2008
DOI: 10.1158/1078-0432.ccr-07-4715
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Pattern of Serum Autoantibodies Allows Accurate Distinction between a Tumor and Pathologies of the Same Organ

Abstract: 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 intrac… Show more

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Cited by 26 publications
(25 citation statements)
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“…The hypothesis that SNPs are associated with immunogenic antigens was first proposed by Stadler et al [25]. This idea is also supported by our finding of SNPs in genes previously associated with humoral immune response in glioma patients [26], [35].…”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…The hypothesis that SNPs are associated with immunogenic antigens was first proposed by Stadler et al [25]. This idea is also supported by our finding of SNPs in genes previously associated with humoral immune response in glioma patients [26], [35].…”
Section: Discussionsupporting
confidence: 84%
“…We selected a total of 132 genes including 21 genes associated with an anti-tumor humoral immune response in glioma [ 26 ] , 55 genes associated with an immune response in glioma or other brain tumors [ 35] [37] , and 53 genes shown to be amplified or abnormally expressed in glioblastoma. (For specific details on the selection criteria of specific genes, see Table S1).…”
Section: Methodsmentioning
confidence: 99%
“…Serum-autoantibody tests hold the potential to recognize array bound peptides differentially dependent on whether these antibodies were produced in sera of control individuals or patients with a cancerous disease. These peptide sequences may serve as useful biomarkers and soon could support clinical diagnoses [38,39]. …”
Section: Discussionmentioning
confidence: 99%
“…A classification of glioma sera versus sera of patients with other intracranial tumor yielded an accuracy of 88.0%. A classification between glioma sera and sera of patients with non-tumor brain pathologies yielded an accuracy of 87.8% [31]. Lung cancer and patients with non-tumor lung pathologies were separated with an accuracy of 88.5% [28].…”
Section: Introductionmentioning
confidence: 99%