BIOM-20. IDENTIFICATION OF BLOOD BIOMARKERS FOR DIFFERENTIATING PSEUDOPROGRESSION FROM RECURRENCE IN GLIOBLASTOMA. (14th November 2022)

• Record Type: Journal Article
• Authors: Nakada, Mitsutoshi; Ohtsuki, Sumio; Uchida, Yasuo; Nakajima, Riho; Sabit, Hemragul; Tamai, Sho; Ichinose, Toshiya; Kinoshita, Masashi
• Is Part Of: Neuro-oncology. Volume 24(2022)Supplement 7
• Page Start: vii8
• Page End: vii8
• Publication Date: 2022-11-14
• Subjects: Brain Neoplasms -- Periodicals; Brain -- Tumors -- Periodicals; Brain -- Cancer -- Periodicals; Nervous system -- Cancer -- Periodicals; 616.99481
• DOI: 10.1093/neuonc/noac209.030
• Languages: English
• ISSNs: 1522-8517

Abstract

Abstract: After the initial treatment of glioblastoma, we occasionally encounter difficulty in distinguishing between pseudoprogression and recurrence. Observation without obtaining a pathological diagnosis is a common strategy in clinical practice. If the differentiation can be achieved easily, and reliably, early treatment can be introduced appropriately, leading to the benefits of early glioblastoma treatment. In this study, we attempted to identify blood biomarkers that help distinguish between recurrence and pseudoprogression. Blood samples were collected in 25 cases of primary glioblastoma, IDH wild type, at three time points: before treatment, after standard treatment: operation and temozolomide chemotherapy with concomitant radiation therapy, and when an enhancing lesion was recognized (21 cases of recurrence, 4 cases of pseudoprogression). Gelsolin (GSN), Apolipoprotein A-IV, Osteopontin, SERPINA3, ITIH2/4 Ceruloplasmin, LRG1, Collagen-1A2, which we previously extracted as diagnostic markers, using the comprehensive proteomics SWATH method, in blood samples of healthy volunteers and patients with glioblastoma (PLoS One. 2018, J Proteome Res. 2020), were analyzed. Absolute quantitative values of candidate molecules in the blood were obtained using a commercially available enzyme-linked immunoassay. Among the candidate molecules, GSN was significantly lower in pseudoprogression than in recurrence (p = 0.0032), and ROC analysis showed sensitivity of 95%, specificity of 100%, and an AUC = 0.98, which makes GSN a useful molecule to consider as a differential marker. We previously reported that GSN, actin binding protein, and inflammation markers are downregulated in glioblastoma (Cancer Sci. 2020). In summary, GSN was extracted as a candidate blood biomarker for the diagnosis of pseudoprogression. We are planning to validate the research with nationwide multi-institutional studies.