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Predictive role of the monocyte-to-lymphocyte ratio in advanced hepatocellular carcinoma patients receiving anti-PD-1 therapy.

Authors :
Zhu ZF
Zhuang LP
Zhang CY
Ning ZY
Wang D
Sheng J
Hua YQ
Xie J
Xu LT
Meng ZQ
Source :
Translational cancer research [Transl Cancer Res] 2022 Jan; Vol. 11 (1), pp. 160-170.
Publication Year :
2022

Abstract

Background: The immune checkpoint inhibitor (ICIs) therapy has been proven effective in a range of solid tumors including hepatocellular carcinoma (HCC), non-small cell lung carcinoma and metastatic melanoma. However, only a subset of approximately 20% of patients shows an objective response to anti-PD-1 therapy in HCC. Furthermore, the response to anti-PD-1 therapy is not correlated with programmed cell death 1 ligand expression in tumor tissue. Therefore, it is urgent to identify a biomarker to predict the response of anti-PD-1 therapy.<br />Methods: This retrospective study was conducted at the Fudan University Shanghai Cancer Center from December 2019 to June 2021. The monocyte-to-lymphocyte ratio (MLR) was analyzed using a receiver operating characteristic (ROC) curve. A Cox regression model and the log-rank test were used to analyze the relationship between the MLR value and the time to progression (TTP).<br />Results: A total of 34 advanced HCC patients were enrolled in this study. The cut-off point for the MLR at baseline was 0.35. Univariate and multivariate Cox regression models showed that the MLR at baseline was significantly correlated with the TTP (P<0.05). Consistent results were found for disease progression. The log-rank test showed that patients in the low MLR group had a longer TTP (P=0.0027). At the time of disease progression, the median TTP in the low and high MLR groups were 33 and 18 weeks, respectively (P=0.0047).<br />Conclusions: The MLR can predict the response to anti-PD-1 therapy, and a high MLR is correlated with a short TTP in anti-PD-1-treated HCC patients.<br />Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-21-1760/coif). The authors have no conflicts of interest to declare.<br /> (2022 Translational Cancer Research. All rights reserved.)

Details

Language :
English
ISSN :
2219-6803
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Translational cancer research
Publication Type :
Academic Journal
Accession number :
35261893
Full Text :
https://doi.org/10.21037/tcr-21-1760