47 results about "Expression Signature" patented technology

Methods and compositions are provided for the identification of expression signatures in ER+ breast cancer cases, where the signatures correlate with responsiveness, or lack thereof, to tamoxifen treatment. The signature profiles are identified based upon sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for predicting the efficacy of treating a subject with ER+ breast cancer with tamoxifen. Additional methods and compositions are provided for predicting tamoxifen responsiveness in cases of ER+ breast cancer by use of three biomarkers. Two biomarkers display increased expression correlated with tamoxifen response while the third biomarker displays decreased expression correlated with tamoxifen response.

Provided herein are methods and compositions for the diagnosis, prognosis and treatment of Hepatocellular carcinoma (HCC). Also provided are methods of identifying anti-HCC agents.

Described herein are expression signatures of genes and coordinately expressed gene networks associated with skin aging, methods used to determine the physiological age of skin, and methods used to screen for compounds used to reduce the visible signs of aging of the skin.

The present invention relates compositions and methods for microRNA (miRNA) expression profiling of colorectal cancer. In particular, the invention relates to a diagnostic kit of molecular markers for identifying one or more mammalian target cells exhibiting or having a predisposition to develop colorectal cancer, the kit comprising a plurality of nucleic acid molecules, each nucleic acid molecule encoding a miRNA sequence, wherein one or more of the plurality of nucleic acid molecules are differentially expressed in the target cells and in one or more control cells, and wherein the one or more differentially expressed nucleic acid molecules together represent a nucleic acid expression signature that is indicative for the presence of or the predisposition to develop colorectal cancer. The invention further relates to corresponding methods using such nucleic acid expression signatures for identifying one or more mammalian target cells exhibiting or having a predisposition to develop colorectal cancer as well as for preventing or treating such a condition. Finally, the invention is directed to a pharmaceutical composition for the prevention and/or treatment of colorectal cancer.

The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.

Methods and compositions are provided for the identification of expression signatures in ER+ breast cancer cases, where the signatures correlate with responsiveness, or lack thereof, to treatment with tamoxifen or another antiestrogen agent against breast cancer The signature profiles are identified based upon sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for predicting the efficacy of treating a subject with breast cancer with tamoxifen or another antiestrogen agent against breast cancer. Additional methods and compositions are provided for predicting responsiveness to tamoxifen or another antiestrogen agent against breast cancer in cases of breast cancer by use of three biomarkers. Two biomarkers display increased expression correlated with tamoxifen response while the third biomarker displays decreased expression correlated with tamoxifen response.

The present invention relates to, for example, (1) a novel method for identification of clinically useful serum and/or tumor biomarkers and expression signatures that can be used for detection, prognostication and guidance for the treatment of patients with hepatocellular carcinoma (HCC); and (2) discovery of an expression signature that can be used to monitor and/or study the efficacy of a chemotherapeutic regimen, such as, for example, sorafenib (solely or in combination with other agents). The present invention also provides a method for predicting clinical outcomes, such as, for example, overall survival (OS), time to progression (TTP) and/or likelihood of benefitting from a chemotherapeutic treatment (i.e., sorafenib) in HCC patients based on the analysis of such biomarkers.

Methods and compositions are provided for the identification of expression signatures in ER+ breast cancer cases, where the signatures correlate with responsiveness, or lack thereof, to treatment with tamoxifen or another antiestrogen agent against breast cancer The signature profiles are identified based upon sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for predicting the efficacy of treating a subject with breast cancer with tamoxifen or another antiestrogen agent against breast cancer. Additional methods and compositions are provided for predicting responsiveness to tamoxifen or another antiestrogen agent against breast cancer in cases of breast cancer by use of multiple biomarkers. Two biomarkers display increased expression correlated with tamoxifen response while two other biomarkers display decreased expression correlated with tamoxifen response.

The present invention concerns in vitro methods for predicting or monitoring whether a patient affected by a cancer is responsive to a treatment with a molecule of the taxoid family based on a resistance expression signature, kits for performing the methods, and methods for screening or identifying a compound suitable for improving the treatment of a cancer with a molecule of the taxoid family or for reducing the resistance development during the treatment of a cancer with the molecule of the taxoid family.

The present invention provides a process for classification of specific cancers and tumors origin through the analysis of the expression patterns of specific microRNAs and nucleic acid molecules relating thereto. Classification according to a microRNA expression framework allows optimization of treatment, and determination of specific therapy.

The present invention relates to a set of biomarkers, microarrays that provide for detection thereof, an expression signature comprising 16 genes or a subset thereof, and the use thereof in determining the regulation status of IL-6/STAT3 signaling pathway in a cell sample or subject, as well as compositions for the detection thereof. The regulation status of IL-6/STAT3 signaling pathway in a cell sample or subject may be assayed based on the level of expression of one or more of these genes. The methods and compositions provided herein may be used to evaluate IL-6/STAT3 pathway regulation status in a sample; classify a cell sample as having a deregulated or regulated IL-6/STAT3 signaling pathway; determine whether an agent modulates the IL-6/STAT3 signaling pathway; predict the response of a subject to an agent that modulates the IL-6/STAT3 signaling pathway; assign treatment to a subject; and/or evaluate the pharmacodynamic effects of therapies designed to regulate IL-6/STAT3 pathway signaling. Expression of the biomarkers is preferably determined by RT-PCR using SYBR Green methods, and the expression data analyzed and compared to a control sample by use of the random forest method.

The present invention comprises a treatment approach based on gene set-expression signatures that systematically connects a sample to a profile from a reference database to extrapolate the most effective therapeutic agent. Further disclosed are methods to optimize combination treatments.

Methods, compositions, and kits are provided for providing a diagnosis, a prognosis, or a prediction of responsiveness to a therapy for a patient with a hematological malignancy. In practicing the subject methods, the expression level of at least one leukemia stem cell (LSC) genes in a tissue sample is assayed to obtain an LSC expression representation. The LSC expression representation is then employed to determine if an individual has a hematological malignancy, to provide a prognosis to a patient with a hematological malignancy, and/or to provide a prediction of the responsiveness of a patient with a hematological malignancy to a therapy. Also provided are screening methods for identifying novel therapies for patients with a hematological malignancy, and compositions and kits for use in these screening methods.

A gene expression signature of colon cancer, microarrays including them and methods of using the colon gene expression signature are provided. The gene expression signature is especially useful for determining the prognosis of a patient diagnosed with colon cancer, such as stage II colon cancer. The gene signature described herein is also useful for determining effectiveness of surgical resection with or without adjuvant chemotherapy, and determining possibility of cancer recurrence in patients with colon cancer.

A system and method for mild cognitive impairment (MCI) class discovery using gene expression data are provided. The method comprises: acquiring gene expression data of a patient having MCI; and identifying a putative MCI subtype based on an expression signature in the gene expression data, wherein the putative MCI subtype is identified by using a boosting tree.

An immune gene expression signature is associated with clinical features in tumor samples and can be used to predict the immunological state of a tumor and/or sensitivity of the tumor to immune therapy.