THERAPEUTIC AGENT FOR CANCER
    1.
    发明申请

    公开(公告)号:US20220241315A1

    公开(公告)日:2022-08-04

    申请号:US17596137

    申请日:2020-05-29

    Abstract: An object of the present invention is to provide a nucleic acid medicine for cancer treatment that makes it possible to treat cancer effectively. miR-4711-5p can suppress the expression of KLF5, TFDP1, and MDM2, as a result suppressing the proliferation, infiltration, and migration of cancer cells effectively, inducing apoptosis and G1 arrest, and also lowering stemness.

    CANCER STEM CELL GROWTH INHIBITOR USING miRNA

    公开(公告)号:US20210052627A1

    公开(公告)日:2021-02-25

    申请号:US16498986

    申请日:2018-03-30

    Abstract: The purpose of the present invention is to provide a nucleic acid medication for cancer treatment, the medication being capable of suppressing the growth of cancer stem cells and thus effectively treating cancer. hsa-miR-136-5p, hsa-miR-3065-3p, hsa-miR-4727-5p, hsa-miR-378g, hsa-miR-181a-5p, hsa-miR-362-5p, and hsa-miR-608 have remarkably excellent growth inhibitory action on cancer stem cells and are thus useful as a nucleic acid medication for the treatment of various cancers.

    CANCER STEM CELL
    4.
    发明申请
    CANCER STEM CELL 审中-公开

    公开(公告)号:US20200040307A1

    公开(公告)日:2020-02-06

    申请号:US16499094

    申请日:2018-03-30

    Abstract: The purpose of the present invention is to provide: a cancer stem cell having an excellent ability to form tumor tissue; and a method for establishing the cancer stem cell. Cells having a low metabolic function of 26S proteasome are isolated and concentrated from a cancer stem cell group containing cancer stem cells, thereby obtaining cancer stem cells which can form tumor tissue in a living body even when the number of cells is 200 or less.

    Image analysis method, image analysis device, image analysis system, and storage medium

    公开(公告)号:US11321841B2

    公开(公告)日:2022-05-03

    申请号:US16766333

    申请日:2018-11-05

    Abstract: In order to assess, with high accuracy, a degree of a change having occurred in a structure, the present invention includes: a Betti number calculating section (42) configured to (I) generate, with respect to a single captured image obtained by capturing an image of a structure, a plurality of binarized images having respective binarization reference values different from each other and (II) calculate, for each of the plurality of binarized images, a first characteristic numerical value indicative of the number of connected regions each of which is obtained by connecting pixels each having one of pixel values obtained by binarization; and a prediction score determining section (44) configured to determine, in accordance with a result of a comparison, information on a change having occurred in the structure, the comparison having been made between (i) a pattern indicative of a relationship between (a) the respective binarization reference values and (b) the first characteristic numerical value and (ii) a predetermined reference pattern.

    Image analysis method, storage medium, image analysis device, and image analysis system

    公开(公告)号:US12039722B2

    公开(公告)日:2024-07-16

    申请号:US17442499

    申请日:2020-02-12

    Abstract: By analyzing an image of a cell sample, whether a cell shown in the image is cancerous or not, the type of cancer, etc. are objectively and appropriately determined. An image analyzing device (1) includes: a binarizing section (41) which carries out a binarizing process a plurality of times with respect to a single captured image so as to generate a plurality of binarized images, the binarizing section carrying out the binarizing process each time the binarizing section varies a binarization reference value; a Betti number calculating section (42) which calculates a region number, which indicates the number of hole-shaped regions, with respect to each of the plurality of binarized images which have been generated; and a cancer determining section (43) which determines a type of cancer occurring in a cell included in tissue, on the basis of the binarization reference value which has been applied at a time of generation of one of the plurality of binarized images with respect to which one the region number has a given value.

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