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74 results about "Cancer development" patented technology

The development of cancer takes place in a multi-step process. As the cells become more abnormal, they gain new capabilities, such as the ability to release growth factors and digestive enzymes. The cells continue to divide, impacting nearby normal cells, often reducing the function of the affected organ.

Phylogenetic Analysis of Mass Spectrometry or Gene Array Data for the Diagnosis of Physiological Conditions

ActiveUS20070259363A1Facilitates interplatform comparabilityMedical simulationMedical data miningDiseasePotential biomarkers
A universal data-mining platform capable of analyzing mass spectrometry (MS) serum proteomic profiles and/or gene array data to produce biologically meaningful classification; i.e., group together biologically related specimens into clades. This platform utilizes the principles of phylogenetics, such as parsimony, to reveal susceptibility to cancer development (or other physiological or pathophysiological conditions), diagnosis and typing of cancer, identifying stages of cancer, as well as post-treatment evaluation. To place specimens into their corresponding clade(s), the invention utilizes two algorithms: a new data-mining parsing algorithm, and a publicly available phylogenetic algorithm (MIX). By outgroup comparison (i.e., using a normal set as the standard reference), the parsing algorithm identifies under and/or overexpressed gene values or in the case of sera, (i) novel or (ii) vanished MS peaks, and peaks signifying (iii) up or (iv) down regulated proteins, and scores the variations as either derived (do not exit in the outgroup set) or ancestral (exist in the outgroup set); the derived is given a score of “1”, and the ancestral a score of “0”—these are called the polarized values. Furthermore, the shared derived characters that it identifies are potential biomarkers for cancers and other conditions and their subclasses.
Owner:AMRI HAKIMA +2

Kit and method for diagnosis of lung cancer in chronic obstructive pulmonary disease (COPD) patients through meta-genome analysis

The invention relates to a kit and method for the diagnosis of lung cancer in chronic obstructive pulmonary disease (COPD) patients through meta-genome analysis. The invention provides a kit for providing diagnosis information of lung cancer through bacteria meta-genome analysis. More specifically, the invention provides a kit for predicting the risk of lung cancer or diagnosing lung cancer basedon the increasing or decreasing of extracellular vesicles of specific bacteria of a sample of a tested patient through bacterial meta-genome analysis. The extracellular vesicles (EV) secreted from thebacteria present in an environment can be absorbed into the body and directly affect cancer development. Lung cancer is difficult to diagnose before symptoms occur, thereby making effective treatmentdifficult. According to the present invention, the meta-genomes of the extracellular vesicles (EV) present in the human-derived sample are analyzed to predict the risk of lung cancer, thereby predicting and diagnosing the risk groups of the lung cancer to prevent or delay the incidence of lung cancer through appropriate management. The present invention also enables early prediction even after the incidence to lower the incidence rate of the lung cancer and enhance the treatment effects.
Owner:MD HEALTHCARE INC

Tissue chip for detecting backbone metastatic carcinoma prognosis related molecule sign

The invention relates to the biotechnology area, and the spinal metastatic cancer prognosis judgment is the key to correct determine clinical development strategy, and in the invention, for the present spinal metastatic cancer related molecular biology prognosis judgment evaluation lacking problem, it constructs the spinal metastatic cancer prognosis related molecular marker tissue chip. By screening the clinical data and determining the random data spinal metastatic cancer pathological wax block to produce the spinal metastatic cancer tissue chip; selecting a variety of molecular markers and tissue chips for immunohistochemistry or in-situ hybridization, and through image analysis and quantitative measurement to analyze the expression instance of each molecular marker in the spinal metastatic cancer pathological specimens, and to analyze the relationship between the molecular markers expression and the patients prognosis, and screening the molecular markers which are closely related to the spinal metastatic cancer prognosis. The tissue chip provides a high-throughput, large sample, rapid detection tool for screening the spinal metastatic cancer prognostic related molecular markers, and provides a theoretical basis for the rational determination of the spinal metastatic cancer development strategies.
Owner:SECOND MILITARY MEDICAL UNIV OF THE PEOPLES LIBERATION ARMY
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