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1. (WO2019042380) HIERARCHICAL MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREES OF COLORECTAL TUMORS AND APPLICATION THEREOF
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Pub. No.: WO/2019/042380 International Application No.: PCT/CN2018/103357
Publication Date: 07.03.2019 International Filing Date: 30.08.2018
IPC:
G01N 33/68 (2006.01) ,G01N 33/574 (2006.01) ,G01N 1/30 (2006.01)
G PHYSICS
01
MEASURING; TESTING
N
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33
Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48
Biological material, e.g. blood, urine; Haemocytometers
50
Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
68
involving proteins, peptides or amino acids
G PHYSICS
01
MEASURING; TESTING
N
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33
Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48
Biological material, e.g. blood, urine; Haemocytometers
50
Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
53
Immunoassay; Biospecific binding assay; Materials therefor
574
for cancer
G PHYSICS
01
MEASURING; TESTING
N
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
1
Sampling; Preparing specimens for investigation
28
Preparing specimens for investigation
30
Staining; Impregnating
Applicants:
立森印迹诊断技术有限公司 LISEN IMPRINTING DIAGNOSTICS, INC. [US/US]; 美国得拉华州肯特郡多佛市 格林A套8号 No.8, Suite A, The Green Dover County of Kent, Delaware 19901, US
李星 LI, Xing [CN/CN]; CN
Inventors:
成彤 CHENG, Tong; CN
周宁 ZHOU, Ning; CN
Agent:
北京品源专利代理有限公司 BEYOND ATTORNEYS AT LAW; 中国北京市 海淀区莲花池东路39号西金大厦6层 F6, Xijin Centre 39 Lianhuachi East Rd., Haidian District Beijing 100036, CN
Priority Data:
201710774223.731.08.2017CN
201810934234.116.08.2018CN
Title (EN) HIERARCHICAL MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREES OF COLORECTAL TUMORS AND APPLICATION THEREOF
(FR) MODÈLE HIÉRARCHIQUE DE DÉTECTION DE DEGRÉS BÉNINS ET MALINS DE TUMEURS COLORECTALES ET APPLICATION DE CE DERNIER
(ZH) 一种用于检测结直肠肿瘤良恶性程度的分级模型及其应用
Abstract:
(EN) The present invention relates to a hierarchical model for detecting colorectal tumors and an application thereof, wherein the model grades the change of an imprinted gene in a colorectal tumor by means of calculating the defect expression amount of the imprinted gene, copy number variation expression amount of the imprinted gene and total expression amount of the imprinted gene. The described detection model and device visually express the performance of imprinting defect in the tissue and cell samples of a colorectal tumor patient, and detect the change in an imprinted gene objectively, visually, early and accurately by means of the method of in situ labeling for the imprinted gene. In addition, the detection model and device may provide quantitative models, which makes a significant contribution to the diagnosis of colorectal tumors.
(FR) La présente invention concerne un modèle hiérarchique de détection de tumeurs colorectales et une application de ce dernier, le modèle échelonnant le changement d'un gène imprimé dans une tumeur colorectale au moyen du calcul de la quantité d'expression de défaut du gène imprimé, de la quantité d'expression de variation du nombre de copies du gène imprimé et de la quantité d'expression totale du gène imprimé. Le modèle et le dispositif de détection de l'invention expriment visuellement les performances d'un défaut d'impression dans les échantillons de tissu et de cellule d'un patient atteint d'une tumeur colorectale, et détectent le changement dans un gène imprimé de manière objective, visuelle, précoce et précise au moyen du procédé de marquage in situ pour le gène imprimé. De plus, le modèle de détection et le dispositif permettent de fournir des modèles quantitatifs, ce qui apporte une contribution considérable au diagnostic de tumeurs colorectales.
(ZH) 涉及一种用于检测结直肠肿瘤的分级模型及其应用,所述模型通过计算印记基因缺失表达量、印记基因拷贝数异常表达量和印记基因总表达量对印记基因在结直肠肿瘤中的变化进行分级。所述检测模型和装置,以直观的方法表现了印记缺失在结直肠肿瘤病人的组织和细胞样本上的表现,通过对印记基因原位标记的方法,客观、直观、早期、精确地检测出印记(迹)基因的变化,并可以提供量化的模型,为结直肠肿瘤的诊断做出巨大贡献。
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Chinese (ZH)
Filing Language: Chinese (ZH)