOC growth parameters, we have inhibited its expression in our in vitro models. The loss of S100A6 in the spheroid model results in an reduction of cellular migration, which seems to be in line with previous in vivo results published by other researchers. Always with the objective of developing the most relevant to the in vivo disease model systems, we have also succeeded in developing a unique EOC cell lines derived from patients with the most frequently diagnosed serous type of cancer. Very few cell lines derived from this type of cancers and from chemotherapy naïve patients are available. Moreover, we characterize for the first time EOC serous type cell lines derived from the ascites and the solid tumor of the same patient.