Patent classifications
C12Q2600/118
MULTIGENE PROGNOSTIC ASSAY FOR LUNG CANCER
The present invention provides methods for providing a prognosis for lung adenocarcinoma, using a panel of eight molecular markers that are differentially expressed in lung adenocarcinoma.
METHOD OF TREATMENT BASED ON POLYMORPHISMS OF THE KCNQ1 GENE
The invention provides methods for the administration of compounds capable of prolonging a QTc interval and methods for predicting whether an individual is predisposed to such QTc prolongation.
BUFALIN PHOSPHATE PRODRUGS AND METHODS OF USE THEREOF
Bufalin phosphate prodrugs are provided herein, as well as methods for their use as small molecule inhibitors of steroid receptor coactivator (SRC) family proteins. Methods for using bufalin phosphate prodrugs in treating or preventing cancer are also provided herein.
MIRNA-BASED PREDICTIVE MODELS FOR DIAGNOSIS AND PROGNOSIS OF PROSTATE CANCER
The lack of clear predictors of prostate cancer progression leads to subjective decision-making regarding courses of treatment. The identification of new biomarkers that are predictive of recurrence after radical prostatectomy would advance the field of prostate cancer treatment. Disclosed are miRNAs that can be used as molecular biomarkers to detect or predict the progression of prostate cancer and to adjust a treatment plan accordingly. Furthermore, kits are included for the detection of these miRNAs.
METHODS FOR IDENTIFYING, DIAGNOSING, AND PREDICTING SURVIVAL OF LYMPHOMAS
- The United States of America, as represented by he Secretary, Department of Health and Human Servi ,
- Board Of Regents Of The University Of Nebraska ,
- University Of Rochester ,
- Arizona Board Of Regents On Behalf Of The University Of Arizona ,
- Universitat De Barcelona ,
- Fundacio Clinic ,
- Hospital Clinic De Barcelona ,
- Julius-Maximilians-University of Wurzburg ,
- British Columbia Cancer Agency Branch ,
- Oslo University Hospital Hf ,
- Queen Mary and Westfield College, University of London
- Louis M. Staudt ,
- George Wright ,
- Sandeep Dave ,
- Bruce Tan ,
- John I. Powell ,
- Wyndham Wilson ,
- Elaine S. Jaffe ,
- Wing C. Chan ,
- Timothy C. Greiner ,
- Dennis Weisenburger ,
- James Armitage ,
- Kai Fu ,
- Richard I. Fisher ,
- Lisa M. Rimsza ,
- Thomas Miller ,
- Thomas Grogan ,
- Elias Campo Guerri ,
- Silvia M. Bea ,
- Itziar Salaverria ,
- Armando Lopez-Guillermo ,
- Emilio Montserrat ,
- Victor Moreno ,
- Andreas Zetti ,
- German Ott ,
- Hans-Konrad Muller-Hermelink ,
- Andreas Rosenwald ,
- Julie Vose ,
- Randy Gascoyne ,
- Joseph Connors ,
- Erlend B. Smeland ,
- Stein Kvaloy ,
- Harald Holte ,
- Jan Delabie ,
- T. Andrew Lister
Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.
METHODS OF IDENTIFYING PROLIFERATION SIGNATURES FOR COLORECTAL CANCER
This invention relates methods and compositions for identifying Colorectal Cancer (CRC) prognostic transcripts and groups of CRC prognostic transcripts useful in determining the prognosis of cancer in a patient, particularly for gastrointestinal cancer, such as gastric or colorectal cancer. Specifically, this invention relates to CRC cell culture-based methods to identify cell proliferation signatures.
BAMBAM: PARALLEL COMPARATIVE ANALYSIS OF HIGH-THROUGHPUT SEQUENCING DATA
The present invention relates to methods for evaluating and/or predicting the outcome of a clinical condition, such as cancer, metastasis, AIDS, autism, Alzheimer's, and/or Parkinson's disorder. The methods can also be used to monitor and track changes in a patient's DNA and/or RNA during and following a clinical treatment regime. The methods may also be used to evaluate protein and/or metabolite levels that correlate with such clinical conditions. The methods are also of use to ascertain the probability outcome for a patient's particular prognosis.
Methods for the Diagnosis of Pancreatic Cancer
The present invention relates to the diagnosis of pancreatic cancer, in particular to a salivary mi RNA for use in the diagnosis of pancreatic cancer.
METHODS AND BIOMARKERS FOR DETECTION AND TREATMENT OF LANGERHANS CELL HISTIOCYTOSIS
The present invention relates to methods and biomarkers for detection and characterization of Langerhans cell histiocytosis in biological samples (e.g., tissue samples, blood samples, plasma samples, cell samples, serum samples). In particular, the present invention provides compositions and methods for diagnosing a patient as having a Langerhans cell histiocytosis by identifying mutations in the MAP2K1 gene or gene products.
Biomarkers for Inflammatory Bowel Disease
The present invention provides a method of assessing whether an individual is at high risk or low risk of inflammatory bowel disease (IBD) progression by determining the expression level of two or more genes in a whole blood sample. Also provided are methods for treating IBD in an individual who is determined to be at high risk or low risk for IBD progression, and kits for assessing whether an individual is at high risk or low risk for IBD progression. Arrays, and methods of providing arrays, of patient-identified selected gene expression products from a whole blood sample of a patient are also provided.