@article{KunzWolfSchulzeetal.2016,
  author    = {Kunz, Meik and Wolf, Beat and Schulze, Harald and Atlan, David and Walles, Thorsten and Walles, Heike and Dandekar, Thomas},
  title     = {Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools},
  series = {Genes},
  volume    = {8},
  journal   = {Genes},
  number    = {1},
  doi       = {10.3390/genes8010008},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-147990},
  pages     = {8},
  year      = {2016},
  abstract  = {Lung cancer is currently the leading cause of cancer related mortality due to late diagnosis and limited treatment intervention. Non-coding RNAs are not translated into proteins and have emerged as fundamental regulators of gene expression. Recent studies reported that microRNAs and long non-coding RNAs are involved in lung cancer development and progression. Moreover, they appear as new promising non-invasive biomarkers for early lung cancer diagnosis. Here, we highlight their potential as biomarker in lung cancer and present how bioinformatics can contribute to the development of non-invasive diagnostic tools. For this, we discuss several bioinformatics algorithms and software tools for a comprehensive understanding and functional characterization of microRNAs and long non-coding RNAs.},
  language  = {en}
}
@phdthesis{Krauss2011,
  author    = {Krauss, Eva},
  title     = {Analyse der Expression von MAGE-A-Antigenen in Pr{\"a}kursorl{\"a}sionen und manifesten Tumoren des oralen Plattenepithelkarzinoms},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66188},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Orale Plattenepithelkarzinome entwickeln sich h{\"a}ufig aus Pr{\"a}kanzerosen. Trotz der Fr{\"u}hdiagnostik ist es f{\"u}r den Kliniker und den Pathologen meist schwierig eine Pr{\"a}kanzerose, die zur Entartung neigt, rechtzeitig als solche zu erkennen. MAGE-A-Antigene sind Tumorantigene, die nur in malignen Zellen vorkommen. Diese Antigene k{\"o}nnen dazu dienen, Karzinome fr{\"u}her als solche zu erkennen. Das Ziel dieser Studie war, diese Hypothese zu best{\"a}tigen, indem gutartige, pr{\"a}kanzer{\"o}se und karzinomat{\"o}se Ver{\"a}nderung untersucht wurden. Dazu wurden retrospektiv Biopsien der oralen Schleimhaut (orale Ulzera, Epulitiden, follikul{\"a}re Zysten, Lichen planus, Leukolakien, epitheliale Dysplasien und Carcinomata in situ) untersucht. Diese wurden immunhistochemisch mit dem polyklonalen Antik{\"o}rper MAGE-A 57B angef{\"a}rbt. Dabei stellte sich heraus, dass MAGE-A-Antigene nicht in gutartigen Ver{\"a}nderungen vorkommen, jedoch zu 33-65\% in pr{\"a}kanzer{\"o}sen und malignen L{\"a}sionen. Ein weiteres Ziel umfasste die Untersuchung der kritischen Randbereiche. Hier wurde bei den positv gef{\"a}rbten Pr{\"a}paraten eine eindeutige Grenze zwischen benigner und maligner Schleimhaut durch die Anf{\"a}rbung mit mAb-57B sichtbar.},
  subject      = {Pr{\"a}kanzerose},
  language  = {de}
}
@article{MolochnikovRabeyDobronevskyetal.2012,
  author    = {Molochnikov, Leonid and Rabey, Jose M. and Dobronevsky, Evgenya and Bonuccelli, Ubaldo and Ceravolo, Roberto and Frosini, Daniela and Gr{\"u}nblatt, Edna and Riederer, Peter and Jacob, Christian and Aharon-Peretz, Judith and Bashenko, Yulia and Youdim, Moussa B. H. and Mandel, Silvia A.},
  title     = {A molecular signature in blood identifies early Parkinson's disease},
  series = {Molecular Neurodegeneration},
  volume    = {7},
  journal   = {Molecular Neurodegeneration},
  number    = {26},
  doi       = {10.1186/1750-1326-7-26},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-134508},
  year      = {2012},
  abstract  = {Background: The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD. Results: The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95\% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95\% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95\% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95\% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100\% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29). Conclusions: The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder.},
  language  = {en}
}