scholarly journals Identification of prognostic biomarkers associated with stromal cell infiltration in muscle‐invasive bladder cancer by bioinformatics analyses

2020 ◽  
Vol 9 (19) ◽  
pp. 7253-7267
Author(s):  
Pan Li ◽  
Jinlong Cao ◽  
Jianpeng Li ◽  
Zhiqiang Yao ◽  
Dali Han ◽  
...  
Apmis ◽  
2019 ◽  
Vol 127 (8) ◽  
pp. 545-553 ◽  
Author(s):  
Ana Blanca ◽  
Alvaro Sanchez‐Gonzalez ◽  
Maria J. Requena ◽  
Julia Carrasco‐Valiente ◽  
Enrique Gomez‐Gomez ◽  
...  

2014 ◽  
Vol 32 (4) ◽  
pp. 1489-1496 ◽  
Author(s):  
PENG-FEI LIU ◽  
YONG-HUA WANG ◽  
YAN-WEI CAO ◽  
HAI-PING JIANG ◽  
XUE-CHENG YANG ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sia Viborg Lindskrog ◽  
Frederik Prip ◽  
Philippe Lamy ◽  
Ann Taber ◽  
Clarice S. Groeneveld ◽  
...  

AbstractThe molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we perform an integrative multi-omics analysis of patients diagnosed with NMIBC (n = 834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations are significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration is associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirms the higher infiltration of class 2b tumors and demonstrates an association between higher immune cell infiltration and lower recurrence rates. Finally, the independent prognostic value of the transcriptomic classes is documented in 1228 validation samples using a single sample classification tool. The classifier provides a framework for biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials.


Author(s):  
Sia Viborg Lindskrog ◽  
Frederik F. Prip ◽  
Philippe Lamy ◽  
Ann Taber ◽  
Clarice S. Groeneveld ◽  
...  

AbstractThe molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we performed a large integrative multi-omics analysis of patients diagnosed with NMIBC (n=834). Transcriptomic analysis identified four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provided independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations were significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration was associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirmed the higher infiltration of class 2b tumors and demonstrated an association between higher immune cell infiltration and lower recurrence rates. Finally, a single-sample classification tool was built and the independent prognostic value of the transcriptomic classes was documented in 1306 validation samples. The classifier provides a framework for novel biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials.


Author(s):  
Jessica Marinaro ◽  
Alexander Zeymo ◽  
Jillian Egan ◽  
Filipe Carvalho ◽  
Ross Krasnow ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 114-115
Author(s):  
Young Deuk Choi ◽  
Kang Su Cho ◽  
Soung Yong Cho ◽  
Hyun Min Choi ◽  
Nam Hoon Cho

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