The Pathology Atlas

High expression

Low expression

TIMELESS - melanoma

High expression

Low expression

CDK1 - pancreatic cancer

The Pathology Atlas contains mRNA and protein expression data from 17 different forms of human cancer. Correlation analyses based on mRNA expression levels of human genes in cancer tissue and the clinical outcome for almost 8000 cancer patients is presented in a gene-centric manner, including more than 18000 Kaplan-Meier plots with high significance (p<0.001).
Analysis of each protein and its corresponding cancer type in patients, using immunohistochemistry (IHC) analysis based on tissue microarrays (TMAs), is presented for a majority of the protein-coding genes. The resulting 5 million IHC cancer tissue images are presented here.
All transcriptomics data has been retrieved from the Cancer Genome Atlas and all proteomics data has been generated in-house using the same antibodies as in protein expression profiling in normal human tissues.

Cancer statistics from relevant international and Swedish databases are summarized here, and hallmarks of cancer are described here.

THE CANCER PROTEOMESⁱ

Interactive chapters regarding each of the 17 cancer types explore mRNA and protein expression data, including genes associated with prognosis.

Brain (Glioma)
Head and neck
Thyroid gland
Lung
Liver
Testis Prostate

	Stomach Colon/Rectum
	Breast Endometrium Ovary Cervix
	Pancreas
	Kidney
	Urinary bladder
	Skin (Melanoma)

CORRELATION ANALYSIS AND PROGNOSTIC GENESⁱ

Correlation analysis resulted in more than 10000 prognostic genes. The number of prognostic genes with regard to cancer type and association with the favorable or unfavorable clinical outcome are summarized in the interactive table below.