Albumin-to-alkaline phosphatase ratio as a predictor of tumor recurrence and prognosis in patients with early-stage hepatocellular carcinoma undergoing radiofrequency ablation as initial therapy
| Autor: | Feng Zhang, Shen-Xin Lu, Ke-Shu Hu, Yu-Hong Gan, Yi Chen, Ning-Lin Ge, Bi-Wei Yang, Lan Zhang, Rong-Xin Chen, Zheng-Gang Ren, Xin Yin |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | International Journal of Hyperthermia, Vol 38, Iss 1, Pp 1-10 (2021) |
| Druh dokumentu: | article |
| ISSN: | 0265-6736 1464-5157 02656736 |
| DOI: | 10.1080/02656736.2020.1850885 |
| Popis: | Objective Albumin-to-alkaline phosphatase ratio (AAPR), a newly developed blood biomarker, has been reported to have prognostic value in several types of cancer. This study aimed to investigate the predictive value of AAPR in patients with early-stage hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA) as initial therapy. Methods This retrospective study analyzed 445 patients with newly diagnosed HCC undergoing RFA as initial therapy. A series of survival analyses were performed to evaluate the prognostic value of AAPR. Univariate and multivariate analyses were performed to identify independent prognostic factors. An AAPR-based nomogram was constructed, and its predictive performance was validated. Results Patients with a low AAPR had a significantly reduced recurrence-free survival (RFS) and overall survival (OS) compared with those with a high AAPR. AAPR was found to be an independent prognostic indicator and showed superior discrimination efficacy than other liver function indices. The AAPR-based nomogram had a concordance index value of 0.72 (95% confidence interval [CI]: 0.65–0.79) in the training cohort and 0.72 (95% CI: 0.63–0.81) in the validation cohort, which significantly outperformed other existing staging systems. Conclusions AAPR serves as a promising indicator of prognosis in patients with early-stage HCC undergoing RFA. The AAPR-based nomogram might contribute to individualized prognosis prediction and clinical decision making. |
| Databáze: | Directory of Open Access Journals |
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