Aspira Women’s Health Announces Publication of Data Demonstrating Performance of its In-Development Blood Test for the Assessment of Malignancy Risk in Patients with an Adnexal Mass

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Aspira Women's Health Inc.
Aspira Women's Health Inc.

The addition of miRNA and metadata to Aspira’s existing protein assay shows promising improvements in both sensitivity and specificity for early-stage ovarian cancer in women with an adnexal mass

AUSTIN, Texas, Sept. 10, 2024 (GLOBE NEWSWIRE) -- Aspira Women’s Health Inc. (“Aspira”) (Nasdaq: AWH), a bio-analytical based women’s health company focused on the development of gynecologic disease diagnostic tools, today announced the publication of a paper in the journal Gynecologic Oncology highlighting data demonstrating that a multimodal assay combining miRNA with protein biomarkers, age, and menopausal status offered the most accurate classification of patients with an adnexal mass for the identification of early-stage ovarian cancer.

The study, entitled: “Serum miRNA improves the accuracy of a multivariate index assay for triage of an adnexal mass,” analyzed serum samples from 468 training subjects (191 cancer cases and 277 benign adnexal mass controls or healthy controls) for seven protein biomarkers and 180 miRNAs. Circulating analyte data were combined with metadata, such as age and menopausal status, into a neural network model to classify samples as cases or controls. Forward regression with ten-fold cross-validation minimized the dimensionality of the model while maximizing linear separation between cases and controls.

Results showed that a panel of 10 miRNA delivered optimal performance when combined with protein and metadata features. The combined model improved the Receiver Operator Characteristic Area Under the Curve (ROC AUC) on the internal (AUC = 0.9; 95% CI 0.81-0.95) and external validation sets (AUC = 0.95; 95% CI 0.90-0.98) compared to miRNA alone or proteins plus metadata (without miRNA). On external validation, the combined model offered 92% sensitivity at 80% specificity overall, with 80% and 100% sensitivity for early and later-stage cancers, respectively, including 78% sensitivity for early-stage, serous ovarian cancers and 82% sensitivity for early-stage, non-serous cancers.

Dr. Todd Papas, Vice President of Research & Development at Aspira Women’s Health, added, “The data are clear in showing that combining miRNA, protein and metadata improves the performance of existing technology in its ability to assess malignancy risk for women with an adnexal mass. The performance is particularly exciting for early-stage cancers and certain subtypes that have previously been more difficult to identify. Our prior research has shown that clinicians struggle to differentiate between benign and malignant masses when they use ultrasound alone, resulting in later diagnosis or unnecessary surgical intervention. We will now move forward with the verification and validation of the assay for our next generation of non-invasive diagnostic tools for ovarian cancer to add to our current OvaSuite offerings.”