H. Lee Moffitt Cancer Center and Research Institute, Inc.

Leland Stanford Junior University

University of South Florida

Stichting Maastricht Radiation Oncology “Maastro-Clinic”

Robert A Gatenby

Robert J Gillies

Sandy A Napel

Philippe Lambin

Steven A Eschrich

Daniel L Rubin

Sylvia K Plevritis

Andreas L A J Dekker

Dmitry B Goldgof

David L Morse

Lawrence O Hall

Yoganand Balagurunathan

Gary V Martinez

Ariosto Siqueira Silva

Olya Stringfield

Natarajan Raghunand

John Arrington

Arig A Ibrahim Hashim

Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Radiologically identified tumor habitats

An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Systems, methods and devices for analyzing quantitative information obtained from radiological images

A method of treating cancer or inhibiting metastasis in a subject by increasing intratumoral extracellular pH is presented. The method includes administering to the subject a therapeutically effective amount of a buffer having a pKa greater than 6.1. In an advantageous embodiment the pKa of the buffer is about 7.0. Examples of buffers for increasing extracellular pH include NaHCO, 2-imidazole-1-yl-3-ethoxycarbonylpropionic acid (IEPA), cholamine chloride, N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid (BES), N-Tris(hydroxymethyl)methyl-2-aminoethanesulfonic acid (TES) and 4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES). The method can further include the step of pretreating with one or more chemotherapeutic agents.

Method of increasing intratumoral pHe and reducing acid-mediated invasion

Growing community of inventors

Tampa, FL, United States of America

Robert A Gatenby