Welcome to Clinical Kinase Index (CKI) : A Web App For Exploring And Visualizing Clinical Relevant Cancer Kinase Drug Targets




Differentially expressed kinases in TCGA








Download Filtered Data










Boxplot showing Stage T



Boxplot showing Stage M

Boxplot showing Stage N



Overall Survival Analysis (OS)




Welcome to Clinical Kinome Index (CKI) : a web-app for exploring and visualizing clinical data from the TCGA datasets.

Download complete datasets

1. Scoring kinases
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Download complete dataset

2. Differentially expressed kinases
Download Data

Download complete dataset

3. Stage data TNM for cancer type ACC, BLCA, BRCA, CESC, CHOL, COAD, ESCA, HNSC, KICH, KIRC, KIRP, LUAD, LUSC, PAAD, PRAD, READ, SKCM, STAD, THCA
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Citation:

The Clinical Kinase Index: Prioritizing Understudied Kinases as Targets for the Treatment of Cancer Derek Essegian, Rimpi Khurana, Vasileios Stathias, Stephan C. Schürer Cell Reports Medicine:DOI:https://doi.org/10.1016/j.xcrm.2020.100128



Acknowledgements:

This work was supported by NIH grants U54HL127624 (BD2K LINCS Data Coordination and Integration Center, DCIC), U24TR002278 (Illuminating the Druggable Genome Resource Dissemination and Outreach Center, IDGRDOC), and U01LM012630 (BD2K, Enhancing the efficiency and effectiveness of digital curation for biomedical ‘big data’), and the State of Florida Biomedical Research Program, Bankhead Coley grant number 9BC13.



Code Availability:

https://github.com/schurerlab/DarkKinomeApp

Welcome to Clinical Kinome Index (CKI) : a web-app for exploring and visualizing clinical data from the TCGA datasets.

How to use the CKI?


Select the Gene:

  1. Search for your kinase of interest, tab and enter your kinase gene name; or use the drop down menu to select.
  2. The query may be filtered by Target Development Level (TDL), Kinase Type, Kinase Phylogenic Group or Approved Target.
  3. The results will be populated in a table which contain the kinase names and TCGA cancer. Results may be sorted by Kinase_Score to explore which cancers this kinase ranks high in.


To search by Disease:

  1. Select the “Disease” tab and select the TCGA cancer cohort on the drop down menu.
  2. A Volcano plot will be generated which represents all differential genes for the selected cohort.
  3. Selecting the “Study” Sub-tab will generate box-plots for the selected gene for T,N and M staging.
  4. “Survival” will generate a KM survival plot for the selected gene.


Cancer Study Abbreviations:
  1. BLCA   Bladder Urothelial Carcinoma
  2. BRCA   Breast invasive carcinoma
  3. CESC    Cervical squamous cell carcinoma and endocervical adenocarcinoma
  4. CHOL   Cholangiocarcinoma
  5. COAD   Colon adenocarcinoma
  6. ESCA    Esophageal carcinoma
  7. HNSC   Head and Neck squamous cell carcinoma
  8. KICH    Kidney Chromophobe
  9. KIRC    Kidney renal clear cell carcinoma
  10. KIRP    Kidney renal papillary cell carcinoma
  11. LIHC   Liver hepatocellular carcinoma
  12. LUAD   Lung adenocarcinoma
  13. LUSC    Lung squamous cell carcinoma
  14. PRAD   Prostate adenocarcinoma
  15. READ   Rectum adenocarcinoma
  16. STAD    Stomach adenocarcinoma
  17. THCA   Thyroid carcinoma


Link to GitHub

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