51 results about "Prognostic factor" patented technology

A cancer test having prognostic utility in predicting time to disease progression, overall survival, and response to therapy in patients with MBC based upon the presence and number of CTC's. The Cell Spotter® System is used to enumerate CTC's in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies CTC's. The absolute number of CTC's detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. The mean time to survival of patients depended upon a threshold number of 5 CTC's per 7.5 ml of blood. Detection of CTC's in metastatic cancer represents a novel prognostic factor in patients with metastatic cancers, suggests a biological role for the presence of tumor cells in the blood, and indicates that the detection of CTC's could be considered an appropriate surrogate marker for prospective therapeutic clinical trials.

The present invention describes a method for identification and labeling of sentinel lymph nodes (SLNs) and the presence or absence of lymph node metastases as an important diagnostic and prognostic factor in early stage cancers of all types. The method, know as Molecular Lymphatic Mapping, uses traditional dye/radioactive tracer based techniques in conjunction with a nucleic acid marker to identify and label the SLN, not only for current diagnostic methods, but for archival purposes. In addition, MLM can be used to deliver a therapeutic gene or genes to the SLN to activate tumor immunity to tumor cells, and/or to inhibit tumor metastases. The methods may be combined with therapeutic intervention including chemotherapy and radiotherapy.

A cancer test having prognostic utility in predicting time to disease progression, overall survival, and response to therapy in patients with MBC based upon the presence and number of CTC's. The Cell Spotter® System is used to enumerate CTC's in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies CTC's. The absolute number of CTC's detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. The mean time to survival of patients depended upon a threshold number of 5 CTC's per 7.5 ml of blood. Detection of CTC's in metastatic cancer represents a novel prognostic factor in patients with metastatic cancers, suggests a biological role for the presence of tumor cells in the blood, and indicates that the detection of CTC's could be considered an appropriate surrogate marker for prospective therapeutic clinical trials.

The invention relates to a breast cancer recurrent risk assessment 21 gene detection primer and application thereof. The breast cancer recurrent risk assessment 21 gene detection primer comprises a nucleotide sequence as shown in an SEQ ID NO.: 1 to 42, and belongs to the technical field of molecular detection. The detection primer provided by the invention utilizes the advantage of fluorescent quantitation, and adopts fluorescent quantitation polymerase chain reaction to carry out amplification detection on 21 genes for breast cancer recurrent risk assessment, so that whether clinical measurements such as adjuvant chemotherapy are needed or not is considered. A kit provides a PCR (Polymerase Chain Reaction) amplification primer sequence of the 21 genes for breast cancer recurrent risk assessment, and the primer is applicable to detecting ER positive patients, HER2 negative patients, axillary node negative patients, moderately and poorly differentiated patients with the tumor size being 0.6 to 1.0cm and adverse prognostic factors, or patients with the tumor size is larger than 1cm, has the advantages of high sensitivity and specificity, stability, promptness, convenience in operation and the like, can well meet the clinical application of breast cancer recurrent risk assessment, and can be beneficial for reducing invalid medication administration, improving medication administration accuracy, and reducing financial burdens of the patients.

The present invention provides for the first time YY1, a transcription factor gene over-expressed and/or functionally overactive in human cancer. The present invention provides methods of diagnosing and providing a prognosis for cancer such as prostate cancer, as well as methods of drug discovery. YY1 is also a therapeutic target for treatment of cancer resistant to conventional and experimental cancer therapeutics. Inhibition of YY1 expression and/or activity sensitizes resistant tumor cells to cytotoxic treatments, including chemotherapy, radiation therapy, hormonal therapy, and immunotherapy.

The invention provides an analytical method for prognosis survival case of non-small cell lung cancer. The analytical method for prognosis survival case of non-small cell lung cancer designs an experiment to perform prognosis survival analysis and research on a non-small cell lung cancer patient, constructs a prognostic analysis model for the non-small cell lung cancer based on CT image omics characteristics, according to a traditional imaging omics research framework, performing tumor segmentation, characteristic extraction, characteristic screening, and modeling of a correlation analysis andprognosis survival analysis model for image omics characteristics and the prognosis survival case on the data of the non-small cell lung cancer patient to obtain an image omics prognostic factor andprognosis survival analysis model correlated with prognosis survival significance of the patient with the non-small cell lung cancer, so as to provide the doctor with data information including the survival time of the patient and a series of late lesion development situations, and at the same time, to evaluate the performance of the prognosis survival model to ensure the accuracy of the prognosissurvival model.

The present invention relates to the identification of various prognostic factors that predict response in patients with hyperproliferative disease such as cancer to gene therapy, and their use in methods of treating such patients with an anti-hyperproliferative disease gene therapy. Also described are methods of treatment for Li Fraumeni syndrome, and for assessing anti-cancer gene therapy using PET scans.

The invention provides an ELISA (enzyme linked immunosorbent assay) kit for detecting endothelial cell specific molecule-1 (ESM-1) of a tumour marker, wherein the kit comprises (1) a coated antibody, wherein the coated antibody is a mouse anti-human ESM-1 antibody; (2) a detection antibody, wherein the detection antibody is a biotinylated goat anti-human Endocan antibody; (3) an enzyme linked antibody, wherein the enzyme liked antibody is a rabbit anti-goat IgG (immunoglobulin G) marked by a horseradish peroxidase; (4) a human Endocan standard substance; and (5) a colour development substrate of the enzyme linked antibody. By the kit provided by the invention, the early diagnosis rate of gastric cancer can be improved under a relatively small wound; the biomarker is an independent prognostic factor and is relevant to vessel invasion, distant metastasis and general classification of gastric cancer, so that prognosis can be predicted, states of the illness can be monitored, and treatments can be guided.

Methods for predicting a response of a patient having a lymphoma to a therapy regimen of 3-(4-amino-1-oxo-1,3-dihydro-isoindol-2-yl)-piperidine-2,6-dione using prognostic factors of a patient's disease burden, absolute lymphocyte count or time since last rituximab therapy are disclosed. Specific methods of treating a lymphoma encompass the administration of 3-(4-amino-1-oxo-1,3-dihydro-isoindol-2-yl)-piperidine-2,6-dione to a patient who has one or more of the favorable profiles, alone or in combination with immunosuppressive agents such as rituximab.

A “malignancy-risk” (MR) gene signature score was developed with abundant proliferative genes using principal component analysis. This MR gene signature was shown to be a predictive and prognostic factor of overall survival in early-stage NSCLC. The malignancy-risk signature showed a significant association with OS, with poor survival seen in patients having a higher MR score and better survival seen in patients having a low MR score. As a prognostic factor, the MR gene signature showed a positive correlation with TNM stage, histologic grade, and smoking status. Combination of the MR signature with each clinical parameter often showed the best survival in the low MR group with good clinical outcome. The MR gene profile, tested with a PCA scoring method, discriminated overall survival in lung cancer patients was a predictor independent of pathological staging and other clinical parameters.

The present invention provides a reagent for prognostic evaluation of carcinoma patients, comprising an anti-P-LAP antibody as an active ingredient. Also, the present invention provides a method for determination of P-LAP which is a prognostic factor in carcinoma patients comprising (a) a step of contacting carcinoma tissues obtained from carcinoma patients by surgical operation with an anti-P-LAP antibody and (b) a step of measuring the intensity of the specific antigen-antibody reaction between P-LAP present in the carcinoma tissues and anti-P-LAP antibody.

The invention discloses application of EIF5A2 to preparation of an esophageal squamous cell carcinoma prognosis reagent. Real-time quantitative PCR (Polymerase Chain Reaction) detection data shows that expression of the EIF5A2 in esophageal squamous cell carcinoma tissues is obviously higher than that in corresponding non-tumor tissues. An immunohistochemical data analysis result shows that expression of the EIF5A2 is positively correlated to lymphatic metastasis, the tumor invasion depth and neoplasm staging. Kaplan-Meier analysis shows that a patient overexpressed by the EIF5A2 has poor overall survival (p is less than 0.001). Multivariate analysis also proves that the EIF5A2 is an independent prognostic factor. The EIF5A2 possibly takes important effects in invasion and metastasis of esophageal squamous cell carcinoma. Further experimental data proves that overexpression of the EIF5A2 can be caused by gene amplification and oxygen deprivation; the EIF5A2 can be combined into a promoter region of HIF1a to up-regulate expression of the HIF1a; and the EIF5A2 can induce epithelial-mesenchymal transition conversion and promote angiopoiesis of the esophageal squamous cell carcinoma so as to promote invasion and metastasis of the esophageal squamous cell carcinoma. Knockout of the EIF5A2 can obviously inhibit tumor metastasis and the silent EIF5A2 is expected to be a potential target of esophageal squamous cell carcinoma treatment.

The invention discloses a primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS. The model comprises related prognosis factors, risk groups corresponding to evaluation scores of different states of the prognosis factors and prognosis states corresponding to the risk groups, wherein the prognosis factors are composed of serum albumin content and ECOG-PS. According to the invention, the serum albumin content and ECOG-PS are integrated as prognosis evaluation indexes of primary central nervous system lymphoma for the first time, and a novel prognosis evaluation model for patients with primary central nervous system lymphoma is established.

Single nucleotide polymorphisms (SNP) for predicting prognosis of hepatocellular carcinoma after curative surgical resection are provided. The SNPs have a significant correlation with an over-expression of MTA1 which is useful prognostic factor for prediction of prognosis or poor survival after curative surgical resection of hepatocellular carcinoma. Therefore, the SNPs can be used in developing micro-arrays or test kits for prediction of the prognosis of hepatocellular carcinoma, and in screening drugs to improve poor prognosis of hepatocellular carcinoma after curative surgical resection.

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

A method for treating a patient with cancer. The method includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of performing multiple correlated measurements on each cell to obtain cell data for each cell regarding each cell's place in a genetic evolutionary sequence that had occurred in the tumor. Next there is the step of determining from the cell data a likelihood of recurrence of the cancer by minimizing false negatives. A method for treating a patient with cancer. The method includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of obtaining cell data for each cell regarding each cell's place in a genetic evolutionary sequence that had occurred in the tumor. Next there is the step of recognizing distinctive false negative patterns from the cell data. Then there is the step of correlating the false negative patterns to aberrations in mitogenic signaling to determine a likelihood of recurrence of the cancer in the patient. An apparatus for treating a patient with cancer. The apparatus includes a mechanism for obtaining cell data from cells of a cancerous tumor in the patient to obtain cell data for each cell regarding each cell's place in a genetic evolutionary sequence that has occurred in the tumor. The apparatus includes a mechanism for determining from the cell data a likelihood of recurrence of the cancer by minimizing false negatives.

The present invention provides MEL-18, which is a biomarker for human epidermal growth factor receptor2 (HER2)-positive cancer and anti-HER2 therapy, and a use thereof. According to the present invention, MEL-18 is a prognostic factor or predictor for a response of subjects to an anti-HER2-targeted drug in HER2-POSITIVE cancer and may be used in companion diagnostics for HER2-targeted drugs in subjects with HER2-positive cancer. Therefore, HER2-positive cancer may be more effectively treated by overcoming resistance to HER2 therapeutic agents and enhancing therapeutic efficacy by determining whether ADAM10/17 inhibitors are administered or co-administered with HER2-targeted drugs.

The invention relates to application of MAGI3 in prediction of prognosis or chemosensitivity of a colorectal cancer patient. Researches prove that the MAGI3 in patients with postoperative recurrence and patients with short lifetime shows low expression, so that the MAGI3 can be used as a useful prognostic factor for predicting whether the postoperative recurrence occurs or not or predicting the lifetime of patients with colorectal cancer . In addition, the invention proves that the effective rate of colorectal cancer patients with high MAGI3 expression level on a chemotherapy scheme based on 5-Fu is higher than that of patients with low expression MAGI3, so that the MAGI3 can be used as an index for predicting the chemotherapy effectiveness of the colorectal cancer patients. Accordingly, aproduct for predicting prognosis of colorectal cancer patients and a drug for enhancing chemosensitivity of the colorectal cancer patients can be developed, so that prognosis of the patients is improved.

The present invention uses methylomic analysis and discovers DNA methylation biomarkers for prediction of ovarian cancer prognosis and detection of malignant ovarian cancer. In addition to being independent prognostic factors for patients with current treatment protocols, these DNA methylations are important biomarkers for individualized medicine for future chemotherapy (especially the demethylation agents or other epigenetic drugs).