Artificial Intelligence Technique for Gene Expression Profiling of Urinary Bladder Cancer

2006 ◽  
Author(s):  
M. F. Abbod ◽  
J. W. F. Catto ◽  
D. A. Linkens ◽  
P. J. Wild ◽  
A. Herr ◽  
...  
Keyword(s):  
Gene Expression ◽  
Artificial Intelligence ◽  
Bladder Cancer ◽  
Urinary Bladder ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Urinary Bladder Cancer ◽  
Artificial Intelligence Technique ◽  
Intelligence Technique

Association of myeloid suppressor cells with resistance to checkpoint blockade immunotherapy in urothelial carcinoma.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 559-559
Author(s):  
Debasish Sundi ◽  
Megan Christina Duggan ◽  
Himanshu Savardekar ◽  
Hyunwoo Kwon ◽  
Steven Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Gene Expression Profiling ◽  
Immune Cells ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Suppressor Cells ◽  
Complete Response ◽  
Checkpoint Blockade ◽  
Myeloid Suppressor Cells

559 Background: Myeloid immune cells such as myeloid derived suppressor cells (MDSC) and tumor associated macrophages (TAM) have been hypothesized to cause resistance to immune checkpoint blockade (ICB). This is a pressing clinical problem for patients with bladder cancer. Here we determined if we could identify immune cells associated with resistance to ICB in the BBN963 mouse model, and if we could identify therapeutic strategies to target those same suppressor immune cells from patients with bladder cancer. Methods: BBN963 subcutaneous allografts were established in C57BL6/J mice. Response to anti-PD-L1 ICB was classified as partial or complete response according to RECIST criteria. Immune cell subsets with the tumors was evaluated by gene expression profiling and flow cytometry. Peripheral blood from patients with bladder cancer was collected under an IRB-approved protocol. MDSC were purified by flow sorting (CD11b+ CD33+ HLA-DRlow/neg) and screened for viability (Annexin-V staining) after 24 hours of exposure to a panel potential MDSC inhibitors. Results: 16/22 (72%) subjects met criteria for partial or complete response, while 6/22 (28%) were classified as anti-PD-L1 non-responders. Mice in the control group had a 0/10 (0%) response to isotype control (IgG) treatment. Monocytic MDSC (CD11b+ Ly6C+) were much more frequent among the intratumoral CD45+ cells of non-responding subjects as compared to control mice. Nanostring immune panel gene expression profiling revealed that combination treatment of tumor bearing mice with anti-PD-L1 plus ibrutinib (a putative MDSC inhibitor) decreased mRNA biomarkers of tumor-infiltrating macrophages. In vitro screening of patient-derived peripheral blood mononuclear cells showed that an inhibitor of the bromodomain and extraterminal domain (BET) family BRD4 specifically decreased MDSC viability. Conclusions: Monocytic MDSC appear to be associated with resistance to anti-PD-L1 ICB in a new murine model. Analysis of MDSC from patients with bladder cancer suggests that these myeloid suppressor cells can be specifically targeted.

scholarly journals Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 22874-22883 ◽  
Author(s):  
Nour Eldeen M. Khalifa ◽  
Mohamed Hamed N. Taha ◽  
Dalia Ezzat Ali ◽  
Adam Slowik ◽  
Aboul Ella Hassanien
Keyword(s):  
Gene Expression ◽  
Artificial Intelligence ◽  
Deep Learning ◽  
Learning Approach ◽  
Rna Seq ◽  
Artificial Intelligence Technique ◽  
Intelligence Technique

Influence of Cigarette Smoking on Prostaglandin Synthesis and Cyclooxygenase-2 Gene Expression in Human Urinary Bladder Cancer

2002 ◽  
Vol 20 (5-6) ◽  
pp. 651-656 ◽  
Author(s):  
Alaa F. Badawi ◽  
Samy L. Habib ◽  
Mohammed A. Mohammed ◽  
Ahmed A. Abadi ◽  
Michael S. Michael
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Urinary Bladder ◽  
Cigarette Smoking ◽  
Urinary Bladder Cancer ◽  
Prostaglandin Synthesis ◽  
Cyclooxygenase 2 ◽  
Human Urinary Bladder

Gene Expression Profiling of Progressive Papillary Noninvasive Carcinomas of the Urinary Bladder

2005 ◽  
Vol 11 (12) ◽  
pp. 4415-4429 ◽  
Author(s):  
Peter J. Wild ◽  
Alexander Herr ◽  
Christoph Wissmann ◽  
Robert Stoehr ◽  
Andre Rosenthal ◽  
...  
Keyword(s):  
Gene Expression ◽  
Urinary Bladder ◽  
Gene Expression Profiling ◽  
Expression Profiling

Gene Expression Profiling and Pathway Analysis of Superficial Bladder Cancer in Rats

Urology ◽  
2010 ◽  
Vol 75 (3) ◽  
pp. 742-749 ◽  
Author(s):  
Carl-Jørgen Arum ◽  
Endre Anderssen ◽  
Karin Tømmerås ◽  
Steiner Lundgren ◽  
Duan Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Gene Expression Profiling ◽  
Pathway Analysis ◽  
Expression Profiling ◽  
Superficial Bladder Cancer

scholarly journals Gene expression profiling of microRNAs associated with UCA1 in bladder cancer cells

2016 ◽  
Vol 48 (4) ◽  
pp. 1617-1627 ◽  
Author(s):  
XIAOJUAN XIE ◽  
JINGJING PAN ◽  
LIQIANG WEI ◽  
SHOUZHEN WU ◽  
HUILIAN HOU ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Gene Expression Profiling ◽  
Cancer Cells ◽  
Expression Profiling ◽  
Bladder Cancer Cells
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