The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 28, 2023

Filed:

Feb. 20, 2018
Applicant:

Biodesix, Inc., Boulder, CO (US);

Inventors:

Arni Steingrimsson, Steamboat Springs, CO (US);

Heinrich Röder, Steamboat Springs, CO (US);

Joanna Röder, Steamboat Springs, CO (US);

Assignee:

BIODESIX INC., Boulder, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/50 (2006.01); H01J 49/00 (2006.01); H01J 49/16 (2006.01); H01J 49/40 (2006.01); G01N 33/49 (2006.01);
U.S. Cl.
CPC ...
H01J 49/0036 (2013.01); G01N 33/49 (2013.01); H01J 49/164 (2013.01); H01J 49/40 (2013.01);
Abstract

A method of predicting whether an MDS patient has a good or poor prognosis uses a general purpose computer configured as a classifier and mass-spectrometry data obtained from a blood-based sample. The classifier assigns a classification label of either Early or Late (or the equivalent) to the patient's sample. Patients classified as Early are predicted to have a poor prognosis or worse survival whereas those patients classified as Late are predicted to have a relatively better prognosis and longer survival time. The groupings demonstrated a large effect size between groups in Kaplan-Meier analysis of survival. Most importantly, while the classifications generated were correlated with other prognostic factors, such as IPSS score and genetic category, multivariate and subgroup analysis showed that they had significant independent prognostic power complementary to the existing prognostic factors.


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