Early detection can raise five-year survival rates above 90%, yet most ovarian cancer cases are found late. Emerging biomarker panels and AI-driven tools are empowering labs to make early diagnosis a reality.
For clinical laboratories, the fight against ovarian cancer highlights both the challenges and opportunities in early disease detection. Despite being one of the most difficult cancers to diagnose in its early stages, ovarian cancer outcomes improve dramatically when it’s caught early—underscoring the importance of laboratory innovation, diagnostic vigilance, and collaboration with clinicians. As researchers explore new biomarkers and AI-assisted tools for earlier, less invasive detection, lab professionals are positioned to play a pivotal role in advancing women’s health and improving survival rates.
Detecting ovarian cancer early is challenging but crucial for timely, effective treatment and improved survival. Too often, women are diagnosed after the disease has advanced. However, experts emphasize that the so-called “silent killer” doesn’t have to be silent—greater awareness of its warning signs and risk factors can make a life-saving difference.
“All women are at risk for gynecologic cancers, and risk increases with age,” explained Ruth Stephenson, DO, Gynecologic Oncologist at RWJBarnabas Health (RWJBH) and Rutgers Cancer Institute in a blog post. “If women suspect something isn’t right, for any reason, they shouldn’t hesitate. Early detection is their greatest asset.”
Stephenson encourages women to be proactive by maintaining regular health visits and being cognizant of their risk factors and the possible symptoms of ovarian cancer.
Other symptoms may include fatigue, upset stomach, back pain, pain during intercourse, constipation, menstrual cycle changes, and abdominal swelling.
Declines in Ovarian Cancer Cases Reflect Prevention Gains but Ongoing Risks Persist
Cases of ovarian cancer have been on the decline over the past several decades and ovarian cancer deaths have decreased by 43% since 1976, mostly due to increased use of oral contraceptives and lower use of hormonal therapies. According to the ACS, approximately 20,890 women will receive an ovarian cancer diagnosis in 2025 and about 12,730 women will die from the disease this year. Approximately half the diagnoses of ovarian cancer occur in women over the age of 63 and it is the sixth most common cancer among women in the US. A woman’s risk of getting the disease is about 1 in 91 and the risk of dying from ovarian cancer is approximately 1 in 143.
The cause of most ovarian cancers is unknown, but several aspects have been identified that may affect the risk for obtaining the illness, including:
Older age
Inherited gene mutations, such as BRCA1, BRCA2, or Lynch syndrome
Ruth Stephenson, DO, Gynecologic Oncologist at RWJBH and Rutgers Cancer Institute noted, “Knowing your family history of ovarian and breast cancers, listening to your body, and asking the right questions are among your strongest tools.”
The five-year survival rate for women diagnosed in Stage 1 of ovarian cancer is over 90%, but the survival rates decrease substantially when diagnosed in the later stages. Researchers have been using AI along with blood tests that combine protein and lipid markers to develop methods for earlier and less invasive detection of the disease. Other studies are being conducted to determine whether urine or vaginal samples can detect molecular changes linked to ovarian cancer.
Awareness Campaigns
In September, the ACS and Break Through Cancer announced a collaboration to advance awareness and prevention of ovarian cancer. “This alliance will turn two decades of scientific advances into action by combining research, education, awareness, marketing, and policy strategies to support those at risk of ovarian cancer and their clinicians,” the ACS said in a news release.
“The Outsmart Ovarian Cancer campaign seeks to close the gap between science and practice to ensure that patients and health care providers know the facts, the options, and have the potential to stop ovarian cancer before it starts,” said William Dahut, MD, chief scientific officer of the American Cancer Society. “This awareness campaign aims to give everyone their best chance to outsmart ovarian cancer.”
Detection and treatment options for ovarian cancer continue to improve and providing women with important information about the disease is part of a fundamental strategy for conquering the illness.
“With the American Cancer Society’s national platform and Break Through Cancer’s scientific engine, we are joining forces to bring this knowledge to millions of women,” said Tyler Jacks, PhD, president of Break Through Cancer. “The Outsmart Ovarian Cancer campaign is poised to share emerging research, inform patients, and support health care providers with resources and evolving prevention strategies.”
As awareness campaigns like Outsmart Ovarian Cancer bring renewed focus to prevention and early diagnosis, laboratories have an opportunity to strengthen their role as educators and innovators. Whether through developing and validating biomarker panels, participating in clinical trials, or helping providers interpret evolving screening data, labs can help bridge the gap between research and real-world care. In the ongoing effort to make ovarian cancer less “silent,” the laboratory’s voice—and its science—are essential.
Nearly 100,000 patients submitted saliva samples to a genetic testing laboratory, providing insights into their disease risk
Researchers at Mayo Clinic have employed next-generation sequencing technology to produce a massive collection of exome data from more than 100,000 patients, offering a detailed look at genetic variants that predispose people to certain diseases. The study, known as Tapestry, was administered by doctors and scientists from the clinic’s Center for Individualized Medicine and produced the “largest-ever collection of exome data, which include genes that code for proteins—key to understanding health and disease,” according to a Mayo Clinic news release.
For our clinical laboratory professionals, this shows the keen interest that a substantial portion of the population has in using their personal genetic data to help physicians identify their risk for many diseases and types of cancer. This support by healthcare consumers is a sign that labs should be devoting attention and resources to providing these types of gene sequencing services.
As Mayo explained in the news release, the exome includes nearly 20,000 genes that code for proteins. The researchers used the dataset to analyze genes associated with higher risk of heart disease and stroke along with several types of cancer. They noted that the data, which is now available to other researchers, will likely provide insights into other diseases as well, the news release notes.
“What we’ve accomplished with the Tapestry study is a blueprint for future endeavors in medical science,” said gastroenterologist and lead researcher Konstantinos Lazaridis, MD (above), in the news story. “It demonstrates that through innovation, determination and collaboration, we can deeply advance our understanding of DNA function and eventually other bio-molecules like RNA, proteins and metabolites, turning them into novel diagnostic tools to improve health, prevent illness, and even treat disease.” Some of these newly identified genetic markers may be incorporated into new clinical laboratory assays. (Photo copyright: Mayo Clinic.)
How Mayo Conducted the Tapestry Study
One notable aspect of the study was its methodology. The study launched in July 2020 during the COVID-19 pandemic. Since many patients were quarantined, researchers conducted the study remotely, without the need for the patients to visit a Mayo facility. It ran for five years through May 31, 2024. The news release notes that it’s the largest decentralized clinical trial ever conducted by the Mayo Clinic.
The researchers identified 1.3 million patients from the main Mayo Clinic campuses in Minnesota, Arizona, and Florida who met the following eligibility criteria:
Participants had to be 18 or older,
they had to have internet and email access, and
be sufficiently proficient in speaking and reading English.
More than 114,000 patients consented to participate, but some later withdrew, resulting in a final sample of 98,222 individuals. Approximately two-thirds were women. Mean age was 57 (61.9 for men and 54.3 for women).
“It was a tremendous effort,” said Mayo Clinic gastroenterologist and lead researcher Konstantinos Lazaridis, MD, in the news release. “The engagement of such a number of participants in a relatively short time and during a pandemic showcased the trust and the dedication not only of our team but also of our patients.”
He added that the researchers “learned valuable lessons about some patients’ decisions not to participate in Tapestry, which will be the focus of future publications.”
Three Specific Genes
Enrolled patients were invited to visit a website, where they could view a video and submit an eligibility form. Once approved, they completed a digital consent agreement and received a saliva collection kit. Participants were also invited to provide information about their family history.
Helix, a clinical laboratory company headquartered in San Mateo, Calif., performed the exome sequencing.
Though Helix performed whole exome sequencing, the researchers were most interested in three specific sets of genes:
Patients received clinical results directly from Helix along with information about their ancestry. Clinical results were also transmitted to Mayo Clinic for inclusion in patients’ electronic health records (EHRs).
Among the participants, approximately 1,800 (1.9%) had what the researchers described as “actionable pathogenic or likely pathogenic variants.” About half of these were BRCA1/2.
These patients were invited to speak with a genetic counselor and encouraged to undergo additional testing to confirm the variants.
Tapestry Genomic Registry
In addition to the impact on the participants, Mayo Clinic’s now has an enormous amount of raw sequencing data stored in the Tapestry Genomic Registry, where it will be available for future research.
The database “has become a valuable resource for Mayo’s scientific community, with 118 research requests submitted,” the researchers wrote in the news release. Mayo has distribution more than a million exome datasets to other genetic researchers.
“What we’ve accomplished with the Tapestry study is a blueprint for future endeavors in medical science,” Lazaridis noted. “It demonstrates that through innovation, determination, and collaboration, we can deeply advance our understanding of DNA function and eventually other bio-molecules like RNA, proteins and metabolites, turning them into novel diagnostic tools to improve health, prevent illness, and even treat disease.”
Everything about this project is consistent with precision medicine, and the number of individuals discovered to have risk of cancers is relevant. Clinical laboratory professionals understand these ratios and the importance of early detection and early intervention.
Findings could lead to new clinical laboratory cancer screening tests for BRCA1 and BRCA2 among specific population regions
Descendants of a remote Scottish island are much more likely to carry a cancer-causing BRCA2 gene than the rest of the UK. That’s according to a study conducted by the University of Edinburgh in Scotland. For pathologists and clinical laboratory managers, the study’s findings demonstrate how ongoing research into the genetic makeup of subpopulations will find groups that have higher risk for specific health conditions than the general population. Thus, diagnosticians can pay closer attention to screening these groups to achieve early diagnosis and intervention.
“The findings follow earlier research from the Viking Genes study that found a cancer-causing variant in the related BRCA1 gene, common among people from Orkney [a group of islands off Scotland’s northern coast],” noted a University of Edinburgh news release.
In their latest research, the genetic scientists discovered that the BRCA2 gene can be found in one in every 40 people with heritage from the island of Whalsay in Scotland’s Shetland island group. This gene is one of the most common genes that can be linked to breast cancer and ovarian cancer in women and breast and prostate cancer in men.
Those who inherit the BRCA2 gene have a significantly higher risk of developing certain cancers than the general population. For example, according to the National Cancer Institute, more than 60% of women who inherit the gene will develop breast cancer in their lifetimes.
The volunteers in the Viking Genes study have a risk of having a BRCA2 gene that is 130 times higher than the general UK population. According to the BBC, geneticists believe the gene can be traced back to one family from the island of Whalsay before 1750.
“It is very important to understand that just two gene changes account for more than 90% of the inherited cancer risk from BRCA variants in Orkney and Shetland. This is in stark contrast to the situation in the general UK population, where 369 variants would need to be tested to account for the same proportion of cancer risk from BRCA genes. Any future screening program for the Northern Isles should therefore be very cost-effective,” said James Wilson, DPhil, FRCPE (above), Professor of Human Genetics at University of Edinburgh and leader of the study, in a news release. Clinical laboratories in the UK will be involved in those screenings. (Photo copyright: Scottish Genomes Partnership.)
Early Diagnosis Brings Hope to Families
The UK’s National Health Service (NHS) offers genetic testing to relatives of people with a known BRCA variant. Individuals with at least one Whalsay grandparent, and who have a close family history of breast, ovarian, or prostate cancer, can also request NHS testing.
As the BBC reported, University of Edinburgh’s discovery has given families answers and hope for the future. Individuals who fit the criteria for being at risk of inheriting the BRCA gene can narrow their testing and work more specifically on preventative measures with their doctors.
Christine Glaser, a woman from Lerwick in Shetland, learned she carried the BRCA gene after participating in the study. Though the Viking genes research took place nearly a decade ago, scientific understanding of genes has improved allowing geneticists to draw new conclusions from previous studies.
Although Glaser lost her sister to ovarian cancer, she and her family were unaware of their heightened genetic risk.
“I got offered preventative measures so I could get my ovaries removed and I could get a mastectomy. So, that’s what I did … when I got my ovaries removed, they checked them and there was no cancer, but then I had a mammogram and they found cancer,” she told the BBC. Glaser’s cancer was successfully treated thanks to early detection.
Closing Gap in Genetic Testing
“This BRCA2 variant in Whalsay I think arose prior to 1750. This is why these things become so common in given places because many people descend from a couple quite far back in the past, and if they have a cancer variant, then a significant number of people today—five or even 10 generations later—will have it. This is true everywhere in Scotland, it’s just magnified in these small places,” said James Wilson, DPhil, FRCPE, Professor of Human Genetics at University of Edinburgh, who led the study on Viking genes that found individuals with familial ties to two small Scottish communities may be at a higher risk of having a cancer-causing gene.
Wilson hopes to see testing for these genetic abnormalities become more common for these at-risk communities.
“The Ashkenazi Jewish community have BRCA1 and BRCA2 variants that also have a frequency of about one in 40,” he told the BBC. “The Ashkenazi Jewish population in England are able to take part in genetic testing for these genes but that’s not yet the case in Scotland.”
The findings of the most recent University of Edinburgh genetic study are very new. Future developments and offerings from the NHS may be influenced by the results.
Deeper understanding about the genetic make-up of certain population subgroups could lead to new genetic personalized medicine and preventative testing for those at risk of hereditary cancer. In turn, it could also encourage individuals to seek preventative care earlier. Thus, pathologists and clinical laboratory managers should keep an eye on these developments and be prepared to work with geneticists who may develop new screening methods for BRCA1 and BRCA2.
Best of all, the researchers say the test could provide an inexpensive means of early diagnosis. This assay could also be used to monitor how well patients respond to cancer therapy, according to a news release.
The protein had previously been identified as a promising biomarker and is readily detectable in tumor tissue, they wrote. However, it is found in extremely low concentrations in blood plasma and is “well below detection limits of conventional clinical laboratory methods,” they noted.
To overcome that obstacle, they employed an ultra-sensitive immunoassay known as a Simoa (Single-Molecule Array), an immunoassay platform for measuring fluid biomarkers.
“We were shocked by how well this test worked in detecting the biomarker’s expression across cancer types,” said lead study author gastroenterologist Martin Taylor, MD, PhD, Instructor in Pathology, Massachusetts General Hospital and Harvard Medical School, in the press release. “It’s created more questions for us to explore and sparked interest among collaborators across many institutions.”
“We’ve known since the 1980s that transposable elements were active in some cancers, and nearly 10 years ago we reported that ORF1p was a pervasive cancer biomarker, but, until now, we haven’t had the ability to detect it in blood tests,” said pathologist and study co-author Kathleen Burns, MD, PhD (above), Chair of the Department of Pathology at Dana-Farber Cancer Institute and a Professor of Pathology at Harvard Medical School, in a press release. “Having a technology capable of detecting ORF1p in blood opens so many possibilities for clinical applications.” Clinical laboratories may soon have a new blood test to detect multiple types of cancer. (Photo copyright: Dana-Farber Cancer Institute.)
Simoa’s Advantages
In their press release, the researchers described ORF1p as “a hallmark of many cancers, particularly p53-deficient epithelial cancers,” a category that includes lung, breast, prostate, uterine, pancreatic, and head and neck cancers in addition to the cancers noted above.
“Pervasive expression of ORF1p in carcinomas, and the lack of expression in normal tissues, makes ORF1p unlike other protein biomarkers which have normal expression levels,” Taylor said in the press release. “This unique biology makes it highly specific.”
Simoa was developed at the laboratory of study co-author David R. Walt, PhD, the Hansjörg Wyss Professor of Bioinspired Engineering at Harvard Medical School, and Professor of Pathology at Harvard Medical School and Brigham and Women’s Hospital.
The Simoa technology “enables 100- to 1,000-fold improvements in sensitivity over conventional enzyme-linked immunosorbent assay (ELISA) techniques, thus opening the window to measuring proteins at concentrations that have never been detected before in various biological fluids such as plasma or saliva,” according to the Walt Lab website.
Simoa assays take less than two hours to run and require less than $3 in consumables. They are “simple to perform, scalable, and have clinical-grade coefficients of variation,” the researchers wrote.
Study Results
Using the first generation of the ORF1p Simoa assay, the researchers tested blood samples of patients with a variety of cancers along with 406 individuals, regarded as healthy, who served as controls. The test proved to be most effective among patients with colorectal and ovarian cancer, finding detectable levels of ORF1p in 58% of former and 71% of the latter. Detectable levels were found in patients with advanced-stage as well as early-stage disease, the researchers wrote in Cancer Discovery.
Among the 406 healthy controls, the test found detectable levels of ORF1p in only five. However, the control with the highest detectable levels, regarded as healthy when donating blood, “was six months later found to have prostate cancer and 19 months later found to have lymphoma,” the researchers wrote.
They later reengineered the Simoa assay to increase its sensitivity, resulting in improved detection of the protein in blood samples from patients with colorectal, gastroesophageal, ovarian, uterine, and breast cancers.
The researchers also employed the test on samples from 19 patients with gastroesophageal cancer to gauge its utility for monitoring therapeutic response. Although this was a small sample, they found that among 13 patients who had responded to therapy, “circulating ORF1p dropped to undetectable levels at follow-up sampling.”
“More Work to Be Done”
The Simoa assay has limitations, the researchers acknowledged. It doesn’t identify the location of cancers, and it “isn’t successful in identifying all cancers and their subtypes,” the press release stated, adding that the test will likely be used in conjunction with other early-detection approaches. The researchers also said they want to gauge the test’s accuracy in larger cohorts.
“The test is very specific, but it doesn’t tell us enough information to be used in a vacuum,” Walt said in the news release. “It’s exciting to see the early success of this ultrasensitive assessment tool, but there is more work to be done.”
More studies will be needed to valid these findings. That this promising new multi-cancer immunoassay is based on a clinical laboratory blood sample means its less invasive and less painful for patients. It’s a good example of an assay that takes a proteomic approach looking for protein cancer biomarkers rather than the genetic approach looking for molecular DNA/RNA biomarkers of cancer.
Two studies show the accuracy of perception-based systems in detecting disease biomarkers without needing molecular recognition elements, such as antibodies
Researchers from multiple academic and research institutions have collaborated to develop a non-conventional machine learning-based technology for identifying and measuring biomarkers to detect ovarian cancer without the need for molecular identification elements, such as antibodies.
Traditional clinical laboratory methods for detecting biomarkers of specific diseases require a “molecular recognition molecule,” such as an antibody, to match with each disease’s biomarker. However, according to a Lehigh University news release, for ovarian cancer “there’s not a single biomarker—or analyte—that indicates the presence of cancer.
“When multiple analytes need to be measured in a given sample, which can increase the accuracy of a test, more antibodies are required, which increases the cost of the test and the turnaround time,” the news release noted.
Unveiled in two sequential studies, the new method for detecting ovarian cancer uses machine learning to examine spectral signatures of carbon nanotubes to detect and recognize the disease biomarkers in a very non-conventional fashion.
“Carbon nanotubes have interesting electronic properties,” said Daniel Heller, PhD (above), in the Lehigh University news release. “If you shoot light at them, they emit a different color of light, and that light’s color and intensity can change based on what’s sticking to the nanotube. We were able to harness the complexity of so many potential binding interactions by using a range of nanotubes with various wrappings. And that gave us a range of different sensors that could all detect slightly different things, and it turned out they responded differently to different proteins.” This method differs greatly from traditional clinical laboratory methods for identifying disease biomarkers. (Photo copyright: Memorial Sloan-Kettering Cancer Center.)
Perception-based Nanosensor Array for Detecting Disease
In the Science Advances paper, the researchers described their development of “a perception-based platform based on an optical nanosensor array that leverages machine learning algorithms to detect multiple protein biomarkers in biofluids.
“Perception-based machine learning (ML) platforms, modeled after the complex olfactory system, can isolate individual signals through an array of relatively nonspecific receptors. Each receptor captures certain features, and the overall ensemble response is analyzed by the neural network in our brain, resulting in perception,” the researchers wrote.
“This work demonstrates the potential of perception-based systems for the development of multiplexed sensors of disease biomarkers without the need for specific molecular recognition elements,” the researchers concluded.
In the Nature Biomedical Engineering paper, the researchers described a fined-tuned toolset that could accurately differentiate ovarian cancer biomarkers from biomarkers in individuals who are cancer-free.
“Here we show that a ‘disease fingerprint’—acquired via machine learning from the spectra of near-infrared fluorescence emissions of an array of carbon nanotubes functionalized with quantum defects—detects high-grade serous ovarian carcinoma in serum samples from symptomatic individuals with 87% sensitivity at 98% specificity (compared with 84% sensitivity at 98% specificity for the current best [clinical laboratory] screening test, which uses measurements of cancer antigen 125 and transvaginal ultrasonography,” the researchers wrote.
“We demonstrated that a perception-based nanosensor platform could detect ovarian cancer biomarkers using machine learning,” said Yoona Yang, PhD, a postdoctoral research associate in Lehigh’s Department of Chemical and Biomolecular Engineering and co-first author of the Science Advances article, in the news release.
How Perception-based Machine Learning Platforms Work
According to Yang, perception-based sensing functions like the human brain.
“The system consists of a sensing array that captures a certain feature of the analytes in a specific way, and then the ensemble response from the array is analyzed by the computational perceptive model. It can detect various analytes at once, which makes it much more efficient,” Yang said.
“SWCNTs have unique optical properties and sensitivity that make them valuable as sensor materials. SWCNTS emit near-infrared photoluminescence with distinct narrow emission bands that are exquisitely sensitive to the local environment,” the researchers wrote in Science Advances.
“Carbon nanotubes have interesting electronic properties,” said Daniel Heller, PhD, Head of the Cancer Nanotechnology Laboratory at Memorial Sloan Kettering Cancer Center and Associate Professor in the Department of Pharmacology at Weill Cornell Medicine of Cornell University, in the Lehigh University news release.
“If you shoot light at them, they emit a different color of light, and that light’s color and intensity can change based on what’s sticking to the nanotube. We were able to harness the complexity of so many potential binding interactions by using a range of nanotubes with various wrappings. And that gave us a range of different sensors that could all detect slightly different things, and it turned out they responded differently to different proteins,” he added.
The researchers put their technology to practical test in the second study. The wanted to learn if it could differentiate symptomatic patients with high-grade ovarian cancer from cancer-free individuals.
The research team used 269 serum samples. This time, nanotubes were bound with a specific molecule providing “an extra signal in terms of data and richer data from every nanotube-DNA combination,” said Anand Jagota PhD, Professor, Bioengineering and Chemical and Biomolecular Engineering, Lehigh University, in the news release.
This year, 19,880 women will be diagnosed with ovarian cancer and 12,810 will die from the disease, according to American Cancer Society data. While more research and clinical trials are needed, the above studies are compelling and suggest the possibility that one day clinical laboratories may detect ovarian cancer faster and more accurately than with current methods.
