Defining new criteria for selection of cell-based intestinal models using publicly available databases
Autor: | Hanifa Bouzourene, Pascale Anderle, Mauro Delorenzi, Sanna Siissalo, Susanne Bentz, Jon Christensen, Armando Felsani, Manuela Natoli, Thierry Sengstag, Michel Aguet, Piercarlo Saletti, Martín Rumbo, Maya R Vila, Jouni Hirvonen, Sara El-Gebali |
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Přispěvatelé: | Faculty of Pharmacy, Division of Pharmaceutical Technology (-2019), Division of Pharmaceutical Chemistry and Technology |
Jazyk: | angličtina |
Předmět: |
Antineoplastic Agents/pharmacology
Caco-2 Cells Cell Differentiation/drug effects Cell Line Tumor Colonic Neoplasms/genetics Colonic Neoplasms/metabolism Databases Genetic Drug Resistance Neoplasm Epithelial-Mesenchymal Transition/drug effects Gene Expression Regulation Neoplastic HT29 Cells Humans Intestinal Mucosa/cytology Intestinal Mucosa/metabolism Models Biological Principal Component Analysis Cellular differentiation Cell Malignant traits CARCINOMA-CELLS COLON CANCER MESENCHYMAL TRANSITIONS computer.software_genre COLORECTAL-CANCER purl.org/becyt/ford/1 [https] 0302 clinical medicine Intestinal mucosa CHEMOSENSITIVITY INTESTINE genetics Intestinal Mucosa GENE-EXPRESSION Regulation of gene expression 0303 health sciences Database Cell Differentiation EPITHELIAL-CELLS MALIGNANT TRAITS Bioquímica y Biología Molecular Epithelial-mesenchymal transition Phenotype EPITHELIAL-MESENCHYMAL TRANSITION Intestine Colon cancer CELL LINES medicine.anatomical_structure 317 Pharmacy 030220 oncology & carcinogenesis Colonic Neoplasms Cell lines ANTICANCER AGENTS DNA microarray Stem cell STEM-CELLS CIENCIAS NATURALES Y EXACTAS Research Article Biotechnology COLON-CANCER CELLS lcsh:QH426-470 phenotype lcsh:Biotechnology education GENOMIC PROFILING Antineoplastic Agents Biology Ciencias Biológicas 03 medical and health sciences lcsh:TP248.13-248.65 medicine Genetics BREAST-CANCER purl.org/becyt/ford/1.6 [https] protein expression Chemosensitivity Ciencias Exactas 030304 developmental biology Genomic profiling intestine epithelium cell lcsh:Genetics cytology CACO-2 CELLS computer metabolism |
Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET BMC Genomics, vol. 13, pp. 274 BMC Genomics SEDICI (UNLP) Universidad Nacional de La Plata instacron:UNLP BMC Genomics, Vol 13, Iss 1, p 274 (2012) Christensen, Jon; El-Gebali, Sara; Natoli, Manuela; Sengstag, Thierry; Delorenzi, Mauro; Bentz, Susanne; Bouzourene, Hanifa; Rumbo, Martin; Felsani, Armando; Siissalo, Sanna; Hirvonen, Jouni; Vila, Maya R; Saletti, Piercarlo; Aguet, Michel; Anderle, Pascale (2012). Defining new criteria for selection of cell-based intestinal models using publicly available databases. BMC Genomics, 13, p. 274. London: BioMed Central 10.1186/1471-2164-13-274 |
ISSN: | 1471-2164 |
DOI: | 10.1186/1471-2164-13-274 |
Popis: | Background: The criteria for choosing relevant cell lines among a vast panel of available intestinal-derived lines exhibiting a wide range of functional properties are still ill-defined. The objective of this study was, therefore, to establish objective criteria for choosing relevant cell lines to assess their appropriateness as tumor models as well as for drug absorption studies.Results: We made use of publicly available expression signatures and cell based functional assays to delineate differences between various intestinal colon carcinoma cell lines and normal intestinal epithelium. We have compared a panel of intestinal cell lines with patient-derived normal and tumor epithelium and classified them according to traits relating to oncogenic pathway activity, epithelial-mesenchymal transition (EMT) and stemness, migratory properties, proliferative activity, transporter expression profiles and chemosensitivity. For example, SW480 represent an EMT-high, migratory phenotype and scored highest in terms of signatures associated to worse overall survival and higher risk of recurrence based on patient derived databases. On the other hand, differentiated HT29 and T84 cells showed gene expression patterns closest to tumor bulk derived cells. Regarding drug absorption, we confirmed that differentiated Caco-2 cells are the model of choice for active uptake studies in the small intestine. Regarding chemosensitivity we were unable to confirm a recently proposed association of chemo-resistance with EMT traits. However, a novel signature was identified through mining of NCI60 GI50 values that allowed to rank the panel of intestinal cell lines according to their drug responsiveness to commonly used chemotherapeutics.Conclusions: This study presents a straightforward strategy to exploit publicly available gene expression data to guide the choice of cell-based models. While this approach does not overcome the major limitations of such models, introducing a rank order of selected features may allow selecting model cell lines that are more adapted and pertinent to the addressed biological question. Facultad de Ciencias Exactas |
Databáze: | OpenAIRE |
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