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    • 5. 发明申请
    • IDENTIFICATION OF MULTI-MODAL ASSOCIATIONS BETWEEN BIOMEDICAL MARKERS
    • 鉴定生物医学标记之间的多模式协会
    • WO2012046191A2
    • 2012-04-12
    • PCT/IB2011/054366
    • 2011-10-04
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.COLD SPRING HARBOR LABORATORYBANERJEE, NilanjanaJANEVSKI, AngelKAMALAKARAN, SitharthanVARADAN, VinayDIMITROVA, NevenkaLUCITO, Robert
    • BANERJEE, NilanjanaJANEVSKI, AngelKAMALAKARAN, SitharthanVARADAN, VinayDIMITROVA, NevenkaLUCITO, Robert
    • G06F19/12
    • G06F19/20G06F19/12G06F19/18
    • The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said biomedical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10,FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.
    • 本发明涉及一种用于识别生物医学标记之间的多模式关联的方法,其允许确定网络节点和/或高排名网络成员或其组合,指示具有用于医疗状况的诊断,预后或预测值, 特别是卵巢癌。 本发明还涉及与受试者对癌症治疗(优选基于铂的癌症治疗)的高反应性的高可能性相关联的生物医学标记物或生物医学标记物组,其中所述生物医学标记物或生物医学标记物组包含至少1, 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,8,19,20或者所有选自PKMYT1,SKIL,RAB8A,HIRIP3, CTNNB1,NGFR,ZCCHC11,LSP1,CD200,PAX8,CYBRD1,HOXC11,TCEAL1,FZD10,FZD1,BBS4,IRS2,TLX3,TSPAN2,TXN和CFLAR。 此外,提供了用于检测,诊断,毕业,监测或预测医学状况或用于检测1诊断,监测或预测受试者对于针对所述医学病症,特别是卵巢癌的治疗的反应性的测定法,作为 以及用于分类受试者的相应方法以及医疗决策支持系统。