6 Einträge gefunden

1. Tumor cell PD-L1 expression is a strong predictor of unfavorable prognosis in immune checkpoint therapy-naive clear cell renal cell cancer

   1. Möller, Katharina
   2. Fraune, Christoph
   3. Blessin, Niclas C
   4. Lennartz, Maximilian
   5. Kluth, Martina
   6. Hube-Magg, Claudia
   7. Lindhorst, Linnea

   2021 - Forschungsinformationssystem des UKE - frei zugänglich
2. High level of EZH2 expression is linked to high density of CD8-positive T-lymphocytes and an aggressive phenotype in renal cell carcinoma

   1. Eichenauer, Till
   2. Simmendinger, Luca
   3. Fraune, Christoph
   4. Mandelkow, Tim
   5. Blessin, Niclas C
   6. Kluth, Martina
   7. Hube-Magg, Claudia

   2021 - Forschungsinformationssystem des UKE - frei zugänglich
3. 8p deletions in renal cell carcinoma are associated with unfavorable tumor features and poor overall survival

   1. Eichenauer, Till
   2. Bannenberg, David C
   3. Kluth, Martina
   4. Wittmer, Corinna
   5. Büscheck, Franziska
   6. Möller, Katharina
   7. Dum, David

   2020 - Forschungsinformationssystem des UKE
4. Secreted Frizzled-Related Protein 4 (SFRP4) Is an Independent Prognostic Marker in Prostate Cancers Lacking TMPRSS2: ERG Fusions

   1. Bernreuther, Christian
   2. Daghigh, Ferdous
   3. Möller, Katharina
   4. Hube-Magg, Claudia
   5. Lennartz, Maximilian
   6. Lutz, Florian
   7. Rico, Sebastian Dwertmann

   2020 - Forschungsinformationssystem des UKE
5. High CHK2 protein expression is a strong and independent prognostic feature in ERG negative prostate cancer

   1. Eichenauer, Till
   2. Federlein, Felix
   3. Möller, Katharina
   4. Chirico, Viktoria
   5. Kind, Simon
   6. Lennartz, Maximilian
   7. Lutz, Florian

   2020 - Forschungsinformationssystem des UKE
6. Up regulation of the Hippo signalling effector YAP1 is linked to early biochemical recurrence in prostate cancers

   1. Marx, Andreas
   2. Schumann, Aljoscha
   3. Höflmayer, Doris
   4. Bady, Elena
   5. Hube-Magg, Claudia
   6. Möller, Katharina
   7. Tsourlakis, Maria Christina

   2020 - Forschungsinformationssystem des UKE