New study demonstrates future diagnostic possibilities

During the summer a new study was published in Nature Communications where samples from nearly 1500 patients, representing 12 different forms of cancer, from the U-CANs sample collection were used. The aim of the study was to use an extremely sensitive method combined with AI to identify how the expression of over 1400 proteins in blood samples from patients with different forms of cancer differed from each other. The study's findings show that it is possible distinguish different forms of cancer from each other with great precision based on the expression of "protein-panels" in blood, and that in many instances these panels can furthermore distinguish healthy blood samples from diseased blood samples, demonstrating the potential and usefulness of this approach for future diagnostics and cancer screening.

The study has been a collaboration between scientists from The Royal Institute of Technology in Stockholm, Science for Life Laboratory in Stockholm and Linköping, The Karolinska Institute and Uppsala University.

The data from the study is summarized and openly published on the The Human Protein Atlas website (under the "Disease"-tab).

Link to the study: Next generation pan-cancer blood proteome profiling using proximity extension assay. Nat Commun. 2023 Jul 18;14(1):4308.

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