81 results about "Distant metastasis" patented technology

The invention discloses a method for establishing a nasopharyngeal carcinoma distant metastasis predicting model. The method comprises the steps of selecting a nasopharyngeal carcinoma tumor pathological slice digital image with known metastasis information as a training set of a deep learning algorithm; obtaining a processed nasopharyngeal carcinoma tumor pathological slice digital image; training and optimizing the processed nasopharyngeal carcinoma tumor pathological slice digital image and patient clinical information; establishing a function relation formula between a distant metastasis risk of a nasopharyngeal carcinoma patient and a score S, and performing interval classification on a P value with distant metastasis and the P value without distant metastasis. The invention providesthe method for establishing the nasopharyngeal carcinoma distant metastasis predicting model, wherein a deep learning algorithm is applied in pathology, and artificial intelligence technology is utilized for realizing establishment of a tumor prognosis predicting model.

The invention relates to an application of an esophageal squamous cell carcinoma primary tumor strain CH-H-1 in a mammal for producing esophageal squamous cell carcinoma cells. The primary tumor strain CH-H-1 disclosed by the invention can realize multiple passages through NOD / SCID mice, has significance for solving the bottleneck that the current treatment of the esophageal squamous cell carcinoma can not avoid distant metastasis, and is an ideal object for fundamental research on the esophageal squamous cell carcinoma and clinical early application.

The invention discloses a nasopharyngeal carcinoma distant metastasis predicting system based on a deep learning algorithm. The predicting system comprises the following modules of: an image acquisition module, an image preprocessing module, a patient information collecting module, a distant metastasis predicting module based on the deep learning algorithm, and a predicting information output module. The system of the invention realizes risk predicting to nasopharyngeal carcinoma distant metastasis of a nasopharyngeal carcinoma patient. Compared with an analysis-diagnosis-treatment mode in which traditional molecular biological technology and gene sequencing and the like are used as main means, the system has advantages of improving efficiency in acquiring a diagnosis result and realizingpredictive judgment which cannot be independently performed by a clinical doctor.

The invention discloses a tumor-associated sequence, a tumor-associated long non-coding RNA (lncRNA) and application of the tumor-associated sequence. lncRNA GMAN (gastric cancer metastasis associatedlong noncoding RNA) has relatively high expression in gastric cancer and particularly has remarkably high expression in samples of patients with M1-stage gastric cancer generating distant metastases,and the high expression of the GMAN is remarkably related to poor prognosis of the patients with the gastric cancer. A research shows that the GMAN plays an important role in occurrence and development of the gastric cancer; the GMAN can be used for remarkably promoting invasion and metastasis of gastric cancer cells. A therapeutic experiment of CRISPR / Cas9 shows that the GMAN, in particular to an MFR (mannosylfucosyl receptor) segment of the GMAN, can be used for effectively inhibiting the metastasis of the gastric cancer and can serve as a novel strategy for controlling the metastasis of tumors clinically.

Human breast carcinoma SK-BR-3 cell strain as source cell for building train adapted by the invention is continuously inoculated on female NOD / SCID mouse mammary gland fat pad and filtered in pressure of low dose chemotherapy drug tail intravenous injection to build human breast carcinoma cell line SK-3rd rich in tumour breast carcinoma stem cell. The proper of knub stem cell in the cell is increased greatly comparing with non NOD / SCID vivo passage source cell. The formation rate of saccule and the number of cell in the saccule are increased greatly in case of cell suspension culture. The ratio of undifferentiation cancer cell is reduced but is higher evidently than source cell in process of SK-3rd saccule cell inducing differentiation. The saccule cell formed from SK-3rd cell has carcinoma stem cell phenotype which gradually dies out in process of differentiation. NOD / SCID mouse orthotopic transplantation has high tumour-forming rate, high long-distance transferring rate, short tumour-forming periodic time and less number of cells needed by tumour-forming. The invention is an ideal mould for studying breast carcinoma stem cell and has wide applications foreground for disclosing generation mechanism of breast carcinoma and neoplastic treat.

The invention relates to the field of medical treatment, in particular to a storing and recording method and classified collecting box for organ specimens and lymph node specimens in surgical operations. The classified collecting box for the organ specimens and the lymph node specimens in the surgical operations comprises a classification box I and a classification box II. The upper surface of the classification box I is divided into a primary lesion storing area and a distant metastasis storing area. An organ specimen storing tank is arranged in the primary lesion storing area. An anatomical atlas is arranged on the upper surface of the classification box II, and a plurality of lymph node specimen storing tanks are formed in the upper surface of the classification box II. The storing and recording method for the organ specimens and the lymph node specimens in the surgical operations comprises the steps that the classified collecting box for the organ specimens and the lymph node specimens in the surgical operations is adopted; and taken-down distant metastasis tissue is placed into distant metastasis storing tanks, then corresponding marks are pasted to the positions near the distant metastasis storing tanks, and the specific sampling positions of the distant metastasis tissue in corresponding sampling organs are marked on mark pasters. Comprehensive and detailed recording can be carried out on related information of the specimens in the surgical operations.

A method for predicting the likelihood of locoregional recurrence (LRR) and / or distant metastasis in a subject with breast cancer following mastectomy and / or breast conserving surgery, comprising: measuring the expression level of at least one gene in a sample isolated from the subject; and deriving a score based on the measured expression level of the at least one gene, wherein the at least one gene is selected from a group consisting of TRPV6, DDX39, BUB1B, CCR1, STIL, BLM, C16ORF7, TPX2, PTI1, TCF3, CCNB1, DTX2, PIM1, ENSA, RCHY1, NFATC2IP, OBSL1, and MMP15, and wherein the derived score provides an indication of the likelihood of LRR and / or the likelihood of distant metastasis in the subject.

The invention discloses an application of EB virus encoded microRNA BART10 (EBV-miR-BART10) in preparing a prediction preparation for recurrence and metastasis of nasopharyngeal carcinoma. The research proves that the expression level of EBV-miR-BART10 in the nasopharyngeal carcinoma tissue is in positive correlation with the lymphatic metastasis and the distant metastasis of the nasopharyngeal carcinoma patient; if the expression of the EBV-miR-BART10 in the nasopharyngeal carcinoma tissue is up-regulated, the nasopharyngeal carcinoma patient with higher EBV-miR-BART10 expression have larger possibilities of recurrence and metastasis than the nasopharyngeal carcinoma patient with lower EBV-miR-BART10 expression, and the prognosis is worse, therefore, the application of the expression of the EBV-miR-BART10 in the predication of recurrence and metastasis of the nasopharyngeal carcinoma patient can provide powerful biomolecular basis for the prognosis of the nasopharyngeal carcinoma patient, and thus the application method has profound clinical significances and important popularization and application prospects.

The invention relates to a medical information processing method. The method comprises the steps: obtaining first to third recognition information based on the AI recognition of first medical information, second medical information and third medical information, wherein the first recognition information comprises the tumor primary lesion condition, the second recognition information comprises theregional lymph node fatigue condition, and the third identification information comprises a remote transfer condition; and outputting interpretation information according to the first recognition information, the second recognition information, the third recognition information and standard information. The medical information processing system is linked to a medical diagnosis business data systemthrough a corresponding data interface, and comprises: an AI identification module configured to obtain identification information including different pathological information based on different medical information, and an analysis module used for obtaining the interpretation information according to the different identification information and the standard information. Through the embodiments ofthe invention, intelligent inference of corresponding diagnosis information can be realized, the working efficiency of doctors is improved, and the clinical data preparation cost is reduced.

An estrogen-regulated gene sequence SHON has been characterised, and found to be a novel oncogene in mammary carcinoma and significantly associated with estrogen and progesterone receptor expression in breast cancer. The present invention encompasses methods for predicting the responsiveness to endocrine therapy for breast cancer and providing a prognosis for disease-free and / or distant metastasis-free survival of a cancer patient.

The invention relates to the medical field, in particular to a method for storing and recording surgical organs and lymph node specimens and a classification collection box. A surgical organ and lymph node specimen classification collection box includes a staging box I and a staging box II; the upper surface of the staging box I is divided into a primary tumor storage area and a distant metastasis storage area, and the primary tumor storage area is provided with an organ Specimen storage tank, the upper surface of the staging box II is provided with anatomical atlas, and the upper surface of the staging box II is also provided with a plurality of lymph node specimen storage tanks; a method for storing and recording surgical organs and lymph node specimens uses surgical organs and Lymph node specimen classification collection box; put the removed distant metastatic tissue into the distant metastatic storage tank, and then paste the corresponding label near the distant metastatic storage tank, and mark the distant metastatic tissue on the label Specific sampling locations in corresponding sampling organs. The invention can comprehensively and detailedly record the related information of the surgical specimen.

The present invention relates to methods which make possible to assess and / or prognose a cancer disease, the metastatic behaviour of a cancer disease and / or the occurrence of a relapse of cancer. In particular, the methods of the invention make possible to assess and / or prognose the occurrence of cancer metastasis, in particular distant metastasis. Preferably, the methods of the invention allow to discriminate malign from benign conditions.