Invention Application
- Patent Title: DETECTING NEURALLY PROGRAMMED TUMORS USING EXPRESSION DATA
-
Application No.: US17629327Application Date: 2020-07-24
-
Publication No.: US20220262458A1Publication Date: 2022-08-18
- Inventor: Yasin SENBABAOGLU , Christine Carine MOUSSION
- Applicant: Genentech, Inc.
- Applicant Address: US CA South San Francisco
- Assignee: Genentech, Inc.
- Current Assignee: Genentech, Inc.
- Current Assignee Address: US CA South San Francisco
- International Application: PCT/US2020/043363 WO 20200724
- Main IPC: G16B20/00
- IPC: G16B20/00 ; G16B40/30

Abstract:
Embodiments disclosed herein generally relate to classifying a tumor, based on gene expression data, as being neurally related or non-neurally related. The tumor may be classified using a machine-learning model, which may have been trained to differentiate gene-expression data associated with neuronal or neuroendocrine tumors from gene-expression data associated with non-neuronal and non-neuroendocrine tumors. Differential treatment and/or treatment recommendations may be provided based on the classification. First-line checkpoint blockade therapy may be used or recommended when a tumor is identified as being non-neurally related, and a combination therapy (e.g., initial chemotherapy and subsequent checkpoint blockade therapy) may be used or recommended when a tumor is identified as being neurally related.
Public/Granted literature
- US1909833A Manufacture of aldehydes Public/Granted day:1933-05-16
Information query