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US 2014/0212415 A1Published application
Hypoxia-related gene signatures for cancer classification
AssigneeMyriad Genetics, Inc.
InventorsAlexander Gutin, Srikanth Jammulapati, Susanne Wagner, Julia Reid, Darl Flake
Life of this patent
Estimating the term…
Abstract
Biomarkers, particularly hypoxia-related genes, and methods using the biomarkers for molecular classification of disease are provided.
Claims21
1-50. (canceled)
A method for prognosing lung cancer, comprising:
- (1) determining in a lung cancer sample the expression levels of a plurality of biomarkers comprising at least three test biomarkers selected from:
- ADM, STC1, ALDOC, HIG2, ENO1, ERO1L, IL8, VEGFA, IGFBP3, SLC2A1, GPI, NDRG1, ANGTPL4, P4HA1, ANGPT2, and PGK1;
- (2) generating a test value by (a) weighting the determined expression levels of each biomarker in said plurality of biomarkers with a predefined coefficient, and (b) combining the weighted expressions to provide the test value, wherein the combined weight given to said at least three test biomarkers is at least 40% of the total weight given to the expression of all biomarkers in said plurality of biomarkers;
- and
- (3)(a) diagnosing a test patient in whose sample said test value exceeds a reference value as having a lower likelihood of progression-free survival or a greater likelihood of disease progression or recurrence relative to a reference lung cancer patient with a test value equal to or lower than said reference value;
- or (b) diagnosing a test patient in whose sample said test value does not exceed a reference value as having a greater likelihood of progression-free survival or a lower likelihood of disease progression or recurrence relative to a reference lung cancer patient with a test value greater than said reference value.
3 more elements
A method of treating lung cancer comprising:
- (1) determining in a lung cancer sample the expression levels of a plurality of biomarkers comprising at least three test biomarkers selected from:
- ADM, STC1, ALDOC, HIG2, ENO1, ERO1L, IL8, VEGFA, IGFBP3, SLC2A1, GPI, NDRG1, ANGTPL4, P4HA1, ANGPT2, and PGK1;
- (2) generating a test value by (a) weighting the determined expression levels of each biomarker in said plurality of biomarkers with a predefined coefficient, and (b) combining the weighted expressions to provide the test value, wherein the combined weight given to said at least three test biomarkers is at least 40% of the total weight given to the expression of all biomarkers in said plurality of biomarkers;
- and
- (3)(a) administering an aggressive treatment to a test patient in whose sample said test value exceeds a reference value;
- or (b) administering a non-aggressive treatment to a test patient in whose sample said test value does not exceed a reference value.
3 more elements
A system for prognosing lung cancer, comprising:
- (a) a sample analyzer for quantifying in a lung cancer sample expression levels of a plurality of biomarkers comprising at least three test biomarkers selected from:
- ADM, STC1, ALDOC, HIG2, ENO1, ERO1L, IL8, VEGFA, IGFBP3, SLC2A1, GPI, NDRG1, ANGTPL4, P4HA1, ANGPT2, and PGK1;
- (b) a first computer program for receiving expression level data quantified in (a) and generating a test value by (a) weighting the determined expression levels of each biomarker in said plurality of biomarkers with a predefined coefficient, and (b) combining the weighted expressions to provide the test value, wherein the combined weight given to said at least three test biomarkers is at least 40% of the total weight given to the expression of all biomarkers in said plurality of biomarkers;
- (c) a second computer program for classifying a test patient in whose sample said test value exceeds a reference value as having a lower likelihood of progression-free survival or a greater likelihood of disease progression or recurrence relative to a reference lung cancer patient with a test value equal to or lower than said reference value;
- or (b) diagnosing a test patient in whose sample said test value does not exceed a reference value as having a greater likelihood of progression-free survival or a lower likelihood of disease progression or recurrence relative to a reference lung cancer patient with a test value greater than said reference value;
- and
- (d) a display module for reporting the classification in (c).
4 more elements
A method for prognosing colorectal cancer, comprising:
- (1) determining in a colorectal cancer sample the expression levels of a plurality of biomarkers comprising at least three test biomarkers selected from:
- ADM, STC1, ALDOC, HIG2, ENO1, ERO1L, IL8, VEGFA, IGFBP3, SLC2A1, GPI, NDRG1, ANGTPL4, P4HA1, ANGPT2, and PGK1;
- (2) generating a test value by (a) weighting the determined expression levels of each biomarker in said plurality of biomarkers with a predefined coefficient, and (b) combining the weighted expressions to provide the test value, wherein the combined weight given to said at least three test biomarkers is at least 40% of the total weight given to the expression of all biomarkers in said plurality of biomarkers;
- and
- (3)(a) diagnosing a test patient in whose sample said test value exceeds a reference value as having a lower likelihood of progression-free survival or a greater likelihood of disease progression or recurrence relative to a reference colorectal cancer patient with a test value equal to or lower than said reference value;
- or (b) diagnosing a test patient in whose sample said test value does not exceed a first reference value as having a greater likelihood of progression-free survival or a lower likelihood of disease progression or recurrence relative to a reference colorectal cancer patient with a test value greater than said reference value.
3 more elements
Dependencies are inferred from the claim text.