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Systems and methods for identifying cancer treatments from normalized biomarker scores

  • US 10,340,030 B2
  • Filed: 06/12/2018
  • Issued: 07/02/2019
  • Est. Priority Date: 06/13/2017
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • at least one computer hardware processor;

    at least one database that stores biomarker information; and

    at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform;

    obtaining sequencing data about at least one biological sample of a subject known to have or suspected of having cancerous cells or pre-cancerous cells;

    accessing, in the at least one database, biomarker information indicating a distribution of values for each biomarker in at least a reference subset of a plurality of biomarkers across a respective group of people, each of the plurality of biomarkers being associated with at least one therapy in a plurality of therapies, the plurality of biomarkers including a first biomarker and the biomarker information including a distribution of values for the first biomarker;

    determining, using both the sequencing data and the biomarker information;

    a first set of normalized scores for a first set of biomarkers associated with a first therapy in the plurality of therapies,a second set of normalized scores for a second set of biomarkers associated with a second therapy in the plurality of therapies, anda third set of normalized scores for a third set of biomarkers associated with a third therapy in the plurality of therapies, wherein the first set of biomarkers is different from the second set of biomarkers, and wherein determining the first set of normalized scores comprises determining a first normalized score for the first biomarker using the distribution of values for the first biomarker at least in part by;

    determining an un-normalized score for the first biomarker using the sequencing data,determining a Z-score based on the first distribution of values for the first biomarker, anddetermining a normalized score for the first biomarker based on the un-normalized score and the Z-score;

    determining, using the first, second, and third sets of normalized scores and a statistical model, respective first, second, and third therapy scores for the first, second, and third therapies;

    generating a graphical user interface (GUI), wherein the GUI comprises;

    a first portion associated with the first therapy in the plurality of therapies, the first portion including a first plurality of GUI elements, each of the first plurality of GUI elements being associated with a respective biomarker in the first set of biomarkers and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores;

    a second portion associated with the second therapy in the plurality of therapies, the second portion including a second plurality of GUI elements different from the first plurality of GUI elements, each of the second plurality of GUI elements being associated with a respective biomarker in the second set of biomarkers and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and

    a third portion associated with the third therapy in the plurality of therapies, the third portion including a third plurality of GUI elements, each of the third plurality of GUI elements being associated with a respective biomarker in the third set of biomarkers and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the third set of normalized scores; and

    displaying the generated GUI.

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