Integrated Center for Oncology

Breast Cancer Gene-Expression Miner v4.5
(bc-GenExMiner v4.5)

bc-GenExMiner logo


Targeted prognostic analysis Tutorial

Enter input gene and choose the following options:

  • GENE EXPRESSION DATA Open
  • First, choose your gene expression data. Information about cohorts : microarrays, Affymetrix®, METABRIC, TCGA or SCAN-B (aka GSE81540 = GSE81538 + GSE96058)

    Then fill the textbox with actualised* gene symbol or Affymetrix® probeset ID.

    *: see actualised web databases (e.g.: GeneCards, Ensembl, HGNC, NCBI Gene...)

    @: the probesets followed by "@" are described as references for subtyping ER, PR and HER2 status by means of genomics data. See Kenn et al..

  • DNA microarrays
  • (n = 10 001)
  • (n = 4 904)
  • (n = 1 980)
  • RNA-seq
  • (n = 4 712)
  • (n = 1 034)
  • (n = 3 678)

  • POPULATION Open
  • Choose the characteristics (nodal, oestrogen and progesterone receptor status) of the cohorts to be explored.  "All" status includes patients with any status.

    Choose the kind of event used for survival analyses:
    • "distant metastasis-free survival" (DMFS): first pejorative event represented by distant relapse.
    • "overall survival" (OS): first pejorative event represented by death.
    • "disease-free survival" (DFS): first pejorative event represented by any relapse or death.
    These datasets are retrieved from published annotated genomic data.

  • Nodal status:
  • Oestrogen receptor status:
  • Progesterone receptor status:
  • Event status:
  • DISCRETISATION Open
  • Choose one of the radio button to select which splitting method you want to explore for prognostic study:
    • "mediane": 2 groups split at 50%,
    • "tertile": 3 groups split at 33%,
    • "quartile": 4 groups split at 25%,
    • "optimal": 2 groups split at the best cut-off (more details)
    • "custom percentile": 2 groups split at the user cut-off.

  • Splitting criterion:


  • Legend Open

     DFS:disease-free survival
     DMFS:distant metastasis-free survival
     OS:overall survival



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