61 results about "Cancer related genes" patented technology

This invention is related to a method for the detection of early or pre-cancer using DNA isolated from blood and body fluids. This invention provides an improved methylation-based PCR assay, a panel of methylated-based cancer-related gene markers for the detection of general cancer and a panel of demethylation-based tissue- or cell-specific gene markers for discriminating different type of cancer detected from blood samples. This method couples a sequential cancer-related gene marker detection and tissue or cell-specific gene marker assay and is particularly useful as a simultaneous screening test for following type of cancer: lung, breast, ovarian, colon, stomach, prostatic, pancreatic and liver cancer.

The present invention discloses a cancer-related genes finding method by using miRNA expression data, based on a pan-cancer program PanCancer under The Cancer Genome Atlas (TCGA), and uses statistical analysis and a machine learning algorithm to carry out analysis and processing on the gene expression data, and to identify complex diseases related genes. The method comprises: sorting out sample data; carrying out statistical analysis on the miRNA expression data; sorting miRNA in order of an average change rate; selecting a target gene; extracting a corresponding disease sample and normal sample; and using a Relief algorithm to sort genes in the extracted miRNA sample. The method disclosed by the present invention can find a plurality of risk genes related to cancer and other complex diseases, and has important significance to a biological target therapy, biomedical research, pathogenesis explanation, risk prediction, and the like.

This invention is in the field of cancer-related genes. Specifically it relates to methods for detecting cancer or the likelihood of developing cancer based on the presence or absence of the SEM A4D gene or proteins encoded by this gene. The invention also provides methods and molecules for upregulating or downregulating the SEMA4D gene.

Methods of using a transposon as an insertional mutagen are provided. Also provided is a transgenic animal that includes polynucleotides encoding a transposon and transposase that can be used to identify genomic sequences. The methods and transgenic animals may be used to detect cancer-related genes by identifying common insertion sites in tumor cells.

The invention discloses a detection primer for methylation degree of related genes of cervical cancer, a probe, a kit and an application thereof. The invention finds that the methylation degree of promoter zones of four genes, namely, PAX1, FAM19A4, PHACTR3 and DAPK in cervical tissue is obviously related to the cervical cancer; the detection primer can be used as a biomarker for assisting in cervical cancer diagnosis; a methylation probe and a non-methylation probe are designed, so that the influence of non-methylation DNA is avoided and the result is more reliable. Compared with the conventional cervical cancer diagnostic method, the method provided by the invention has the advantages of high speed, high sensitivity, high specificity, and the like, can timely diagnose human cervical carcinoma in early stage, can early accurate diagnose the cervical cancer and can avoid the waste of medical resources.

The invention discloses a high throughput sequencing method for detecting genes of multiple mutant types and applications thereof, and belongs to the field of gene detection. By searching database, variation sites of genes for a cancer target treatment, chemotherapy drug resistant genes, and chemotherapy drug sensitive genes, 100 bp of downstream of the variation sites, and 100 bp of upstream of the variation sites are taken as a target section; a capture probe matched with the target section is synthesized, the target area of DNA of a sample is captured, a high throughput sequencing library is established; then high throughput sequencing is carried out to obtain the sequence of a target section; and the results of cancer related gene mutation, insertion mutation, delete mutation, mutationof copy number, and gene fusion mutation can be obtained. The provided method can detect multiple kinds of mutations of 105 cancer related genes at a time and has the characteristics of high capturing efficiency and good uniformity.

The invention discloses a method and a system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of the rectal cancer related genes, and an application. Based on the public data resources, open big data resources and diversified bioinformatics analysis means are reasonably used for performing analysis processing on mRNA expression data, and important genes related to complex diseases and functions of the important genes are identified. The method comprises the steps of sample data downloading and management; gene expression data analysis; difference expression gene screening; and gene function analysis and protein interaction analysis. According to the method and the system, the problems of weakness in integrating existing network resources, unfamiliarity with mRNA related most common databases and frontal analysis methods, incapability of independently finishing mRNA expression spectrum related bioinformatics analysis and the like can be solved; a plurality of risk pathways and genes related to the complex diseases such as the rectal cancer and the like can be discovered; and the method and the system are of important significance for biological targeted treatment of the complex diseases, biological drug research and development, pathogenesis explanation and risk prediction.

The invention discloses a gene characteristic extraction method based on manifold learning and a closed loop deep convolutional dual-network model. The method comprises the following steps: 1, coarse extraction of a cancer-related gene characteristic based on manifold learning; 2, fine extraction of a gene characteristic based on a closed loop deep convolutional dual-network structure, wherein the process of the fine extraction is as follows: by adopting a dual-network structure consisting of a forward convolutional neural network and a backward convolutional neural network, performing deep abstraction on gene expression data through the characteristic extraction capacity of the convolutional neural networks, and finally projecting key characteristics, wherein the backward convolutional neural network realizes inverse projection of the key characteristics. The invention provides the gene characteristic extraction method based on manifold learning and the closed loop deep convolutional dual-network model, which can retain the gene characteristic to the maximum extent and realize fast dimension reduction.

Provided herein are methods for assessing cancer, comprising analysis of sequence data from a set of cancer-related genes in a tumor sample from a subject, followed by monitoring of a subset of the set in circulating tumor-associated DNA in a fluid sample from the subject. Also provided are kits and systems for practicing any of them methods of the invention.

The present invention addresses the problem of providing malignant stem cells that can be grown in vitro and are useful in cancer therapy research and drug discovery research for cancer therapy, a method for producing same, cancer cells induced from the cells, and use for the cells. Provided are induced malignant stem cells that can be grown in vitro, the induced malignant stem cells being characterized in (1) having at least one type of abnormality selected from among (a) abnormal methylation (hypermethylation or hypomethylation) of a cancer suppressor gene or cancer-related gene region in the endogenous genome DNA, (b) somatic mutation of a cancer suppressor gene in the endogenous genome DNA or somatic mutation of an endogenous cancer-related gene, (c) abnormal expression (increased expression or decreased / lost expression); of an endogenous cancer gene or endogenous cancer suppressor gene, (d) abnormal expression (increased expression or decreased / lost expression) of non-coding RNA such as endogenous cancer-related micro RNA, (e) abnormal expression (increased expression or decreased / lost expression) of an endogenous cancer-related protein, (f) endogenous cancer-related metabolism abnormality (hypermetabolism or hypometabolism), or (g) abnormal endogenous cancer-related carbohydrate; and (2) expressing the POU5F1 gene, NANOG gene, SOX2 gene, and ZFP42 gene.

The invention discloses a targeted capturing and sequencing kit for 33 lung cancer-related genes. The kit can be used for high-throughput detection on multiple sites of the 33 lung cancer-related genes simultaneously. The detection efficiency can be significantly improved, and disadvantages of high price, long time consumption, complicated operation and the like of the traditional single-gene detection method are changed. The invention further discloses an application of the targeted capturing and sequencing kit for the 33 lung cancer-related genes in analysis of the 33 lung cancer-related genes based on an Ion Proton next-generation sequencing platform.

Disclosed are inducible cancer stem cells which are capable of in vitro self-replication and which are useful in research into cancer treatment and cancer-related drug development. Also disclosed are a production method for the above cells, cancer cells induced from the above stem cells, and a practical application of the cells. The disclosed inducible cancer stem cells which are capable of in vitro self-replication are characterised by satisfying requirements (1) and (2): (1) expressing six genes (POU5F1 gene, NANOG gene, SOX2 gene, ZFP42 gene, LIN28 gene, and TERT gene) selected from among a specified gene group; (2) (a) having an abnormality which is either the modification of an endogenous cancer suppression gene, or (b) the up-regulation of an endogenous cancer related gene.

The invention discloses a lung cancer related gene mutation detection method, primer and reagent based on a high-flux sequencing platform, which are used for detecting 50 mutant sites of four lung cancer related genes of EGFR, KRAS, BRAF and PIK3CA. The detection method comprises the steps of sample DNA (deoxyribonucleic acid) extraction, multiplex PCR (polymerase chain reaction) target segment enrichment, primer elimination, linker connection, library amplification, library detection, high-flux sequencing and the like. According to the invention, the library building cost is lowered, and the possibility of mutation introduction from PCR amplification is reduced, so that the sequencing result is more accurate, and the detection flux and detection sensitivity are improved; and meanwhile, reference can be provided for molecular diagnosis and individualized medication of lung cancer.

The invention discloses a whole genome screening method for screening relative BPDE oncogenes and comprises the steps that: (1) genome DNA is extracted from normal lung tissue; (2) AFLP DNA fragment is prepared; (3) immunomagnetic of AFLP DNA fragment interacting with BPDE is enriched and separated; (4) AFLP PCR is increased; (5) denatured polyacrylamide gel electrophoresis and silver stain visualization are done to selective PCR amplification products of AFLP; (6) differential fragment is recycled, amplified, cloned and tested for sequence and homologous similarity and analysis are done. The whole genome screening method for screening relative BPDE oncogenes of the invention is the high effective and specific method and more BPDE susceptible oncogenes are screened in the whole genome level, which provides a basis for stating BPDE carcinogenic molecular mechanism.

This invention is in the field of cancer-associated genes. Specifically it relates to methods for detecting cancer or the likelihood of developing cancer based on the presence or absence of expression of a PRLR gene or protein. The invention also provides methods and molecules for upregulating or downregulating PRLR gene expression and PRLR protein activity.

The invention provides a method and a kit for high-sensitivity detection of cancer related gene mutation. A tag primer group is designed for target gene, primers respectively undergo two-step amplification, and a next generation sequencing process is carried out. The method and the kit effectively eliminate false positive low-frequency mutation, and a detection result of the method and the kit has high sensitivity and high specificity.

The invention relates to a heuristic breadth-first searching method for cancer-related genes. According to the method, appearance frequencies of genes in a selected gene subset are used for measuring the genes, and genes with higher appearance frequency are considered as the most important cancer-related genes, on the basis, a classifier is designed and a gene ordering method based on HBSA is established. As proved by study, information gene selection plays an important role in improving the classification performance, and the genes can be probably taken as important tumor clinical diagnosis signs, so discovery of the minimum gene subset with the highest classification performance is a very important research objective. As indicated by experimental results, the heuristic breadth-first searching method can not only obtain favorable generalization performance but also discover important tumor genes. And the relationship of the appearance frequencies of the selected genes and the gene number conforms to power-law distribution. The genes in the gene subset with extremely high classification accuracy are in close relationship with specific tumor subtypes, and even the genes are important genes directly related with the tumor.

The present invention is directed to detection and measurement of gene transcripts and their equivalent nucleic acid products in blood. Specifically provided is analysis performed on a drop of blood for detecting, diagnosing and monitoring diseases using gene-specific and / or tissue-specific primers. The present invention also describes methods by which delineation of the sequence and / or quantitation of the expression levels of disease-specific genes allows for an immediate and accurate diagnostic / prognostic test for disease or to assess the effect of a particular treatment regimen.

This invention is in the field of cancer-related genes. Specifically it relates to methods for detecting cancer or the likelihood of developing cancer based on the presence or absence of the ADAM10 gene or proteins encoded by this gene. The invention also provides methods and molecules for upregulating or downregulating the ADAM10 gene.

The deletion mutant of gene ANGPTL4 and its application relates to a new cancer-related gene, particularly to the function application of gene ANGPTL4. ANGPTL4-Delt1, the deletion mutant of gene ANGPTL4, losses C-terminal functional domain of fibronectin; deletion mutant ANGPTL4-Delt2 losses the N-terminal signal peptide; deletion mutant ANGPTL4-Delt3 losses the N-terminal signal peptide and curly functional domain. The deletion mutant of gene ANGPTL4 has the effect of inhibiting the growth of liver cancer cells in vitro, and can be used to produce drugs for cancer inhabiting.

The invention discloses a genetic therapy breast cancer drug preparation method based on microfluidic chip, which includes that: the method adopts biological molecules as computation medium to compute the cancer-related gene expression through biochemical reaction; when the result meets the requirement, the anti-cancer drug is automatically synthesized and released in targeted manner; the anti-cancer drug is complete suicide gene; the biological molecules used as computation medium are DNA molecules and / or enzyme; the oncogene related to breast cancer includes: C-erbB-2, EGFR, c-myc, ras, int-2, bcl-2, BAG-1, BCSG-2 and survivin; the cancer suppressor gene related to breast cancer includes P53, nm23, PTEN, Rb, P16, P21, CHEK2, BRCA1 and BRCA2. The invention can synthesize and release anti-cancer drugs for breast cancer on specified conditions; and the anti-cancer drugs are complete suicide gene. The method can be combined with the nanometer technology and micromachining technology to help improve the treatment effect.

It is an objective of the present invention to provide a highly stable and reproducible method for detecting gastric cancer, by finding a novel gastric cancer-related gene and detecting the inactivation of such cancer-related gene. The present invention provides a method for detecting gastric cancer, comprising detecting malignant transformation of a gastric tissue cell by detecting the inactivation of the human VLDLR gene in the gastric tissue cell.

Objective methods for detecting and diagnosing colon cancer are described herein. In one embodiment, the diagnostic method involves determining the expression level of TOM34 that discriminates between colon cancer cells and normal cells. Finally, the present invention provides methods of screening for therapeutic agents useful in the treatment of colon cancer, methods of treating colon cancer and method for vaccinating a subject against colon cancer.

Novel nucleic acids and polypeptides encoded thereby are provided that are highly duplicated and overexpressed in squamous cell carcinomas of a variety of tissues. Antibodies specific for binding the novel polypeptides are also provided. The invention further discloses several assays for gene duplication and overexpression of the novel gene and excessive production of the novel polypeptide in a sample. These assays permit assessing copy number in a sample from a subject, and contribute to the diagnosis, prognosis and development of therapeutic strategy for a pathology such as squamous cell carcinoma in a subject.

The invention relates to an amino acid sequence for detecting a lung cancer marker MYC epitope and application, belongs to the technical field of immunology, and the invention provides the amino acid sequence of an antigen of the lung cancer related gene MYC. A MYC polypeptide antigen is used for detecting a corresponding specific autoantibody in the blood of a patient suffering from a lung cancer, the autoantibody can be used as the lung cancer marker to evaluate the risk of occurrence of the lung cancer and prognostic effect. The antigenic polypeptide and an antibody thereof can be used for preparing a predict reagent for early diagnosis and prediction prognosis of the lung cancer and can be used for developing a target drug for treatment of the lung cancer.

The invention provides a cancer related gene expression difference detection kit and applications thereof. The detection kit comprises a cDNA template, which is obtained through reverse transcription of RNA extracted from human cancer tissues and corresponding para-carcinoma tissues; and housekeeping gene primers, namely a pair of forward primer and reverse primer of housekeeping gene gamma-actin. The invention also discloses a detection method of the detection kit. The detection kit has the characteristics of high sample throughput, quick and accurate detection, and high sensitivity; and can rapidly, accurately, and sensitively detect the expression situation of a target gene in a large amount of cancer samples. On the basis of clinical information and follow-up information, the researchers can carry out various related statistical analysis.