G01N33/57407

Method for treatment of blood tumor using anti-TIM-3 antibody

Disclosed is a therapeutic method including administering a TIM-3 antibody or its TIM-3 binding fragment to a subject who is suspected to be suffering from blood tumor and in whom TIM-3 has been expressed in a Lin()CD34(+)CD38() cell fraction of bone marrow or peripheral blood or a subject who has been received any treatment for blood tumor. Conceived diseases include those diseases which can be treated through the binding or targeting of the TIM-3 antibody or its TIM-3 binding fragment to blood tumor cells (AML cells, CML cells, MDS cells, ALL cells, CLL cells, multiple myeloma cells, etc.), helper T cell (e.g., Th1 cells, Th17 cells), and antigen-presenting cells (e.g., dendritic cells, monocytes, macrophages, and cells resembling to the aforementioned cells (hepatic stellate cells, osteoclasts, microglial cells, intraepidermal macrophages, dust cells (alveolar macrophages), etc)).

Anti-IL-6 antibodies for the treatment of oral mucositis

The present invention is directed to therapeutic methods using IL-6 antagonists such as anti-IL-6 antibodies and fragments thereof having binding specificity for IL-6 to prevent or treat mucositis (e.g., oral mucositis) including persons on a treatment regimen with a drug or chemotherapy and/or radiation for cancer (e.g., head and neck cancer) that is associated with increased risk of mucositis, including oral mucositis.

IDENTIFICATION OF IMMUNOGENIC MHC CLASS II PEPTIDES FOR IMMUNE-BASED THERAPY

The invention provides compositions, methods, and vaccines that may stimulate the immune system and that may be used for treating malignancies associated with overexpression of the HER3 protein. Such compositions include epitopes of the HER3 protein.

GENE RELEVANT TO PAPILLARY THYROID TUMORS
20180113133 · 2018-04-26 ·

The invention relates to a gene relevant to papillary thyroid tumors and an application thereof. According to the base sequence of the gene, real-time and quantitative PCR (Polymerase Chain Reaction) primers are designed and synthesized; the expression level of long-chain non-coding RNA (Ribonucleic Acid) transcribed by the gene is detected in a papillary thyroid carcinoma clinical case specimen; the result shows remarkable reducing of the expression level of the long-chain non-coding RNA in papillary thyroid tumor tissues and the long-chain non-coding RNA of the gene silencing can remarkably promote the growth of thyroid cancer cells. The gene relevant to the papillary thyroid tumors is expected to prepare preparations used in papillary thyroid carcinoma auxiliary diagnosis, gene therapy, curative effect prediction or prognosis.

METHOD OF PREDICTING EFFECT OF TREATMENT BY PD-1/PD-L1 BLOCKADE USING ABNORMALITY OF PD-L1 (CD274) AS INDEX

An object of the present invention is to provide an effective method of predicting an effect of treatment by a PD-1/PD-L1 blockade, which is a method of predicting whether or not PD-1/PD-L1 blockade is effective for treatment of a subject suffering from a malignant tumor, which comprises detecting abnormality of genome relating to effectiveness of the PD-1/PD-L1 blockade in a tumor cell taken from the subject and evaluating the PD-1/PD-L1 blockade as useful for the treatment of the subject when there is the abnormality.

NOVEL PEPTIDE, ANTIBODY THEREOF, AND METHOD OF ASSESSING RISK OF ORAL CANCER BY USING PEPTIDE

The present application discloses a THLW peptide, an amino acid sequence of which is represented by SEQ ID No. 1. The THLW peptide can be used as a biomarker for diseases, such as oral cancer and cervical cancer, etc., relating to infection of human papilloma virus (HPV), therefore, THLW peptide as an antigen or an anti-THLW peptide antibody prepared can be used to detect the risk of developing cancer for sample providers.

Methods and Systems for Predicting Colorectal Cancer Incidence and Mortality
20180112274 · 2018-04-26 ·

Disclosed are methods and systems that uses GlycA concentration in biosamples to evaluate risks of CRC incidence and mortality.

Spectral imaging for measurement of nuclear pathology features in cancer cells prepared for in situ analysis

In general, the presently disclosed technology relates to identification of cancer subtypes. More specifically, the technology relates to methods for determining molecular drivers of cancer and/or progression using a multivariate image data and statistical analysis of in-situ molecular markers and morphological characteristics in the same cells of a biological sample suspected of b cancer. This analysis takes place after a single acquisition that obtains the molecular and anatomic morphology data in parallel. The analysis compares specific morphological and molecular markers to known samples exhibiting particular genetic drivers of the cancer. This method provides statistical information that allows for an increased confidence in the identification of specific molecular drivers of the cancer.

Compositions and methods for detecting oral neoplasm
09952219 · 2018-04-24 · ·

Methods and kits for assessing the presence of, and for detecting cancer, notably oral cancer, are disclosed. Such methods and kits use one or more lectins operably linked to a fluorophore, wherein the lectin binds differentially to cancerous and non-cancerous tissues, and wherein the fluorophore facilitates visualizing the differential binding. The lectins are applied to the oral mucosa of a subject, the fluorophore is exposed to light, and cancerous regions of the mucosa are visualized. In certain embodiments, the lectin specifically binds to one or more of a -galactoside, an - or -N-acetylglucosamine, or a sialic acid moiety.

RARE CELL ISOLATION DEVICE AND METHOD OF USE THEREOF
20180106805 · 2018-04-19 ·

This invention concerns patentable devices configured to capture cancer stem cells and cell clusters. After capturing such cells and/or clusters, the cancerous cells are subjected to whole genome sequencing. The resulting genomic sequence information is then compared to that for normal or non-diseased tissue (obtained, for example, from either the same patient, or a population sample, etc.) in order to identify the specific genetic mutation(s) present in the CSCs. Further analysis then correlates the genetic mutations with cell growth signaling pathways typically found with tumor metastases. Armed with this information, an oncologist can then develop a specifically targeted therapy that utilizes approved drugs or drug candidates undergoing clinical testing to address the identified driver mutations and thus effect a targeted therapy tailored to the particular patient's disease.