An Interactive Web Interface for Exploring the Clinical Phenotypic Relevance of Specific Cancer

Three ways of looking TCGA data
What are the clinically relevant genes/miRs/proteins?
By cancer type
By clinical parameters
By name of genes, miRs or proteins
Profiling by clinical parameters
: What is difference in genetic/proteomic changes between classes in a clinical parameter in a certain cancer?
Testing two hit hypothesis
: Do the changes of two genes occur together or not?

What are the clinically relevant genes/miRs/proteins?
When you are interested in a certain cancer type, click here and select a cancer type

What are the clinically relevant genes/miRs/proteins?
If you select COADREAD, webpage shows the summary list with clinical parameters that are available in COADREAD

What are the clinically relevant genes/miRs/proteins?
When you are interested in a clinical parameter, click here and select a cancer type

What are the clinically relevant genes/miRs/proteins?
If you select clinical stage, webpage shows the summary list with from all the cancer types which clinical stage is available

What are the clinically relevant genes/miRs/proteins?
When you are wondering whether a gene of your interest is associated with clinical parameters or not, click here and type your gene/miR/protein name

What are the clinically relevant genes/miRs/proteins?
If you type TP53, webpage shows the summary list with all the clinical parameters in cancers that TP53 are associated with

Profiling by Clinical Parameter
When do you want to know the difference of a gene between samples with different types in terms of genetic/proteomic profiling, use middle panel
How does PIK3CA behave differently between EBV infected and non-infected samples in stomach cancer?
Type PIK3CA
Select STAD
Select EBV present
Click Submit

Profiling by Clinical Parameter
Summary of PIK3CA genetic profiles between EBV infected and non-infected samples in stomach cancer

Testing two hit hypothesis
What is difference in copy number changes of TP53 between samples with and without TP53 mutation?
-> Use bottom panel