Patents by Inventor Christopher Yankaskas

Christopher Yankaskas 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).

  • Patent number: 12493037
    Abstract: The present invention describes an integrated apparatus that enables identification of invasive tumor cells directly from a specimen. The methods using the apparatus can be used to prognose or predict the survivability of the cancer in a subject and the risk of recurrence of the cancer in the subject after treatment. The methods disclosed herein can be used to determine which chemotherapeutic or other therapies most strongly inhibit the tumor cells invasiveness as a form of personalized therapy.
    Type: Grant
    Filed: August 9, 2023
    Date of Patent: December 9, 2025
    Assignee: The Johns Hopkins University
    Inventors: Konstantinos Konstantopoulos, Colin Paul, Alfredo Quinones-Hinojosa, Sagar Ramesh Shah, Alejandro Ruiz-Valls, Christopher Yankaskas, Juan Carlos Martinez-Gutierrez, Bin Sheng Wong
  • Publication number: 20240044898
    Abstract: The present invention describes an integrated apparatus that enables identification of invasive tumor cells directly from a specimen. The methods using the apparatus can be used to prognose or predict the survivability of the cancer in a subject and the risk of recurrence of the cancer in the subject after treatment. The methods disclosed herein can be used to determine which chemotherapeutic or other therapies most strongly inhibit the tumor cells invasiveness as a form of personalized therapy.
    Type: Application
    Filed: August 9, 2023
    Publication date: February 8, 2024
    Inventors: Konstantinos Konstantopoulos, Colin Paul, Alfredo Quinones-Hinojosa, Sagar Ramesh Shah, Alejandro Ruiz-Valls, Christopher Yankaskas, Juan Carlos Martinez-Gutierrez, Bin Sheng Wong
  • Publication number: 20230357856
    Abstract: Disclosed herein are methods for identifying a subject with an increased risk of short survival and/or recurrence of glioblastoma or breast cancer, the methods comprising: a) obtaining a brain or breast tissue sample or having obtained a brain or breast tissue sample from a subject; b) determining gene expression levels of one or more of PLK3, FOSL1, ADM, PLAU, VEGFA, NQOI, HMOX1, PGKI, and HPCAL1 in the sample from the subject. Also disclosed herein are diagnostic devices comprising one or more biomarkers, wherein the biomarkers are one or more of PLK3, FOSL1, ADM, PLAU, VEGFA, NQOI, HMOX1, PGKI, and HPCAL1; and a gene expression panel consisting of primers or probes for detecting one or more of DUSP5, PLK3, PPPIR15A, FOSL1, CDKNIA, KLF6, VDR, ARL4C, ADM, PLAU, VEGFA, NQOI, HMOX1, PGKI, LITAF, HPCALI and FTH1 in a sample, and methods for assessing risk of recurrence of glioblastoma or breast cancer in a subject.
    Type: Application
    Filed: September 14, 2021
    Publication date: November 9, 2023
    Inventors: Konstantinos Konstantopoulos, Bin Sheng Wong, Christopher Yankaskas
  • Patent number: 11747338
    Abstract: The present invention describes an integrated apparatus that enables identification of invasive tumor cells directly from a specimen. The methods using the apparatus can be used to prognose or predict the survivability of the cancer in a subject and the risk of recurrence of the cancer in the subject after treatment. The methods disclosed herein can be used to determine which chemotherapeutic or other therapies most strongly inhibit the tumor cells invasiveness as a form of personalized therapy.
    Type: Grant
    Filed: December 2, 2016
    Date of Patent: September 5, 2023
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Konstantinos Konstantopoulos, Colin Paul, Alfredo Quinones-Hinojosa, Sagar Ramesh Shah, Alejandro Ruiz-Valls, Christopher Yankaskas, Juan Carlos Martinez-Gutierrez, Bin Sheng Wong
  • Publication number: 20200249232
    Abstract: The present invention describes an integrated apparatus that enables identification of invasive tumor cells directly from a specimen. The methods using the apparatus can be used to prognose or predict the survivability of the cancer in a subject and the risk of recurrence of the cancer in the subject after treatment. The methods disclosed herein can be used to determine which chemotherapeutic or other therapies most strongly inhibit the tumor cells invasiveness as a form of personalized therapy.
    Type: Application
    Filed: December 2, 2016
    Publication date: August 6, 2020
    Inventors: Konstantinos Konstantopoulos, Colin Paul, Alfredo Quinones-Hinojosa, Sagar Ramesh Shah, Alejandro Ruiz-Valls, Christopher Yankaskas, Juan Carlos Martinez-Gutierrez, Bin Sheng Wong