The predictive value of the lymphocyte-C-reactive protein ratio for early recurrence in MVI positive HCC patients who underwent postoperative adjuvant transcatheter arterial chemoembolization

In this study, we evaluated the prognostic capacity of the lymphocyte-to-C-reactive protein ratio (LCR) in predicting one-year recurrence among patients with microvascular invasion (MVI)-positive hepatocellular carcinoma (HCC) who underwent postoperative adjuvant transarterial chemoembolization (PA-TACE). A total of 480 HCC patients were retrospectively enrolled in this single-center study. Among them, 146 patients with MVI-positive HCC underwent PA-TACE. The LCR was calculated prior to surgery using the formula: LCR = 104 × lymphocyte count (109/L) / C‑reactive protein (mg/L). The predictive value of LCR for early recurrence was assessed using LASSO regression, along with univariate and multivariate Cox regression analyses. A prognostic model was subsequently developed and validated through decision curve analysis (DCA) and receiver operating characteristic (ROC) curve analysis. In the nomogram model, an LCR value below 11,000 (≤ 11,000 vs. > 11,000; HR = 3.268, 95% CI: 1.346–7.936, P = 0.009) was associated with worse 1-year RFS in HCC patients who underwent PA-TACE. The nomogram also incorporated additional prognostic variables: alpha-fetoprotein (AFP) > 20 ng/mL (> 400 vs. ≤ 20; HR = 2.635, 95% CI: 1.255–5.532, P = 0.010), tumor diameter (HR = 1.153, 95% CI: 1.053–1.253, P = 0.002), ALT level (HR = 0.359, 95% CI: 0.179–0.718, P = 0.004), and MVI class (class 2 vs. class 1; HR = 2.438, 95% CI: 1.344–4.422, P = 0.003). The combined nomogram demonstrated a satisfactory discriminative ability, with a concordance index of 0.759 (95% CI: 0.694–0.825). Furthermore, time-dependent ROC analysis confirmed the model’s predictive accuracy, yielding an AUC of 0.788 (95% CI: 0.714–0.863). Both time-dependent ROC and decision curve analyses supported the clinical utility of the nomogram for recurrence risk stratification. LCR is an important prognostic factor for early recurrence in MVI-positive HCC patients who received PA-TACE. Our nomogram model combining LCR shown sufficient discrimination ability and ideal prediction capability to distinguish patients at risk for early recurrence.

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Journal
BMC Cancer
Published
2026-04-17
DOI
https://doi.org/10.1186/s12885-026-16036-9
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

The predictive value of the lymphocyte-C-reactive protein ratio for early recurrence in MVI positive HCC patients who underwent postoperative adjuvant transcatheter arterial chemoembolization

Shengdong Wu, Shuqi Mao, Jihan Sun, 陆才德 et al.
BMC Cancer
Inflammatory Biomarkers in Disease Prognosis
article

The predictive value of the lymphocyte-C-reactive protein ratio for early recurrence in MVI positive HCC patients who underwent postoperative adjuvant transcatheter arterial chemoembolization

Shengdong Wu, Shuqi Mao, Jihan Sun, 陆才德, Xi Yu, Jiongze Fang, Yuying Shan, Jing Huang
article en

Abstract

In this study, we evaluated the prognostic capacity of the lymphocyte-to-C-reactive protein ratio (LCR) in predicting one-year recurrence among patients with microvascular invasion (MVI)-positive hepatocellular carcinoma (HCC) who underwent postoperative adjuvant transarterial chemoembolization (PA-TACE). A total of 480 HCC patients were retrospectively enrolled in this single-center study. Among them, 146 patients with MVI-positive HCC underwent PA-TACE. The LCR was calculated prior to surgery using the formula: LCR = 104 × lymphocyte count (109/L) / C‑reactive protein (mg/L). The predictive value of LCR for early recurrence was assessed using LASSO regression, along with univariate and multivariate Cox regression analyses. A prognostic model was subsequently developed and validated through decision curve analysis (DCA) and receiver operating characteristic (ROC) curve analysis. In the nomogram model, an LCR value below 11,000 (≤ 11,000 vs. > 11,000; HR = 3.268, 95% CI: 1.346–7.936, P = 0.009) was associated with worse 1-year RFS in HCC patients who underwent PA-TACE. The nomogram also incorporated additional prognostic variables: alpha-fetoprotein (AFP) > 20 ng/mL (> 400 vs. ≤ 20; HR = 2.635, 95% CI: 1.255–5.532, P = 0.010), tumor diameter (HR = 1.153, 95% CI: 1.053–1.253, P = 0.002), ALT level (HR = 0.359, 95% CI: 0.179–0.718, P = 0.004), and MVI class (class 2 vs. class 1; HR = 2.438, 95% CI: 1.344–4.422, P = 0.003). The combined nomogram demonstrated a satisfactory discriminative ability, with a concordance index of 0.759 (95% CI: 0.694–0.825). Furthermore, time-dependent ROC analysis confirmed the model’s predictive accuracy, yielding an AUC of 0.788 (95% CI: 0.714–0.863). Both time-dependent ROC and decision curve analyses supported the clinical utility of the nomogram for recurrence risk stratification. LCR is an important prognostic factor for early recurrence in MVI-positive HCC patients who received PA-TACE. Our nomogram model combining LCR shown sufficient discrimination ability and ideal prediction capability to distinguish patients at risk for early recurrence.

BMC Cancer
Ningbo Medical Center Lihuili Hospital (CN)
Natural Science Foundation of Ningbo
Zero hunger
Openalex Percentile: Top 22%
Inflammatory Biomarkers in Disease Prognosis
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