Pain point 1: ambiguous symptoms
Current limitations
A primary diagnostic pain point is the ambiguity of early symptoms. Since the ovaries are in a similar region as other organs, when the tumor enlarges, the symptoms are often perceived as gastrointestinal issues due to pressure on the neighboring organs. It is often described as a constant dull pain in the lower abdomen. Other common symptoms include bloating, frequent urination, changes in bowel movement and indigestion. Despite the presence of the ovaries in the pelvis, many described experiencing pain and bloating in their upper abdomen when they present symptoms. These symptoms increase the difficulty of catching ovarian cancer early on and are often mistaken for gastrointestinal, menstrual and other benign conditions. As a result, this is usually diagnosed at advanced stages of the cancer. Research even suggests that women typically receive their diagnosis after more than 6 months after first presenting their symptoms to a doctor which contributes to most diagnoses occurring only at an advanced stage.
Future perspectives
Patient advocacy and awareness campaigns have been a proven way to overcome diagnostic challenges. Increasing awareness of the symptoms associated with ovarian cancer will help women advocate for themselves and become more mindful of their risk factors, like having a female family member who was diagnosed with breast cancer or a gynecological cancer.
Pain point 2: limited awareness and training among healthcare providers
Current limitations
Another major obstacle in the early diagnosis of ovarian cancer is the limited awareness and diagnostic training among general practitioners (GPs) and frontline healthcare providers. Given that ovarian cancer symptoms are often vague and mimic benign conditions, these symptoms are frequently dismissed or misattributed during initial consultations, particularly in primary care settings. Studies have shown that many physicians may not immediately consider ovarian cancer as a differential diagnosis, especially in younger or premenopausal women. Additionally, due to time constraints or insufficient familiarity with risk indicators such as genetic predisposition, the opportunity to flag high-risk patients early is often missed.
Future perspectives
To address this challenge, healthcare systems must invest in targeted educational programs and diagnostic support tools for primary care physicians. Decision-support algorithms, symptom checklists, and structured referral pathways could help flag potential cases earlier. Enhanced integration of electronic health records (EHR) with predictive analytics could also prompt timely specialist referrals based on symptom patterns and patient history. Increasing provider awareness not only reduces diagnostic delays but also strengthens the frontline defence in the fight against late-stage ovarian cancer detection.
Pain point 3: lack of reliable and non-invasive screening tests
Current limitations
Despite advancements in oncology, there is still an absence of reliable screening tests for detecting ovarian cancer. Unlike breast or cervical cancer, which benefit from standardized screening tools like mammograms and Pap smears, ovarian cancer lacks an equivalent, widely accepted early detection method. The two most commonly used tools — serum CA-125 testing and transvaginal ultrasound — have notable limitations. CA-125 levels can be elevated due to benign conditions, especially in premenopausal women, while imaging techniques often miss early-stage disease, particularly when tumors originate in the fallopian tubes.
For many women, the diagnostic process is also physically invasive. Surgical biopsies are often required to confirm malignancy, which involve tissue sampling and may not always be feasible depending on tumor location. These procedures carry risks of complications and emotional distress, and typically occur only after a prolonged diagnostic delay.
Future perspectives
To address these limitations, a wave of companies is pioneering innovative biomarker and diagnostic technologies:
- AI-driven blood tests are emerging to improve detection accuracy and reduce false positives. For example, Johns Hopkins University has developed the DELFI-Pro test, which uses AI to analyze cell-free DNA and protein biomarkers, showing high sensitivity even in early stages. Similarly, Grail’s Galleri test, though not specific to ovarian cancer, uses methylation patterns in cfDNA to screen for over 50 cancers, including ovarian, from a single blood sample.
- Advanced imaging enhanced by AI is helping to overcome the limitations of traditional ultrasound. While companies are still refining this application specifically for ovarian cancer, it complements liquid biopsy efforts by enhancing accuracy during follow-up assessments.
- Expanded genetic screening, such as BRCA1/2 testing and polygenic risk scores, can identify high-risk individuals. Start-ups like AOA Dx are developing targeted liquid biopsies focusing on novel ovarian-specific biomarkers, aiming for early detection with high specificity.
- Multi-cancer early detection (MCED) programs are beginning to integrate ovarian cancer markers. Nevia Bio, for example, is exploring a home-based diagnostic using vaginal fluid analysis combined with AI to detect early signals of gynaecologic cancers, potentially offering a less invasive and more accessible alternative to blood-based tests.
- Lipid and glycoprotein biomarker tests are also progressing. The Finnish company Uniogen is working on a test that detects glycosylation patterns on CA-125 to differentiate malignant from benign cases. Meanwhile, INOVIQ in Australia is trialing a blood test that uses extracellular vesicles (EVs) to detect ovarian cancer with over 90% accuracy and minimal false positives.
The development of more accurate, non-invasive, and scalable tests is critical to reducing diagnostic delays and improving outcomes. Pharma and MedTech stakeholders have a clear opportunity to drive innovation and accelerate adoption of these promising tools in routine gynaecological care.
The diagnosis of ovarian cancer faces significant hurdles due to vague symptoms, the lack of healthcare professionals’ awareness, and the lack of effective screening tests. These diagnostic gaps lead to delayed diagnosis and treatment, affecting both patients and providers. There is a growing demand for minimally invasive diagnostics to reduce unnecessary surgeries, shorten time to diagnosis, and improve patient experiences— creating an urgent market need for innovation. Emerging innovations hold promise for transforming early detection strategies.
By embracing new technologies, fostering collaboration, and prioritizing patient-centred care, we can pave the way for improved outcomes in ovarian cancer care by reducing the diagnostic delay. While these innovations are promising, widespread adoption will also depend on regulatory approvals, cost-effectiveness, and integration into healthcare systems. As advancements continue, stakeholders in pharma, MedTech, and oncology must drive efforts to make early and accurate ovarian cancer diagnosis a global standard.
At Alcimed, we support healthcare stakeholders in identifying innovation opportunities, assessing market potential, and navigating the strategic, clinical, and operational challenges of implementing new diagnostic solutions. We can help you explore this uncharted territory and are looking to lead the way in transforming ovarian cancer diagnosis. Our team is ready to help you shape the future of women’s health. Don’t hesitate to contact our team!
About the authors,
Kelma, Consultant and Diane, Project Manager in Alcimed’s Life Sciences team in Germany