Innovative Biomarkers for Diagnosing Malignant Ascites in Liver Cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Liver cancer ranks among the most prevalent and lethal malignancies worldwide, with metastatic malignant ascites being a common complication. This study seeks to assess the diagnostic significance of high fluorescent cells (HFCs), biochemical and tumor markers in predicting the development of metastatic malignant ascites in patients with liver cancer. Methods: We collected ascites samples from 266 patients diagnosed with liver cancer. HFC were analyzed using the BF mode of the BC-7500 hematology analyzer, assessing both relative counts (HF-BF%) and absolute counts (HF-BF#). Additionally, biochemical and tumor markers were evaluated in serum and ascites. The diagnostic accuracy of these indicators, both individually and in combination, was assessed using receiver operating characteristic (ROC) curve analysis. Results: The malignant ascites group exhibited significantly higher levels of HF-BF%, cancer ratio 2 (Ratio2, ascites LDH: ascites ADA Ratio), and neuron-specific enolase (NSE) compared to the benign group, identifying these markers as independent risk factors for malignant ascites in liver cancer patients. Ratio2 demonstrated limited diagnostic value for malignant ascites, with an area under the curve (AUC) of 0.614. In contrast, HF-BF% and NSE showed moderate diagnostic capabilities, with AUCs of 0.760 and 0.700, respectively. The combined assessment of all three indicators yielded a high diagnostic capability, with an AUC of 0.824. The critical values for NSE, HF-BF%, and Ratio2 were 11.42 U/mL, 4.35/100 WBC, and 32.82%, respectively. Conclusion: The combined evaluation of HF-BF%, Ratio2, and NSE serves as a valuable indicator for predicting the occurrence of metastatic malignant ascites in liver cancer patients.
Source: OncoTargets and Therapy
DOI: 10.2147/ott.s527224
Institutions: Zhejiang Chinese Medical University, Hangzhou Xixi hospital
Language: English
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
OpenAlex ID: W4413222177
