Patents by Inventor Jen Jen Yeh
Jen Jen Yeh 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).
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Publication number: 20250066856Abstract: Provided are methods for identifying pancreatic cancer subtypes in a subject and treating the same. In some embodiments, the method comprise obtaining gene expression levels for each of the following genes in the biological sample: GPR87, KRT6A, BCAR3, PTGES, ITGA3, C16orf74, S100A2, KRTS, REG4, ANXA10, GATA6, CLDN18, LGALS4, DDC, SLC40A1, CLRN3; performing pair-wise comparisons of gene expression levels for combinations of these genes; and calculating a Raw Score for the biological sample, wherein the Raw Score is indicative of the pancreatic cancer subtype in the subject. Also provided are methods for identifying differential treatment strategies for subjects diagnosed with PDAC, methods for treating PDAC patients based on the subtype of PDAC the patients have; and methods for classifying subjects diagnosed with PDAC as having a basal-like subtype or a classical subtype of PDAC.Type: ApplicationFiled: April 29, 2024Publication date: February 27, 2025Applicant: The University of North Carolina at Chapel HillInventors: Jen Jen Yeh, Richard Moffitt, Naim Ur Rashid
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Patent number: 12000003Abstract: Provided are methods for identifying pancreatic cancer subtypes in a subject and treating the same. In some embodiments, the method comprise obtaining gene expression levels for each of the following genes in the biological sample: GPR87, KRT6A, BCAR3, PTGES, 1TGA3, C16orf74, S100A2, KRT5, REG4, ANXA10, GATA6, CLDN18, LGALS4, DDC, SLC40A1, CLRN3; performing pair-wise comparisons of gene expression levels for combinations of these genes, and calculating a Raw Score for the biological sample, wherein the Raw Score is indicative of the pancreatic cancer subtype in the subject. Also provided are methods for identifying differential treatment strategies for subjects diagnosed with PDAC, methods for treating PDAC patients based on the subtype of PD AC the patients have; and methods for classifying subjects diagnosed with PDAC as having a basal-like subtype or a classical subtype of PDAC.Type: GrantFiled: April 1, 2020Date of Patent: June 4, 2024Assignee: The University of North Carolina at Chapel HillInventors: Jen Jen Yeh, Richard Moffitt, Naim Ur Rashid
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Publication number: 20220170109Abstract: Provided are methods for identifying pancreatic cancer subtypes in a subject and treating the same. In some embodiments, the method comprise obtaining gene expression levels for each of the following genes in the biological sample: GPR87, KRT6A, BCAR3, PTGES, 1TGA3, C16orf74, S100A2, KRT5, REG4, ANXA10, GATA6, CLDN18, LGALS4, DDC, SLC40A1, CLRN3; performing pair-wise comparisons of gene expression levels for combinations of these genes, and calculating a Raw Score for the biological sample, wherein the Raw Score is indicative of the pancreatic cancer subtype in the subject. Also provided are methods for identifying differential treatment strategies for subjects diagnosed with PDAC, methods for treating PDAC patients based on the subtype of PD AC the patients have; and methods for classifying subjects diagnosed with PDAC as having a basal-like subtype or a classical subtype of PDAC.Type: ApplicationFiled: April 1, 2020Publication date: June 2, 2022Applicant: The University of North Carolina at Chapel HillInventors: Jen Jen Yeh, Richard Moffitt, Naim Ur Rashid
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Publication number: 20220165363Abstract: Provided are methods for de novo deconvoluting of datasets with multiple samples and/or estimating compartment weights for single samples. In some embodiments, the methods include applying the process or processes to a dataset with multiple samples or to a single sample, whereby the dataset is deconvoluted and/or a compartment weight is estimated. In some embodiments, the dataset relates to RNA sequence and/or gene expression data, optionally tumor RNA sequence and/or gene expression data, wherein the tumor is in some embodiments a pancreatic tumor, a prostate cancer, a bladder cancer, or a breast cancer.Type: ApplicationFiled: March 23, 2020Publication date: May 26, 2022Applicant: The University of North Carolina at Chapel HillInventors: Jen Jen Yeh, Xianlu (Laura) Peng
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Publication number: 20220127676Abstract: Methods for generating a prognostic and/or subtype signature for a subject with pancreatic ductal adenocarcinoma (PDAC) are provided. In some embodiments, the methods include determining expression levels for one or more genes listed in Tables 2-5, 9, 10, or 11, and/or the DE-S and/or DE-T subset of genes in PDAC cells obtained from the subject, wherein the determining provides a prognostic and/or subtype signature for the subject. Also provided are methods for classifying a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC) as having an activated stroma subtype or a normal stroma subtype of PDAC and/or a basal subtype or a classical subtype of PDAC; and methods for identifying a differential treatment strategy for a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC).Type: ApplicationFiled: June 2, 2021Publication date: April 28, 2022Applicant: The University of North Carolina at Chapel HillInventors: Richard Moffitt, Jen Jen Yeh, Naim Ur Rashid
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Patent number: 11053550Abstract: Methods for generating a prognostic and/or subtype signature for a subject with pancreatic ductal adenocarcinoma (PDAC) are provided. In some embodiments, the methods include determining expression levels for one or more genes listed in Tables 2-5, 9, 10, or 11, and/or the DE-S and/or DE-T subset of genes in PDAC cells obtained from the subject, wherein the determining provides a prognostic and/or subtype signature for the subject. Also provided are methods for classifying a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC) as having an activated stroma subtype or a normal stroma subtype of PDAC and/or a basal subtype or a classical subtype of PDAC; and methods for identifying a differential treatment strategy for a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC).Type: GrantFiled: October 14, 2015Date of Patent: July 6, 2021Assignee: The University of North Carolina at Chapel HillInventors: Richard Moffitt, Jen Jen Yeh, Naim Ur Rashid
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Publication number: 20200398049Abstract: A delivery system for local drug delivery to a target site of internal body tissue is provided. The delivery system comprises a source electrode adapted to be positioned proximate to a target site of internal body tissue. A counter electrode is in electrical communication with the source electrode, and is configured to cooperate with the source electrode to form a localized electric field proximate to the target site. A reservoir is configured to be disposed such that the reservoir is capable of interacting with the localized electric field. The reservoir is configured to carry a cargo capable of being delivered to the target site when exposed to the localized electric field. Associated methods are also provided.Type: ApplicationFiled: June 26, 2020Publication date: December 24, 2020Inventors: Joseph DeSimone, Mary Napier, Jonathan Pillai, James Byrne, Lukas Miller Roush, Jen Jen Yeh, Matt Parrott
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Patent number: 10695562Abstract: A delivery system for local drug delivery to a target site of internal body tissue is provided. The delivery system comprises a source electrode adapted to be positioned proximate to a target site of internal body tissue. A counter electrode is in electrical communication with the source electrode, and is configured to cooperate with the source electrode to form a localized electric field proximate to the target site. A reservoir is configured to be disposed such that the reservoir is capable of interacting with the localized electric field. The reservoir is configured to carry a cargo capable of being delivered to the target site when exposed to the localized electric field. Associated methods are also provided.Type: GrantFiled: June 24, 2015Date of Patent: June 30, 2020Assignee: The University of North Carolina at Chapel HillInventors: Joseph DeSimone, Mary Napier, Jonathan Pillai, James Byrne, Lukas Miller Roush, Jen Jen Yeh, Matt Parrott
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Patent number: 9952212Abstract: This invention provides methods and compositions for capturing circulating tumor cells (CTCs) as well as various divergent CTC phenotypes using seprase-specific affinity reagents. Methods of analyzing CTCs and assessing their metastatic potential in vivo and in vitro are also disclosed.Type: GrantFiled: December 18, 2015Date of Patent: April 24, 2018Assignees: Roche Molecular Systems, Inc., The University of North Carolina Chapel HillInventors: George Martin, Steven Soper, Makgorzata Witek, Jen Jen Yeh
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Publication number: 20170233827Abstract: Methods for generating a prognostic and/or subtype signature for a subject with pancreatic ductal adenocarcinoma (PDAC) are provided. In some embodiments, the methods include determining expression levels for one or more genes listed in Tables 2-5, 9, 10, or 11, and/or the DE-S and/or DE-T subset of genes in PDAC cells obtained from the subject, wherein the determining provides a prognostic and/or subtype signature for the subject. Also provided are methods for classifying a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC) as having an activated stroma subtype or a normal stroma subtype of PDAC and/or a basal subtype or a classical subtype of PDAC; and methods for identifying a differential treatment strategy for a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC).Type: ApplicationFiled: October 14, 2015Publication date: August 17, 2017Inventors: Richard Moffitt, Jen Jen Yeh, Naim Ur Rashid
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Publication number: 20160139116Abstract: This invention provides methods and compositions for capturing circulating tumor cells (CTCs) as well as various divergent CTC phenotypes using seprase-specific affinity reagents. Methods of analyzing CTCs and assessing their metastatic potential in vivo and in vitro are also disclosed.Type: ApplicationFiled: December 18, 2015Publication date: May 19, 2016Inventors: George Martin, Steven Soper, Makgorzata Witek, Jen Jen Yeh
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Patent number: 9250242Abstract: This invention provides methods and compositions for capturing circulating tumor cells (CTCs) as well as various divergent CTC phenotypes using seprase-specific affinity reagents. Methods of analyzing CTCs and assessing their metastatic potential in vivo and in vitro are also disclosed.Type: GrantFiled: November 8, 2013Date of Patent: February 2, 2016Assignees: ROCHE MOLECULAR SYSTEMS, INC., THE UNIVERSITY OF NORTH CAROLINAInventors: George Martin, Steven Soper, Makgorzata Witek, Jen Jen Yeh
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Publication number: 20160022985Abstract: A delivery system for local drug delivery to a target site of internal body tissue is provided. The delivery system comprises a source electrode adapted to be positioned proximate to a target site of internal body tissue. A counter electrode is in electrical communication with the source electrode, and is configured to cooperate with the source electrode to form a localized electric field proximate to the target site. A reservoir is configured to be disposed such that the reservoir is capable of interacting with the localized electric field. The reservoir is configured to carry a cargo capable of being delivered to the target site when exposed to the localized electric field. Associated methods are also provided.Type: ApplicationFiled: June 24, 2015Publication date: January 28, 2016Inventors: Joseph DeSimone, Mary Napier, Jonathan Pillai, James Byrne, Lukas Miller Roush, Jen Jen Yeh, Matt Parrott
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Publication number: 20140134646Abstract: This invention provides methods and compositions for capturing circulating tumor cells (CTCs) as well as various divergent CTC phenotypes using seprase-specific affinity reagents. Methods of analyzing CTCs and assessing their metastatic potential in vivo and in vitro are also disclosed.Type: ApplicationFiled: November 8, 2013Publication date: May 15, 2014Applicants: ROCHE MOLECULAR SYSTEMS, INC., THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, BIOFLUIDICA, INCInventors: George Martin, Steven Soper, Makgorzata Witek, Jen Jen Yeh
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Publication number: 20120264639Abstract: Methods for generating a prognostic signature for a subject with pancreatic ductal adenocarcinoma (PDAC) are disclosed. In some embodiments, the methods include determining expression levels for one or more genes selected from among Fos B, KLF6, NFKBIZ, ATP4A, GSG1, and SIGLEC11 in PDAC cells obtained from the subject, wherein the determining provides a prognostic signature for the subject. Also disclosed are methods for assessing risk of an adverse outcome of a subject with pancreatic ductal adenocarcinoma (PDAC), methods for predicting a clinical outcome of a treatment in a subject diagnosed with pancreatic ductal adenocarcinoma (PDAC), methods for predicting a positive or a negative clinical response of a subject with pancreatic ductal adenocarcinoma (PDAC) to a treatment, and arrays for use in the disclosed methods.Type: ApplicationFiled: November 4, 2010Publication date: October 18, 2012Inventor: Jen Jen Yeh
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Publication number: 20110306878Abstract: A delivery system for local drug delivery to a target site of internal body tissue is provided. The delivery system comprises a source electrode adapted to be positioned proximate to a target site of internal body tissue. A counter electrode is in electrical communication with the source electrode, and is configured to cooperate with the source electrode to form a localized electric field proximate to the target site. A reservoir is configured to be disposed such that the reservoir is capable of interacting with the localized electric field. The reservoir is configured to carry a cargo capable of being delivered to the target site when exposed to the localized electric field. Associated methods are also provided.Type: ApplicationFiled: February 25, 2010Publication date: December 15, 2011Applicants: LIQUIDIA TECHNOLOGIES, INC., THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILLInventors: Joseph Desimone, Mary Napier, Jonathan Pillai, James Byrne, Lukas Miller Roush, Jen Jen Yeh, Matt Parrott