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1744 results about "Breast cancer cells" patented technology

Prospective identification and characterization of breast cancer stem cells

Human breast tumors contain hetrogeneous cancer cells. using an animal xenograft model in which human breast cancer cells were grown in immunocompromised mice we found that only a small minority of breast cancer cells had capacity to form new tumors. The ability to form new tumors was not a slochastic property, rather certain populations of cancer cells were depleted for the ability to form new tumors, while other populations were enriched for the ability to form new tumors. Tumorigenic cells could be distinguished from non-tumorigenic cancer cells based on surface marker expression. We prospectively identified and isolated the tumorigenic cells as CD4430CD24−/lowLINEAGE A few as 100 cells from this population were able to form tumors the animal xenograft model, while tens of thousands of cells from non-tumorigenic populations failed to form tumors. The tumorigenic cells could be serially passaged, each time generating new tumors containing and expanded numbers of CD44+CD24 Lineage tumorigenic cells as well as phenotypically mixed populations of non-tumorigenic cancer cells. This is reminiscent of the ability of normal stem cells to self-renew and differentiate. The expression of potential therapeutic targets also differed between the tumorigenic and non-tumorigenic populations. Notch activation promoted the survival of the tumorigenic cells, and a blocking antibody against Notch 4 induced tumorigenic breast cancer cells to undergo apoptosis.
Owner:RGT UNIV OF MICHIGAN

Endogenous protein marking method used for Chip-seq genome-wide binding spectrum

The invention relates to an endogenous protein marking method applied to genome-wide binding spectrum analysis. The method comprises the steps of designing sgRNA for upstream and downstream 50bp regions of an encoding termination site of an NCOA1 gene; verifying cutting efficiency of sgRNA mediated Cas9 by an experiment; building an anti-estrogen therapy tolerant MCF-7 breast cancer cell model; by utilizing a CRISPR/Cas9 homologous recombination technology, selecting and using effective sgRNA and DNA donors, and introducing a Flag tag in the 3' end of the ER alpha co-transcription factor NCOA1 gene; and establishing a stable cell line with the Flag tag. Compared with the prior art, the method has the advantages that gene editing is performed by utilizing the CRISPR/Cas9 technology, so that the tag insertion efficiency of the gene editing is greatly improved; more importantly, chromatin structure parameters are introduced for designing sgRNA, so that effective cutting of Cas9 at a target site of a genome is ensured; and positive clone screening is performed by adopting DNA sequencing and RT-PCR sequencing methods, so that the positive clone identification step is simplified and the manpower and material resources for screening are reduced.
Owner:TONGJI UNIV

Anti-cancer compounds and methods of use thereof

The present invention relates to a novel class of anti-cancer compounds which selectively target androgen receptor (AR)-expressing cancer cells, such as prostate cancer cells and breast cancer cells. These agents comprise an androgen receptor (AR) binding moiety, which selectively targets the compounds to (AR)-expressing cancer cells, and a cytotoxic ablating moiety, such as a nitrogen mustard moiety. The inherent high density expression of the androgen receptor in certain cancers, such as prostate cancer and breast cancer, is thus used as a tool to selectively increase the intracellular concentration of cytotoxic compounds, such as alkylating agents, e.g. DNA alkylating agents, by selectively targeting the agents to the AR-expressing cancer cells. These agents, either alone or in a composition, are thus useful for treating, delaying the progression of, treating the recurrence of, suppressing, inhibiting or reducing the incidence of cancers characterized by the presence of AR-expressing cells, such as prostate cancer. Accordingly, the present invention provides a) methods of selectively killing an (AR)-expressing cancer cell; b) methods of inducing apoptosis in an (AR)-expressing cancer cell; c) methods of treating a cancer characterized by the presence of AR-expressing cells in a subject; d) methods of delaying the progression of a cancer characterized by the presence of AR-expressing cells in a subject; e) methods of treating the recurrence of a cancer characterized by the presence of AR-expressing cells in a subject; f) methods of suppressing, inhibiting or reducing the incidence of a cancer characterized by the presence of AR-expressing cells in a subject; and g) methods of treating metastasis of a cancer characterized by the presence of AR-expressing cells in a subject; by administering to the subject or by contacting the cancer cells with a compound comprising an androgen receptor ligand moiety and an alkylating moiety, such as the novel compounds described herein.
Owner:GTX INCORPORATED

Classification method and system for cancer digital pathological cell image

ActiveCN106127255AOvercoming diversityOvercome irregularities and many other problemsCharacter and pattern recognitionLearning machineClassification methods
The invention provides a classification method and a classification system for cancer digital pathological cell images. According to the classification method and the classification system, a suspected lesion region of interest is subjected to block processing, the suspected lesion region after block processing is subjected to feature extraction by utilizing partial matching pattern textural features, and the extracted features are classified and identified by adopting an extreme learning machine training method, so as to determine benign and malignant tumors and differentiate levels. The classification method and the classification system for the cancer digital pathological cell images utilize the partial matching pattern textural features for conducting feature extraction, analyze the textural features of cells from macroscopic and microscopic aspects, have the advantage of rotation invariance, effectively overcome the problems of diversity, irregularity and the like of cell morphology, provide reliable textural feature information for classification, apply an extreme learning machine to the classification of breast cancer cells, shorten the training time, accelerate the speed of classification and identification, and improve the accuracy of recognition.
Owner:SHENZHEN INST OF ADVANCED TECH

Products and preparation method of double chimeric antigen receptor gene modified T lymphocyte targeting breast cancer stem cells

The invention provides a preparation method of a double chimeric antigen receptor gene modified T lymphocyte targeting breast cancer stem cells. The preparation method is characterized in that integrin-associated protein (CD47) and transcriptional coactivator (TAZ) are both highly expressed in breast cancer tissues, especially in the breast cancer stem cells; by established CD47 and TAZ over-expressed breast cancer cells, higher proliferation and metastasis capacity and cancer stem cell features are shown. Extracellular domain of the two breast cancer stem cell antigens CD47 and TAZ are targeted to generate monoclonal strains in specific binding under immunity action, and single-chain antibodies in specific binding with the CD47 and TAZ by genetic recombination are obtained to construct a human CD47 and TAZ containing double chimeric antigen receptor gene recombined to a virus vector to transfect human T lymphocyte. By high expression of the double chimeric antigen receptor gene in specific binding with human CD47 and TAZ expressing breast cancer stem cells, a first signal and a costimulatory signal can be activated to trigger anti-breast-cancer cytotoxicity, and high cytotoxicity in in-vivo and in-vitro anti-cancer experiments is achieved.
Owner:泰州市数康生物科技有限公司
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