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165 results about "Overall survival" patented technology

Overall Survival (OS) Overview. Overall survival, or OS, or sometimes just “survival” is the percentage of people in a group who are alive after a length of time—usually a number of years.

Methods and Kits for the Prediction of Therapeutic Success, Recurrence Free and Overall Survival in Cancer Therapies

The invention provides novel compositions, methods and uses, for the prediction, diagnosis, prognosis, prevention and treatment of malignant neoplasia and cancer. The invention further relates to genes that are differentially expressed in tissue of cancer patients versus those of normal “healthy” tissue. Differentially expressed genes for the identification of patients which are likely to respond to chemotherapy are also provided. The present invention relates to methods for prognosis the prediction of therapeutic success in cancer therapy. In a preferred embodiment of the invention it relates to methods for prediction of therapeutic success of combinations of signal transduction inhibitors, therapeutic antibodies, radio- and chemotherapy. The methods of the invention are based on determination of expression levels of 48 human genes which are differentially expressed prior to the onset of anti-cancer chemotherapy. The methods and compositions of the invention are most useful in the investigation of advanced colorectal cancer, but are useful in the investigation of other types of cancer and therapies as well.
Owner:SIEMENS HEALTHCARE DIAGNOSTICS INC

Methods of determining acute myeloid leukemia response to treatment with farnesyltransferase

We analyzed bone marrow from 67 patients from a phase 2 study of farnesyltransferase inhibition with tipifarnib (R115777, ZARNESTRA®), in older adults with previously untreated, poor-risk acute myeloid leukemia (AML) for N-Ras mutations, global gene expression, and/or quantitative PCR (qPCR) of specific genes. Microarray profiling identified a two-gene expression ratio (RASGRP1:APTX) which provided the greatest accuracy for predicting response to tipifarnib. We demonstrated that this classifier could predict response to tipifarnib in an independent set of 54 samples from relapsed or refractory AML, with a NPV and PPV of 92% and 28%, respectively (odds ratio of 4.4). Therefore, in both newly diagnosed and relapsed or refractory AML, this classifier improves the overall response rate by approximately 50% while maintaining a high NPV, and significantly improves patient overall survival. The two-gene classifier was also validated by qPCR in thirty AML samples from the same clinical study demonstrating a negative predictive value (NPV) and positive predictive value (PPV) of 81% and 50%, respectively (odds ratio of 4.3). These data indicate that a simple two-gene expression assay may have utility in diagnosing a population of AML patients who are more likely to respond to tipifarnib.
Owner:JANSSEN DIAGNOSTICS LLC

Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time

ActiveCN112011616APromote the implementation of precision medicineObjective assessment of infiltrationMicrobiological testing/measurementBiostatisticsTNM staging systemMicroarray cgh
The invention relates to an immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time, and belongs to the technical field of biological medicines. The model can be used for evaluating the infiltration degree of immune cells in a tumor in clinical practice by detecting the expression levels of 22 specific immune related genes of ahepatocellular carcinoma patient, so that the model can be used for predicting hepatocellular carcinoma tumor immune infiltration in clinical practice and improve the prediction capability of the liver cancer immunotherapy response. The model can be used for judging the postoperative overall survival risk of a patient and guiding the formulation of a postoperative treatment strategy, and the corresponding microarray chip kit can realize the standardization and convenience of detection. Meanwhile, the immune gene prognosis model provided by the invention can increase the prediction accuracy andthe clinical net income of a hepatocellular carcinoma TNM staging system on the total survival time of three years and five years after operation. As a molecular marker for objectively and accuratelyevaluating the tumor immune state and poor prognosis risk of hepatocellular carcinoma, the model can realize accurate implementation of hepatocellular carcinoma immunotherapy and accurate prognosis prediction.
Owner:上海顿慧医疗科技发展有限公司

Identification and Treatment of Aggressive Lung Cancer Tumors

InactiveUS20110318336A1BiocidePeptide librariesAbnormal tissue growthNode negative
This invention relates to the identification and treatment of aggressive lung cancer tumors in patients. More particularly, it provides a method of identifying patients with non-small cell lung carcinoma (NSCLC) who have an aggressive node-negative (N0) tumor and a likelihood of a poor overall survival. The method comprises the step of determining if one or more of certain identified proteins are activated in tumor cells obtained from the patient's tumor, wherein the activation of one or more of the proteins indicates that the patient has an aggressive N0 tumor and is likely to have a poor overall-survival. The invention also provides a method for selecting a treatment for an NSCLC patient with an N0 tumor and a method for treating such patients. It further provides a kit for identifying an NSCLC patient with an aggressive N0 tumor and a likelihood of a poor overall survival and a pharmaceutical composition for treating such patients.
Owner:INST SUPERIORE DI SANITA +1

Methods of prognosis

InactiveUS20110039284A1Raise the possibilityDisease diagnosisBiological testingMacrophage Inhibitory Cytokine 1Overall survival
The invention relates to the field of medical prognostics. In particular, the invention relates to methods for predicting prostate cancer progression and overall survival prognosis in a subject involving the detection of elevated amounts of macrophage inhibitory cytokine-1 (MIC-1) in a test body sample such as serum.
Owner:ST VINCENTS HOSPITAL SYDNEY

Biomarker combination for molecular typing and/or prognosis prediction of muscle-invasive bladder cancer and application of biomarker combination

PendingCN109797221AMeet analysis needsEffectively assess the risk of adverse prognosisMicrobiological testing/measurementHybridisationGAS6Screening method
The invention relates to a biomarker combination for molecular typing and / or prognosis prediction of the muscle-invasive bladder cancer, and a screening method and application thereof. The biomarker combination comprises the following genes: FGF10, TP53INP1, DDR2, MYC, CDC73, IGF1, PLA2G1B, SKI, FN1, EGFR, PPARG, PDGFRA, PDGFD, GAS6, PDGFC, FNTB and CCNB1. Through non-negative matrix factorizationclustering analysis based on transcription data of the biomarker combination, the muscle-invasive bladder cancer can be classified to respectively correspond to different expression characteristic spectrums. The classification corresponds to significantly different overall survival statuses, thus being used for survival prognosis assessment. The transcription data analysis method adopted has theadvantages that the number of biomarker combinations is small, the analysis steps are simple, the requirements of large sample analysis are met, the requirements for the calculation ability are low, and the method is applicable to standardized transcription data; the transcription data can be a transcriptomic data sub set or a set of genetic transcription data for individual detection.
Owner:SHANGHAI TENTH PEOPLES HOSPITAL

Molecular marker LncRNA DANCR for diagnosing and treating bladder cancer and application thereof

The invention discloses a molecular marker for diagnosing and treating the bladder cancer, namely LncRNA DANCR, and also discloses application of the molecular marker to screening or preparation of reagents used for diagnosing the bladder cancer diagnosing, bladder cancer lymphatic metastasis, bladder cancer prognosis relapse or bladder cancer clinical stages and application of the molecular marker to screening or preparation of drugs used for treating the bladder cancer. It is found that the LncRNA DANCR has high expression in bladder cancer cases with lymphatic metastasis, has negative correlation with overall survival prognosis of a patient and is an independent indicator for diagnosing the bladder cancer and judging bladder cancer development and survival prognosis; silencing of the LncRNA DANCR can restrain in-vitro proliferation, cell migration and invasion and in-vivo tumor formation and lymphatic metastasis of bladder cancer cells. It is verified that the LncRNA DANCR is an important cancerigenic factor of the bladder cancer for the first time, and can be used as a molecular marker for bladder cancer prognosis diagnosis and a new target spot for treatment.
Owner:SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV

Treatment selection for lung cancer patients using mass spectrum of blood-based sample

A test for predicting whether a non-small-cell lung cancer patient is more likely to benefit from an EGFR-I as compared to chemotherapy uses a computer-implemented classifier operating on a mass spectrum of a blood-based sample obtained from the patient. The classifier makes use of a training set which includes mass spectral data from blood-based samples of other cancer patients who are members of a class of patients predicted to have overall survival benefit on EGFRI-Is, e.g., those patients testing VS Good under the test described in U.S. Pat. No.7,736,905. The class-labeled group is further subdivided into two subsets, i.e., those patients which exhibited early (class label 'early') and late (class label 'late') progression of disease after administration of the EGFR-I in treatment of cancer.
Owner:BIODESIX
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