85 results about "Lymph node metastasis" patented technology

Objective methods for detecting and diagnosing breast cancer (BRC) are described herein. In one embodiment, the diagnostic method involves determining the expression level of a BRC-associated gene that discriminates between BRC cells and normal cells. In another embodiment, the diagnostic method involves determining the expression level of a BRC-associated gene that discriminates among BRC cells, between DCIS and IDC cells. The present invention further provides means for predicting and preventing breast cancer metastasis using BRC-associated genes having unique altered expression patterns in breast cancer cells with lymph-node metastasis. Finally, the present invention provides methods of screening for therapeutic agents useful in the treatment of breast cancer, methods of treating breast cancer and method for vaccinating a subject against breast cancer.

The invention discloses a method of identifying a gene associated with stage III primary cancer or lymph node metastasis. The genes so identified include CAV1, CST3, LIMK1, MMP2, MMP15, VEGF, ETV4, MMP9, PIK3C2B, and SERPIN1. Also disclosed are methods for diagnosis, prognosis, and treatment of cancer. The invention further discloses compositions for preventing and treating diseases.

Objective methods for detecting and diagnosing breast cancer (BRC) are described herein. In one embodiment, the diagnostic method involves determining the expression level of a BRC-associated gene that discriminates between BRC cells and normal cells. In another embodiment, the diagnostic method involves determining the expression level of a BRC-associated gene that discriminates among BRC cells, between DCIS and IDC cells. The present invention further provides means for predicting and preventing breast cancer metastasis using BRC-associated genes having unique altered expression patterns in breast cancer cells with lymph-node metastasis. Finally, the present invention provides methods of screening for therapeutic agents useful in the treatment of breast cancer, methods of treating breast cancer and method for vaccinating a subject against breast cancer.

Objective methods for detecting and diagnosing intestinal-type gastric cancers are described herein. Also described is method for predicting the presence or absence of lymph node metastasis (i.e., identifying the metastatic phenotype). In one embodiment, the diagnostic method involves the scoring of gene expression profiles that discriminate between lymph node positive tumors and lymph node negative tumors. The predictive score calculated acts as diagnostic indicator that can objectively indicate whether a sample tissue has the metastatic phenotype. The present invention further provides methods of diagnosing intestinal-type gastric cancer in a subject, methods of screening for therapeutic agents useful in the treatment of intestinal-type gastric cancer, methods of treating intestinal-type gastric cancer and method of vaccinating a subject against intestinal-type gastric cancer.

The invention belongs to the field of micro-organism animal cell line and relates to a human hepatoma cell line which can emit high-intensity red or green fluorescence and has high transferring ability of lung and lymph node metastasis, and a method for establishing the same. The method comprises the following steps: using the human hepatoma cell line HCCLM3 and HCCLM6 which have high transferring ability of the lung and lymph node metastasis as mother cells, performing cotransfection on plasmid DNA of 239 cells through slow virus packaging plasmids to obtain false slow virus particles by expressing red or green fluorescent protein genes through eucaryon, and infecting liver cancer cell strains of the mother cells to obtain the chromosome integrated hepatoma cell line which has high transferring ability of the lung and lymph node metastasis and can stably expressing the red or the green fluorescence. The human hepatoma cell line which has high transferring ability of the lung and lymph node metastasis in vitro can be applied to the tracer studies on tumor cells, the molecular mechanism studies on the recurrence and transferring of liver cancer, as well as the pre-clinical drug efficacy studies on new anti-tumor drugs, thus the human hepatoma cell line has wide application prospect.

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.

About 70% to 80% of breast cancers express estrogen receptor-a (ERa), 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 tumpr cells provides a unique approach to characterize and study epithelial tumor cells and to gain an insight into signaling pathways associated with ER.

The invention belongs to the field of pharmaceutical preparations, and relates to an active targeting liposome carrier system for in situ tumors and lymphatic metastatic tumors. The carrier system is composed of polypeptides and liposomes whose amino acid sequence is CGNKRTRGC sequence of LyP-1. Wherein the LyP-1 sequence polypeptide is connected by two cysteines through a disulfide bond to form a ring structure. The liposome carrier system can passively drain the liposome into the lymphatic system through subcutaneous interstitial injection or intramuscular injection, and target the tumor metastasis lymph node through the mediated effect of LyP-1. The system can also be administered directly via intravenous injection, targeting tumors in situ and lymphatic metastases through tumor EPR effects and LyP-1-mediated effects. The liposome carrier system of the present invention can be used for targeted delivery of drugs for the diagnosis or treatment of tumors in situ and lymphatic metastases.

The invention provides a pathological image automatic identification system training method based on deep learning, which is characterized by comprising the following steps: step (a), performing imagesegmentation; (b) acquiring a tumor region of interest and a lymph node region of interest; (c) extracting imaging omics characteristics in the tumor region of interest and the lymph node region of interest; (d) eliminating redundant image omics characteristics; (e) determining optimal imaging omics characteristics in the tumor region of interest and the lymph node region of interest; (f) constructing a training set by using the optimal image omics characteristics, and predicting lymph node metastasis; (g) constructing an independent verification set to verify the training set; (h) when the prediction effectiveness of the training set reaches a preset value, ending the training; and when the prediction effectiveness of the training set is lower than a preset value, reconstructing the training set for training. The training method can improve the effectiveness of predicting gastric cancer lymph node metastasis.

The invention relates to the technical field of lung cancer gene detection, in particular to an ANXA3 gene or an ANXA3 protein as a biomarker of lung adenocarcinoma. Research findings, ANXA3 gene wasabnormally expressed in lung adenocarcinoma in both Xuanwei and non-Xuanwei areas. The expression of ANXA3 gene was lower or higher than normal level. ANXA3 gene or protein could be used as biomarkerof lung adenocarcinoma to diagnose lung adenocarcinoma, judge lymph node metastasis, assist TNM staging and prognosis. The invention provides an ANXA3 gene and an expression product thereof in preparation for prejudging whether lymph node metastasis of lung adenocarcinoma, The present invention provides a new diagnostic method for clinically diagnosing metastasis of lung adenocarcinoma and provides a new candidate drug for treating metastasis of lung adenocarcinoma. The present invention relates to a method for treating metastasis of lung adenocarcinoma and a pharmaceutical composition for treating lung adenocarcinoma.

The invention discloses a biology activity determination method of a monoclonal antibody of a recombined anti-human epidermal growth factor receptor. The method comprises the following steps: incubating human lung cancer-lymph node metastasis cells H292 and anti-EGFR monoclonal antibody with different concentrations; adding a cell counting dye reagent CCK-8; determining the light absorption value of stained vital cells through a microplate reader; processing experiment data through a computer program; calculating the biology activity of an anti-EGFR sample relative to an anti-EGFR standard. According to the invention, a cell strain with the detected cells H292 is applicable to antibodies with different affinities, the cell culture time is short, and the needed cell quantity is less; staining fluid of an MTT colorimetric method is improved, CCK-8 staining fluid is used, the product solubility is good, further solution treatment is not needed, the detection result can be detected at different time after the staining fluid is added, the developing result is stable, and the quality is controllable. The biology activity determined by the method is related to clinical effects, thus meeting the relevant technical requirement of FDA.

The invention discloses a reagent for auxiliarily diagnosing lung cancer lymph node metastasis, comprising 8 antibodies which are used for detecting 8 protein markers which are MMP1 (matrix metalloproteinase-1), TIMP1 (tissue inhibitor of metalloproteinases metallopeptidase inhibitor 1), IQGAP1 (IQ motif containing GTPase activating protein 1), TPX2 (targeting protein for Xklp2), uPA (Urokinase-type plasminogen activator), Cathepsin-D, Fascin and pIgR / SC (polymeric immunoglobulin receptor / secretory component). By adopting the 8 antibodies and an immunohistochemical staining result, lung cancer lymph node metastasis can be auxiliarily diagnosed, and the reagent is expected to be used for the risk estimation of lung squamous cell cancer lymph node metastasis and the prognostic prediction. The reagent has high creditability, strong practicability and clinical use value based on the clinical routine immunohistochemical staining technology when the reagent is used for auxiliary diagnosis.

The invention relates to a methylated biomarker or a combination thereof for detecting gastric cancer lymph node metastasis and non-metastasis and application of the methylated biomarker. The methylated biomarker is selected from at least one of chr12: 42873140, chr8: 81789921, chr8: 81811441 and chr8: 16884489. According to the invention, the appropriate DNA methylation biomarker is screened and used for detecting gastric cancer lymph node metastasis and non-metastasis, and the DNA methylation biomarker can achieve the purpose of accurate prediction. The novel DNA methylation marker developed by the invention can be used for identifying whether the lymph node metastasis of the early gastric cancer occurs or not, can be used for assisting clinical accurate diagnosis and guiding treatment, and also can be used for technical research in laboratories.

The invention discloses an MDM2 gene which is a novel predisposing gene of nasopharyngeal darcinoma by relating the SNP 309 polymorphic loci of the MDM2 gene with the risk of the nasopharyngeal darcinoma and the more serious lymph node metastasis, thereby providing new genetic counseling contents and the molecule criterion for people to prevent and control the nasopharyngeal darcinoma. In addition, the invention also relates to a method for detecting the SNP309 polymorphic loci and the corresponding detecting kit, wherein, the detecting method is the PCR product direct sequencing method that is the polymerase chain reaction-sequencing method.

Disclosed herein are compositions and methods relating to the diagnosis, prognosis, and treatment of colorectal cancer. The compositions and methods generally relate to the differential expression of transgelin in colorectal cancer cells with metastatic potential.

The invention discloses an automatic staging system based on mammary gland lymph node panoramic image calculation, and belongs to the technical field of medical image information processing. The method comprises: establishing two positive and negative samples required by the deep convolutional network according to the marked lymph node cancer metastasis region, training the deep convolutional network to obtain a model required by classification of the positive and negative samples, sending each block in the image tissue region into the model to obtain the probability of cancer metastasis at the position of the block, and establishing a probability calorific value graph; Secondly, extracting pathological omics characteristics according to a segmentation area of lymph node cancer metastasis,training a random forest classifier, constructing an automatic classification model of lymph node metastasis states, and constructing a staging system by integrating multiple lymph node cancer metastasis states of the same patient. The problems of time consumption, labor consumption, high error and the like when breast cancer staging is judged by pathology experts according to experience can be effectively solved.

B7H3 is a ligand member of the immunoregulatory family of proteins on immune cells. In one embodiment, a method for diagnosing the progression of cancer with a high propensity of primary tumor metastasis to the lymph node or distant site is provided. Such a method may comprise obtaining a cancer tissue sample from a cancer patient, determining an expression level of B7-H3 present in the tissue sample, and diagnosing the progression of the cancer having a high propensity of primary tumor metastasis to the lymph node or distant site based upon the expression level, wherein an increased expression level correlates with an increased probability of having regional lymph nodes or organ site that are positive for metastases.

The embodiment of the invention discloses a lung cancer postoperative survival rate prediction method and system. The method for predicting the survival rate after the lung cancer operation by measuring clinical data including gene mutation typing comprises the following steps: a data acquisition step: acquiring clinical data after the lung cancer operation; a preprocessing step: classifying and grouping the clinical data after the lung cancer operation to obtain modeling group clinical data and verification group clinical data; a risk factor screening step: performing risk factor screening on the clinical data of the modeling group to obtain risk factor data and total lifetime data; and a regression analysis step: carrying out regression analysis on the risk factor data and the total lifetime data to obtain data after regression analysis, and clinical data after the lung cancer operation comprises gene mutation typing, age, tumor size, lymph node metastasis and an operation mode.

The invention belongs to the field of medicine, and particularly relates to new uses of a nanometer charcoal suspension injection, particularly to applications of the nanometer charcoal suspension injection in preparation of cancer diagnosis reagents and thermotherapy reagents matched with near-infrared light. According to the present invention, near-infrared light is used to heat the diagnosed tissue and the nanometer charcoal suspension injection can effectively absorb infrared rays to convert into heat, such that the great temperature difference between cancer cells and normal cells is produced; with a thermal imager, the cancer cells and the normal cells are distinguished, and the cancer cell distribution and the metastasis are adjusted, such that the new method for non-invasive diagnosis of cancer cell and malignant tumor draining lymph node cancer draining lymph node trending and distribution by using the nanometer charcoal suspension injection is provided for the public; and near-infrared ray is used to heat the place diagnosed as the cancer cell-containing tissue and location, such that the cancer cell temperature is rapidly increased, the cancer cells are subjected to high temperature killing at the temperature of about 50-56 DEG C, while the normal cells is at the human acceptable level in a short period so as to achieve the purposes of thermotherapy on the malignant tumor primary site and the draining lymph node metastasis.

The invention provides an intracavitary visible photodynamic therapeutic instrument. The instrument comprises an endoscope or inner endoscope, a laser light source and a laser conductive fiber, wherein one end of the laser conductive fiber is arranged in a cold light source channel of the endoscope, while the other end is connected with the laser light source; the endoscope or inner endoscope is one of a laparoscope, a joint endoscope, a thoracoscope or neuroendoscope, a gastroscope, a cystoscope and the like. The instrument realizes visible lighting in a body cavity by using the endoscope or inner endoscope, and introduces the laser light source to the lesion location in the body cavity so as to provide clear view for implementing gross resection surgeries, radiate by laser, and increase time for killing tumor cells. Furthermore, the instrument has small toxic or side effect, overcomes the defects of local cancer tissue invasion, lymph node metastasis, hematogenous metastasis, tumor cell detachment and implantation and the like which cannot be solved by chemotherapy, radiotherapy and other means. Based on application of photosensitizer, the actual range of a malignant lesions can be displayed, and 'target lesion' can be treated actively. The instrument has reasonable and simple structure, and can provide visible lighting in the body cavity to implement effective treatment on the 'target lesion'.

The present application relates to a fixation treatment method for an in-vitro breast cancer axillary lymph node tissue specimen, and belongs to the technical field of sample preparation for testing.A to-be-tested in-vitro breast cancer axillary lymph node dissection tissue specimen is immersed in a stationary liquid for 2 to 24 hours. After washing, the specimen is immersed in a hydrochloric acid solution for 30 to 120 minutes, then rinsed, and soaked in an alkali solution for 30 to 120 minutes. A digestive solution contains 0.1-2 mg / ml of protease K, 1-100 mg / ml of trypsin and 0.1-2 mg / ml of EDTA, and after constant temperature water bath treatment for 1-10 hours, lymph nodes are cut, routinely dehydrated, embedded, sliced and stained to complete the treatment. The fixation treatment method for the in-vitro breast cancer axillary lymph node tissue specimen can not only soften and dissolve adipose tissue effectively, and ensures timely and sufficient fixation of the lymph nodes, andthe number of detected lymph nodes and accurate lymph node metastasis positive rate are effectively improved.

The invention relates to design, synthesis and application of a tumor-targeted near infrared fluorescent imaging agent. The structural formula of the tumor-targeted near infrared fluorescent imaging agent is ICG-OSu-(PEG)n-G(CGNVVRQGC), wherein ICG is a near infrared fluorescent imaging agent, namely indocyanine green, ICG-OSu is sulfoindocyanine green activating lipid, and is an amino reactive derivative of ICG, G(CGNVVRQGC) is tumor-targeted cyclic polypeptide TMTP1 and is carboxyl reactive, and the two are bridged by polyethylene glycol (PEG), wherein n is an integer of 2 to 20. The novel tumor-targeted molecular imaging agent provided by the invention greatly improves the specificity of ICG in imaging cervical cancer, breast cancer focuses and lymph node metastasis, and provides a goodindication for clinical diagnosis of cervical cancer and breast cancer, and removal of tumor lymph nodes by fluorescent endoscopy.

The invention discloses an application of ABHD6 in diagnosis, prognosis and treatment products of non-small cell lung cancer. The invention discloses a monoacylglycerol hydrolase ABHD6 (alpha / beta-hydrolase-domain-containing 6). The results of tissue microarray showed that the expression of ABHD6 in tumor tissues was significantly higher than that in adjacent tissues, and the high expression of ABHD6 was related to lymph node metastasis and TNM staging in non-small cell lung cancer, which was an independent factor of poor prognosis in NSCLC. The application of ABHD6 in diagnosis, prognosis andtreatment products of non-small cell lung cancer can influence the invasion and migration of non-small cell lung cancer cells in vitro by silencing ABHD6, and can slow down the growth speed of the tumor and slow down the process of the tumor migration to the lung.

This invention relates, e.g., to a method for detecting the presence of lymph node metastases in a subject having papillary thyroid carcinoma (PTC), comprising measuring in a sample from the subject the amount of expression (e.g., the amount of protein, or the amount of mRNA encoding the protein) of one or more of the following proteins: (a) LIMD2, and / or (b) PTPRC, and / or (c) LTB, and / or (d) CD48, and / or (e) ABCC3, wherein a significant amount of over-expression of one or more of protein(s) (a)-(e), compared to the baseline value, indicates that lymph node metastases are likely to be present in the subject.

The present invention discloses the nine biomarkers including HIF1A, FAM84B, CRIP2, GSN, RPL15, DLG1, MAT2A, PGBD2 and ID3 are respectively selected according to their specific and unique expression profile in the gastric cancer cells or gastric cancer tissue. Therefore, the nine biomarkers are related to diagnose gastric cancer, such as detecting early gastric cancer, staging gastric cancer, predicting prognosis of gastric cancer and diagnosing lymph node metastasis. By analyzing the expression value of at least one biomarker of a sample from a subject, the subject can be precisely diagnose the risk about gastric cancer.

The invention discloses a cancer marker, wherein the cancer is a prostate cancer, and the cancer marker is an expression product of an APMAP gene and / or an APMAP gene. The APMAP gene is highly expressed in prostate cancer, which can be used for early diagnosis of prostate cancer, and has the advantages of specificity and high sensitivity. The high expression of APMAP gene is closely related to thepoor prognosis, distant metastasis and lymph node metastasis of prostate cancer, suggesting that APMAP gene can be used as a prognostic marker to provide effective information for the metastasis diagnosis, prognosis evaluation and treatment effect monitoring of prostate cancer. The invention discloses an expression inhibitor of an APMAP gene, comprising siRNA and / or shRNA, which has good interference effect on the expression of the APMAP gene, and has the application potential of clinical gene therapy. The invention discloses a cell strain of stable knockdown APMAP gene, which is favorable for realizing further research on gene function.

The invention relates to the technical field of medical detection, in particular to a marker for thyroid cancer diagnosis, stratification and prognosis and application of the marker. The invention provides a marker for cervical lymph node metastasis of thyroid cancer. The marker comprises N-carbohydrate chain markers A2LF, A3F0L, A2F0L and A2F0GL. The expression quantity of the N-carbohydrate chain marker provided by the invention has obvious difference between a thyroid cancer patient with neck lymph node metastasis and a thyroid cancer patient without neck lymph node metastasis, can be used for judging the neck lymph node metastasis of the thyroid cancer, and has relatively high specificity, sensitivity and accuracy.

The invention discloses an intelligent prediction method and system for an NSCLC lymph node metastasis risk. The method comprises the following steps: acquiring Hamp of a lung cancer patient; e, dyeing the full-view digital section and clinical data of the patient; performing quality control, color block processing and screening on the image data; and applying the preprocessed color blocks to a two-stage analysis process, wherein the two-stage analysis process comprises establishing a CNN model for identifying non-cancer tissues and a CNN model for predicting early-stage non-small cell lung cancer lymph node metastasis. The analysis of the two parts comprises the steps of dividing color block images into a training set and a verification set, constructing a model through a CNN algorithm, optimizing parameters of the trained CNN model, and verifying the optimized CNN model in the verification set. And finally predicting the risk of early non-small cell lung cancer lymph node metastasis by using the detected CNN model. The deep learning algorithm is adopted to judge the pathological section, so that the accuracy of tumor metastasis risk assessment is improved, the medical cost is greatly reduced, and the method is easy to widely popularize.

The invention relates to the technical field of gene detection, and discloses a detection kit for oral squamous cell carcinoma lymph node metastasis prediction. The kit comprises forward primer and reverse primer sequences of 7 kinds of genes including PDGFRA, PLAU, SOX9, SPP1, CDKN2A, CASP1 and MAL. The invention also discloses a method for screening the gene or the gene combination for the oralsquamous cell carcinoma lymph node metastasis prediction. The detection kit can be used for objectively, accurately and sensitively predicting the oral squamous cell carcinoma lymph node metastasis condition, so that the survival rate of the oral squamous cell carcinoma patients can be favorably improved.

The invention provides a quantitative analysis result output method and apparatus of esophagus cancer lymph node metastasis. The quantitative analysis result output method of esophagus cancer lymph node metastasis includes the steps: establishing a lymph node database, performing image analysis and feature recognition on the data in a training set, calculating the likelihood ratio, and estimatingthe pre-test probability; using the data after image analysis and feature recognition and the likelihood ratio to perform index screening, and using the preliminary screening data and the estimated pre-test probability to calculate the post-test probability; establishing a discrimination model according to the preliminary screening data and the post-test probability; substituting the data in the test set into the discrimination model, and if the expected goal is achieved, establishing a quantitative analysis model for esophageal cancer lymph node metastasis; if the expected goal is not achieved, correcting the discrimination model and testing again until the expected goal is achieved, and establishing a quantitative analysis model for esophageal cancer lymph node metastasis; and substituting the lymph node data of the lymph node to be analyzed into the analysis model, obtaining a quantitative analysis result of esophageal cancer lymph node metastasis of the lymph node to be analyzed through calculation and outputting the quantitative analysis result.