Cargando…

Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors

BACKGROUND: Immune-checkpoint inhibitors (ICIs) have revolutionized the treatment of hepatocellular carcinoma (HCC). However, long-term survival outcomes and treatment response of HCC patients undergoing immunotherapy is unpredictable. The study aimed to evaluate the role of alpha-fetoprotein (AFP)...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Hong-Fei, Feng, Jin-Kai, Xiang, Yan-Jun, Wang, Kang, Zhou, Li-Ping, Liu, Zong-Han, Cheng, Yu-Qiang, Shi, Jie, Guo, Wei-Xing, Cheng, Shu-Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268526/
https://www.ncbi.nlm.nih.gov/pubmed/37322411
http://dx.doi.org/10.1186/s12885-023-11003-0
_version_ 1785059108329619456
author Zhu, Hong-Fei
Feng, Jin-Kai
Xiang, Yan-Jun
Wang, Kang
Zhou, Li-Ping
Liu, Zong-Han
Cheng, Yu-Qiang
Shi, Jie
Guo, Wei-Xing
Cheng, Shu-Qun
author_facet Zhu, Hong-Fei
Feng, Jin-Kai
Xiang, Yan-Jun
Wang, Kang
Zhou, Li-Ping
Liu, Zong-Han
Cheng, Yu-Qiang
Shi, Jie
Guo, Wei-Xing
Cheng, Shu-Qun
author_sort Zhu, Hong-Fei
collection PubMed
description BACKGROUND: Immune-checkpoint inhibitors (ICIs) have revolutionized the treatment of hepatocellular carcinoma (HCC). However, long-term survival outcomes and treatment response of HCC patients undergoing immunotherapy is unpredictable. The study aimed to evaluate the role of alpha-fetoprotein (AFP) combined with neutrophil-to-lymphocyte ratio (NLR) to predict the prognosis and treatment response of HCC patients receiving ICIs. METHODS: Patients with unresectable HCC who received ICI treatment were included. The HCC immunotherapy score was developed from a retrospective cohort at the Eastern Hepatobiliary Surgery Hospital to form the training cohort. The clinical variables independently associated with overall survival (OS) were identified using univariate and multivariate Cox regression analysis. Based on multivariate analysis of OS, a predictive score based on AFP and NLR was constructed, and patients were stratified into three risk groups according to this score. The clinical utility of this score to predict progression-free survival (PFS) and differentiate objective response rate (ORR) and disease control rate (DCR) was also performed. This score was validated in an independent external validation cohort at the First Affiliated Hospital of Wenzhou Medical University. RESULTS: Baseline AFP ≤ 400 ng/ml (hazard ratio [HR] 0.48; 95% CI, 0.24–0.97; P = 0.039) and NLR ≤ 2.77 (HR 0.11; 95% CI, 0.03–0.37; P<0.001) were found to be independent risk factors of OS. The two labolatory values were used to develop the score to predict survival outcomes and treatment response in HCC patients receiving immunotherapy, which assigned 1 point for AFP > 400 ng/ml and 3 points for NLR > 2.77. Patients with 0 point were classified as the low-risk group. Patients with 1–3 points were categorized as the intermediate-risk group. Patients with 4 points were classified as the high-risk group. In the training cohort, the median OS of the low-risk group was not reached. The median OS of the intermediate-risk group and high-risk group were 29.0 (95% CI 20.8–37.3) months and 16.0 (95% CI 10.8–21.2) months, respectively (P < 0.001). The median PFS of the low-risk group was not reached. The median PFS of the intermediate-risk group and high-risk group were 14.6 (95% CI 11.3–17.8) months and 7.6 (95% CI 3.6–11.7) months, respectively (P < 0.001). The ORR and DCR were highest in the low-risk group, followed by the intermediate-risk group and the high-risk group (P < 0.001, P = 0.007, respectively). This score also had good predictive power using the validation cohort. CONCLUSION: The HCC immunotherapy score based on AFP and NLR can predict survival outcomes and treatment response in patients receiving ICI treatments, suggesting that this score could serve as a useful tool for identification of HCC patients likely to benefit from immunotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11003-0.
format Online
Article
Text
id pubmed-10268526
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-102685262023-06-15 Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors Zhu, Hong-Fei Feng, Jin-Kai Xiang, Yan-Jun Wang, Kang Zhou, Li-Ping Liu, Zong-Han Cheng, Yu-Qiang Shi, Jie Guo, Wei-Xing Cheng, Shu-Qun BMC Cancer Research BACKGROUND: Immune-checkpoint inhibitors (ICIs) have revolutionized the treatment of hepatocellular carcinoma (HCC). However, long-term survival outcomes and treatment response of HCC patients undergoing immunotherapy is unpredictable. The study aimed to evaluate the role of alpha-fetoprotein (AFP) combined with neutrophil-to-lymphocyte ratio (NLR) to predict the prognosis and treatment response of HCC patients receiving ICIs. METHODS: Patients with unresectable HCC who received ICI treatment were included. The HCC immunotherapy score was developed from a retrospective cohort at the Eastern Hepatobiliary Surgery Hospital to form the training cohort. The clinical variables independently associated with overall survival (OS) were identified using univariate and multivariate Cox regression analysis. Based on multivariate analysis of OS, a predictive score based on AFP and NLR was constructed, and patients were stratified into three risk groups according to this score. The clinical utility of this score to predict progression-free survival (PFS) and differentiate objective response rate (ORR) and disease control rate (DCR) was also performed. This score was validated in an independent external validation cohort at the First Affiliated Hospital of Wenzhou Medical University. RESULTS: Baseline AFP ≤ 400 ng/ml (hazard ratio [HR] 0.48; 95% CI, 0.24–0.97; P = 0.039) and NLR ≤ 2.77 (HR 0.11; 95% CI, 0.03–0.37; P<0.001) were found to be independent risk factors of OS. The two labolatory values were used to develop the score to predict survival outcomes and treatment response in HCC patients receiving immunotherapy, which assigned 1 point for AFP > 400 ng/ml and 3 points for NLR > 2.77. Patients with 0 point were classified as the low-risk group. Patients with 1–3 points were categorized as the intermediate-risk group. Patients with 4 points were classified as the high-risk group. In the training cohort, the median OS of the low-risk group was not reached. The median OS of the intermediate-risk group and high-risk group were 29.0 (95% CI 20.8–37.3) months and 16.0 (95% CI 10.8–21.2) months, respectively (P < 0.001). The median PFS of the low-risk group was not reached. The median PFS of the intermediate-risk group and high-risk group were 14.6 (95% CI 11.3–17.8) months and 7.6 (95% CI 3.6–11.7) months, respectively (P < 0.001). The ORR and DCR were highest in the low-risk group, followed by the intermediate-risk group and the high-risk group (P < 0.001, P = 0.007, respectively). This score also had good predictive power using the validation cohort. CONCLUSION: The HCC immunotherapy score based on AFP and NLR can predict survival outcomes and treatment response in patients receiving ICI treatments, suggesting that this score could serve as a useful tool for identification of HCC patients likely to benefit from immunotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11003-0. BioMed Central 2023-06-15 /pmc/articles/PMC10268526/ /pubmed/37322411 http://dx.doi.org/10.1186/s12885-023-11003-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhu, Hong-Fei
Feng, Jin-Kai
Xiang, Yan-Jun
Wang, Kang
Zhou, Li-Ping
Liu, Zong-Han
Cheng, Yu-Qiang
Shi, Jie
Guo, Wei-Xing
Cheng, Shu-Qun
Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title_full Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title_fullStr Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title_full_unstemmed Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title_short Combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
title_sort combination of alpha-fetoprotein and neutrophil-to-lymphocyte ratio to predict treatment response and survival outcomes of patients with unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268526/
https://www.ncbi.nlm.nih.gov/pubmed/37322411
http://dx.doi.org/10.1186/s12885-023-11003-0
work_keys_str_mv AT zhuhongfei combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT fengjinkai combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT xiangyanjun combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT wangkang combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT zhouliping combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT liuzonghan combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT chengyuqiang combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT shijie combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT guoweixing combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors
AT chengshuqun combinationofalphafetoproteinandneutrophiltolymphocyteratiotopredicttreatmentresponseandsurvivaloutcomesofpatientswithunresectablehepatocellularcarcinomatreatedwithimmunecheckpointinhibitors