IP Library › Granted Patent US 10,309,966
Granted Patent B2
US 10,309,966 · App. 15/312,252 · Granted Jun 4, 2019

Personalized therapy of inflammation-associated cancer using methods of assessing the susceptibility of a subject to the treatment with EGFR inhibitors/antagonists

Inventor: Maria Sibilia (Vienna, AT)
Assignee: Medizinische Universität Wien
G01N33/57419G01N33/57438G01N2333/71G01N2800/50G01N2800/7095
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Quick Facts
Patent No.
US 10,309,966
App. No.
15/312,252
Granted
Jun 4, 2019
Kind
B2
Abstract

The present invention relates to in vitro methods of assessing the susceptibility or responsiveness of a subject to the treatment with an epidermal growth factor receptor (EGFR) inhibitor/antagonist, wherein the subject has been diagnosed or suspected of suffering from inflammation-associated cancer. These methods comprise determining the level of expression of EGFR in myeloid cells in a sample from the subject, wherein an expression of EGFR in the myeloid cells is indicative of the subject being susceptible to the treatment with an EGFR inhibitor/antagonist.

Claims (18)

1. A method of testing a subject for the need of treatment of an inflammation-associated cancer, wherein the subject has or is suspected of having said cancer, and wherein the inflammation-associated cancer is hepatocellular carcinoma or an inflammation-associated intestinal cancer, the method comprising the steps of:

(a) obtaining a sample from the subject that comprises a myeloid cell population, wherein the myeloid cells in the myeloid cell population are CD68-positive macrophage cells and/or Kupffer cells and are from within said cancer or from the tissue adjacent to said cancer;

(b) testing the myeloid cell population to identify that portion of myeloid cells that detectably express EGFR, wherein greater than 5% of myeloid cells in the myeloid cell population detectably express EGFR; and

(c) treating the subject by administering a therapeutically effective amount of an EGFR inhibitor/antagonist to the subject.

2. The method of claim 1 , wherein the subject is a human.

3. The method of claim 1 , wherein greater than 10% of myeloid cells in the myeloid cell population detectably express EGFR.

4. The method of claim 3 , wherein greater than 20% of myeloid cells in the myeloid cell population detectably express EGFR.

5. The method of claim 4 , wherein greater than 30% of myeloid cells in the myeloid cell population detectably express EGFR.

6. The method of claim 1 , wherein the sample is a cancer tissue biopsy sample.

7. The method of claim 1 , wherein the myeloid cells are CD68-positive macrophage cells.

8. The method of claim 1 , wherein the inflammation-associated cancer is hepatocellular carcinoma.

9. The method of claim 1 , wherein the sample is a liver tissue sample.

10. The method of claim 1 , wherein the myeloid cells are Kupffer cells.

11. The method of claim 1 , wherein the inflammation-associated cancer is colorectal cancer.

12. The method of claim 11 , wherein the sample is a colorectal tissue sample or a colorectal polyp.

13. The method of claim 1 , wherein the myeloid cells are identified by determining a level of translation of EGFR therein.

14. The method of claim 13 , wherein the level of translation is determined using an immunohistochemical method, an enzyme-linked immunosorbent assay, or a radioimmunoassay.

15. The method of claim 1 , wherein the EGFR inhibitor/antagonist is selected from the group consisting of gefitinib, erlotinib, lapatinib, afatinib, neratinib, ABT-414, dacomitinib, AV-412, PD 153035, vandetanib, PKI-166, pelitinib, canertinib, icotinib, poziotinib, BMS-690514, CUDC-101, AP26113, XL647, cetuximab, panitumumab, zalutumumab, nimotuzumab, matuzumab, and a pharmaceutically acceptable salt thereof.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 19, 2017
From: SIBILIA, MARIA
To: MEDIZINISCHE UNIVERSITÄT WIEN
Reel/Frame 041291/0426 →
Priority Claims (1)
EP 14169512 · May 22, 2014 · regional
Continuity (1)
Related Publication 20170184595A1 · Jun 29, 2017
Cited By (2)
US 12,435,046 US 12,714,713