Abstract: This invention relates to the identification and use of a subset of transcribed genes, wherein the expression of genes in the subset are able to classify cells among a plurality of classes. Methods for the identification or selection of such subsets are provided, along with computer implemented means for the application of the methods. The invention further provides physical embodiments based on the gene sequences of the subsets as well as methods for the use of the identified sets of gene sequences to classify a cell or tissue sample.
Type:
Application
Filed:
February 16, 2006
Publication date:
August 27, 2009
Applicant:
AviaraDx, Inc.
Inventors:
Xiao-Jun Ma, Xianqun Wang, Mark G. Erlander
Abstract: Methods and compositions for the identification of breast cancer grade signatures are provided. The signature profiles are identified based upon multiple sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for identification of cells as being in one or more particular stages and/or grades of breast cancer.
Type:
Application
Filed:
November 28, 2007
Publication date:
April 9, 2009
Applicants:
AVIARADX, INC., THE GENERAL HOSPITAL CORPORATION
Inventors:
Mark G. Erlander, Xiao-Jun Ma, Dennis C. Sgroi
Abstract: The invention provides methods for the use of gene expression measurements to classify or identify tumors in samples obtained from a subject in a clinical setting, such as in cases of formalin fixed, paraffin embedded (FFPE) samples.
Abstract: This invention provides gene sequence identities and methods for the determination of cellular gene expression and the comparison of expression levels between different gene sequences and between different cells. The gene sequences may be used as reference, normalization, or “housekeeping” gene sequences, the expression of which remains consistent in individual cells, even under different conditions, as well as among cells from different samples and origins.
Abstract: Methods and compositions are provided for the detection of breast cancer based upon the identification of three biomarkers for non-normal breast cells. The biomarkers were identified based upon multiple sampling of reference breast tissue samples from independent cases of breast cancer. Two biomarkers display increased expression in non-normal cells while the third biomarker displays decreased expression in non-normal cells.
Type:
Application
Filed:
May 2, 2006
Publication date:
November 23, 2006
Applicant:
AviaraDx, Inc.
Inventors:
Xiao-Jun Ma, Dennis Sgroi, Mark Erlander
Abstract: Methods and compositions for the identification of breast cancer progression signatures are provided. The signature profiles are identified based upon multiple sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for identification of cells as being in one or more particular stages of breast cancer.
Type:
Application
Filed:
June 26, 2006
Publication date:
October 19, 2006
Applicant:
AviaraDx, Inc.
Inventors:
Mark Erlander, Xia-Jun Ma, Dennis Sgroi
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