DISEASE PATHWAY-BASED METHOD TO GENERATE BIOMARKER PANELS TAILORED TO SPECIFIC THERAPEUTICS FOR INDIVIDUALIZED TREATMENTS

• US 20190317077A1
• Filed: 06/03/2019
• Published: 10/17/2019
• Est. Priority Date: 12/12/2007
• Status: Abandoned Application

• Current Assignee: Peter Blume-Jensen
• Original Assignee: Peter Blume-Jensen
• Inventors: Blume-Jensen, Peter
• Application Number:
  US16/430,103
• Publication Number:
  US 20190317077A1
• Time in Patent Office: Days
• CPC Class Codes: G01N 2440/14 phosphorylation
• CPC Class Codes: G01N 2800/7028 Cancer
• CPC Class Codes: G01N 33/5041 involving analysis of members of signalling pathways

Abstract

The increased efficacy and reduced unwanted side effects of drugs can be insured by treating only responsive patients. In an embodiment of the invention, signaling pathways that a particular drug interferes with, are derive together with predictive biomarkers and dynamic biomarker that can read the activity of these pathways before and after drug treatment in order to select a responder patient population. In an alternative embodiment of the invention, certain core pathways that the drug does not interfere with and that are known to be causally involved in a particular disease(s) can be identified, and derive the biomarkers for those to be able to exclude these patients that suffer from a disease in which those drug non effected pathways are involved from being treated with the specific drug in question.

Claims

1. A method of identifying a cancer type of interest, comprising:

(a) establishing a cellular model of cancer space based on two or more cell lines each having one or more disease signaling pathways causally involved in a cancer type of interest;

(b) treating the two or more cell lines with one or more exogenous agents;

(c) using phosphor-antibodies (P-Abs) to analyze phosphopathways of one or more biomarkers before and after treatment with the exogenous agents;

(d) determining the effect of the exogenous agents on an activity state of the one or more disease signaling pathways in the cell lines by identifying at least one of;

(i) abundance of one or more biomarkers, and (ii) post-translational modifications of one or more biomarkers, before and after treatment with the one or more exogenous agents through phosphopathway analysis using phosphor-antibodies (P-Abs);

(e) deriving one or more biomarkers for an activity state of the one or more disease signaling pathways in the cell lines from the one or more biomarkers; and

(f) defining the cancer type based on the one or more disease signaling pathways and responsiveness of the pathways to the one or more exogenous agents.

2. The method of claim 1, wherein the cancer type of interest is a new or previously unknown cancer type with respect to the disease pathway.

3. The method of claim 1, wherein the post-translational modification is phosphorylation.

4. The method of claim 1, wherein the post-translational modification is cellular modification of a protein.

5. The method of claim 1, wherein the phosphopathway analysis is selected from the group consisting of differential phosphoproteomics profiling to identify phosphorsignatures, phosphoantibody multiplexing, reporter assays, degradation of signaling proteins by ubiquitination, other methods of post-translational proteomics profiling by mass spectrometry, and other proteasome-mediated processes.

6. The method of claim 1, wherein at least one of the one or more disease signaling pathways is selected from the group consisting of P-TEN-PI3′

K 510, 610, 710, 810 Ras-Raf-ERK 520, 620, 720, 820 IKK-NFkB 530, 630, 730, 830 JAK-STAT 540, 640, 740, 840 and Src 550, 650, 750, 850 pathways.

7. A method of classifying cancer, comprising:

identifying an alteration involved in a disease pathway.

8. The method of claim 7, wherein the alteration is selected from the group consisting of JAK-STAT 330, Src 340, IKK-NFkB 350, Ras-Raf-ERK 360, and Core PI3′

K 370.