35 results about "Gene profile" patented technology

A method of developing a gene expression profile indicative of the presence or stage of a selected a disease, disorder or genetic pathology in a mammalian subject employs penalized discriminant analysis with recursive feature elimination. A method of diagnosing a cancer in a mammalian subject includes the steps of examining a sample containing the subject's immune cells and detecting a variance in the expression of a statistically significant number of genes, e.g., at least 10 non-tumor genes from those same genes in a characteristic disease or healthy gene expression profile. A significant variance in expression of these genes when compared to a gene expression profile, preferably an average gene expression profile of a normal control, or significant similarities to an average gene profile of subjects with cancer, correlates with a specific type of cancer and/or location of tumor.

The present invention related to methods and kits for evaluating the histology and prognosis of lung cancer by measuring expression levels of specific gene markers. It is based, at least in part, on the discovery of 99 genes that were found to be differentially expressed among lung cancer subtypes, 30 genes which correlate with a high risk, and 12 genes which correlate with a low risk, of cancer death within 12 months.

Gene expression analysis systems are provided for identifying the chemosensitivity gene profile of a cancer cell, the analysis systems comprising a plurality of polynucleotide probes, wherein each of said polynucleotide probes comprises a polynucleotide sequence that is complementary to a target region of a gene that encodes a protein associated with transport of molecules into and out of cells and that is a marker for the sensitivity or resistance of cancer cells to cytotoxic agents.

Rodent gene expression data, in particular, gene expression profiles, are created and used to predict the efficacy of therapeutic agents on human biological conditions. Gene Profile data sets are derived from rodent subject samples and include quantitative, substantially repeatable measures of a distinct amount of RNA or protein constituent(s) in a signature panel selected such that measurement of the constituent(s) enables measurement of a biological condition of interest in both human and rodent subjects. Such profile data sets may be used to predict the therapeutic efficacy of a therapeutic agent in humans.

A gene profiling signature for ovarian tumor endothelial cells is disclosed herein. The gene signature can be used to diagnosis or prognosis an ovarian tumor, identify agents to treat an ovarian tumor, to predict the metastatic potential of an ovarian tumor and to determine the effectiveness of ovarian tumor treatments. Thus, methods are provided for identifying agents that can be used to treat ovarian cancer, for determining the effectiveness of an ovarian tumor treatment, or to diagnose or prognose an ovarian tumor. Methods of treatment are also disclosed which include administering a composition that includes a specific binding agent that specifically binds to one of the disclosed ovarian endothelial cell tumor-associated molecules and inhibits ovarian tumor in the subject.

Based on the discovery of a group of 11 prognostic related gene profiles in serous ovarian cancer and the detection of the expression level of the 11 prognostic related gene profiles in clinical tumorsamples, the prognostic score of a patient is calculated according to the prognostic correlation coefficient of a group of the genes to evaluate the clinical prognosis of ovarian cancer patients andrelated application of the clinical prognosis. The system can assist in evaluating the response of the ovarian cancer patients to treatment interventions, thus whether the patients benefit from chemical or targeted treatments or not is judged, treatment choice is conducted, excessive medical treatment is avoided, and the purpose of personalized treatment is achieved. According to the system and different detection technology platforms, corresponding 11 gene expression measurement kits are designed and developed.

Disclosed herein is a method of identifying a tumor biomarker. In one example, a tumor biomarker is identified by obtaining a peripheral biological fluid sample from a subject with a tumor as well as a tumor sample and an adjacent non-tumor sample from such subject. A protein expression profile is detected in the peripheral biological fluid sample, tumor sample and adjacent non-tumor sample. The protein expression profiles of the peripheral biological fluid sample, tumor sample and adjacent non-tumor sample are then compared, wherein an increase in expression of a specific protein in the tumor sample and peripheral biological fluid sample but not in the adjacent non-tumor sample indicates that the specific protein is a biomarker of the tumor. Also disclosed herein is a gene profiling signature that can be used to diagnosis a subject with renal cell carcinoma (RCC) or to identify agents with therapeutic potential to treat RCC. Thus, methods of diagnosing a subject with RCC are disclosed. Methods are also provided for identifying agents that alter an activity of a RCC biomarker.

A gene profiling signature for predicting ovarian cancer patient survival is disclosed herein. The gene signature can be used to diagnosis or prognosis ovarian cancer, identify agents to treat an ovarian tumor, to predict the metastatic potential of an ovarian tumor and to determine the effectiveness of ovarian tumor treatments. Thus, methods are provided for diagnosing and prognosing an ovarian tumor, such as ovarian cancer, in a subject. Methods are also provided for identifying agents that can be used to treat an ovarian tumor, for determining the effectiveness of an ovarian tumor treatment, or to predict the metastatic potential of an ovarian tumor. Methods of treatment are also disclosed which include administering a composition that includes a specific binding agent that specifically binds to one of the disclosed ovarian survival factor-associated molecules and ovarian tumor in the subject.

A “malignancy-risk” (MR) gene signature score was developed with abundant proliferative genes using principal component analysis. This MR gene signature was shown to be a predictive and prognostic factor of overall survival in early-stage NSCLC. The malignancy-risk signature showed a significant association with OS, with poor survival seen in patients having a higher MR score and better survival seen in patients having a low MR score. As a prognostic factor, the MR gene signature showed a positive correlation with TNM stage, histologic grade, and smoking status. Combination of the MR signature with each clinical parameter often showed the best survival in the low MR group with good clinical outcome. The MR gene profile, tested with a PCA scoring method, discriminated overall survival in lung cancer patients was a predictor independent of pathological staging and other clinical parameters.

The present disclosure provides gene expression profiles that are associated with prostate cancer, including certain gene expression profiles that differentiate between subjects of African and Caucasian descent and other gene expression profiles that are common to subjects of both African and Caucasian descent. The gene expression profiles can be measured at the nucleic acid or protein level and used to stratify prostate cancer based on ethnicity or the severity or aggressiveness of prostate cancer. The gene expression profiles can also be used to identify a subject for prostate cancer treatment. Also provided are kits for diagnosing and prognosing prostate cancer and an array comprising probes for detecting the unique gene expression profiles associated with prostate cancer in subjects of African or Caucasian descent.

Methods and compositions are provided for diagnosing ectopic pregnancy in a mammalian subject by detecting changes in expression of ISM2, ADAM12, PST1, PSG7, PST11, PSG9, PSG2 and other genes identified therein, including combinations thereof. A selected gene, gene transcript or protein/peptide expression product, or profiles or signatures formed by combinations of same, detected in a biological fluid of a subject, enables comparison of the corresponding genes, proteins or profiles from that of a reference or control having a normal intrauterine pregnancy. Detection of characteristic changes in the gene profile or protein expression signature of the subject is correlated with a diagnosis of ectopic pregnancy. Various compositions for use in such diagnosis include PCR primer-probe sets or ligands, labeled or immobilized, which are capable of detecting the changes in expression or translation of these targets.

A combination comprising two or more polynucleotides that are differentially expressed in fat animals compared to lean animals or two or more proteins produced by the expression of such polynucleotides is disclosed. The combination and probes based upon the combination are used for formulating a prognosis that an animal is likely to become fat, developing a diagnosis that an animal is fat, screening substances to determine if they are useful for modulating the amount of adipose tissue on an animal, and detecting the differential expression of one or more genes differentially expressed in fat animals compared to lean animals in a sample. Methods for using class predictor gene profiles to identify fat and lean animals are also disclosed.

About 70% to 80% of breast cancers express estrogen receptor-α (ERα), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size and histological grade, ER status is considered one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. 147 genes and 112 genes with significant P-value and having significant differential expression between ER+ and ER− tumors were identified from the LCM data set and bulk tissue data set, respectively. 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathway may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to characterize and study epithelial tumor cells and to gain an insight into signaling pathways associated with ER.

A mufti-organ gene profiling analysis of the results of an administration to a subject of salmon calcitonin or a parathyroid hormone analogue provides biomarkers of calcitonin treatment efficacy and parathyroid hormone or parathyroid hormone analogue treatment efficacy. Among the biomarkers are the expression profiles of the genes for Y-box binding protein, BMPs, FGFs, IGFs, VEGF, &x3B1;-2-HS glycoprotein (AHSG), OSF, nuclear receptors (steroid/thyroid family) and others. The results obtained support the anabolic effect of salmon calcitonin on bone metabolism.

A gene profiling signature is disclosed herein. The gene signature can predict whether a subject with ovarian cancer will be chemorefractory, chemoresistant or chemosensitive. Thus, methods are disclosed for determining whether a subject with ovarian cancer is sensitive to treatment with a chemotherapeutic agent. Methods are also provided for increasing sensitivity to the chemotherapeutic agent if the presence of differential expression indicates that the ovarian cancer has a decreased sensitivity to chemotherapeutic agent.

Method for producing a cell sensor system for the definition of quality criteria during the production of materials, characterised by the following method steps:

• a) cultivation of first cells of a specific type under standardised culture conditions (control group),
• b) cultivation of second cells of the specific type on/in/between different materials to be tested (test group),
• c) harvesting of the cells,
• d) determination of the gene activities of the cells of the control group and of the cells of the test group,
• e) comparison of the gene activities of the test group with the control group,
• f) identification of the genes for which there is a difference in the gene activities between the control group and the test group,
• g) construction of a microarray using the identified genes with different gene activity as the gene profile, this created microarray being defined as the standard for the specific cell type, and
• h) provision of third cells of the specific cell type as cell sensor.

The invention discloses a characteristic gene expression profile applied to predicting breast cancer reoccurrence of Chinese population and also provides a recurrence index calculation formula and a recurrence prediction judgment standard. The invention further provides a fluorescent quantitative detection kit for the breast cancer characteristic gene profile. A PCR (Polymerase Chain Reaction) amplification primer disclosed by the invention is composed of eight pairs of primers, and the following eight gene correlated expressions can be subjected to combined detection: CCNA2, CCND1, SERP1NE1,SPRR1B, TOP2A, beta-ACTIN, GAPDH and HPRT1. The characteristic gene expression profile disclosed by the invention can be used for guiding individualized treatment of clinical breast cancer and preventing breast cancer reoccurrence.

The invention provides methods for detecting differential gene expression in intestinal gastric tissue in a mammal by comparing the expression of specific genes in an intestinal gastric tissue suspected of being cancerous with that of the corresponding adjacent intestinal gastric tissue or a normal gastric mucosa tissue. The methods can be used in diagnosing or monitoring the progression of intestinal gastric cancer and determining the levels of differentiation of intestinal gastric cancer Systems and kits for methods of the invention are also provided.