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Detecting Cancer Early: How Protein Profiling Aids Patients with Vague Symptoms

News-Medical
January 19, 20263 days ago
Plasma protein profiling can help detect cancer in patients with non-specific symptoms

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A Swedish study reveals a blood test utilizing plasma protein profiling can detect cancer in patients with vague symptoms like fatigue or weight loss. Researchers identified a specific protein signature linked to cancer, enabling a model to distinguish it from other serious conditions with high precision. This method aims to support diagnostic prioritization, not replace existing procedures.

A simple blood test can help detect cancer in patients with non-specific symptoms such as fatigue, pain or weight loss. This is according to a Swedish study from Karolinska Institutet, Danderyd Hospital and others, published in Nature Communications. When patients seek care for non-specific symptoms such as fatigue, pain or weight loss, it is often difficult to determine whether the cause is cancer, another serious condition or something completely harmless. In a new study, researchers at Karolinska Institutet and Danderyd Hospital, together with örebro University, KTH Royal Institute of Technology and SciLifeLab at Uppsala University, have investigated whether proteins in the blood can provide early clues. Protein signature linked to cancer The study analzed blood samples from nearly 700 patients referred to the Diagnostic Centre at Danderyd Hospital and örebro University Hospital in Sweden. The samples were taken before the diagnostic investigation began. Using proteomics, a method for large-scale protein analysis, the levels of 1,463 different proteins in plasma were measured. The researchers identified a specific combination of proteins, known as a protein signature, that could be linked to a cancer diagnosis. "The study shows the potential of large-scale proteomics for extracting clinically relevant information from small amounts of blood," says Mikael Åberg, associate professor at Uppsala University and head of SciLifeLab Affinity Proteomics Uppsala, where the analyses were performed. Distinguish cancer from other conditions The researchers then developed a model that can distinguish patients with cancer from those with other conditions, such as inflammatory, autoimmune or infectious diseases, with high precision. "A particular strength of the study is that the control group consisted largely of patients with other serious conditions that can cause symptoms similar to cancer," says Charlotte Thålin, senior physician at Danderyd Hospital, adjunct professor at Karolinska Institutet and principal investigator for the study. "This reflects the clinical reality, where patients with non-specific symptoms are often difficult to assess." Does not replace other methods The researchers emphasize that the method should not replace imaging diagnostics or biopsies, but rather serve as a support for prioritizing which patients should be investigated further. The method could help identify which patients should be prioritised for further diagnostics, for example with PET-CT, while avoiding unnecessary investigations in patients without cancer." Fredrika Wannberg, resident at Danderyd Hospital and doctoral student at Karolinska Institutet

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    Blood Test for Cancer: Early Detection with Protein Profiling