150 results about "Gene signature" patented technology

The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles and signatures associated with solid tumor stem cells, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells. More particularly, the present invention identifies two profiles of cancer stem cells useful for the diagnosis, characterization, and treatment of cancer and cancer metastases. The invention also provides a variety of reagents such as stem cell gene signatures for use in the diagnosis and management of cancer.

The systems and methods described herein include microarray systems and methods for manufacturing and printing microarrays to provide gene chips capable of detecting signatures of psychiatric conditions, and as well as gene chips and arrays of sequences for such applications. The invention further provides methods of identifying gene signatures for psychiatric conditions, methods of treating such conditions, and methods of identifying therapeutics for the treatment of neurological and psychiatric conditions.

The present invention provides diagnostic methods for assessing the EMT status of tumor cells, and for predicting the effectiveness of treatment of a cancer patient with an EGFR or IGF-1R kinase inhibitor, utilizing an EMT gene signature index score. The present invention further provides methods for treating patients with cancer that incorporate these methods.

The present invention pertains to specific gene signatures for cancer that are used to predict survival and novel processes for identifying such gene signatures. In one embodiment, gene signatures for human colorectal cancer are identified and outcomes are linked to the specific gene signatures using significance analysis of microarrays (SAM) and support vector machines (SVM) to provide a prognosis/survival classifier.

Gene signatures associated with electroconvulsive therapy (ECT) and/or electroconvulsive seizures (ECS) are disclosed. Such "signatures" are useful, e.g., for diagnosing and treating neuropsychiatric disorders such as major depressive disorder (MDD), bipolar affective disorder (BAD) and psychotic depression. Such methods are therefore also provided here. The invention additionally provides screening methods that use gene signatures of the invention to identify new therapeutic compounds for treating these disorders.

Described herein are gene signatures providing prognostic, diagnostic, treatment and molecular subtype classifications of ovarian cancers through generation of ovarian cancer disease signatures (OCDSs) that account for molecular heterogeneity present in gynecological cancers. An ovarian cancer fixed signature (OCFS) is described which relates to the core programming of disease development, in addition to an ovarian cancer stem cell (OCSC) signature. Development various disease signature, suggests personalized treatment strategies focused on molecular subtypes of gynecological cancers, such as triage tests for patients.

The invention discloses a combined diagnosis marker for predicting small hepatocellular carcinoma relapse. Based on an LASSO Cox regression model, the inventor confirms and establishes a small hepatocellular carcinoma relapse prediction model based on 6 gene signatures (including CD147, IL-7, Ki67, MIF, P97 and PD-L1) through analyzing a large number of cases; the risk ratio, defined by a 6 gene signature classifier, of a high relapse risk crowd to a low relapse risk crowd is 2.721 (95% CI: 1.633-4.532; P is smaller than 0.0001); the analysis of an internal validation group and an external validation group has the same result. The experiment proves that the classifier based on the 6 gene signatures can effectively predict different relapse risks of patients suffering from small hepatocellular carcinoma, the traditional diagnosis accuracy rate, predicted through clinicopathological parameters, of small hepatocellular carcinoma relapse is increased, the relapse risk of AFP-negative patients suffering from small hepatocellular carcinoma can be well judged, and the combined diagnosis marker has potential clinical value in the individualized treatment of small hepatocellular carcinoma.

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.

The present invention relates to a method for diagnosis of different stages of endometrial cancer in an individual. Further, the present invention relates to a method for evaluating the probability of survival for an individual suffering from endometrial carcinoma. In another aspect, the present invention relates to the stratification of therapy regimen of endometrial tumor, ovarian cancer, breast cancer, non-small lung cancer or hormone refractory prostate cancer therapy in an individual or monitoring therapeutic efficacy in an individual suffering from the same based on the expression status of STMN1 gene or protein. Moreover, the present invention relates to a kit for use in any of the above referenced methods comprising a means for determining amplifications and deletions of chromosomal regions 3q26.32 and 12p12.1, determining alterations of the gene expression profile of the genes (gene signature): upregulation of the genes PLEKHK1, ATP10B, NMU, MMP1, ATAD2, NETO2, TNNI3, PHLDA2, OVOL1 and down-regulation of the genes: NDP, KIAA1434, MME, CFH, MOXD1, SLC47A1, RBP1, PDE8B, ASRGL1, ADAMTS19, EFHD1, ABCA5, NPAS3, SCML1, TNXB, ENTPD3, AMY1A, ENPP, RASL11B, PDZK3, or the expression status of the STMN1 gene or protein, respectively. Finally, the present invention provides a method for predicting the response to taxanes in an individual suffering from a disease treated with the taxanes based on the expression status of the STMN1 gene or protein.

Described are mathematical models and method, e.g., computer-implemented methods, for predicting tumor sensitivity to radiation therapy, which can be used, e.g., for selecting a treatment for a subject who has a tumor.

The present disclosure describes baseline and on treatment blood-based gene signature biomarkers that are predictive of tumor sensitivity to therapy with a PD-1 antagonist. The on-treatment biomarkers comprise a PD-L1 gene signature or an interferon gamma gene signature and the baseline gene signature biomarker comprises genes associated with the oxidative phosphorylation pathway. The disclosure also provides methods and kits for testing tumor samples for these biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Infliximab (IFX) is an effective treatment for Crohn's disease (CD) and ulcerative colitis (UC) not responding to standard therapy. Thirty percent to forty percent of patients however do not improve and the response is often incomplete. We identified mucosal gene signatures predictive of response to EFX using high-density oligonucleotide arrays. Eight UC patients and twelve CD patients showed healing. In UC, only one probe set was differentially expressed in responders compared with non-responders, i.e., IL-13R(alpha)2. At PAM analysis, two probe sets, representing IL-13Ralpha2 and IL-I 1, separated IBD responders from non-responders with an overall misclassification error rate of 0.046 (2/43), with 100% sensitivity and 91.3% specificity. The IL-13R(alpha)2 probe set was a top-ranked probe set in all our analyses using both LIMMA and PAM strategies. Our gene array studies of mucosal biopsies identified IL-13R(alpha)2 in IBD as a predictor of response or non-response to IFX.

The present disclosure describes gene signature biomarkers that are useful for identifying cancer patients who are most likely to benefit from treatment with a PD-1 antagonist. The disclosure also provides methods and kits for testing tumor samples for the biomarkers, as well as methods for treating subjects with a PD-1 antagonist based on the test results.

Systems and methods are provided for generating a biological signature such as a genetic signature and using such signature of an individual. The biological signature may be used to verify the identity of the individual. A verified individual may be granted access to a secured location, item, and/or service. Biological signatures may also be used to search or aggregate records for an individual.

The present invention provides methods, systems, and kits for evaluating the sensitivity and/or resistance of tumor specimens to one or a combination of chemotherapeutic agents. Particularly, the invention provides malignant cell gene signatures that are predictive of a tumor's response to candidate chemotherapeutic regimens.

A process to select signature gene by performing statistical analyses on gene datasets of various types of diseases for identifying signature genes for at least one of the diseases followed by categorizing and establishing gene expression table with the signature genes. The signature genes in the gene expression table are tested and verified by applying additional datasets to finalize and confirm the signature genes. The step of performing the statistical analyses on the gene datasets of various types of diseases further comprising a step of performing a total background normalization (TBN) of a relative gene expression (RGE) ratio then carried a two-tail T-test of the RGE ratios between the various diseases. The step of identifying the signature gene further comprising a step of carrying out a false positive elimination (FPE) by identifying differently expressed genes and removing overlapping genes among different diseases from a list of the signature genes

Methods for identifying and treating cancers that are homologous recombination (HR)-repair defective. In some aspects, HR defective cancers are treated with a PARP inhibitor therapy. Methods for sensitizing cancers to a PARP inhibitor therapy are also provided.

The present invention provides markers, marker signatures and molecular targets that correlate with dysfunction of immune cells and are advantageously independent of the immune cell activation status. The present markers, marker signatures and molecular targets provide for new ways to evaluate and modulate immune responses. Therapeutic methods are also provided to treat a patient in need thereof who would benefit from an increased immune response.