@article{ElkonLoayzaPuchKorkmazetal.2015,
  author    = {Elkon, Ran and Loayza-Puch, Fabricio and Korkmaz, Gozde and Lopes, Rui and van Breugel, Pieter C and Bleijerveld, Onno B and Altelaar, AF Maarten and Wolf, Elmar and Lorenzin, Francesca and Eilers, Martin and Agami, Reuven},
  title     = {Myc coordinates transcription and translation to enhance transformation and suppress invasiveness},
  series = {EMBO reports},
  volume    = {16},
  journal   = {EMBO reports},
  number    = {12},
  doi       = {10.15252/embr.201540717},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-150373},
  pages     = {1723-1736},
  year      = {2015},
  abstract  = {c-Myc is one of the major human proto-oncogenes and is often associated with tumor aggression and poor clinical outcome. Paradoxically, Myc was also reported as a suppressor of cell motility, invasiveness, and metastasis. Among the direct targets of Myc are many components of the protein synthesis machinery whose induction results in an overall increase in protein synthesis that empowers tumor cell growth. At present, it is largely unknown whether beyond the global enhancement of protein synthesis, Myc activation results in translation modulation of specific genes. Here, we measured Myc-induced global changes in gene expression at the transcription, translation, and protein levels and uncovered extensive transcript-specific regulation of protein translation. Particularly, we detected a broad coordination between regulation of transcription and translation upon modulation of Myc activity and showed the connection of these responses to mTOR signaling to enhance oncogenic transformation and to the TGFβ pathway to modulate cell migration and invasiveness. Our results elucidate novel facets of Myc-induced cellular responses and provide a more comprehensive view of the consequences of its activation in cancer cells.},
  language  = {en}
}
@article{SanderdeJongRosenwaldetal.2014,
  author    = {Sander, Brigitta and de Jong, Daphne and Rosenwald, Andreas and Xie, Wanling and Balagu{\´e}, Olga and Calaminici, Maria and Carreras, Joaquim and Gaulard, Philippe and Gribben, John and Hagenbeek, Anton and Kersten, Marie Jos{\´e} and Molina, Thierry Jo and Lee, Abigail and Montes-Moreno, Santiago and Ott, German and Raemaekers, John and Salles, Gilles and Sehn, Laurie and Thorns, Christoph and Wahlin, Bjorn E. and Gascoyne, Randy D. and Weller, Edie},
  title     = {The reliability of immunohistochemical analysis of the tumor microenvironment in follicular lymphoma: a validation study from the Lunenburg Lymphoma Biomarker Consortium},
  series = {Haematologica},
  volume    = {99},
  journal   = {Haematologica},
  number    = {4},
  issn      = {1592-8721},
  doi       = {10.3324/haematol.2013.095257},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116875},
  pages     = {715-725},
  year      = {2014},
  abstract  = {The cellular microenvironment in follicular lymphoma is of biological and clinical importance. Studies on the clinical significance of non-malignant cell populations have generated conflicting results, which may partly be influenced by poor reproducibility in immunohistochemical marker quantification. In this study, the reproducibility of manual scoring and automated microscopy based on a tissue microarray of 25 follicular lymphomas as compared to flow cytometry is evaluated. The agreement between manual scoring and flow cytometry was moderate for CD3, low for CD4, and moderate to high for CD8, with some laboratories scoring closer to the flow cytometry results. Agreement in manual quantification across the 7 laboratories was low to moderate for CD3, CD4, CD8 and FOXP3 frequencies, moderate for CD21, low for MIB1 and CD68, and high for CD10. Manual scoring of the architectural distribution resulted in moderate agreement for CD3, CD4 and CD8, and low agreement for FOXP3 and CD68. Comparing manual scoring to automated microscopy demonstrated that manual scoring increased the variability in the low and high frequency interval with some laboratories showing a better agreement with automated scores. Manual scoring reliably identified rare architectural patterns of T-cell infiltrates. Automated microscopy analyses for T-cell markers by two different instruments were highly reproducible and provided acceptable agreement with flow cytometry. These validation results provide explanations for the heterogeneous findings on the prognostic value of the microenvironment in follicular lymphoma. We recommend a more objective measurement, such as computer-assisted scoring, in future studies of the prognostic impact of microenvironment in follicular lymphoma patients.},
  language  = {en}
}