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    • 3. 发明申请
    • ALGORITHMS FOR OUTCOME PREDICTION IN PATIENTS WITH NODE-POSITIVE CHEMOTHERAPY-TREATED BREAST CANCER
    • 患有结直肠癌治疗乳腺癌的患者的预后预测方法
    • US20110166838A1
    • 2011-07-07
    • US12999522
    • 2009-06-16
    • Mathias GehrmannRalf KronenwettUdo StroppChristian Von TörneKarsten Weber
    • Mathias GehrmannRalf KronenwettUdo StroppChristian Von TörneKarsten Weber
    • G06F7/60
    • C12Q1/6886C12Q2600/106C12Q2600/112C12Q2600/118C12Q2600/136C12Q2600/158G16B20/00G16B25/00G16B40/00
    • The invention relates to methods for predicting an outcome of cancer in a patient suffering from cancer, said patient having been previously diagnosed as node positive and treated with cytotoxic chemotherapy, said method comprising determining in a biological sample from said patient an expression level of a plurality of genes selected from the group consisting of ACTG1, CAl2, CALM2, CCND1, CHPT1, CLEC2B, CTSB, CXCL13, DCN, DHRS2, EIF4B, ERBB2, ESR1, FBXO28, GABRP, GAPDH, H2AFZ, IGFBP3, IGHG1, IGKC, KCTD3, KIAA0101, KRT17, MLPH, MMP1, NAT1, NEK2, NR2F2, OAZ1, PCNA, PDLIM5, PGR, PPIA, PRC1, RACGAP1, RPL37A, SOX4, TOP2A, UBE2C and VEGF; ABCB1, ABCG2, ADAM15, AKR1C1, AKR1C3, AKT1, BANF1, BCL2, BIRC5, BRMS1, CASP10, CCNE2, CENPJ, CHPT1, EGFR, CTTN, ERBB3, ERBB4, FBLN1, FIP1L1, FLT1, FLT4, FNTA, GATA3, GSTP1, Herstatin, IGF1R, IGHM, KDR, KIT, CKRT5, SLC39A6, MAPK3, MAPT, MKI67, MMP7, MTA1, FRAP1, MUC1, MYC, NCOA3, NFIB, OLFM1, TP53, PCNA, PI3K, PPERLD1, RAB31, RAD54B, RAF1, SCUBE2, STAU, TINF2, TMSL8, VGLL1, TRA@, TUBA1, TUBB, TUBB2A.
    • 本发明涉及用于预测患有癌症的患者的癌症结果的方法,所述患者先前被诊断为淋巴结阳性并用细胞毒性化疗治疗,所述方法包括在来自所述患者的生物样品中确定多个表达水平 选自ACTG1,CA2,CALM2,CCND1,CHPT1,CLEC2B,CTSB,CXCL13,DCN,DHRS2,EIF4B,ERBB2,ESR1,FBXO28,GABRP,GAPDH,H2AFZ,IGFBP3,IGHG1,IGKC,KCTD3, KIAA0101,KRT17,MLPH,MMP1,NAT1,NEK2,NR2F2,OAZ1,PCNA,PDLIM5,PGR,PPIA,PRC1,RACGAP1,RPL37A,SOX4,TOP2A,UBE2C和VEGF; ABCB1,ABCG2,ADAM15,AKR1C1,AKR1C3,AKT1,BANF1,BCL2,BIRC5,BRMS1,CASP10,CCNE2,CENPJ,CHPT1,EGFR,CTTN,ERBB3,ERBB4,FBLN1,FIP1L1,FLT1,FLT4,FNTA,GATA3,GSTP1, Herbatin,IGF1R,IGHM,KDR,KIT,CKRT5,SLC39A6,MAPK3,MAPT,MKI67,MMP7,MTA1,FRAP1,MUC1,MYC,NCOA3,NFIB,OLFM1,TP53,PCNA,PI3K,PPERLD1,RAB31,RAD54B,RAF1, SCUBE2,STAU,TINF2,TMSL8,VGLL1,TRA @,TUBA1,TUBB,TUBB2A。
    • 5. 发明申请
    • METHOD FOR PREDICTING THERAPY RESPONSIVENESS IN BASAL LIKE TUMORS
    • 在基础类似肿瘤中预防治疗反应的方法
    • US20110118129A1
    • 2011-05-19
    • US12745668
    • 2008-11-06
    • Ralph Markus WirtzRalf Kronenwett
    • Ralph Markus WirtzRalf Kronenwett
    • C40B30/00C12Q1/68G01N33/53C07K16/00C07H21/04
    • C12Q1/6886C12Q2600/112C12Q2600/118C12Q2600/158
    • The present invention is related to a method for predicting a clinical response of a patient suffering from or at risk of developing a neoplastic disease towards at least one given mode of treatment, said method comprising the steps of: a) obtaining a biological sample from said patient; b) determining, on a non protein basis, the expression level of at least one gene of interest, said gene being correlated with the Estrogen receptor (ESR) status in the said sample, c) comparing the pattern of expression levels determined in (b) with one or several reference pattern(s) of expression levels; and d) predicting therapeutic success for said given mode of treatment in said patient from the outcome of the comparison in step (c). Moreover, the invention concerns nucleic acid molecules usefuls as primers and probes for detecting the expression of Her2-neu/ErbB2, MLHP and MMP7, respectively.
    • 本发明涉及一种用于预测患有或具有发展为肿瘤疾病的风险的患者的临床反应朝向至少一种给定治疗方式的方法,所述方法包括以下步骤:a)从所述的方法获得生物样品 患者; b)在非蛋白质基础上确定至少一种目标基因的表达水平,所述基因与所述样品中的雌激素受体(ESR)状态相关,c)比较在(b)中确定的表达水平的模式 )具有一个或几个表达水平的参考模式; 以及d)从步骤(c)中的比较结果预测所述患者中所述给定治疗模式的治疗成功。 此外,本发明涉及分别用作检测Her2-neu / ErbB2,MLHP和MMP7表达的引物和探针的核酸分子。