Methods to predict and prevent resistance to taxoid compounds
AssigneeChildren's Medical Center Corporatioin
InventorsBruce R. Zetter, Sabarni K. Chatterjee
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Abstract
Embodiments of the invention are directed to methods for predicting the resistance of cancer to members of the taxoid family by measuring the levels of prohibitin. Methods for treating cancer and taxoid family member resistant cancers using inhibitors of prohibitin, as well as therapeutic complexes that target prohibitin are also provided.
Claims9
A method for predicting the resistance of a tumor in a subject to a member of the taxoid family, the method comprising:
- (a). measuring a level of cell surface prohibitin in a tumor sample obtained from the subject;
- (b). comparing the level measured in step (a) to a standard level of cell surface prohibitin;
- and
- (c) identifying the tumor in the subject as resistant to a member of the taxoid family when the measured level of cell surface prohibitin in the tumor sample is increased relative to the standard level of cell surface prohibitin.
A method for predicting the resistance of a tumor in a subject to a member of the taxoid family, the method comprising:
- (a). measuring the level of cell surface prohibitin in multiple tumor samples obtained from the subject periodically over a period time;
- and
- (b). measuring a change in the measured level of cell surface prohibitin in the tumor samples,
- wherein an elevation of the level of cell surface prohibitin in the tumor samples over the period of time is indicative of resistance of the tumor to a member of the taxoid family.
A method for improving the effectiveness of tumor treatment in a subject comprising:
- measuring the level of cell surface prohibitin in a tumor sample obtained from the subject, and identifying the tumor in the subject as resistant to a member of the taxoid family when if the measured level of cell surface prohibitin in the tumor sample is elevated as compared to a standard level of cell surface prohibitin indicates that the subject is in need of alternative treatment so as to improve the effectiveness of tumor treatment.
Dependencies are inferred from the claim text.