Gene-based algorithmic cancer prognosis
AssigneeUniversite Libre de Bruxelles
InventorsChristos SOTIRIOU, Mauro Delorenzi, Martine Piccart, Virginie Durbecq
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Abstract
The present invention is related to the methods and systems for prognosis determination in tumor samples, by measuring gene expression in a tumor sample and applying a gene-expression grade index (GGI) or a relapse score (RS) to yield a number c risk score.
Claims21
A diagnostic kit or device comprising nucleotide sequences for measuring gene expression of at least 1 gene selected from the genes of table 3 designated as “up regulated genes in grade 1 tumors” the said 1 gene being 13CDNA73.
A method for the prognosis or diagnosis of cancer in a tumor sample which comprises the step of measuring gene expression of the gene 13CDNA73 in the said tumor sample and correlating the expression of the said gene 13CDNA73 with cancer prognosis or diagnosis.
A method comprising the step of:
- a) measuring gene expression in a tumor sample,
- b) calculating gene-expression grade index (GGI) of the tumor sample by using the formula:
- ∑
- j
- ∈
- G
- 3
-
- x
- j
- -
- ∑
- j
- ∈
- G
- 1
-
- x
- j
- wherein:
- x is the gene expression level of mRNA,
- G1 and G3 are sets of genes up-regulated in HG1 and HG3, respectively, and
- j refers to a probe or probe set, wherein the gene set comprises the gene 13CDNA73.
Dependencies are inferred from the claim text.