@article{WoźnickiLaquaMessmeretal.2022,
  author    = {Wo{\'{z}}nicki, Piotr and Laqua, Fabian Christopher and Messmer, Katharina and Kunz, Wolfgang Gerhard and Stief, Christian and N{\"o}renberg, Dominik and Schreier, Andrea and W{\´o}jcik, Jan and Ruebenthaler, Johannes and Ingrisch, Michael and Ricke, Jens and Buchner, Alexander and Schulz, Gerald Bastian and Gresser, Eva},
  title     = {Radiomics for the prediction of overall survival in patients with bladder cancer prior to radical cystectomy},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {18},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14184449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288098},
  year      = {2022},
  abstract  = {(1) Background: To evaluate radiomics features as well as a combined model with clinical parameters for predicting overall survival in patients with bladder cancer (BCa). (2) Methods: This retrospective study included 301 BCa patients who received radical cystectomy (RC) and pelvic lymphadenectomy. Radiomics features were extracted from the regions of the primary tumor and pelvic lymph nodes as well as the peritumoral regions in preoperative CT scans. Cross-validation was performed in the training cohort, and a Cox regression model with an elastic net penalty was trained using radiomics features and clinical parameters. The models were evaluated with the time-dependent area under the ROC curve (AUC), Brier score and calibration curves. (3) Results: The median follow-up time was 56 months (95\% CI: 48-74 months). In the follow-up period from 1 to 7 years after RC, radiomics models achieved comparable predictive performance to validated clinical parameters with an integrated AUC of 0.771 (95\% CI: 0.657-0.869) compared to an integrated AUC of 0.761 (95\% CI: 0.617-0.874) for the prediction of overall survival (p = 0.98). A combined clinical and radiomics model stratified patients into high-risk and low-risk groups with significantly different overall survival (p < 0.001). (4) Conclusions: Radiomics features based on preoperative CT scans have prognostic value in predicting overall survival before RC. Therefore, radiomics may guide early clinical decision-making.},
  language  = {en}
}
@article{DeGiorgiBuonaguroWorschechetal.2013,
  author    = {De Giorgi, Valeria and Buonaguro, Luigi and Worschech, Andrea and Tornesello, Maria Lina and Izzo, Francesco and Marincola, Francesco M. and Wang, Ena and Buonaguro, Franco M.},
  title     = {Molecular Signatures Associated with HCV-Induced Hepatocellular Carcinoma and Liver Metastasis},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {2},
  doi       = {10.1371/journal.pone.0056153},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131155},
  pages     = {e56153},
  year      = {2013},
  abstract  = {Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. In Italy, particularly Southern Italy, chronic hepatitis C virus (HCV) infection represents the main cause of HCC. Using high-density oligoarrays, we identified consistent differences in gene-expression between HCC and normal liver tissue. Expression patterns in HCC were also readily distinguishable from those associated with liver metastases. To characterize molecular events relevant to hepatocarcinogenesis and identify biomarkers for early HCC detection, gene expression profiling of 71 liver biopsies from HCV-related primary HCC and corresponding HCV-positive non-HCC hepatic tissue, as well as gastrointestinal liver metastases paired with the apparently normal peri-tumoral liver tissue, were compared to 6 liver biopsies from healthy individuals. Characteristic gene signatures were identified when normal tissue was compared with HCV-related primary HCC, corresponding HCV-positive non-HCC as well as gastrointestinal liver metastases. Pathway analysis classified the cellular and biological functions of the genes differentially expressed as related to regulation of gene expression and post-translational modification in HCV-related primary HCC; cellular Growth and Proliferation, and Cell-To-Cell Signaling and Interaction in HCV-related non HCC samples; Cellular Growth and Proliferation and Cell Cycle in metastasis. Also characteristic gene signatures were identified of HCV-HCC progression for early HCC diagnosis. Conclusions: A diagnostic molecular signature complementing conventional pathologic assessment was identified.},
  language  = {en}
}
@article{D'AndreaSoriaGrotenhuisetal.2021,
  author    = {D'Andrea, David and Soria, Francesco and Grotenhuis, Anne J. and Cha, Eugene K. and Malats, Nuria and Di Stasi, Savino and Joniau, Steven and Cai, Tommaso and Rhijn, Bas W. G. van and Irani, Jaques and Karnes, Jeffrey and Varkarakis, John and Baniel, Jack and Palou, Joan and Babjuk, Marek and Spahn, Martin and Ardelt, Peter and Colombo, Renzo and Serretta, Vincenzo and Dalbagni, Guido and Gontero, Paolo and Bartoletti, Riccardo and Larr{\´e}, Stephane and Malmstrom, Per-Uno and Sylvester, Richard and Shariat, Shahrokh F.},
  title     = {Association of patients' sex with treatment outcomes after intravesical bacillus Calmette-Gu{\´e}rin immunotherapy for T1G3/HG bladder cancer},
  series = {World Journal of Urology},
  volume    = {39},
  journal   = {World Journal of Urology},
  number    = {9},
  doi       = {10.1007/s00345-021-03653-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-344486},
  pages     = {3337-3344},
  year      = {2021},
  abstract  = {Purpose To investigate the association of patients' sex with recurrence and disease progression in patients treated with intravesical bacillus Calmette-Gu{\´e}rin (BCG) for T1G3/HG urinary bladder cancer (UBC). Materials and methods We analyzed the data of 2635 patients treated with adjuvant intravesical BCG for T1 UBC between 1984 and 2019. We accounted for missing data using multiple imputations and adjusted for covariate imbalance between males and females using inverse probability weighting (IPW). Crude and IPW-adjusted Cox regression analyses were used to estimate the hazard ratios (HR) with their 95\% confidence intervals (CI) for the association of patients' sex with HG-recurrence and disease progression. Results A total of 2170 (82\%) males and 465 (18\%) females were available for analysis. Overall, 1090 (50\%) males and 244 (52\%) females experienced recurrence, and 391 (18\%) males and 104 (22\%) females experienced disease progression. On IPW-adjusted Cox regression analyses, female sex was associated with disease progression (HR 1.25, 95\%CI 1.01-1.56, p = 0.04) but not with recurrence (HR 1.06, 95\%CI 0.92-1.22, p = 0.41). A total of 1056 patients were treated with adequate BCG. In these patients, on IPW-adjusted Cox regression analyses, patients' sex was not associated with recurrence (HR 0.99, 95\%CI 0.80-1.24, p = 0.96), HG-recurrence (HR 1.00, 95\%CI 0.78-1.29, p = 0.99) or disease progression (HR 1.12, 95\%CI 0.78-1.60, p = 0.55). Conclusion Our analysis generates the hypothesis of a differential response to BCG between males and females if not adequately treated. Further studies should focus on sex-based differences in innate and adaptive immune system and their association with BCG response.},
  language  = {en}
}