We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Four-Biomarker Panel Could Enable Early Ovarian Cancer Detection

By LabMedica International staff writers
Posted on 16 Jan 2024

Ovarian cancer remains a significant cause of mortality globally. More...

While advancements in cytoreductive surgery and chemotherapy have improved survival for those with epithelial ovarian cancer, prognosis heavily depends on the stage at diagnosis. Early detection, particularly at stage I, offers a five-year survival rate exceeding 90%. However, this rate drops to around 70% for stage II, where cancer is confined to the pelvis, and declines further for later stages, plummeting to a mere 20% at stage IV. Computational models suggest that detecting ovarian cancer in stages I or II could increase the cure rate by 10-30%. Currently, Cancer Antigen 125 (CA125), a protein found in various cells, including those of ovarian cancer, is the only tumor marker recommended for clinical use in diagnosing and managing ovarian cancer. Now, a new study has shown that a panel of four biomarkers is more sensitive than CA125 alone for early ovarian cancer detection, maintaining the same specificity.

In this study, conducted in collaboration with the Early Detection Research Network (EDRN, Bethesda, MD, USA), researchers compared a range of antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes alongside CA125 for early ovarian cancer detection. The study involved measuring 26 biomarkers in a single sera panel from women with early (I-II) and late (III-IV) stage ovarian cancers, benign pelvic masses, and healthy controls. The participants were randomly divided into a training set to identify the most effective classifier and a validation set to evaluate its performance against CA125 alone. The research identified eight biomarkers capable of detecting ≥8% of early-stage cases at 98% specificity. A panel comprising four biomarkers — CA125, HE4, HE4 Ag-AAb, and osteopontin — identified 75% of early-stage cancers among healthy controls in the validation set, compared to 62% detection using CA125 alone (p = 0.003), maintaining 98% specificity.

This panel also showed a 25% increase in sensitivity over CA125 alone in differentiating early-stage ovarian cancers from benign pelvic masses (p = 0.0004) at 95% specificity. From the 21 autoantibody candidates, three (anti-p53, anti-CTAG1, and anti-Il-8) identified 22% of early-stage ovarian cancers, potentially offering a diagnostic lead time. The study thus pinpointed three biomarkers — HE4, HE4 Ag-AAb complexes, and osteopontin — that effectively complement CA125, potentially increasing early detection of ovarian cancer at 98% specificity. This method could offer a significant lead time of over 18 months in some cases, a crucial factor for the effectiveness of treatment.

Related Links:
EDRN


Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
PSA Test
Humasis PSA Card
New
Amoebiasis Test
ELI.H.A Amoeba
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.