scholarly journals The “eyes” have it?—intra- and inter-observer reproducibility of the PD-L1 companion diagnostic assay

2017 ◽  
Vol 6 (S6) ◽  
pp. S1027-S1029
Author(s):  
Steven G. Gray ◽  
Mark C. Wright ◽  
Stephen P. Finn
Author(s):  
Marlon C. Rebelatto ◽  
Amita Mistry ◽  
Constantine Sabalos ◽  
Nicole Schechter ◽  
Jill Walker ◽  
...  

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. 8033-8033 ◽  
Author(s):  
Marlon Rebelatto ◽  
Amita Mistry ◽  
Costi Sabalos ◽  
Jill Walker ◽  
Anita Midha ◽  
...  

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 228-228
Author(s):  
S. A. Tomlins ◽  
P. Williams ◽  
S. Sadis ◽  
P. Wyngaard ◽  
K. Oades ◽  
...  

228 Background: Gene expression patterns are increasingly capable of stratifying patients based on prognosis and response to therapy. Given the limited availability of sample tissue, however, it is not feasible to utilize every test for every patient, suggesting the need for a universal companion diagnostic assay that is informative with respect to multiple clinical and therapeutic endpoints. Key challenges are identification of appropriate gene expression biomarkers, translation of biomarkers to clinical assays, and development of reliable gene expression profiling of formalin-fixed clinical specimens. Here we describe a novel RT-PCR biomarker assay optimized for FFPE clinical samples that has broad prognostic and predictive potential. Methods: A co-expression meta-analysis of 5,339 breast tumors from 56 microarray datasets identified highly co-expressed sets of genes (modules) across multiple datasets. Module biomarkers were tested for their ability to associate with prognostic and predictive targets in published datasets. In addition, each module was reduced from 10–1000 genes to 2-3 genes for use in companion diagnostic assays based on degree of co-expression across the meta-analysis, and validated against an independent panel of tumor samples. Results: This study demonstrates that a single test utilizing multiple module biomarkers is informative with respect to standard parameters such as ER, PR and Her2, and in addition reproduces existing prognostic and predictive genomic signatures. Furthermore, we show that modules of 10-1000 genes can be represented by 2-3 genes for direct use in companion diagnostics development. Conclusions: The molecular heterogeneity of breast cancer can be summarized by discrete gene expression modules that individually represent distinct biological programs, and that collectively can be represented by as few as 96 genes. Modules, together with outlier genes, allow for summation of the entire transcriptional program and provide a universal assay with broad application to companion diagnostics development.


2016 ◽  
Vol 16 (6) ◽  
pp. 707-713 ◽  
Author(s):  
Esther Conde ◽  
Susana Hernandez ◽  
Mario Prieto ◽  
Rebeca Martinez ◽  
Fernando Lopez-Rios

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