Assessing cancer treatment responsiveness
AssigneeMayo Foundation for Medical Education and Research
InventorsRobert C. Smallridge, John A. Copland
Life of this patent
Estimating the term…
Abstract
This document provides methods and materials related to assessing the effectiveness of cancer treatments in mammals. For example, this document provides nucleic acids and polypeptides that can be analyzed to assess the effectiveness of a treatment (e.g., treatment with a PPARγ agonist) for cancer (e.g., anaplastic thyroid carcinoma) in mammals.
Claims18
A method for assessing the effectiveness of a cancer treatment in a mammal, said method comprising (a) determining whether or not said mammal has a therapeutic response profile, wherein said mammal has received said treatment, and (b) classifying said treatment as effective if said mammal has said therapeutic response profile and classifying said as not being effective if said mammal does not have said therapeutic response profile.
A method for assessing the effectiveness of a cancer treatment in a mammal, said method comprising (a) determining whether or not a mammal having cancer and having received a cancer treatment comprises RhoB nucleic acid or polypeptide at a level that differs from the average level in mammals having cancer and not having received a cancer treatment, and (b) classifying said treatment as effective if said level differs from said average level and classifying said treatment as ineffective if said level does not differ from said average level.
A method for assessing the effectiveness of a cancer treatment in a mammal, said method comprising (a) determining whether or not a mammal having cancer and having received a cancer treatment comprises a BMP2, MMP14, ANGPTL4, or ITGA5 nucleic acid or polypeptide at a level that differs from the average level in mammals having cancer and not having received a cancer treatment, and (b) classifying said treatment as effective if said level differs from said average level and classifying said treatment as ineffective if said level does not differ from said average level.
Dependencies are inferred from the claim text.