@article{FischerHartmannReisslandetal.2022,
  author    = {Fischer, Thomas and Hartmann, Oliver and Reissland, Michaela and Prieto-Garcia, Cristian and Klann, Kevin and Pahor, Nikolett and Sch{\"u}lein-V{\"o}lk, Christina and Baluapuri, Apoorva and Polat, B{\"u}lent and Abazari, Arya and Gerhard-Hartmann, Elena and Kopp, Hans-Georg and Essmann, Frank and Rosenfeldt, Mathias and M{\"u}nch, Christian and Flentje, Michael and Diefenbacher, Markus E.},
  title     = {PTEN mutant non-small cell lung cancer require ATM to suppress pro-apoptotic signalling and evade radiotherapy},
  series = {Cell \& Bioscience},
  volume    = {12},
  journal   = {Cell \& Bioscience},
  issn      = {2045-3701},
  doi       = {10.1186/s13578-022-00778-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-299865},
  year      = {2022},
  abstract  = {Background Despite advances in treatment of patients with non-small cell lung cancer, carriers of certain genetic alterations are prone to failure. One such factor frequently mutated, is the tumor suppressor PTEN. These tumors are supposed to be more resistant to radiation, chemo- and immunotherapy. Results We demonstrate that loss of PTEN led to altered expression of transcriptional programs which directly regulate therapy resistance, resulting in establishment of radiation resistance. While PTEN-deficient tumor cells were not dependent on DNA-PK for IR resistance nor activated ATR during IR, they showed a significant dependence for the DNA damage kinase ATM. Pharmacologic inhibition of ATM, via KU-60019 and AZD1390 at non-toxic doses, restored and even synergized with IR in PTEN-deficient human and murine NSCLC cells as well in a multicellular organotypic ex vivo tumor model. Conclusion PTEN tumors are addicted to ATM to detect and repair radiation induced DNA damage. This creates an exploitable bottleneck. At least in cellulo and ex vivo we show that low concentration of ATM inhibitor is able to synergise with IR to treat PTEN-deficient tumors in genetically well-defined IR resistant lung cancer models.},
  language  = {en}
}
@article{BechtSchollmayerMonakhovaetal.2021,
  author    = {Becht, Alexander and Schollmayer, Curd and Monakhova, Yulia and Holzgrabe, Ulrike},
  title     = {Tracing the origin of paracetamol tablets by near-infrared, mid-infrared, and nuclear magnetic resonance spectroscopy using principal component analysis and linear discriminant analysis},
  series = {Analytical and Bioanalytical Chemistry},
  volume    = {413},
  journal   = {Analytical and Bioanalytical Chemistry},
  number    = {11},
  doi       = {10.1007/s00216-021-03249-z},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265400},
  pages     = {3107-3118},
  year      = {2021},
  abstract  = {Most drugs are no longer produced in their own countries by the pharmaceutical companies, but by contract manufacturers or at manufacturing sites in countries that can produce more cheaply. This not only makes it difficult to trace them back but also leaves room for criminal organizations to fake them unnoticed. For these reasons, it is becoming increasingly difficult to determine the exact origin of drugs. The goal of this work was to investigate how exactly this is possible by using different spectroscopic methods like nuclear magnetic resonance and near- and mid-infrared spectroscopy in combination with multivariate data analysis. As an example, 56 out of 64 different paracetamol preparations, collected from 19 countries around the world, were chosen to investigate whether it is possible to determine the pharmaceutical company, manufacturing site, or country of origin. By means of suitable pre-processing of the spectra and the different information contained in each method, principal component analysis was able to evaluate manufacturing relationships between individual companies and to differentiate between production sites or formulations. Linear discriminant analysis showed different results depending on the spectral method and purpose. For all spectroscopic methods, it was found that the classification of the preparations to their manufacturer achieves better results than the classification to their pharmaceutical company. The best results were obtained with nuclear magnetic resonance and near-infrared data, with 94.6\%/99.6\% and 98.7/100\% of the spectra of the preparations correctly assigned to their pharmaceutical company or manufacturer.},
  language  = {en}
}