Classification of patients having diffuse large B-cell lymphoma based upon gene expression
First Claim
Patent Images
1. A method for classifying a patient having diffuse large B-cell lymphoma (DLBCL), the method comprising:
- measuring expression of a plurality of genes in a tumor sample from the patient to produce measured expression values;
normalizing said measured expression values to produce normalized expression values;
correlating said normalized expression values to normalized reference expression values obtained for said plurality of genes from DLBCL patients grouped into survival groups; and
classifying the patient into one of said survival groups based upon weighed predictor Z in formula;
Z=(A×
LMO2)+(B×
BCL6)+(C×
FN1)+(D×
CCND2)+(E×
SCYA3)+(F×
BCL2)wherein A is −
0.03, B is −
0.2, C is −
0.2, D is 0.03, E is 0.2, and F is 0.6 and wherein LMO2, BCL6, FN1, CCND2, SCYA3 and BCL2 are log base 2 of normalized expression values for genes LMO2, BCL6, FN1, CCND2, SCYA3 and BCL2, respectively.
3 Assignments
0 Petitions
Accused Products
Abstract
Methods and kits for classifying patients having diffuse large B-cell lymphoma (DLBCL) based upon expression of a plurality of genes are disclosed. Real-time quantitative RT-PCR can be used to measure expression values. Correlating expression values of the plurality of genes in a tumor sample from the patient to reference expression values obtained from DLBCL patients can stratify patients in the classification groups. The methods and kits can be used to predict overall patient survival.
124 Citations
11 Claims
-
1. A method for classifying a patient having diffuse large B-cell lymphoma (DLBCL), the method comprising:
-
measuring expression of a plurality of genes in a tumor sample from the patient to produce measured expression values; normalizing said measured expression values to produce normalized expression values; correlating said normalized expression values to normalized reference expression values obtained for said plurality of genes from DLBCL patients grouped into survival groups; and classifying the patient into one of said survival groups based upon weighed predictor Z in formula;
Z=(A×
LMO2)+(B×
BCL6)+(C×
FN1)+(D×
CCND2)+(E×
SCYA3)+(F×
BCL2)wherein A is −
0.03, B is −
0.2, C is −
0.2, D is 0.03, E is 0.2, and F is 0.6 and wherein LMO2, BCL6, FN1, CCND2, SCYA3 and BCL2 are log base 2 of normalized expression values for genes LMO2, BCL6, FN1, CCND2, SCYA3 and BCL2, respectively. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
Specification