AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study
Abstract Background Most hepatocellular carcinoma (HCC) patients’ liver function indexes are abnormal. We aimed to investigate the relationship between (alkaline phosphatase + gamma-glutamyl transpeptidase)/lymphocyte ratio (AGLR) and the progression as well as the prognosis of HCC. Methods A total...
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doaj-ce0a9111d4684c88b3a5bba64d5fff632021-02-07T12:22:54ZengBMCBMC Surgery1471-24822021-02-0121111210.1186/s12893-020-01037-7AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective studyYan Liao0Rongyu Wei1Renzhi Yao2Liling Qin3Jun Li4Junxiong Yu5Weijia Liao6Laboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityDepartment of Anesthesiology, The Second Affiliated Hospital of Guilin Medical UniversityLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical UniversityAbstract Background Most hepatocellular carcinoma (HCC) patients’ liver function indexes are abnormal. We aimed to investigate the relationship between (alkaline phosphatase + gamma-glutamyl transpeptidase)/lymphocyte ratio (AGLR) and the progression as well as the prognosis of HCC. Methods A total of 495 HCC patients undergoing radical hepatectomy were retrospectively analyzed. We randomly divided these patients into the training cohort (n = 248) and the validation cohort (n = 247). In the training cohort, receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of AGLR for predicting postoperative survival of HCC patients, and the predictive value of AGLR was evaluated by concordance index (C-index). Further analysis of clinical and biochemical data of patients and the correlation analysis between AGLR and other clinicopathological factors were finished. Univariate and multivariate analyses were performed to identify prognostic factors for HCC patients. Survival curves were analyzed using the Kaplan–Meier method. Results According to the ROC curve analysis, the optimal predictive cut-off value of AGLR was 90. The C-index of AGLR was 0.637 in the training cohort and 0.654 in the validation cohort, respectively. Based on this value, the HCC patients were divided into the low-AGLR group (AGLR ≤ 90) and the high-AGLR group (AGLR > 90). Preoperative AGLR level was positively correlated with alpha-fetoprotein (AFP), tumor size, tumor-node-metastasis (TNM) stage, and microvascular invasion (MVI) (all p < 0.05). In the training and validation cohorts, patients with AGLR > 90 had significantly shorter OS than patients with AGLR ≤ 90 (p < 0.001). Univariate and multivariate analyses of the training cohort (HR, 1.79; 95% CI 1.21–2.69; p < 0.001) and validation cohort (HR, 1.82; 95% CI 1.35–2.57; p < 0.001) had identified AGLR as an independent prognostic factor. A new prognostic scoring model was established based on the independent predictors determined in multivariate analysis. Conclusions The elevated preoperative AGLR level indicated poor prognosis for patients with HCC; the novel prognostic scoring model had favorable predictive capability for postoperative prognosis of HCC patients, which may bring convenience for clinical management.https://doi.org/10.1186/s12893-020-01037-7Hepatocellular carcinomaAGLRPrognosisBiomarker |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Liao Rongyu Wei Renzhi Yao Liling Qin Jun Li Junxiong Yu Weijia Liao |
spellingShingle |
Yan Liao Rongyu Wei Renzhi Yao Liling Qin Jun Li Junxiong Yu Weijia Liao AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study BMC Surgery Hepatocellular carcinoma AGLR Prognosis Biomarker |
author_facet |
Yan Liao Rongyu Wei Renzhi Yao Liling Qin Jun Li Junxiong Yu Weijia Liao |
author_sort |
Yan Liao |
title |
AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
title_short |
AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
title_full |
AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
title_fullStr |
AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
title_full_unstemmed |
AGLR is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
title_sort |
aglr is a novel index for the prognosis of hepatocellular carcinoma patients: a retrospective study |
publisher |
BMC |
series |
BMC Surgery |
issn |
1471-2482 |
publishDate |
2021-02-01 |
description |
Abstract Background Most hepatocellular carcinoma (HCC) patients’ liver function indexes are abnormal. We aimed to investigate the relationship between (alkaline phosphatase + gamma-glutamyl transpeptidase)/lymphocyte ratio (AGLR) and the progression as well as the prognosis of HCC. Methods A total of 495 HCC patients undergoing radical hepatectomy were retrospectively analyzed. We randomly divided these patients into the training cohort (n = 248) and the validation cohort (n = 247). In the training cohort, receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of AGLR for predicting postoperative survival of HCC patients, and the predictive value of AGLR was evaluated by concordance index (C-index). Further analysis of clinical and biochemical data of patients and the correlation analysis between AGLR and other clinicopathological factors were finished. Univariate and multivariate analyses were performed to identify prognostic factors for HCC patients. Survival curves were analyzed using the Kaplan–Meier method. Results According to the ROC curve analysis, the optimal predictive cut-off value of AGLR was 90. The C-index of AGLR was 0.637 in the training cohort and 0.654 in the validation cohort, respectively. Based on this value, the HCC patients were divided into the low-AGLR group (AGLR ≤ 90) and the high-AGLR group (AGLR > 90). Preoperative AGLR level was positively correlated with alpha-fetoprotein (AFP), tumor size, tumor-node-metastasis (TNM) stage, and microvascular invasion (MVI) (all p < 0.05). In the training and validation cohorts, patients with AGLR > 90 had significantly shorter OS than patients with AGLR ≤ 90 (p < 0.001). Univariate and multivariate analyses of the training cohort (HR, 1.79; 95% CI 1.21–2.69; p < 0.001) and validation cohort (HR, 1.82; 95% CI 1.35–2.57; p < 0.001) had identified AGLR as an independent prognostic factor. A new prognostic scoring model was established based on the independent predictors determined in multivariate analysis. Conclusions The elevated preoperative AGLR level indicated poor prognosis for patients with HCC; the novel prognostic scoring model had favorable predictive capability for postoperative prognosis of HCC patients, which may bring convenience for clinical management. |
topic |
Hepatocellular carcinoma AGLR Prognosis Biomarker |
url |
https://doi.org/10.1186/s12893-020-01037-7 |
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