Data from Pattern of Serum Autoantibodies Allows Accurate Distinction between a Tumor and Pathologies of the Same Organ

Autor: Eckart Meese, Hans-Peter Lenhof, Wolf Ingo Steudel, Klaus Fassbender, Ulrike Fischer, Christian Pallasch, Stefanie Rheinheimer, Nicole Comtesse, Andreas Keller, Nicole Ludwig
Rok vydání: 2023
DOI: 10.1158/1078-0432.c.6516973
Popis: Purpose: Recent studies impressively showed the diagnostic potential of seroreactivity patterns for different tumor types, offering the prospect for low-cost screening of numerous tumor types simultaneously. One of the major challenges toward this goal is to prove that seroreactivity profiles do not only allow for identifying a tumor but also allow for distinguishing tumors from other pathologies of the same organ.Experimental Design: We chose glioma as a model system and tested 325 sera (88 glioma, 95 intracranial tumors, 60 other brain pathologies, and 82 healthy controls) for seroreactivity on a panel of 35 antigens.Results: We were able to discriminate between glioma and all other sera with cross-validated specificity of 86.1%, sensitivity of 85.2%, and accuracy of 85.8%. We obtained comparably good results for the separation of glioma versus nontumor brain pathologies and glioma versus other intracranial tumors.Conclusion: Our study provides first evidence that seroreactivity patterns allow for an accurate discrimination between a tumor and pathologies of the same organ even between different tumor types of the same organ.
Databáze: OpenAIRE