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dc.contributor.author | Hatae, Ryusuke | en |
dc.contributor.author | Chamoto, Kenji | en |
dc.contributor.author | Kim, Young Hak | en |
dc.contributor.author | Sonomura, Kazuhiro | en |
dc.contributor.author | Taneishi, Kei | en |
dc.contributor.author | Kawaguchi, Shuji | en |
dc.contributor.author | Yoshida, Hironori | en |
dc.contributor.author | Ozasa, Hiroaki | en |
dc.contributor.author | Sakamori, Yuichi | en |
dc.contributor.author | Akrami, Maryam | en |
dc.contributor.author | Fagarasan, Sidonia | en |
dc.contributor.author | Masuda, Izuru | en |
dc.contributor.author | Okuno, Yasushi | en |
dc.contributor.author | Matsuda, Fumihiko | en |
dc.contributor.author | Hirai, Toyohiro | en |
dc.contributor.author | Honjo, Tasuku | en |
dc.contributor.alternative | 波多江, 龍亮 | ja |
dc.contributor.alternative | 茶本, 健司 | ja |
dc.contributor.alternative | 金, 永学 | ja |
dc.contributor.alternative | 園村, 和弘 | ja |
dc.contributor.alternative | 種石, 慶 | ja |
dc.contributor.alternative | 川口, 修治 | ja |
dc.contributor.alternative | 吉田, 博徳 | ja |
dc.contributor.alternative | 小笹, 裕晃 | ja |
dc.contributor.alternative | 阪森, 優一 | ja |
dc.contributor.alternative | 枡田, 出 | ja |
dc.contributor.alternative | 奥野, 恭史 | ja |
dc.contributor.alternative | 松田, 文彦 | ja |
dc.contributor.alternative | 平井, 豊博 | ja |
dc.contributor.alternative | 本庶, 佑 | ja |
dc.date.accessioned | 2020-02-05T06:49:53Z | - |
dc.date.available | 2020-02-05T06:49:53Z | - |
dc.date.issued | 2020-01-30 | - |
dc.identifier.issn | 2379-3708 | - |
dc.identifier.uri | http://hdl.handle.net/2433/245622 | - |
dc.description | PD-1抗体がん免疫治療の有効性を判別するバイオマーカーを同定 --血液検査のみで有効性の診断が可能に--. 京都大学プレスリリース. 2020-01-31. | ja |
dc.description.abstract | BACKGROUND. Current clinical biomarkers for the programmed cell death 1 (PD-1) blockade therapy are insufficient because they rely only on the tumor properties, such as programmed cell death ligand 1 expression frequency and tumor mutation burden. Identifying reliable, responsive biomarkers based on the host immunity is necessary to improve the predictive values. METHODS. We investigated levels of plasma metabolites and T cell properties, including energy metabolism markers, in the blood of patients with non-small cell lung cancer before and after treatment with nivolumab (n = 55). Predictive values of combination markers statistically selected were evaluated by cross-validation and linear discriminant analysis on discovery and validation cohorts, respectively. Correlation between plasma metabolites and T cell markers was investigated. RESULTS. The 4 metabolites derived from the microbiome (hippuric acid), fatty acid oxidation (butyrylcarnitine), and redox (cystine and glutathione disulfide) provided high response probability (AUC = 0.91). Similarly, a combination of 4 T cell markers, those related to mitochondrial activation (PPARγ coactivator 1 expression and ROS), and the frequencies of CD8+PD-1hi and CD4+ T cells demonstrated even higher prediction value (AUC = 0.96). Among the pool of selected markers, the 4 T cell markers were exclusively selected as the highest predictive combination, probably because of their linkage to the abovementioned metabolite markers. In a prospective validation set (n = 24), these 4 cellular markers showed a high accuracy rate for clinical responses of patients (AUC = 0.92). CONCLUSION. Combination of biomarkers reflecting host immune activity is quite valuable for responder prediction. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | American Society for Clinical Investigation | en |
dc.rights | © 2020, American Society for Clinical Investigation | en |
dc.rights | Publisher permitted to deposit this paper on this repository. | en |
dc.title | Combination of host immune metabolic biomarkers for the PD-1 blockade cancer immunotherapy | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | JCI Insight | en |
dc.identifier.volume | 5 | - |
dc.identifier.issue | 2 | - |
dc.relation.doi | 10.1172/jci.insight.133501 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | e133501 | - |
dc.identifier.pmid | 31855576 | - |
dc.relation.url | https://www.kyoto-u.ac.jp/ja/research-news/2020-01-31 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 16H06149 | - |
datacite.awardNumber | 17K19593 | - |
datacite.awardNumber | 19K17673 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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