Patents by Inventor Mark Sausen

Mark Sausen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250166734
    Abstract: The present disclosure relates to somatic mutation determinations. An example method includes performing whole genome sequencing using a high-throughput sequencing system on nucleic acids from a sample obtained from a subject to generate raw data, transmitting the raw data from the high-throughput sequencing system to a computing system, processing the raw data by the computing system to generate candidate variants and a set of feature values for each candidate variant of the candidate variants, processing the feature values by the computing system using a trained machine learning model to identify somatic mutations from the candidate variants, transmitting results based on the somatic mutations from the computing system to an end device, and displaying a report on the end device based on the results.
    Type: Application
    Filed: January 17, 2025
    Publication date: May 22, 2025
    Applicant: Personal Genome Diagnostics Inc.
    Inventors: Samuel V. Angiuoli, Derrick Wood, Andrew Georgiadis, Mark Sausen, James R. White, David Riley
  • Publication number: 20250051757
    Abstract: The present disclosure involves ctDNA assays that interrogate many regions from a single sample with high precision and accuracy, while evaluating multiple forms of cancer-related genomic alterations including sequence mutations and structural alterations. The disclosure provides simplified yet robust methods that achieve high sensitivity and specificity by analyzing cancer genes using a limited pool of non-unique barcodes in combination with endogenous barcodes. Samples are captured and sequenced using high coverage next-generation sequencing to allow tumor-specific somatic mutations, amplifications, and translocations to be identified.
    Type: Application
    Filed: August 26, 2024
    Publication date: February 13, 2025
    Applicant: Personal Genome Diagnostics Inc.
    Inventors: Mark Sausen, Victor Velculescu, Luis Diaz
  • Publication number: 20240425906
    Abstract: Pancreatic adenocarcinoma has the worst overall mortality of any solid tumor, with only 7% of patients surviving after 5 years. To evaluate the clinical implications of genomic alterations in this low cellularity tumor type, we deeply sequenced the genomes of 101 enriched pancreatic adenocarcinomas from patients who underwent potentially curative resections and used non-invasive approaches to examine tumor specific mutations in the circulation of these patients. These analyses revealed somatic mutations in chromatin regulating genes including MLL and ARID1A in 20% of patients that were associated with improved survival. Liquid biopsy analyses of cell free plasma DNA revealed that 43% of patients with localized disease had detectable circulating tumor DNA (ctDNA) in their blood at the time of diagnosis. Detection of ctDNA after resection predicted clinical relapse and poor outcome, and disease recurrence by ctDNA was detected 6.5 months earlier than with standard CT imaging.
    Type: Application
    Filed: December 22, 2023
    Publication date: December 26, 2024
    Inventors: Victor Velculescu, Mark Sausen, Vilmos Adleff, Jillian Phallen
  • Publication number: 20240363245
    Abstract: The present disclosure pertains to techniques that leverage machine learning models to identify tumor-specific mutations through an integrated analysis of next generation sequencing data. In a particular aspect, a computer-implemented method is provided that includes generating sequence reads from one or more samples collected from the same patient, generating variant call files by analyzing the sequence reads corresponding respectively to the one or more samples, comparing variant call files to generate a list of candidate somatic variants, generating, by a classification machine learning model, scores for each of the candidate somatic variants in the list of candidate somatic variants, where the scores are generated based on a plurality of classifications generated by the classification machine learning model, determining, based on the scores, a ctDNA status for the patient, where the ctDNA status is either positive or negative, and generating a report that provides the ctDNA status for the patient.
    Type: Application
    Filed: April 17, 2024
    Publication date: October 31, 2024
    Applicant: Personal Genome Diagnostics, Inc.
    Inventors: Andrew Georgiadis, Mark Sausen, James R. White, Samuel V. Angiuoli, David Riley
  • Publication number: 20230160002
    Abstract: The invention provides methods for determining the MSI status of a patient by liquid biopsy with sample preparation using hybrid capture and non-unique barcodes. In certain aspects, the invention provides a method of detecting microsatellite instability (MSI). The method includes obtaining cell-free DNA (cfDNA) from a sample of blood or plasma from a patient and sequencing portions of the cfDNA to obtain sequences of a plurality of tracts of nucleotide repeats in the cfDNA. A report is provided describing an MSI status in the patient when a distribution of lengths of the plurality of tracts has peaks that deviate significantly from peaks in a reference distribution.
    Type: Application
    Filed: January 18, 2023
    Publication date: May 25, 2023
    Applicant: Personal Genome Diagnostics Inc.
    Inventors: Andrew Georgiadis, Mark Sausen
  • Patent number: 11597967
    Abstract: The invention provides methods for determining the MSI status of a patient by liquid biopsy with sample preparation using hybrid capture and non-unique barcodes. In certain aspects, the invention provides a method of detecting microsatellite instability (MSI). The method includes obtaining cell-free DNA (cfDNA) from a sample of blood or plasma from a patient and sequencing portions of the cfDNA to obtain sequences of a plurality of tracts of nucleotide repeats in the cfDNA. A report is provided describing an MSI status in the patient when a distribution of lengths of the plurality of tracts has peaks that deviate significantly from peaks in a reference distribution.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: March 7, 2023
    Assignee: Personal Genome Diagnostics Inc.
    Inventors: Andrew Georgiadis, Mark Sausen
  • Publication number: 20210108256
    Abstract: Pancreatic adenocarcinoma has the worst overall mortality of any solid tumor, with only 7% of patients surviving after 5 years. To evaluate the clinical implications of genomic alterations in this low cellularity tumor type, we deeply sequenced the genomes of 101 enriched pancreatic adenocarcinomas from patients who underwent potentially curative resections and used non-invasive approaches to examine tumor specific mutations in the circulation of these patients. These analyses revealed somatic mutations in chromatin regulating genes including MLL and ARID1A in 20% of patients that were associated with improved survival. Liquid biopsy analyses of cell free plasma DNA revealed that 43% of patients with localized disease had detectable circulating tumor DNA (ctDNA) in their blood at the time of diagnosis. Detection of ctDNA after resection predicted clinical relapse and poor outcome, and disease recurrence by ctDNA was detected 6.5 months earlier than with standard CT imaging.
    Type: Application
    Filed: October 26, 2020
    Publication date: April 15, 2021
    Inventors: Victor E. Velculescu, Mark Sausen, Vilmos Adleff, Jillian A. Phallen
  • Patent number: 10815522
    Abstract: Pancreatic adenocarcinoma has the worst overall mortality of any solid tumor, with only 7% of patients surviving after 5 years. To evaluate the clinical implications of genomic alterations in this low cellularity tumor type, we deeply sequenced the genomes of 101 enriched pancreatic adenocarcinomas from patients who underwent potentially curative resections and used non-invasive approaches to examine tumor specific mutations in the circulation of these patients. These analyses revealed somatic mutations in chromatin regulating genes including MLL and ARID1A in 20% of patients that were associated with improved survival. Liquid biopsy analyses of cell free plasma DNA revealed that 43% of patients with localized disease had detectable circulating tumor DNA (ctDNA) in their blood at the time of diagnosis. Detection of ctDNA after resection predicted clinical relapse and poor outcome, and disease recurrence by ctDNA was detected 6.5 months earlier than with standard CT imaging.
    Type: Grant
    Filed: February 18, 2016
    Date of Patent: October 27, 2020
    Assignee: The Johns Hopkins University
    Inventors: Victor Velculescu, Mark Sausen, Vilmos Adleff, Jillian Phallen
  • Publication number: 20200248244
    Abstract: The present disclosure involves ctDNA assays that interrogate many regions from a single sample with high precision and accuracy, while evaluating multiple forms of cancer-related genomic alterations including sequence mutations and structural alterations. The disclosure provides simplified yet robust methods that achieve high sensitivity and specificity by analyzing cancer genes using a limited pool of non-unique barcodes in combination with endogenous barcodes. Samples are captured and sequenced using high coverage next-generation sequencing to allow tumor-specific somatic mutations, amplifications, and translocations to be identified.
    Type: Application
    Filed: November 14, 2017
    Publication date: August 6, 2020
    Inventors: Mark Sausen, Victor Velculescu, Luis Diaz
  • Publication number: 20190169685
    Abstract: The invention provides methods for determining the MSI status of a patient by liquid biopsy with sample preparation using hybrid capture and non-unique barcodes. In certain aspects, the invention provides a method of detecting microsatellite instability (MSI). The method includes obtaining cell-free DNA (cfDNA) from a sample of blood or plasma from a patient and sequencing portions of the cfDNA to obtain sequences of a plurality of tracts of nucleotide repeats in the cfDNA. A report is provided describing an MSI status in the patient when a distribution of lengths of the plurality of tracts has peaks that deviate significantly from peaks in a reference distribution.
    Type: Application
    Filed: November 29, 2018
    Publication date: June 6, 2019
    Inventors: Andrew Georgiadis, Mark Sausen
  • Publication number: 20180155770
    Abstract: Pancreatic adenocarcinoma has the worst overall mortality of any solid tumor, with only 7% of patients surviving after 5 years. To evaluate the clinical implications of genomic alterations in this low cellularity tumor type, we deeply sequenced the genomes of 101 enriched pancreatic adenocarcinomas from patients who underwent potentially curative resections and used non-invasive approaches to examine tumor specific mutations in the circulation of these patients. These analyses revealed somatic mutations in chromatin regulating genes including MLL and ARID1A in 20% of patients that were associated with improved survival. Liquid biopsy analyses of cell free plasma DNA revealed that 43% of patients with localized disease had detectable circulating tumor DNA (ctDNA) in their blood at the time of diagnosis. Detection of ctDNA after resection predicted clinical relapse and poor outcome, and disease recurrence by ctDNA was detected 6.5 months earlier than with standard CT imaging.
    Type: Application
    Filed: February 18, 2016
    Publication date: June 7, 2018
    Inventors: Victor Velculescu, Mark Sausen, Vilmos Adleff, Jillian Phallen
  • Publication number: 20180135044
    Abstract: The present disclosure involves ctDNA assays that interrogate many regions from a single sample with high precision and accuracy, while evaluating multiple forms of cancer-related genomic alterations including sequence mutations and structural alterations. The disclosure provides simplified yet robust methods that achieve high sensitivity and specificity by analyzing cancer genes using a limited pool of non-unique barcodes in combination with endogenous barcodes. Samples are captured and sequenced using high coverage next-generation sequencing to allow tumor-specific somatic mutations, amplifications, and translocations to be identified.
    Type: Application
    Filed: November 14, 2017
    Publication date: May 17, 2018
    Inventors: Mark Sausen, Victor Velculescu, Luis Diaz
  • Publication number: 20150252415
    Abstract: Neuroblastomas are tumors of peripheral sympathetic neurons and are the most common solid tumor in children. We performed whole-genome sequencing (6 cases), exome sequencing (16 cases), genome-wide rearrangement analyses (32 cases), and targeted analyses of specific genomic loci (40 cases) using massively parallel sequencing to determine the genetic basis for neuroblastoma. On average, each tumor had 19 somatic alterations in coding genes (range, 3-70). Chromosomal deletions and sequence alterations of chromatin remodeling genes, ARID1A and ARID1B, were identified in 8 of 71 neuroblastomas (11%), and these were associated with early treatment failure and decreased survival. These results highlight dysregulation of chromatin remodeling in pediatric tumorigenesis and provide new approaches for the management of neuroblastoma patients.
    Type: Application
    Filed: October 14, 2013
    Publication date: September 10, 2015
    Applicants: THE CHILDREN'S HOSPITAL OF PHILADELPHIA, THE JOHNS HOPKINS UNIVERSITY
    Inventors: Bert Vogelstein, Kenneth W. Kinzler, Victor Velculescu, Luis Diaz, Nickolas Papadopoulos, Mark Sausen, Rebecca Leary, John Maris, Michael Hogarty