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Zellmigration ist essentiell für die Invasion und Metastasierung maligner Tumore. Neben der Bewegung von Einzelzellen zeigen Tumore sowohl epithe¬lialen als auch mesenchymalen Ursprungs auch kollektive Migration und Invasion multizellulärer Zellverbände, die sich unter Beibehaltung von Zell-Zell-Adhäsionen koordiniert als Gruppe bewegen. Ziel der Arbeit war, primäre humane Melanomexplantate mittels organotypischer Kultur in 3D Kollagenmatrices einzusetzen, um mittels Zeit-raffermikroskopie und experimentellen Blockadestrategien die zellulären und molekularen Grundlagen kollektiver Migration darzustellen, insbesondere die Bedeutung von Zell-Matrix-Interaktionen und Integrinen. In 3D Explantatkulturen bildeten primäre Melanomexplantate reproduzierbar Invasionszonen und sich ablösende und kollektiv wandernde Zellcluster aus. Diese zeichneten sich durch eine ausgeprägte Polarität mit motiler Vorderfront mit zugartig reorientierten Kollagenfasern und nachgezogenem hinteren Teil der Gruppen aus, vergleichbar der Asymmetrie haptokinetisch migrierender Fibroblasten. β1 Integrine zeigten ein heterogenes Verteilungsmuster mit Fokalisierung an Zell-Matrix-Interaktionen vor allem an der Vorderfront und linearer Anordnung entlang der Zell-Zell-Grenzen. Adhäsionsblockierende anti- β1 Integrin-Antikörper bewirkten nahezu vollständige Hemmung der kollektiven Migration, mit Verlust der Zellgruppenpolarität und Migrationspersistenz. Nach Integrinblockade zerfielen Zellverbände infolge Loslösung von Einzelzellen, die sich mittels β1 Integrin-unabhängiger, amöboider Migration durch die Kollagenmatrix bewegten. Der Übergang von β1 Integrin-abhängiger, kollektiver Migration zu amöboider Einzelzellwanderung (kollektiv-amöboide Transition) ist ein Beispiel für die Plastizität von Tumorzellwanderung, die in Anpassung an das Milieu einen Wechsel der Migrationsstrategie erlaubt. Die Plastizität der Tumorzellmigration muss bei der Entwicklung therapeutischer Konzepte, die auf Hemmung von Tumorinvasion und -metastasierung abzielen, berücksichtigt werden.
Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single genes classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple single genes classifiers. We investigate the effect of (1) the number of selected features; (2) the specific gene set from which features are selected; (3) the size of the training set and (4) the heterogeneity of the data set on the performance of composite feature and single genes classifiers. Strikingly, we find that randomization of secondary data sources, which destroys all biological information in these sources, does not result in a deterioration in performance of composite feature classifiers. Finally, we show that when a proper correction for gene set size is performed, the stability of single genes sets is similar to the stability of composite feature sets. Based on these results there is currently no reason to prefer prognostic classifiers based on composite features over single genes classifiers for predicting outcome in breast cancer.
Background: Recent data suggest that cancer stem cells (CSCs) play an important role in cancer, as these cells possess enhanced tumor-forming capabilities and are responsible for relapses after apparently curative therapies have been undertaken. Hence, novel cancer therapies will be needed to test for both tumor regression and CSC targeting. The use of oncolytic vaccinia virus (VACV) represents an attractive anti-tumor approach and is currently under evaluation in clinical trials. The purpose of this study was to demonstrate whether VACV does kill CSCs that are resistant to irradiation and chemotherapy.
Methods: Cancer stem-like cells were identified and separated from the human breast cancer cell line GI-101A by virtue of increased aldehyde dehydrogenase 1 (ALDH1) activity as assessed by the ALDEFLUOR assay and cancer stem cell-like features such as chemo-resistance, irradiation-resistance and tumor-initiating were confirmed in cell culture and in animal models. VACV treatments were applied to both ALDEFLUOR-positive cells in cell culture and in xenograft tumors derived from these cells. Moreover, we identified and isolated CD44\(^+\)CD24\(^+\)ESA\(^+\) cells from GI-101A upon an epithelial-mesenchymal transition (EMT). These cells were similarly characterized both in cell culture and in animal models.
Results: We demonstrated for the first time that the oncolytic VACV GLV-1h68 strain replicated more efficiently in cells with higher ALDH1 activity that possessed stem cell-like features than in cells with lower ALDH1 activity. GLV-1h68 selectively colonized and eventually eradicated xenograft tumors originating from cells with higher ALDH1 activity. Furthermore, GLV-1h68 also showed preferential replication in CD44\(^+\)CD24\(^+\)ESA\(^+\) cells derived from GI-101A upon an EMT induction as well as in xenograft tumors originating from these cells that were more tumorigenic than CD44\(^+\)CD24\(^-\)ESA\(^+\) cells.
Conclusions: Taken together, our findings indicate that GLV-1h68 efficiently replicates and kills cancer stem-like cells. Thus, GLV-1h68 may become a promising agent for eradicating both primary and metastatic tumors, especially tumors harboring cancer stem-like cells that are resistant to chemo and/or radiotherapy and may be responsible for recurrence of tumors.