Non-small cell lung cancer (NSCLC) is a leading cause of death worldwide. Targeted monotherapies produce high regression rates, albeit for limited patient subgroups, who inevitably succumb. We present a novel strategy for identifying customized combinations of triplets of targeted agents, utilizing a simplified interventional mapping system (SIMS) that merges knowledge about existent drugs and their impact on the hallmarks of cancer. Based on interrogation of matched lung tumor and normal tissue using targeted genomic sequencing, copy number variation, transcriptomics, and miRNA expression, the activation status of 24 interventional nodes was elucidated. An algorithm was developed to create a scoring system that enables ranking of the activated interventional nodes for each patient. Based on the trends of co-activation at interventional points, combinations of drug triplets were defined in order to overcome resistance. This methodology will inform a prospective trial to be conducted by the WIN consortium, aiming to significantly impact survival in metastatic NSCLC and other malignancies.
Keywords: Tri-therapy, NSCLC, targeted therapies, algorithm, pathway
- R
- Shiny
- R-studio
Shiny works with R version >=3.0.0 (as of 15th-January- 2015). If you have an old version of R <3.0.0, please remove the version completely by executing the commands given below.
sudo apt-get remove r-base-core sudo apt-get remove r-base sudo apt-get remove autoremove
Download the latest version of R from CRAN�>= R-3.0.0 and install from source. Click on the below link to download the latest version of R.
http://cran.r-project.org/src/base/R-3/
- Download the latest version and unzip the file.
- Go to R directory and find the INSTALL file and follow the instructions. (Given below)
./configure --with-x=yes --enable-R-shlib
make
make check
make pdf
make info
make install
make install-info
make install-pdf
Installing shiny Execute the command inside the R console
install.packages("shiny")
Installing shiny themes
Install libcurl4-gnutls-dev first using terminal
sudo apt-get -y build-dep libcurl4-gnutls-dev apt-get -y install sudo libcurl4-gnutls-dev
Install RStudio from here
-
Standalone version
cd Standalone
Rscripts SIMS.R
or
Open R-studio project file 'Standalone.Rproj'
- Web version
cd sims_web_bgu
R
library(shiny)
shiny::runApp("SIMS")