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Background: Although WAP four-disulfide core domain 2 (WFDC2) is widely recognized as a diagnostic biomarker for ovarian cancer, its function in other cancer types remains unclear. The aim of this study was to evaluate the prognostic potential of WFDC2 across multiple cancers.
Methods: Publicly available transcriptomic datasets were analyzed to compare WFDC2 mRNA expression in normal and tumor tissues across various cancer types. Kaplan-Meier survival analysis and Cox proportional hazards regression were used to assess the association between WFDC2 mRNA expression and overall survival (OS). Plasma WFDC2 levels were measured using enzyme-linked immunosorbent assay in healthy donors as well as patients with gastric, lung, colorectal, esophageal, and pancreatic cancers. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of WFDC2. Kaplan-Meier analysis was conducted to evaluate the association between WFDC2 expression and OS. Cox proportional hazards regression analysis was performed to assess the prognostic significance of WFDC2 expression.
Results: WFDC2 mRNA expression was significantly elevated in gastric cancer, lung adenocarcinoma (LUAD), esophageal carcinoma, and pancreatic ductal adenocarcinoma (p < 0.01); however, it was significantly lower in colorectal cancer (p < 0.005). Kaplan-Meier analysis indicated that elevated WFDC2 mRNA expression in LUAD was only significantly associated with prolonged OS (p = 0.017), whereas no significant associations were observed in other cancer types. Moreover, plasma WFDC2 levels were significantly higher in all cancer patient groups than in healthy donors (p < 0.0001). ROC analysis revealed potential diagnostic performance, with an area under the curve of 0.890 (95% CI: 0.844-0.936) for distinguishing patients with cancer from healthy donors. Subgroup analysis indicated diagnostic performance across all cancer types. Elevated plasma WFDC2 levels were significantly associated with shorter OS in esophageal cancer (p = 0.0226). Multivariate Cox regression analysis confirmed that plasma WFDC2 concentration was an independent prognostic factor in gastric (HR = 1.04, 95% CI: 1.00-1.07, p = 0.019) and esophageal cancers (HR = 1.08, 95% CI: 1.02-1.13, p = 0.006).
Conclusion: Plasma WFDC2 levels demonstrated potential diagnostic performance across multiple cancers and were significantly associated with poor prognosis in gastric and esophageal cancers.
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http://dx.doi.org/10.3389/fonc.2025.1614102 | DOI Listing |
Front Oncol
July 2025
Department of Clinical Diagnostic Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa Medical University, Tokyo, Japan.
Background: Although WAP four-disulfide core domain 2 (WFDC2) is widely recognized as a diagnostic biomarker for ovarian cancer, its function in other cancer types remains unclear. The aim of this study was to evaluate the prognostic potential of WFDC2 across multiple cancers.
Methods: Publicly available transcriptomic datasets were analyzed to compare WFDC2 mRNA expression in normal and tumor tissues across various cancer types.
Cancers (Basel)
July 2025
Department of Clinical Diagnostic Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa Medical University, Tokyo 157-8577, Japan.
: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy; however, reliable biomarkers of therapeutic efficacy remain limited. We investigated the clinical utility of plasma WFDC2 levels in patients receiving anti-PD-1 antibody treatment. : Twenty-one patients with non-small cell lung, gastric, or bladder cancer received nivolumab or pembrolizumab.
View Article and Find Full Text PDFBiomedicines
June 2025
Division of Vascular Surgery, St. Michael's Hospital, Toronto, ON M5B 1W8, Canada.
Abdominal aortic aneurysm (AAA) is a chronic inflammatory disease characterized by the proteolytic breakdown of the extracellular matrix. A clinical biomarker is needed for risk stratification and prognosis. : In this single-center, 5-year observational study, 452 patients were enrolled: 343 with AAA (≥3 cm), and 109 controls (<3 cm).
View Article and Find Full Text PDFBiosens Bioelectron
November 2025
Department of Biomedical Engineering, University of California, Davis, USA. Electronic address:
We report a proof-of-concept diagnostic strategy that integrates multiplexed Raman-tagged antibody labeling with label-free surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) to improve the detection of ovarian cancer via extracellular vesicles (EVs). EVs were isolated from patient plasma using size-exclusion chromatography and labeled with polyyne-based Raman tags targeting three ovarian cancer biomarkers: CA-125, HE4, and CA-19-9. Labeled and unlabeled EVs were deposited onto SERS-active substrates, and spectra were collected using a custom confocal Raman microscope.
View Article and Find Full Text PDFInt J Mol Sci
June 2025
Department of Population Medicine and Lifestyle Diseases Prevention, The Faculty of Medicine, Medical University of Białystok, 15-269 Bialystok, Poland.
Ovarian cancer (OC) has an extremely unfavourable prognosis. This is due to its asymptomatic course and lack of screening tests. Therefore, new methods are needed to diagnose OC.
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