ABSTRACT
Objective: This study retrospectively analyzed the clinical medical records of patients with dual phenotypic liver cancer (DPHCC) and those (non-DPHCC) in the same period to seek quick and effective biomarkers for differential diagnosis. Methods: A retrospective study was conducted on 164 patients who underwent radical hepatocellular carcinoma resection at Affiliated Hospital of Nantong University from May 2017 to May 2020, including 29 patients with DPHCC, accounting for 17.7% (age: 53.9±10.0). There were 135 non-DPHCC patients, accounting for 82.3% (age, 62.6±9.1). The clinical records of the above patients were collected,including the basic information of the patients, clinical symptoms and signs, history of infection, laboratory test indexes one day before surgery, postoperative pathological report and other relevant data, The follow-up time was 18 months and the data were complete. By analyzing the clinical data of DPHCC patients and non-DPHCC patients in the same period, to find quick and effective differential diagnostic indicators, and to explore the indicators indicating poor prognosis of DPHCC patients. Results: One-way ANOVA showed significant differences in age, AFP[143(4.8-984.8) vs 9.9(2.8-71.3) µg/L], NLR (3.650±1.924 vs 2.220±1.486), neutrophil count, lymphocyte count, vascular infiltration rate, TNM stage, Chinese Hepatocellular carcinoma Staging (CNLC), Child grade, and Japanese General Staging Score (JIS) (P<0.05). Multivariate logistic regression analysis identified age(OR score:0.967,95%CI:0.860-0.957) and NLR(OR score:1.564,95%CI:1.205-2.029) as independent risk factors for DPHCC differential diagnosis. The receiver operating characteristic(ROC) curve was used to evaluate the diagnostic efficiency of NLR, and the best cut-off value was 2.586. The combination of age at onset improved the efficiency of differential diagnosis. When reaching the maximum diagnostic efficiency, the area under curve(AUC) was 0.836, the sensitivity was 89.66%, and the specificity was 65.93%. Conclusion: NLR combined with the age of disease has certain feasibility in predicting DPHCC and may be an effective index to distinguish DPHCC from non-DPHCC patients.
