IP Library Granted Patent US 11,733,249
Granted Patent B2
US 11,733,249 · App. 16/186,953 · Granted Aug 22, 2023

Methods and algorithms for aiding in the detection of cancer

Inventors: Michael Lebowitz (Baltimore, MD); Ronald Shore (Rockville, MD)
Assignee: 20/20 GeneSystems Inc.
G01N33/6893G01N33/57484G01N2800/50G01N2800/60
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Quick Facts
Patent No.
US 11,733,249
App. No.
16/186,953
Granted
Aug 22, 2023
Kind
B2
Abstract

A method of data interpretation from a multiplex cancer assay is described. The aggregate normalized score from the assay is transformed to a quantitative risk score quantifying a human subject's increased risk for the presence of cancer as compared to the known prevalence of the cancer in the population before testing the subject.

Claims (20)

1. A method of identifying and treating an asymptomatic human subject with a risk for increased lung cancer, compared to an at-risk cohort, wherein individuals in the at-risk cohort are aged 50 years or older and have at least a 20 pack year history of smoking tobacco, comprising:

a) obtaining a sample from the human subject asymptomatic for lung cancer, wherein the sample is blood, blood serum, blood plasma, or some part thereof;

b) measuring a panel of markers in the sample, wherein at least one of the markers is selected from CEA, CA125, Cyfra 21-1, or Pro-GRP;

c) determining a composite score for the human subject based on the measured panel of markers;

d) quantifying the risk for a presence of lung cancer for the asymptomatic human subject as a risk score, wherein the composite score is matched to a risk category of the at-risk cohort wherein each risk category comprises a multiplier indicating increased likelihood of having lung cancer

e) administering a computerized tomography (CT) scan to the human subject with a quantified increased risk for the presence of lung cancer and,

surgically removing cancerous tumors identified on the CT scan.

2. The method of claim 1 , wherein the the risk categories of the at-risk cohort are determined from positive predictive scores of retrospective samples.

3. The method of claim 1 , wherein the risk category further comprises a risk identifier.

4. The method of claim 3 , wherein the risk identifier is selected from low risk, intermediate-low risk, intermediate risk, intermediate-high risk and high risk.

5. A method of identifying and treating an asymptomatic human subject with a risk for increased lung cancer, as compared to an at-risk cohort, wherein individuals in the at-risk cohort are aged 50 years or older and have at least a 20 pack year history of smoking tobacco, comprising:

a) obtaining the sample from a human subject asymptomatic for lung cancer, wherein the sample is blood, blood serum, blood plasma, or some part thereof;

b) measuring a panel of markers in the sample comprising the markers CEA, CA125, and Cyfra 21-1;

c) determining a composite score for the human subject based on the measured panel of markers;

d) quantifying the risk for a presence of lung cancer for the asymptomatic human subject as a risk score, wherein the composite score is matched to a risk category of the at-risk cohort wherein each risk category comprises a multiplier indicating increased likelihood of having lung cancer;

e) administering a computerized tomography (CT) scan to the human subject with a quantified increased risk for the presence of lung cancer; and,

surgically removing cancerous tumors identified on the CT scan.

6. The method of claim 5 , wherein the the risk categories of the at-risk cohort are determined from positive predictive scores of retrospective samples.

7. The method of claim 5 , wherein the risk category further comprises a risk identifier.

8. The method of claim 5 , wherein the risk identifier is selected from low risk, intermediate-low risk, intermediate risk, intermediate-high risk and high risk.

Assignments (2)
SECURITY INTEREST Recorded Dec 10, 2025
From: 20/20 BIOLABS, INC.
To: STREETERVILLE CAPITAL, LLC
Reel/Frame 073174/0318 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 12, 2018
From: LEBOWITZ, MICHAEL; SHORE, RONALD
To: 20/20 GENESYSTEMS, INC.
Reel/Frame 047475/0961 →
Continuity (4)
Continuation 15483218 · Apr 10, 2017
Division 13718457 · Dec 18, 2012
Provisional Application 61577083 · Dec 18, 2011
Related Publication 20190178895A1 · Jun 13, 2019