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Biomarkers for prostate cancer and methods for their detection

a prostate cancer and biomarker technology, applied in the field of prostate cancer biomarkers and methods for their detection, can solve the problem of not having a good method for selecting the subset of patients, and achieve the effect of increasing the amount of one or more glycans or glycoprotein antigens, improving the efficacy of a virus-based vaccine and improving the efficacy of a vaccin

Inactive Publication Date: 2017-02-23
UNITED STATES OF AMERICA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This approach allows for the identification of patients likely to benefit from cancer vaccines, enabling more effective clinical trial design and personalized treatment strategies by determining pre-existing antibody levels and changes post-vaccination, thereby improving treatment outcomes.

Problems solved by technology

At present, there is no good method to select the subset of patients that will respond best to vaccine treatment.

Method used

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  • Biomarkers for prostate cancer and methods for their detection
  • Biomarkers for prostate cancer and methods for their detection
  • Biomarkers for prostate cancer and methods for their detection

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0073]This example demonstrates the identification of predictive markers and markers of efficacy of a clinical vaccine treatment for prostate cancer.

[0074]Initial studies were conducted on serum samples from 29 patients immunized with the PROSTVAC-VF vaccine (see, e.g., Gulley et al., Cancer Immunol. Immunother., 2(2): 155-158 (2010)). Briefly, patients with metastatic castrate-resistant prostate cancer were vaccinated once with a recombinant vaccinia virus containing the human genes for prostate specific antigen (PSA) and three costimulatory molecules (B7.1, LFA-3, and ICAM-1). Patients received monthly boosters with the recombinant fowlpox virus containing the same four transgenes. Patients with a rising PSA or new lesions were taken off study for disease progression, but survival status was updated periodically. Sera prior to vaccination and 3 months after vaccination were profiled on a neoglycoprotein array as described in Zhang et al., Mol. Biosyst., 6: 1-9 (2010). Exemplary ar...

example 2

[0084]This example demonstrates the identification of prognostic markers for prostate cancer.

[0085]There are a number treatment options for prostate cancer patients, but many of these treatments can cause significant side effects. In addition, many prostate tumors end up growing slowly and do not need treatment; however, it is very difficult to determine which patients should be treated aggressively and which are better served by a “watch and wait” approach. Better prognostic markers could be useful for aiding treatment decisions.

[0086]The Halabi nomogram provides a good estimation of life expectancy on treatment for patients with prostate cancer. It is most accurate for groups of patients, but also provides a reasonable projection on an individual basis. The nomogram combines many different measures of tumor aggressiveness and tumor burden, such as PSA levels and Gleason scores.

[0087]Antibody subpopulations in serum of patients were identified that correlate with the Halabi predict...

example 3

[0089]This example describes experiments to validate the above-described findings with a larger set of patients.

[0090]A multicenter phase II trial was completed on the PROSTVAC-VF vaccine involving 112 patients. Patients received PRO STVAC-VF therapy or control vectors. The inclusion criteria, vaccine construct, and therapeutic protocol for this trial were essentially the same as the 29 patients described in Example 1.

[0091]Anti-glycan antibody populations in sera before and 3 months after vaccination at both 1:50 and 1:200 were be profiled using the array technology described in Example 1. Combined antibody levels (anti-Ig), as well as IgG and IgM separately, were examined. All clinical data was blinded until after the profiling was complete. Once the survival data was unblinded, the relationships between antibody signals and survival were analyzed. Pearson correlations, hazard ratios, Kaplan-Meier curves, ROC curves, and each of their corresponding p-values were evaluated as discu...

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Abstract

The invention provides a method for predicting the clinical response to a cancer vaccine in a patient having cancer, a method for determining the immune response to a cancer vaccine in a patient having cancer who has been administered a cancer vaccine, a method for determining the long-term survival in a patient having cancer, corresponding kits therefor, as well as methods of for improving the efficacy of a virus-based vaccine.

Description

BACKGROUND OF THE INVENTION[0001]Vaccine therapies, such as cancer vaccine therapies, have been shown to only produce a clinical response in a subset of patients. At present, there is no good method to select the subset of patients that will respond best to vaccine treatment. Therefore, methods to predict which patients will benefit from a vaccine (e.g., cancer vaccine) and strategies to determine which patients are having a favorable immune response are desired. Such methods will enable better clinical trial design, more personalized treatment decisions, and a better use of time and resources.BRIEF SUMMARY OF THE INVENTION[0002]The invention provides a method for predicting the clinical response to a cancer vaccine in a patient having cancer comprising obtaining a serum sample from a patient who has not been previously administered the cancer vaccine; assaying the serum sample to determine the levels of antibodies in the patient to at least one glycan and / or glycoprotein antigen se...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G01N33/574A61K39/00
CPCG01N33/57434A61K39/0011A61K2039/55583A61K2039/575C12N2710/24043A61K2039/585G01N2800/52G01N2400/02A61K2039/5252A61K2039/5256A61K2039/545C12N2710/24143G01N33/57469A61K39/001129A61K39/001194A61K2039/884
Inventor GILDERSLEEVE, JEFFREYCAMPBELL, CHRISTOPHEROYELARAN, OYINDASOLAGULLEY, JAMESSCHLOM, JEFFREY
Owner UNITED STATES OF AMERICA
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