215 results about "Blastoma" patented technology

PCT No. PCT/US97/11564 Sec. 371 Date Apr. 14, 1999 Sec. 102(e) Date Apr. 14, 1999 PCT Filed Jul. 8, 1997 PCT Pub. No. WO98/01132 PCT Pub. Date Jan. 15, 1998The present invention relates to specific adamantyl or adamantyl group derivative containing retinoid compounds induce apoptosis of cancer cells. These adamantyl retinoid derivatives are useful for the treatment of many cancers and solid tumors, especially androgen-independent prostate cancer, skin cancer, pancreatic carcinomas, colon cancer, melanoma, ovarian cancer, liver cancer, small cell lung carcinoma, non-small cell lung carcinoma, cervical carcinoma, brain cancer, bladder cancer, breast cancer, neuroblastoma/glioblastoma, and leukemia. Also, the invention relates to novel adamantyl or adamantyl group derivative compounds which are useful as active agents for the treatment or prevention of keratinization disorders and other dermatological conditions, and other diseases.

The invention provides modified antibodies directed against GD2 that have diminished complement fixation relative to antibody-dependent, cell-mediated cytotoxicity, which is maintained. The modified antibodies of the invention may be used in the treatment of tumors such as neuroblastoma, glioblastoma, melanoma, small-cell lung carcinoma, B-cell lymphoma, renal carcinoma, retinoblastoma, and other cancers of neuroectodermal origin.

The present invention provides a number of gene markers whose expression is altered in various gliomas. In particular, by examining the expression these markers, one can accurately classify a glioma as glioblastoma multiforme (GM), anaplastic astrocytoma (AA), anaplastic oligodendroglioma (AO) or oligodendroglioma (OL). The diagnosis may be performed on nucleic acids, for example, using a DNA microarray, or on protein, for example, using immunologic means. Also disclosed are methods of therapy.

The present invention provides antibodies useful as therapeutics for treating and/or preventing diseases associated with cells expressing GT468, including tumor-related diseases such as breast Cancer, lung Cancer, gastric Cancer, ovarian Cancer, hepatocellular Cancer, colon Cancer, pancreatic Cancer, esophageal Cancer, head & neck Cancer, kidney Cancer, in particular renal cell Carcinoma, prostate Cancer, liver cancer, melanoma, sarcoma, myeloma, neuroblastoma, placental choriocarcinoma, cervical cancer, and thyroid Cancer, and the metastatic forms thereof. In one embodiment, the rumor disease is metastatic cancer in the lung.

A method is provided for assessing allelic losses and hypermethylation of genes in CpG tumor promotor region on specific chromosomal regions in cancer patients, including melanoma, neuroblastoma breast, colorectal, and prostate cancer patients. The method relies on the evidence that free DNA and hypermethylation of genes in CpG tumor promotor region may be identified in the bone marrow, serum, plasma, and tumor tissue samples of cancer patients. Methods of melanoma, neuroblastoma, colorectal cancer, breast cancer and prostate cancer detection, staging, and prognosis are also provided.

The invention relates to a visualization method for quantifying glioma invasiveness based on a kernel density function, which is a method for quantifying glioblastoma invasiveness established by usinga kernel density estimation algorithm on the basis of Image J software and an R language platform. According to the method, a nuclear density estimation graph of cell nucleus distribution is deducedby utilizing a nuclear density estimation algorithm packaged by an R language ggplot2 packet and an MASS packet and a visualization function. The method can help to effectively judge the invasion condition of the tumor from the pathological section in scientific research work, the tumor nuclear density of each region is counted by utilizing the nuclear density, the invasion trend of the tumor canbe roughly judged from a visual graph, and the tumor invasion ability is reflected from the section.

This invention relates to a method for detecting, (i) malignant astrocytoma from normal brain tissue (ii) glioblastoma and anaplastic astrocytoma (iii) primary glioblastoma and secondary glioblastoma (iv) progressive pathway and denovo pathway comprises determining the level of expression of miRNAs listed in table 2, 3, 4, 5, wherein a higher or lower level of expression of miRNAs in the test sample as compared to the control sample differentiates and kit for characterizing a) malignant astrocytoma from normal brain tissue cell comprising reagent capable of specifically detecting the level of expression of the genes of miRNAs and instructions for using said kit for characterizing malignant astrocyoma from normal brain tissue cells b) glioblastoma from anaplastic astrocytoma comprising reagent capable of specifically detecting the level of expression of the genes of miRNAs and instructions for using said kit for characterizing glioblastoma from anaplastic astrocyoma c) primary glioblastoma from secondary glioblastoma comprising reagent capable of specifically detecting the level of expression of the genes of miRNAs and instructions for using said kit for characterizing primary glioblastoma from secondary glioldastoma, d) progressive pathway from denovo pathway comprising reagent capable of specifically detecting the level of expression of the genes of miRNAs and instructions for using said kit for characterizing progressive pathway from denovo pathway.

The invention belongs to the technical field of medicines, and discloses a construction method and application of a glioblastoma organ model. The method for constructing the glioblastoma organ model comprises the following steps: pretreating a glioblastoma cell line to obtain single glioblastoma cells, and transplanting the single glioblastoma cells into cerebral cortex organs cultured for 30 days. The method provided by the invention can simulate the growth characteristics of glioblastoma and the microenvironment of tumors clinically to realize simulation of the growth process of tumor cellsin the normal brain tissues. Furthermore, in order to observe the growth of glioblastoma cells in organoids, a red fluorescent dye is used for marking tumor cells instead of lentiviral transfection oftumor cells. The method is simple and feasible. The influence of lentivirus transfection labeling on the cell growth state is avoided. Meanwhile, the culture time of the system is shortened, the fluorescence labeling difficulty is reduced, and conditions are provided for rapidly applying a tumor sample to experimental researches clinically.

The present invention relates to glioblastoma inhibiting compounds, in particular gambogic acid amid and derivatives thereof for the treatment of glioblastoma. Moreover, methods for determining whether a treatment with the compounds of the invention is suitable for a patient are disclosed.

The present invention provides compositions and methods for the diagnosis and treatment of glioblastoma, particularly tumor propagating cells within the glioblastoma.

Methods that implement image-guided tissue analysis, MRI-based computational modeling, and imaging informatics to analyze the diversity and dynamics of molecularly-distinct subpopulations and the evolving competitive landscapes in human glioblastoma multiforme (“GBM”) are provided. Machine learning models are constructed based on multiparametric MRI data and molecular data (e.g., CNV, exome, gene expression). Models can also be built based on specific biological factors, such as sex and age. Inputting MRI data into the trained predictive models generates maps that depict spatial patterns of molecular markers, which can be used to quantify and co-localize regions molecularly distinct subpopulations in tumors and other regions, such as the non-enhancing parenchyma, or brain around tumor (“BAT”) regions.

The disclosure provides methods of treating glioblastoma, methods of screening for compounds that treat glioblastoma, and pharmaceutical compositions useful in the treatment of glioblastoma.