Posted in | News | Imaging

NIH Grant to Support Development of New Imaging Method for Prostate Cancer Diagnosis

National Institutes of Health (NIH) has granted a five-year, $2.6 M to Thomas Jefferson University’s Department of Radiology as well as Jefferson’s Kimmel Cancer Center to study an efficient revolutionary method, through which prostate cancers as well as recurrent diseases can be precisely identified and staged, without the need for more confirmation biopsies.

Mathew Thakur, PhD, professor of Radiology at Jefferson Medical College of Thomas Jefferson University and the Director of the Laboratories of Radiopharmaceutical Research and Molecular Imaging

The new technique integrates a positron emission tomography (PET) scan with a novel imaging agent.

The study is directed by Mathew Thakur, PhD, professor of Radiology at Jefferson Medical College of Thomas Jefferson University.

Prostate cancer can be diagnosed effectively by using ultrasonography and magnetic resonance imaging (MRI), and Prostate specific antigen (PSA) measurements, wherein an invasive biopsy is needed for histologic confirmation.

Over 65% of the 1.5 M biopsies being conducted annually in the U.S., represent benign pathology, where these standard diagnostic tools have high false-positive rate. Hence, noninvasive methods for staging prostate cancer, detecting recurrent disease and imaging metastatic lesions with precision became the need of the hour.

In order to evaluate prostate cancer tumors using PET imaging, the researchers studied Cu-64 peptide biomolecules. These agents are capable of detecting prostate cancer through a biomarker called VPAC1. The biomarker is overexpressed as the with respect to tumor development.

Dr. Thakur’s Former studies with Cu-64 peptides were effective for stratifying breast cancer. A preclinical study published in 2009 Journal of Nuclear Medicine shows that tumors overexpressing the VPAC1 oncogene in mice were detected more precisely by 64Cu-TP3805 than the usual 18F-FDG.

This NIH grant will enable the researchers to test this new approach in mice as well as humans. Two Cu-64 peptides specific for VPAC1 in mice will be analyzed followed by a feasibility study using Cu-64 peptide for 25 pre-operative prostate cancer patients.

Source: www.jefferson.edu/news/

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

G.P. Thomas

Written by

G.P. Thomas

Gary graduated from the University of Manchester with a first-class honours degree in Geochemistry and a Masters in Earth Sciences. After working in the Australian mining industry, Gary decided to hang up his geology boots and turn his hand to writing. When he isn't developing topical and informative content, Gary can usually be found playing his beloved guitar, or watching Aston Villa FC snatch defeat from the jaws of victory.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Thomas, G.P.. (2019, February 28). NIH Grant to Support Development of New Imaging Method for Prostate Cancer Diagnosis. AZoOptics. Retrieved on April 20, 2024 from https://www.azooptics.com/News.aspx?newsID=15577.

  • MLA

    Thomas, G.P.. "NIH Grant to Support Development of New Imaging Method for Prostate Cancer Diagnosis". AZoOptics. 20 April 2024. <https://www.azooptics.com/News.aspx?newsID=15577>.

  • Chicago

    Thomas, G.P.. "NIH Grant to Support Development of New Imaging Method for Prostate Cancer Diagnosis". AZoOptics. https://www.azooptics.com/News.aspx?newsID=15577. (accessed April 20, 2024).

  • Harvard

    Thomas, G.P.. 2019. NIH Grant to Support Development of New Imaging Method for Prostate Cancer Diagnosis. AZoOptics, viewed 20 April 2024, https://www.azooptics.com/News.aspx?newsID=15577.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.