Cargando…
Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram
BACKGROUND: Accurate prognosis is crucial for improving hepatocellular carcinoma (HCC) patients, clinical management, and outcomes post-liver resection. However, the lack of reliable prognostic indicators poses a significant challenge. This study aimed to develop a user-friendly nomogram to predict...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577246/ https://www.ncbi.nlm.nih.gov/pubmed/37850078 http://dx.doi.org/10.2147/JHC.S425344 |
_version_ | 1785121284210819072 |
---|---|
author | Lin, Qiumei Jiang, Zongwei Mo, Dan Liu, Fengfei Qin, Yuling Liang, Yihua Cheng, Yuchen Huang, Hao Fang, Min |
author_facet | Lin, Qiumei Jiang, Zongwei Mo, Dan Liu, Fengfei Qin, Yuling Liang, Yihua Cheng, Yuchen Huang, Hao Fang, Min |
author_sort | Lin, Qiumei |
collection | PubMed |
description | BACKGROUND: Accurate prognosis is crucial for improving hepatocellular carcinoma (HCC) patients, clinical management, and outcomes post-liver resection. However, the lack of reliable prognostic indicators poses a significant challenge. This study aimed to develop a user-friendly nomogram to predict HCC patients’ post-resection prognosis. METHODS: We retrospectively analyzed the data from 1091 HCC patients, randomly split into training (n=767) and validation (n=324) cohorts. Receiver operating characteristic (ROC) curves determined the optimal cut-off value for alpha1-microglobulin (α1MG) and Beta2-microglobulin (β2MG). Kaplan–Meier analysis assessed microglobulin’s impact on survival, followed by Cox regression to identify prognostic factors and construct a nomogram. The predictive accuracy and discriminative ability of the nomogram were measured by the concordance index (C-index), calibration curves, area under the ROC curve (AUC), and decision curve analysis (DCA), and were compared with the BCLC staging system, Edmondson grade, or BCLC stage plus Edmondson grade. RESULTS: Patients with high β2MG (≥2.395mg/L) had worse overall survival (OS). The nomogram integrated β2MG, BCLC stage, Edmondson grade, microvascular invasion (MVI), and serum carbohydrate antigen 199 (CA199) levels. C-index for training and validation cohorts (0.712 and 0.709) outperformed the BCLC stage (0.660 and 0.657), Edmondson grade (0.579 and 0.564), and the combination of BCLC stage with Edmondson grade (0.681 and 0.668), improving prognosis prediction. Calibration curves demonstrated good agreement between predicted and observed survival. AUC values exceeded 0.700 over time, highlighting the nomogram’s discriminative ability. DCA revealed superior overall net income compared to other systems, emphasizing its clinical utility. CONCLUSION: Our β2MG-based nomogram accurately predicts HCC patients’ post-resection prognosis, aiding intervention and follow-up planning. Significantly, our nomogram surpasses existing prognostic indicators, including BCLC stage, Edmondson grade, and the combination of BCLC stage with Edmondson grade, by demonstrating superior predictive performance. |
format | Online Article Text |
id | pubmed-10577246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-105772462023-10-17 Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram Lin, Qiumei Jiang, Zongwei Mo, Dan Liu, Fengfei Qin, Yuling Liang, Yihua Cheng, Yuchen Huang, Hao Fang, Min J Hepatocell Carcinoma Original Research BACKGROUND: Accurate prognosis is crucial for improving hepatocellular carcinoma (HCC) patients, clinical management, and outcomes post-liver resection. However, the lack of reliable prognostic indicators poses a significant challenge. This study aimed to develop a user-friendly nomogram to predict HCC patients’ post-resection prognosis. METHODS: We retrospectively analyzed the data from 1091 HCC patients, randomly split into training (n=767) and validation (n=324) cohorts. Receiver operating characteristic (ROC) curves determined the optimal cut-off value for alpha1-microglobulin (α1MG) and Beta2-microglobulin (β2MG). Kaplan–Meier analysis assessed microglobulin’s impact on survival, followed by Cox regression to identify prognostic factors and construct a nomogram. The predictive accuracy and discriminative ability of the nomogram were measured by the concordance index (C-index), calibration curves, area under the ROC curve (AUC), and decision curve analysis (DCA), and were compared with the BCLC staging system, Edmondson grade, or BCLC stage plus Edmondson grade. RESULTS: Patients with high β2MG (≥2.395mg/L) had worse overall survival (OS). The nomogram integrated β2MG, BCLC stage, Edmondson grade, microvascular invasion (MVI), and serum carbohydrate antigen 199 (CA199) levels. C-index for training and validation cohorts (0.712 and 0.709) outperformed the BCLC stage (0.660 and 0.657), Edmondson grade (0.579 and 0.564), and the combination of BCLC stage with Edmondson grade (0.681 and 0.668), improving prognosis prediction. Calibration curves demonstrated good agreement between predicted and observed survival. AUC values exceeded 0.700 over time, highlighting the nomogram’s discriminative ability. DCA revealed superior overall net income compared to other systems, emphasizing its clinical utility. CONCLUSION: Our β2MG-based nomogram accurately predicts HCC patients’ post-resection prognosis, aiding intervention and follow-up planning. Significantly, our nomogram surpasses existing prognostic indicators, including BCLC stage, Edmondson grade, and the combination of BCLC stage with Edmondson grade, by demonstrating superior predictive performance. Dove 2023-10-11 /pmc/articles/PMC10577246/ /pubmed/37850078 http://dx.doi.org/10.2147/JHC.S425344 Text en © 2023 Lin et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Lin, Qiumei Jiang, Zongwei Mo, Dan Liu, Fengfei Qin, Yuling Liang, Yihua Cheng, Yuchen Huang, Hao Fang, Min Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title | Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title_full | Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title_fullStr | Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title_full_unstemmed | Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title_short | Beta2-Microglobulin as Predictive Biomarkers in the Prognosis of Hepatocellular Carcinoma and Development of a New Nomogram |
title_sort | beta2-microglobulin as predictive biomarkers in the prognosis of hepatocellular carcinoma and development of a new nomogram |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577246/ https://www.ncbi.nlm.nih.gov/pubmed/37850078 http://dx.doi.org/10.2147/JHC.S425344 |
work_keys_str_mv | AT linqiumei beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT jiangzongwei beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT modan beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT liufengfei beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT qinyuling beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT liangyihua beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT chengyuchen beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT huanghao beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram AT fangmin beta2microglobulinaspredictivebiomarkersintheprognosisofhepatocellularcarcinomaanddevelopmentofanewnomogram |