The University of North Carolina at Chapel Hill

Roche Molecular Systems, Inc.

Roche Diagnostics Gmbh

F. Hoffmann-la Roche Ag

Jen Jen Yeh

George A Martin

Steven A Soper

Makgorzata Witek

Naim Ur Rashid

Richard Moffitt

Mary Napier

James Byrne

Jonathan Pillai

Joseph Desimone

Mary E Napier

Lukas Miller Roush

Matt Parrott

Steven Soper

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.

Platform and sample type independent single sample classifier for treatment decision making in pancreatic ductal adenocarcinoma cancer

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).

Gene-expression based subtyping of pancreatic ductal adenocarcinoma

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.

Interventional drug delivery system and associated methods

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.

In Vitro capture and analysis of circulating tumor cells

In vitro capture and analysis of circulating tumor cells

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Chapel Hill, NC, United States of America

Jen Jen Yeh