Journal News

New biomarker offers hope for earlier ovarian cancer detection

Rob Mitchum
By Rob Mitchum
Aug. 26, 2023

Ovarian cancer is particularly difficult to detect, as the disease often does not produce significant symptoms until it has reached late stages and caused metastasis. New screening methods would help physicians detect ovarian tumors early and dramatically increase the chances of patient survival. 

A study published in Molecular & Cellular Proteomics by past and current University of Illinois Chicago faculty members used a variety of cutting-edge techniques to identify a new biomarker for ovarian cancer that offers hope for effective routine screening — potentially even at home.

This is the graphical abstract for the article "An integrated approach to protein discovery and detection from complex biofluids."

While biomarker studies often seek signs of tumor DNA in blood, the research groups of Joanna Burdette, professor of pharmaceutical sciences at the UIC College of Pharmacy, and Laura Sanchez, who moved from UIC to University of California Santa Cruz in 2021, instead looked to the microenvironment near potential tumors.

Researchers collected vaginal samples from mice with ovarian tumors, then used multiple methods such as mass spectrometry — experiments conducted with Stephanie Cologna, UIC associate professor of chemistry — and proteomics technology to find a molecular “fingerprint” of the cancer. The tests identified a potential biomarker in the enzyme cystatin A, which has been previously associated with the body’s immune response to cancer, not the tumor itself.

“I think that’s going to be a very important thing to think about because if we want to detect tumors early, they should be small, maybe even so small that they wouldn’t be detectable if you were just looking for the cancer cell,” said Burdette, who is also a member of the University of Illinois Cancer Center. “But if you look in the environment around the tumor, the immune system, bacteria and other things responding to it, that might be a more robust signal that we could detect earlier.”

The researchers then tested this signal in samples from human patients, using tampons worn by women the day before gynecologic surgery. In samples from patients diagnosed with ovarian cancer, they found that cystatin A levels were twice as high as in the samples diagnosed as benign.

While further trials are needed to verify the predictive power of cystatin A in humans, the paper provides proof of concept that this approach can identify potential biomarkers detectable through routine procedures. Gynecologists could collect vaginal samples during regular checkups or, more speculatively, women could send tampons for laboratory screening on a variety of concerns, similar to new home-screening tests for colon cancer. 

“The idea that you could slot this in as part of a routine gynecological exam makes sense to us,” Burdette said. “We can imagine these fingerprints are probably not unique to just cancer, they could also be useful for a variety of women’s health issues, such as vaginal infection, cervical cancer and STDs.”

This article first appeared in UIC Today. Read the original.

Enjoy reading ASBMB Today?

Become a member to receive the print edition four times a year and the digital edition monthly.

Learn more
Rob Mitchum
Rob Mitchum

Rob Mitchum is director of research and scienc communications at the University of Illinois Chicago. Previously, he was associate director of communications for data science and computing at the University of Chicago, where he led communications for the computer science department and Data Science Institute. He also held communications roles at the University of Chicago with the Center for Data and Computing, the Computation Institute and UChicago Medicine. He received his Ph.D. in neurobiology from the University of Chicago in 2007. He spent two years as a journalist with the Chicago Tribune, covering science and general assignment topics. He also has written about music for publications including Pitchfork, Uncut, Paste, Esquire, Deadspin and Relix.

Get the latest from ASBMB Today

Enter your email address, and we’ll send you a weekly email with recent articles, interviews and more.

Latest in Science

Science highlights or most popular articles

Heat shock proteins as a promising breast cancer therapeutic
Journal News

Heat shock proteins as a promising breast cancer therapeutic

March 25, 2026

Researchers unveiled isoform-specific targets on heat shock protein 90 which may be beneficial in therapeutic development.

Optimized proteomic analysis of preserved biological tissue samples
Journal News

Optimized proteomic analysis of preserved biological tissue samples

March 25, 2026

Researchers have developed an optimized workflow for analyzing formalin-fixed paraffin-embedded tissue. This workflow provides an enhanced collection of unique proteins and phosphorylation sites for more detailed analysis of biological samples.

Blood proteomics reveals fungal infection signatures for faster diagnosis
Journal News

Blood proteomics reveals fungal infection signatures for faster diagnosis

March 24, 2026

Whole-blood proteomics identifies more than 3,000 host and 160 fungal proteins during cryptococcal infection, offering potential biomarkers for faster diagnosis and improved monitoring without invasive spinal taps.

When things get SAPpy: Novel insights into complement
Journal News

When things get SAPpy: Novel insights into complement

March 20, 2026

Researchers have defined interactions between an innate immune protein and two of its known binding partners. They identified potential areas of crosstalk between the two binding interactions.

Glutathione pathway implicated in rare disease
Journal News

Glutathione pathway implicated in rare disease

March 19, 2026

Researchers found that glutathione metabolism plays a central role in the pathogenesis of rare disease methylmalonic aciduria using a novel multiomics approach.

A p-value for proteins
Journal News

A p-value for proteins

March 18, 2026

Kyoto University researchers developed UniScore, a new tool that uses a target-decoy method to filter false positives in proteomic searches, helping scientists set thresholds and improve reliability when analyzing complex protein data.