Regulation of β1C and β1A Integrin Expression in Prostate Carcinoma Cells

beta(1C) and beta(1A) integrins are two splice variants of the human beta(1) integrin subfamily that act as an inhibitor and a stimulator of cell proliferation, respectively. In neoplastic prostate epithelium, both these variants are down-regulated at the mRNA level, but only beta(1C) protein levels are reduced. We used an experimental model consisting of PNT1A, a normal immortalized prostate cell line, and LNCaP and PC-3, two prostate carcinoma cell lines, to investigate both the transcription/post-transcription and translation/post-translation processes of beta(1C) and beta(1A). Transcriptional regulation played the key role for the reduction in beta(1C) and beta(1A) mRNA expression in cancer cells, as beta(1C) and beta(1A) mRNA half-lives were comparable in normal and cancer cells. beta(1C) translation rate decreased in cancer cells in agreement with the decrease in mRNA levels, whereas beta(1A) translation rate increased more than 2-fold, despite the reduction in mRNA levels. Both beta(1C) and beta(1A) proteins were degraded more rapidly in cancer than in normal cells, and pulse-chase experiments showed that intermediates and/or rates of beta(1C) and beta(1A) protein maturation differ in cancer versus normal cells. Inhibition of either calpain- or lysosomal-mediated proteolysis increased both beta(1C) and beta(1A) protein levels, the former in normal but not in cancer cells and the latter in both cell types, albeit at a higher extent in cancer than in normal cells. Interestingly, inhibition of the ubiquitin proteolytic pathway increased expression of ubiquitinated beta(1C) protein without affecting beta(1A) protein levels in cancer cells. These results show that transcriptional, translational, and post-translational processes, the last involving the ubiquitin proteolytic pathway, contribute to the selective loss of beta(1C) integrin, a very efficient inhibitor of cell proliferation, in prostate malignant transformation

Explaining Ovarian Cancer Gene Expression Profiles with Fuzzy Rules and Genetic Algorithms

The analysis of gene expression data is a complex task, and many tools and pipelines are available to handle big sequencing datasets for case-control (bivariate) studies. In some cases, such as pilot or exploratory studies, the researcher needs to compare more than two groups of samples consisting of a few replicates. Both standard statistical bioinformatic pipelines and innovative deep learning models are unsuitable for extracting interpretable patterns and information from such datasets. In this work, we apply a combination of fuzzy rule systems and genetic algorithms to analyze a dataset composed of 21 samples and 6 classes, useful for approaching the study of expression profiles in ovarian cancer, compared to other ovarian diseases. The proposed method is capable of performing a feature selection among genes that is guided by the genetic algorithm, and of building a set of if-then rules that explain how classes can be distinguished by observing changes in the expression of selected genes. After testing several parameters, the final model consists of 10 genes involved in the molecular pathways of cancer and 10 rules that correctly classify all samples

Regulation of β1C and β1A integrin expression in prostate carcinoma cells.

beta(1C) and beta(1A) integrins are two splice variants of the human beta(1) integrin subfamily that act as an inhibitor and a stimulator of cell proliferation, respectively. In neoplastic prostate epithelium, both these variants are down-regulated at the mRNA level, but only beta(1C) protein levels are reduced. We used an experimental model consisting of PNT1A, a normal immortalized prostate cell line, and LNCaP and PC-3, two prostate carcinoma cell lines, to investigate both the transcription/post-transcription and translation/post-translation processes of beta(1C) and beta(1A). Transcriptional regulation played the key role for the reduction in beta(1C) and beta(1A) mRNA expression in cancer cells, as beta(1C) and beta(1A) mRNA half-lives were comparable in normal and cancer cells. beta(1C) translation rate decreased in cancer cells in agreement with the decrease in mRNA levels, whereas beta(1A) translation rate increased more than 2-fold, despite the reduction in mRNA levels. Both beta(1C) and beta(1A) proteins were degraded more rapidly in cancer than in normal cells, and pulse-chase experiments showed that intermediates and/or rates of beta(1C) and beta(1A) protein maturation differ in cancer versus normal cells. Inhibition of either calpain- or lysosomal-mediated proteolysis increased both beta(1C) and beta(1A) protein levels, the former in normal but not in cancer cells and the latter in both cell types, albeit at a higher extent in cancer than in normal cells. Interestingly, inhibition of the ubiquitin proteolytic pathway increased expression of ubiquitinated beta(1C) protein without affecting beta(1A) protein levels in cancer cells. These results show that transcriptional, translational, and post-translational processes, the last involving the ubiquitin proteolytic pathway, contribute to the selective loss of beta(1C) integrin, a very efficient inhibitor of cell proliferation, in prostate malignant transformation

Regulation of TGF-beta 1 expression by Androgen Deprivation Therapy of prostate cancer

In this paper we studied the in vivo neoadjuvant Androgen Deprivation Therapy (ADT) effect on the expression of TGF-beta 1 and its receptor T beta-RII. Mechanisms of androgen dependence are critical to understanding prostate cancer progression to androgen independence associated with disease mortality, and TGF-beta is thought to support prostatic apoptosis as its expression coincides with androgen ablation in benign and cancer tissues. Increase of both mRNA and protein level were shown for the first time only in the patients who underwent neoadjuvant ADT for 1-month. This transient increase of TGF-beta expression after androgen ablation suggested cooperation of the pathways in prostate regression. Since no alteration was observed in the gene transcriptional activity, the molecular mechanism of this cooperation, probably act at the post-transcriptional level. TGF-beta 1 and T beta-RII specific signals were co-localized within the neoplastic prostate epithelium. our results suggests that the androgens deprivation by means of ADT for 1-month, involves a shift of the TGF-beta 1 mechanism in prostate cancer, suggesting that the TGF-beta 1 promotes prostate epithelial cell proliferation and inhibits apoptosis in a autocrine way. (C) 2011 Elsevier Ireland Ltd. All rights reserved