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314 results about "Poor prognosis" patented technology

A prognosis is an educated forecast of a disease’s possible progress. A good prognosis expects that the patient will do well based on current or previous test results. A poor prognosis expects that there will be complications or negative progress based on test results.

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

Method for detecting serum marker of pancreatic cancer

The invention relates to the technical field of medical molecular biology and provides a method for detecting the serum marker of pancreatic cancer. The pancreatic cancer has high grade malignancy, difficult early diagnosis and poor prognosis, and the pancreatic cancer also lacks really effective solution, with surgical resection as the only therapeutic method to prolong survival period. Unfortunately, most of pancreatic cancer patients are in the advanced stage (TNM belongs to III and IV stages) and miss the surgical option. The invention aims at providing a method for detecting the serum marker of pancreatic cancer and applying the method to early diagnosis of pancreatic cancer and clinical judgment of laparotomy indication. The study proves that in the invention, the expression level of miR-196a in the serum is closely related to the postoperative survival period of pancreatic cancer; the study later proves that the relative expression abundance of miR-196a can well distinguish resectable pancreatic cancer (TNM belongs to I and II stages) from pancreatic cancer in advanced stage (TNM belongs to III and IV stages), so the method in the invention can be used for detecting the serum marker microRNA-196a of pancreatic cancer, and the method further has the advantages of convenient detection, good sensitivity and high accuracy.
Owner:SECOND MILITARY MEDICAL UNIV OF THE PEOPLES LIBERATION ARMY

Targeting metabolic enzymes in human cancer

Targeting metabolic enzymes in human cancer Abstract Lung cancer is a devastating disease and a major therapeutic burden with poor prognosis. The functional heterogeneity of lung cancer (different tumor formation ability in bulk of tumor) is highly related with clinical chemoresistance and relapse. Here we find that, glycine dehydrogenase (GLDC), one of the metabolic enzyme involved in glycine metabolism, is overexpressed in various subtypes of human lung cancer and possibly several other types of cancers. GLDC was found to be highly expressed in tumor-initiating subpopulation of human lung cancer cells compared with non-tumorigenic subpopulation. By array studies we showed that normal lung cells express low levels of GLDC compared to xenograft and primary tumor. Functional studies showed that RNAi inhibition of GLDC inhibits significantly the clonal growth of tumor-initiating cells in vitro and tumor formation in immunodeficient mice. Overexpression of GLDC in non-tumorigenic subpopulation convert the cells to become tumorigenic. Furthermore, over-expression of GLDC in NIH / 3T3 cells and human primary lung fibroblasts can transform these cells, displaying anchorage-independent growth in soft agar and tumor-forming in mice. Not only is GLDC is expressed human lung cancer, it is also up-regulated in other types of cancer, such as colon cancer. RNAi knockdown of GLDC in colon cancer cell line, CACO-2 cells, can also inhibit the tumor formation in mice. Thus GLDC maybe a new metabolic target for treatment of lung cancer, and other cancers.
Owner:AGENCY FOR SCI TECH & RES

LncRNA composition for detecting prognosis of early esophageal cancer and kit comprising LncRNA composition

The invention discloses an LncRNA composition for detecting prognosis of an early esophageal cancer and a kit comprising the LncRNA composition. By fluorescent quantitative PCR, a sample (which can be tissues/plasma serum and the like) of a patient with an esophageal cancer and difference change of the expression amount of a group of LncRNA in a corresponding para-carcinoma tissue/reference sample are identified, and the risk of esophageal cancerrelapse or transfer is accurately evaluated early. The kit can be used for accurately detecting early esophageal cancer transfer potential, then the transfer or relapse risk of a postoperative esophageal cancer patient can be accurately predicted and evaluated, the patient with high risk is intensively monitored and intervened effectively, relapse or transfer of the esophageal cancer is reduced, and prognosis of the patient is improved further. The poor prognosis related lncRNA composition is adopted, and the shortcomings that sensitivity and specificity are low due to the fact that a kit only uses single lncRNA as a tumor marker, and therefore, rate of fault diagnosis and rate of missed diagnosis on the esophageal cancer are greatly increased are overcome.
Owner:NANYANG NORMAL UNIV
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