Diagnosis of Metastatic Melanoma and Monitoring Indicators of Immunosuppression Through Blood Leukocyte Microarray Analysis
AssigneeBaylor Research Institute
InventorsAnna Karolina Palucka, Jacques F. Banchereau, Damien Chaussabel
Life of this patent
Estimating the term…
Abstract
The present invention includes compositions, systems and methods for the early detection and consistent determination of metastatic melanoma and/or immunosuppression using microarrays by calculating one or more expression vectors from the expression of one or more genes.
Claims26
A method of identifying a subject with melanoma comprising:
- determining a dataset that comprises the level of expression of one or more melanoma expression vectors;
- and
- displaying each of the melanoma expression vectors with a separate identifier.
A computer implemented method for determining the phenotype of a sample comprising:
- obtaining a plurality of sample probe intensities;
- diagnosing melanoma based upon the plurality of sample probe intensities;
- and
- calculating a linear correlation coefficient between the plurality of sample probe intensities and a reference probe intensities;
- and
- accepting the tentative phenotype as the phenotype of the sample if the linear correlation coefficient is greater than a threshold value.
A computer readable medium comprising computer-executable instructions for performing the method for determining the phenotype of a sample comprising:
- obtaining a plurality of sample probe intensities;
- diagnosing melanoma based upon the sample probe intensities for two or more metastatic melanoma expression vectors selected from one or more the genes listed in Tables 9 to 14;
- and
- calculating a linear correlation coefficient between the sample probe intensities and a reference probe intensity;
- and
- accepting the tentative phenotype as the phenotype of the sample if the linear correlation coefficient is greater than a threshold value.
A method of identifying a subject with immunosuppression associated with transplants comprising:
- determining the level of expression of one or more immunosuppression expression vectors;
- and
- displaying each of the melanoma expression vectors with a separate identifier.
A computer implemented method for determining the propensity for immunosuppression in a sample comprising:
- obtaining a plurality of sample probe intensities;
- diagnosing immunosuppression based upon the sample probe intensities;
- and
- calculating linear correlation coefficient between the sample probe intensities and reference probe intensities;
- and
- accepting the tentative phenotype as the phenotype of the sample if the linear correlation coefficient is greater than a threshold value.
A microarray for identifying a human subject with melanoma comprising:
- disposing four or more genes on a substrate selected from the group consisting of six or more genes selected from Table 2, Table 8, Table 9, Table 12 or a combination thereof.
A microarray for identifying a human subject predisposed to immunosuppression comprising:
- disposing four or more genes on a substrate selected from the group consisting of six or more genes selected from Table 10, Table 11, Table 13 or a combination thereof.
A method for displaying transcriptome vector data comprising:
- separating one or more genes into one or more modules to visually display an aggregate gene expression vector value for each of the modules;
- and
- displaying the aggregate gene expression vector value for overexpression, underexpression or equal expression of the aggregate gene expression vector value in each module.
Dependencies are inferred from the claim text.