| Project/Area Number |
15H04981
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Obstetrics and gynecology
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| Research Institution | University of Fukui |
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Principal Investigator |
Yoshida Yoshio 福井大学, 学術研究院医学系部門, 教授 (60220688)
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| Co-Investigator(Kenkyū-buntansha) |
清野 泰 福井大学, 高エネルギー医学研究センター, 教授 (50305603)
岡沢 秀彦 福井大学, 高エネルギー医学研究センター, 教授 (50360813)
水谷 哲也 福井大学, 学術研究院医学系部門, 准教授 (90322734)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2017: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2016: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2015: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
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| Keywords | biomarker / metastases / Texture analysis / Entropy / heteerogenity / Progranulin,Osteopontin, / Midkine, GDF-15, / TNN1,COLIA2発現増加, / ZIC1発現抑制, / 子宮肉腫, / Radimics解析 / 癌 / 転移 / 子宮肉腫 / バイオマーカー / 肺転移 / 分子イメージング |
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| Outline of Final Research Achievements |
Progranulin, Osteopontin, Midkine, GDF-15 develops the biomarker candidate gene which is specific for an uterus sarcoma from identification clinical specimen or cancer genome data.After identified as candidate biomarkers for diagnosing uterine sarcoma, we developed a novel measurement system for these factors using POCube, a fully automated immunological analyzer and developing a rapid and easy method.To investigate this mechanism, we developed a novel uterine orthotopic and metastatic model. Microarray analysis between orthotopic tumors with high and low metastatic potentials revealed differential expression of genes related to cell proliferation and migration (TNNT1, COL1A2, and ZIC1) .
To evaluate the diagnostic significance of 18F-FDG PET/CT textural features for uterine sarcoma, Entropy, as a single feature, yielded the greatest AUC of 0.974 and the optimal cut-off value of 2.85 for entropy provided 93% sensitivity, 90% specificity, and 92% accuracy.
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