Case Study: CyPath® Lung Identifies Stage 1A Lung Cancer in High-Risk Patient Missed by Imaging and Serum Tests

Case Study: CyPath® Lung Identifies Stage 1A Lung Cancer in High-Risk Patient Missed by Imaging and Serum Tests

A biotechnology company focused on noninvasive diagnostics and early cancer detection, today shared another compelling patient case study in which its flagship test, CyPath® Lung, detected pulmonary mucinous adenocarcinoma in a high-risk individual whose previous tests and follow-up scans had suggested a low probability of cancer that could have led to diagnosis at a later, less treatable stage.

This patient had low PET uptake, low serum marker risk, and gaps in imaging. CyPath® Lung helped identify a relatively rare cancer that may have otherwise gone untreated.”Share

CyPath® Lung gave us the diagnostic clarity we needed to intervene before this cancer progressed further,” said Gordon Downie, MD, PhD, bioAffinity Technologies’ Chief Medical Officer. “This patient had low PET uptake, low serum marker risk, and gaps in imaging. CyPath® Lung helped identify a relatively rare cancer that may have otherwise gone untreated.

Once again, CyPath® Lung has demonstrated that it can detect lung cancer at Stage 1A when traditional diagnostic tests indicated a low probability of cancer. For high-risk patients with inconclusive imaging or limited diagnostic options, we believe that our noninvasive test can offer a vital path forward. Every early diagnosis is a life potentially saved, and that’s the promise CyPath® Lung seeks to deliver on every day,” said Maria Zannes, President and CEO of bioAffinity Technologies.

The female patient, now 62 years old with a history of heavy smoking and COPD, initially presented in 2022 with a suspicious left upper lobe ground-glass opacity (GGO), a hazy gray area on the CT scan that indicates increased density in the airways. The initial PET scan in 2022 showed low uptake of the radioactive tracer, which is consistent with a benign outcome, and a blood-based risk test reported a reduced malignancy risk of 11%. Serial LDCTs appeared stable through 2023, but a July 2024 scan revealed a transition to a more solid nodule, raising clinical concern.

When the patient opted against surveillance CT scans and a follow-up PET scan, her physician ordered the CyPath® Lung test in March 2025. The test result of 0.56 – classified as “likely malignancy” – prompted her care team to recommend surgical consultation. The patient subsequently underwent wedge resection of the upper left lung in June 2025.

Final pathology confirmed Stage 1A invasive mucinous adenocarcinoma, a lung cancer subtype that is frequently missed by standard imaging and often presents with subtle radiographic changes. The patient successfully quit smoking in March 2025.

About CyPath® Lung

CyPath® Lung uses proprietary advanced flow cytometry and artificial intelligence (AI) to identify cell populations in patient sputum that indicate malignancy. Automated data analysis helps determine if cancer is present or if the patient is cancer-free. CyPath® Lung incorporates a fluorescent porphyrin that is preferentially taken up by cancer and cancer-related cells. Clinical study results demonstrated that CyPath® Lung had 92% sensitivity, 87% specificity and 88% accuracy in detecting lung cancer in patients at high risk for the disease who had small lung nodules less than 20 millimeters. Diagnosing and treating early-stage lung cancer can improve outcomes and increase patient survival. For more information, visit www.cypathlung.com.

About bioAffinity Technologies, Inc.

BioAffinity Technologies, Inc. addresses the need for noninvasive diagnosis of early-stage cancer and other diseases of the lung and broad-spectrum cancer treatments. The Company’s first product, CyPath® Lung, is a noninvasive test that has shown high sensitivity, specificity and accuracy for the detection of early-stage lung cancer. CyPath® Lung is marketed as a Laboratory Developed Test (LDT) by Precision Pathology Laboratory Services, a subsidiary of bioAffinity Technologies. For more information, visit www.bioaffinitytech.com.

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