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KAKEN_24592529seika.pdf
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Title |
Title |
卵巣癌の薬物応答に関与する新規バイオマーカーの特定
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Kana |
ランソウガン ノ ヤクブツ オウトウ ニ カンヨスル シンキ バイオマーカー ノ トクテイ
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Ransogan no yakubutsu oto ni kanyosuru shinki baiomaka no tokutei
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Identification of novel bio-marker associated with drug response in ovarian cancer
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山上, 亘
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ヤマガミ, ワタル
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Yamagami, Wataru
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Affiliation |
慶應義塾大学・医学部・助教
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Research team head
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科研費研究者番号 : 30348718
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西尾, 和人
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ニシオ, カズト
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Nishio, kazuto
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近畿大学・医学部・教授
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Research team member
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科研費研究者番号 : 10208134
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赤羽, 智子
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アカハネ, トモコ
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Romanization |
Akahane, Tomoko
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Affiliation |
慶應義塾大学・医学部・助教
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Research team member
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科研費研究者番号 : 40398699
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2015
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科学研究費補助金研究成果報告書
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2014
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Abstract |
本研究は①一塩基多型(single nucleotide polymorphism, SNP)に基づいた卵巣癌術後化学療法の効果予測②卵巣癌への分子標的治療薬効果予測マーカーの開発を目的とした。①は癌症例の血中リンパ球の網羅的SNP解析により, 化学療法の好中球減少の程度で有意差を認めるSNPを5種, および判別分析にて20種抽出した。これらの中に予後と相関を認めたSNPが認められた。②は卵巣癌組織においてFGF3, FGF4遺伝子のコピー数増幅が7%, 12%で認められ, 細胞株ではES2細胞株で増幅が認められた。ES2細胞株でソラフェニブのIC50値が他の卵巣癌細胞株に比べ, 有意に低値であった。
The aims are to clarify 1) the method for predicting effect of postoperative chemotherapy by single nucleotide polymorphism(SNP) and 2) the bio-marker for predicting effect of targeted therapy for ovarian cancer.
1) Global SNP annalysis using normal lymphocytes from ovarian cancer patients on the basis of a degree of neutropenia following adjuvant chemotherapy extracted five SNPs and discriminant analysis extracted twenty SNPs. Some of these SNPs correlated with the prognosis. 2) Copy number amplification of FGF3 and FGF4 was detected in 7% and 12% of ovarian cancer tissues and ES2 cell line. IC50 of sorafenib were significantly lower in ES2 cell line than that in the other ovarian cancer cell lines.
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研究種目 : 基盤研究(C)
研究期間 : 2012~2014
課題番号 : 24592529
研究分野 : 婦人科腫瘍学
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