The disease section - Human Disease Blood Atlas

The Human Disease Blood Atlas contains information on protein levels in blood in patients with different diseases and highlights proteins associated with these diseases using differential expression analysis and a disease prediction strategy based on machine-learning. In this version, a pan-cancer study is reported covering 1463 proteins quantified by Proximity Extension Assay (PEA) and 146 proteins quantified by isotope dilution strategies based on the addition of recombinant protein fragment standards – the gold standard of quantitative mass spectrometry. Protein profiles have been quantified across 12 major cancer types. More information about the specific content and the generation and analysis of the data in the section can be found in the Methods Summary.

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comprehensive and precise protein levels in blood covering 12 different cancer types
proteins associated with each of the analyzed cancers

PAN-CANCER SUMMARY

The plasma proteome representing 12 different cancer types and 1477 patients, included in a pan-cancer cohort from the Uppsala-Umeå Comprehensive Cancer Consortium (U-CAN) biobank, has been analysed.

Click on the boxes below to find more details about the different cancer types as well as the genes differentially expressed between the cancer types and the proteins selected by prediction models to be associated with different cancers.

Myeloma
Acute myeloid leukemia
Chronic lymphocytic leukemia
Diffuse large B-cell lymphoma

Breast cancer
Cervical cancer
Endometrial cancer
Ovarian cancer

Colorectal cancer
Glioma
Lung cancer
Prostate cancer

PAN-CANCER BLOOD PROTEIN PROFILES

The Human Disease Blood Atlas has been created providing an open access resource to explore the protein levels in blood in patients with different diseases. In the first version of the Disease Blood Atlas, a pan-cancer study is reported covering 1463 proteins across 12 major cancer types. AI-based disease prediction models were used to to identify a panel of proteins associated with each of the cancers. The protein levels for all cancer patients for each protein target are presented on the individual gene summary pages in the Disease section. In the figure below, the 83 proteins selected by the prediction model are presented with links from the gene name to the respective summary page.The name of the cancer type is linked to the page with all related data for that cancer.