University of Pennsylvania

The Wistar Institute

Luke Macyszyn

Louise C Showe

Donald O'Rourke

Ragini Verma

Mark Elliot

Steven Brem

Ramana V Davuluri

Emmanuel Caruyer

Sharmistha Pal

Jeremy Lecoeur

Yingtao Bi

Edema invariant tractography methods are provided. The methods include acquiring data using a multishell, high angular resolution diffusion imaging sequence; (ii) modeling the data using a multi-compartment model; and (iii) reconstructing the fibers through a probabilistic tracking algorithm using a fiber orientation distribution which has streamlines fitted to the output of said probabilistic tracking algorithm.

Edema invariant tractography

An isoform-level gene panel is disclosed that can accurately classify a glioblastoma subtype from a tumor sample. Such an isoform level gene panel comprises the 121 to 214 target isoforms identified in Table 1. Also disclosed are reagents for quantitatively detecting the expression or activity of the target isoforms of Table 1 in a patient sample. For example, such ligands can be PCR primer and probes sets. This isoform-level gene panel and reagents for detection of the isoforms are useful in an isoform-level assay for diagnosis of the molecular subtype of a glioblastoma in a patient. The assay employs algorithms and a novel computer program that performs the functions of FIG.. In one aspect, the assay is a high-throughput format.

Methods and compositions for diagnosis of glioblastoma or a subtype thereof

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Philadelphia, PA, United States of America

Luke Macyszyn