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1. (WO2018085862) METHODS OF IDENTIFYING SOMATIC MUTATIONAL SIGNATURES FOR EARLY CANCER DETECTION
Latest bibliographic data on file with the International Bureau    Submit observation

Pub. No.: WO/2018/085862 International Application No.: PCT/US2017/060472
Publication Date: 11.05.2018 International Filing Date: 07.11.2017
IPC:
C12Q 1/6886 (2018.01) ,G06F 19/18 (2011.01) ,G06F 19/24 (2011.01)
Applicants: GRAIL, INC.[US/US]; 1525 O'Brien Drive Menlo Park, California 94025, US
Inventors: VENN, Oliver Claude; --
Agent: PELLETIER, Benjamin C.; US
Priority Data:
62/418,63907.11.2016US
62/469,98410.03.2017US
62/569,51907.10.2017US
Title (EN) METHODS OF IDENTIFYING SOMATIC MUTATIONAL SIGNATURES FOR EARLY CANCER DETECTION
(FR) PROCÉDÉS D'IDENTIFICATION DE SIGNATURES MUTATIONNELLES SOMATIQUES POUR LA DÉTECTION PRÉCOCE DU CANCER
Abstract: front page image
(EN) Aspects of the invention include methods and systems for identifying somatic mutational signatures for detecting, diagnosing, monitoring and/or classifying cancer in a patient known to have, or suspected of having cancer. In various embodiments, the methods of the invention use a non-negative matrix factorization (NMF) approach to construct a signature matrix that can be used to identify latent signatures in a patient sample for detection and classification of cancer. In some embodiments, the methods of the invention may use principal components analysis (PCA) or vector quantization (VQ) approaches to construct a signature matrix.
(FR) La présente invention concerne, selon certains aspects, des procédés et des systèmes pour identifier des signatures mutationnelles somatiques afin de détecter, de diagnostiquer, de surveiller et/ou de classer un cancer chez un patient ayant, ou susceptible d'avoir, un cancer. Selon divers modes de réalisation, les procédés de l'invention utilisent une approche de factorisation matricielle non négative (FMN) pour construire une matrice de signature qui peut être utilisée pour identifier des signatures latentes dans un échantillon de patient afin de détecter et de classer un cancer. Selon certains modes de réalisation, les procédés de l'invention peuvent utiliser des approches d'analyse de composantes principales (ACP) ou de quantification vectorielle (QV) pour construire une matrice de signature.
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: English (EN)
Filing Language: English (EN)