Invention Grant
- Patent Title: Methods for predicting the survival time and treatment responsiveness of a patient suffering from a solid cancer with a signature of at least 7 genes
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Application No.: US14413856Application Date: 2013-07-12
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Publication No.: US11242564B2Publication Date: 2022-02-08
- Inventor: Jerome Galon , Franck Pages , Bernard Mlecnik , Gabriela Bindea
- Applicant: INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE) , UNIVERSITE PARIS DESCARTES , ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS (APHP)
- Applicant Address: FR Paris; FR Paris; FR Paris
- Assignee: INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE),UNIVERSITE PARIS DESCARTES,ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS (APHP)
- Current Assignee: INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE),UNIVERSITE PARIS DESCARTES,ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS (APHP)
- Current Assignee Address: FR Paris; FR Paris; FR Paris
- Agency: W&C IP
- Priority: EP12305836 20120712
- International Application: PCT/EP2013/064808 WO 20130712
- International Announcement: WO2014/009535 WO 20140116
- Main IPC: C12Q1/6886
- IPC: C12Q1/6886

Abstract:
The present invention relates to a method for predicting the survival time of a patient suffering from a solid cancer comprising i) determining in a tumor sample obtained from the patient the gene expression level of at least 7 genes selected from the group consisting of CCR2, CD3D, CD3E, CD3G, CD8A, CXCL10, CXCL11, GZMA, GZMB, GZMK, GZMM, IL15, IRF1, PRF1, STAT1, CD69, ICOS, CXCR3, STAT4, CCL2, and TBX21, ii) comparing every expression level determined at step i) with their predetermined reference value and iii) providing a good prognosis when all expression levels determined at step i) are higher than their predetermined reference values, or providing a bad prognosis when all expression levels determined at step i) are lower than their predetermined reference values or providing an intermediate prognosis when at least one expression level determined value is higher than its predetermined value. The method is also particularly suitable for predicting the responsiveness of the patient to a treatment.
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