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Methods for functional analysis of high-throughput experimental data and gene groups identified therefrom

  • US 9,353,415 B2
  • Filed: 12/19/2007
  • Issued: 05/31/2016
  • Est. Priority Date: 12/19/2006
  • Status: Active Grant
First Claim
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1. A method for categorizing a breast cancer tissue sample, said method comprising:

  • a) providing an article of manufacture, said article comprising oligonucleotides for measuring gene expression of genes in the following descriptor groups;

    (1) PSMD3, TCAP, ERBB2, THRAP4, GRB7, CRK7, GSDML, LENEP, PPARBP;

    (2) DNALI1, XBP1, AR, FOXA1;

    (3) GATA3, TFF3, ACADSB, ESR1, CAl2;

    (4) KRT17, SERPINB5, KRT5, GABRP, ANXA8, TRIM29, S100A2;

    (5) KRT18, KRT8, PPP2CA, KRT8L2;

    (6) COL11A1, WNT2, MMP14, PLAU, PLAUR;

    (7) FN1, THY1, BAPX1, COL5A2;

    (8) PSMB9, STAT1, PDCD1LG2, GBP1, CXCL10, UBE2L6, TAP1, LAP3; and

    (9) CEACAM3, CEACAM5, CEACAM6, CEACAM7,said oligonucleotides comprising primer pairs suitable for reverse-transcriptase polymerase chain reaction (RT-PCR) of the genes in the descriptor groups, wherein the primer pairs comprise primers having the sequences of SEQ ID NOs;

    1-100;

    b) measuring expression of genes of the descriptor groups in the tissue sample using the primer pairs to carry out an RT-PCR amplification of the genes;

    c) assigning a positive or negative status for each of the descriptor groups based on whether a majority of genes in a group are overexpressed in the sample; and

    d) categorizing the breast cancer tissue sample based on a combination of the positive and/or negative statuses so determined,wherein SEQ ID NOs;

    1-100 are;

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