NIH-funded research R21 grant

Improving early detection of ovarian cancer recurrence using MUC16 analysis

Official title: Targeted proteomics of MUC16 to enable early detection of ovarian cancer recurrence

Funded at University of Kansas Lawrence · NIH-10543477 · Data updated 2026-11-12

This study is working on a new way to detect if high-grade serous ovarian cancer comes back by looking at a specific protein in the blood, which could help doctors catch it earlier and manage treatment better for women facing this condition.

More Ovarian Cancer research and trials

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionUniversity of Kansas Lawrence
NIH-funded
Lab location1 site (Lawrence, United States)
Project startJanuary 1, 2022
Project endJune 30, 2025
Funding year2023
Award (this year)$167,270
NIH project number5R21CA267532-03
Project IDNIH-10543477 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are women diagnosed with high-grade serous ovarian cancer who are undergoing treatment and monitoring for recurrence.

Less likely to help

Patients with other types of cancer or those who are not currently being treated for ovarian cancer may not benefit from this research.

What this research studies

This research focuses on developing new diagnostic tools to detect the recurrence of high-grade serous ovarian cancer (HGSOC) earlier and more reliably. The team aims to analyze MUC16, a protein overexpressed in ovarian cancer cells, to identify its various forms and glycan profiles, which may provide critical information for diagnosis. By enriching MUC16 from the serum of women undergoing treatment, the researchers hope to create a more sensitive assay that could lead to better management of the disease. This innovative approach seeks to address the limitations of current CA125 immunoassays and improve patient outcomes.

Why it matters

Potential benefit: If successful, this research could lead to earlier detection of ovarian cancer recurrence, allowing for timely intervention and improved patient outcomes.

How similar studies have gone: While the approach of analyzing MUC16 for diagnostic purposes is innovative, similar studies have shown promise in utilizing biomarkers for cancer detection, indicating potential for success.

Where this research is happening

  • University of Kansas Lawrence
    Lawrence, United States
    Active

Researchers

  • Principal investigator: Whelan, Rebecca Jean — University of Kansas Lawrence
  • Study coordinator: Whelan, Rebecca Jean

Related research

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  • Vaccine to help prevent ovarian cancer from coming back

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  • Targeting Hedgehog signaling to improve treatment for ovarian cancer

    This study is looking at how a specific pathway in ovarian cancer cells can be targeted to help make treatments work better for patients whose cancer keeps coming back after initial therapies.

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  • Keloid recurrence study using multi-omics in diverse patients

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  • Understanding the experience of ovarian cancer after diagnosis to improve survivorship

    This NIH grant funds a mixed-methods study to better understand physical and emotional challenges faced by ovarian cancer survivors and how supportive care can help them live better after diagnosis.

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About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.