9 results match your criteria: "VTT Technical Research Centre of Finland and University of Turku[Affiliation]"

Plasminogen activator urokinase expression reveals TRAIL responsiveness and supports fractional survival of cancer cells.

Cell Death Dis

January 2014

Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/UdS/CERBM, BP10142, 67404 Illkirch Graffenstaden, France.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL/TNFSF10/Apo2L) holds promise for cancer therapy as it induces apoptosis in a large variety of cancer cells while exerting negligible toxicity in normal ones. However, TRAIL can also induce proliferative and migratory signaling in cancer cells resistant to apoptosis induced by this cytokine. In that regard, the molecular mechanisms underlying the tumor selectivity of TRAIL and those balancing apoptosis versus survival remain largely elusive.

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Disruption of intercellular adhesions, increased abundance of alpha(5)beta(1) integrin, and activation of protein kinase Cepsilon (PKCepsilon) correlate with invasion and unfavorable prognosis in lung cancer. However, it remains elusive how these distinct factors contribute to the invasive behavior of cancer cells. Persistent cell motility requires the formation of stable lamellae at the leading edge of a migrating cell.

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Adherent cells undergo remarkable changes in shape during cell division. However, the functional interplay between cell adhesion turnover and the mitotic machinery is poorly understood. The endo/exocytic trafficking of integrins is regulated by the small GTPase Rab21, which associates with several integrin alpha subunits.

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Article Synopsis
  • * In laboratory studies, overexpressing S100P in prostate cancer cells promoted tumor growth, reduced cell death, and conferred resistance to chemotherapy drugs like camptothecin.
  • * The research indicates that S100P not only enhances androgen receptor expression, facilitating cancer progression but also highlights its potential as a target for new drug therapies and a biomarker for aggressive forms of prostate cancer.
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Predicting survival and therapy responses of breast cancer patients is a significant challenge. Two studies in this issue of Cancer Cell present a novel integrated analysis of genomic and transcriptomic profiles of 145 primary breast cancers and 51 established cell lines. Data from clinical tumors highlighted mechanisms of disease and facilitated identification of potential therapeutic targets and prognostic biomarkers.

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Translocations fusing the strong androgen-responsive gene, TMPRSS2, with ERG or other oncogenic ETS factors may facilitate prostate cancer development. Here, we studied 18 advanced prostate cancers for ETS factor alterations, using reverse transcription-PCR and DNA and RNA array technologies, and identified putative ERG downstream gene targets from the microarray data of 410 prostate samples. Out of the 27 ETS factors, ERG was most frequently overexpressed.

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Human Protein Atlas charts a diverse terrain.

Trends Biotechnol

May 2006

Medical Biotechnology, VTT Technical Research Centre of Finland and University of Turku, Itäinen Pitkäkatu 4A, FIN-20520 Turku, Finland.

A complete set of high-quality antibodies against the human proteome would constitute a remarkable resource for the analysis of protein abundances in tissues, facilitating systematic protein expression profiling in health and disease. In two recent papers, Swedish researchers describe a concerted effort towards producing a 'Human Protein Atlas' by combining high-throughput antibody generation with immunohistochemical profiling of tissue microarrays.

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Gene mutations play a critical role in cancer development and progression, and their identification offers possibilities for accurate diagnostics and therapeutic targeting. Finding genes undergoing mutations is challenging and slow, even in the post-genomic era. A new approach was recently developed by Noensie and Dietz to prioritize and focus the search, making use of nonsense-mediated mRNA decay (NMD) inhibition and microarray analysis (NMD microarrays) in the identification of transcripts containing nonsense mutations.

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Identification of target genes for genetic rearrangements in prostate cancer and the impact of copy number changes on gene expression are currently not well understood. Here, we applied high-resolution comparative genomic hybridization (CGH) on cDNA microarrays for analysis of prostate cancer cell lines. CGH microarrays identified most of the alterations detected by classic chromosomal CGH, as well as a number of previously unreported alterations.

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