AIM: To identify molecular features associated with clinico-pathological parameters in renal cell cancer. MATERIALS AND METHODS: Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging was employed for a kidney cancer tissue microarray containing tissue samples from 789 patients for which clinical follow-up data were available. RESULTS: A comparison of mass spectrometric signals with clinico-pathological features revealed significant differences between papillary and clear cell renal cell cancer. Within the subgroup of clear cell RCC, statistical associations with tumor stage (seven signals, p<0.01 each), Fuhrman grade (seven signals, p<0.0001 each), and presence of lymph node metastases (10 signals, p<0.01 each) were found. In addition, the presence of one signal was significantly linked to shortened patient survival (p=0.0198). CONCLUSION: Our data pinpoint towards various molecules with potential relevance in renal cell cancer. They also demonstrate that the combination of the MALDI mass spectrometry imaging and large-scale tissue microarray platforms represents a powerful approach to identify clinically-relevant molecular cancer features.
AIM: To identify molecular features associated with clinico-pathological parameters in renal cell cancer. MATERIALS AND METHODS: Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging was employed for a kidney cancer tissue microarray containing tissue samples from 789 patients for which clinical follow-up data were available. RESULTS: A comparison of mass spectrometric signals with clinico-pathological features revealed significant differences between papillary and clear cell renal cell cancer. Within the subgroup of clear cell RCC, statistical associations with tumor stage (seven signals, p<0.01 each), Fuhrman grade (seven signals, p<0.0001 each), and presence of lymph node metastases (10 signals, p<0.01 each) were found. In addition, the presence of one signal was significantly linked to shortened patient survival (p=0.0198). CONCLUSION: Our data pinpoint towards various molecules with potential relevance in renal cell cancer. They also demonstrate that the combination of the MALDI mass spectrometry imaging and large-scale tissue microarray platforms represents a powerful approach to identify clinically-relevant molecular cancer features.
Authors: Lu Jiang; Kamila Chughtai; Samuel O Purvine; Zaver M Bhujwalla; Venu Raman; Ljiljana Paša-Tolić; Ron M A Heeren; Kristine Glunde Journal: Anal Chem Date: 2015-06-04 Impact factor: 6.986
Authors: Franziska Erlmeier; Annette Feuchtinger; Daniela Borgmann; Martina Rudelius; Michael Autenrieth; Axel Karl Walch; Gregor Weirich Journal: Histochem Cell Biol Date: 2015-05-01 Impact factor: 4.304
Authors: Daniel J Ryan; Nathan Heath Patterson; Nicole E Putnam; Aimee D Wilde; Andy Weiss; William J Perry; James E Cassat; Eric P Skaar; Richard M Caprioli; Jeffrey M Spraggins Journal: Anal Chem Date: 2019-05-31 Impact factor: 6.986
Authors: Alexander Quaas; Amir-Hossein Rahvar; Christoph Burdelski; Christina Koop; Christian Eichelberg; Michael Rink; Roland Dahlem; Thorsten Schlomm; Maria Christina Tsourlakis; Ronald Simon; Sarah Minner; Guido Sauter; Stefan Steurer Journal: World J Urol Date: 2014-12-21 Impact factor: 4.226