Patents by Inventor Christina Curtis

Christina Curtis 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).

  • Methods using chromatin-related nucleic acid signals for performing clinical actions
    Patent number: 12087406
    Abstract: Processes to reveal biological attributes from nucleic acids are provided. In some instances, nucleic acids are used to develop frequency sequence signal maps, construct V-plots, and/or to train computational models. In some instances, trained computational models are used to predict features that reveal biological attributes.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: September 10, 2024
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Christina Curtis, Anshul Bharat Kundaje, Chris Probert
  • Systems and Methods for Assessing Mutational Burden of Neoplasms And Associated Treatments Thereof
    Publication number: 20230392214
    Abstract: Systems and methods for determining a treatment regimen for a neoplasm or a cancer are provided. A treatment regimen can be based on the mutational burden of the neoplasm or the cancer. When the mutational burden is high, the treatment regimen can include a drug that targets the cellular processes that protect the neoplasm or cancer in response to mutational burden.
    Type: Application
    Filed: May 18, 2023
    Publication date: December 7, 2023
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Susanne Tilk, Dmitri A. Petrov, Judith Frydman, Christina Curtis
  • Methods of Treatments Based Upon Molecular Response to Treatment
    Publication number: 20230047712
    Abstract: Methods of treatment based on a breast cancer's biomolecule response to targeted treatment are provided. Expression levels of various biomolecules or histological assessment of infiltrating immune cells after initiation of human epidermal growth factor receptor 2 (HER2) targeted treatment can be used to determine whether a breast cancer will achieve a pathologic complete response. Based on likelihood of a pathologic complete response, a breast cancer can be treated accordingly.
    Type: Application
    Filed: October 29, 2020
    Publication date: February 16, 2023
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Christina Curtis, Katherine McNamara
  • Methods of Treatments Based Upon Molecular Characterization of Breast Cancer
    Publication number: 20220359084
    Abstract: Stratification of risk and methods of treatment based on a breast cancer's molecular profile are provided. Copy number aberrations of various genomic loci and expression levels of various genes are used to molecularly subtype patients and in some instances to determine a breast cancer's aggressiveness and risk of relapse. Breast cancers having a particular molecular subtype with an associated risk of relapse can be stratified and therapeutically targeted.
    Type: Application
    Filed: September 16, 2020
    Publication date: November 10, 2022
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Christina Curtis, Jose A. Seoane Fernandez
  • Systems and Methods to Identify Pancreatic Ductal Adenocarcinoma and Uses Thereof
    Publication number: 20220273684
    Abstract: Embodiments herein describe systems and methods to identify and treat pancreatic ductal adenocarcinoma (PDAC) based on cell of origin. Various embodiments comprise assessing transcriptomic data to identify gene expression profiles for the cancer. Based on type of cancer, additional embodiments treat individuals for PDAC. Further embodiments identify possible treatments for a PDAC tumor, by screening effective treatments, including drugs.
    Type: Application
    Filed: March 1, 2022
    Publication date: September 1, 2022
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Laura D. Attardi, Christina Curtis, Brittany M. Flowers, Hang Xu, Jose A. Seoane Fernandez
  • Methods of Treatments Based Upon Anthracycline Responsiveness
    Publication number: 20220233563
    Abstract: Methods of treatment based on a neoplasm's responsiveness to anthracycline are provided. Chromatin accessibility or expression levels of chromatin regulatory genes are used in some instances to determine whether a neoplasm will respond to anthracycline treatment. Anthracyclines are utilized to treat various individuals' neoplasms and cancers, as determined by their anthracycline responsiveness.
    Type: Application
    Filed: March 30, 2020
    Publication date: July 28, 2022
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Gerald R. Crabtree, Christina Curtis, Jose A. Seoane Fernandez, Jacob G. Kirkland
  • Diagnostics and Treatments Based Upon Molecular Characterization of Colorectal Cancer
    Publication number: 20220228221
    Abstract: Diagnostics and treatments based on a colorectal cancer's genetic aberrations are provided. Combinations of various genes harboring genetic aberrations are used to molecularly subtype patients and in some instances to determine a colorectal cancer's metastatic potential. In some instances, a of colorectal cancer having a particular set of genes harboring genetic aberrations is treated with a targeted therapy specific targeting the oncogenic genes.
    Type: Application
    Filed: June 17, 2020
    Publication date: July 21, 2022
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventor: Christina Curtis
  • Methods Using Nucleic Acid Signals for Revealing Biological Attributes
    Publication number: 20190287654
    Abstract: Processes to reveal biological attributes from nucleic acids are provided. In some instances, nucleic acids are used to develop frequency sequence signal maps, construct V-plots, and/or to train computational models. In some instances, trained computational models are used to predict features that reveal biological attributes.
    Type: Application
    Filed: March 15, 2019
    Publication date: September 19, 2019
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Christina Curtis, Anshul Bharat Kundaje, Chris Probert