Methods for predicting likelihood of responding to treatment
AssigneeDana-Farber Cancer Institute, Inc.
InventorsPhilip W. Kantoff, Ming Yang, Gwo-Shu Mary Lee, Tong Sun, Wanling Xie
Life of this patent
Estimating the term…
Abstract
The disclosure provides materials and methods related to using biomarkers for prediction of duration of response to prostate cancer treatment and for treating prostate cancer.
Claims12
A method of predicting the likelihood of a subject having prostate cancer to respond to a treatment, wherein said treatment is selected from the group consisting of androgen-deprivation therapy (ADT), ketoconazole treatment, and abiraterone treatment, said method comprising:
- a) providing a biological sample from said subject;
- b) detecting in said biological sample the presence or absence of two or more SCLO2B1 single nucleotide polymorphism (SNP) genotypes selected from the group consisting of rs12422149 (GG), rs1789693 (TT), and rs1077858 (AG/GG);
- and
- c) classifying said subject as being likely to respond to said treatment for a longer duration of time based on the absence of two or more of the SNP genotypes, or classifying said subject as being likely to respond to the treatment for a shorter duration of time based on the presence of two or more of the SNP genotypes.
A method of predicting the likelihood of a human subject having prostate cancer to respond to a treatment, wherein said treatment is selected from the group consisting of ADT, ketoconazole treatment, and abiraterone treatment, said method comprising:
- a) providing a biological sample from said human subject;
- and
- b) determining the nucleotide present at each of three SNP sites in said biological sample, wherein said SNP sites are rs12422149, rs1789693, and rs1077858, wherein the presence of an A at each SNP site is indicative of an increased likelihood of the subject to respond to said treatment for a longer duration of time as compared with a human subject having a G at SNP sites rs12422149 and rs1077858, and a T at SNP site rs1789693.
Dependencies are inferred from the claim text.