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预测免疫检查点抑制剂在食管癌中的疗效:免疫治疗前后外周血淋巴细胞亚群的变化

Predicting the Efficacy of Immune Checkpoint Inhibitors in Esophageal Cancer: Changes in Peripheral Blood Lymphocyte Subsets Before and After Immunotherapy.

作者信息

Cao Ruijie, Jiao Pengqing, Zhang Shasha, Li Jiasong, Liu Qingyi

机构信息

Department of Immunology and Rheumatology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.

Department of Cardiothoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.

出版信息

Cancer Manag Res. 2025 Apr 16;17:815-825. doi: 10.2147/CMAR.S503171. eCollection 2025.


DOI:10.2147/CMAR.S503171
PMID:40256769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12009565/
Abstract

BACKGROUND: Immunotherapy has demonstrated potential in the treatment of esophageal cancer (EC); however, the overall response rate (ORR) remains below 30% among EC patients. Herein, the use of peripheral blood lymphocyte subsets as biomarkers was explored to evaluate the efficacy of immunotherapy in this patient population. METHODS: Sixty-three patients were enrolled. The patients were diagnosed with EC and treated with immune checkpoint inhibitors (ICIs) at The Fourth Hospital of Hebei Medical University from December 2019 to June 2023. Kaplan-Meier (KM) survival curves were used to reflect differences in survival benefit. The prognostic factors of survival were investigated using the Cox proportional hazards regression model for both univariate and multivariate analyses. Two-tailed P values were reported and statistical significance was defined as P < 0.05. RESULTS: The results of univariate and multifactorial Cox regression analysis for progression-free survival (PFS) revealed that only CD8+ T lymphocytes demonstrated a significant association with PFS (P = 0.034, P = 0.020). Additionally, the multifactorial Cox regression analysis results for overall survival (OS) revealed a significant association between natural killer (NK) cells and OS (P=0.049). Further, a systematic analysis was conducted on the CD8+ T cell biomarker. The KM survival curves indicated that the group with low CD8+ T cell levels experienced a significantly greater PFS benefit compared to the high CD8+ T cell group (P = 0.030). CONCLUSION: The present study reveals that the reduction of both CD8+ T lymphocytes and NK cells in peripheral blood lymphocyte subsets after immunotherapy can serve as superior predictors for the effectiveness of ICIs in patients diagnosed with EC.

摘要

背景:免疫疗法已在食管癌(EC)治疗中展现出潜力;然而,EC患者的总体缓解率(ORR)仍低于30%。在此,探讨使用外周血淋巴细胞亚群作为生物标志物来评估该患者群体免疫疗法的疗效。 方法:纳入63例患者。这些患者于2019年12月至2023年6月在河北医科大学第四医院被诊断为EC并接受免疫检查点抑制剂(ICI)治疗。采用Kaplan-Meier(KM)生存曲线来反映生存获益的差异。使用Cox比例风险回归模型对生存的预后因素进行单因素和多因素分析。报告双侧P值,统计学显著性定义为P<0.05。 结果:无进展生存期(PFS)的单因素和多因素Cox回归分析结果显示,只有CD8 + T淋巴细胞与PFS有显著关联(P = 0.034,P = 0.020)。此外,总生存期(OS)的多因素Cox回归分析结果显示自然杀伤(NK)细胞与OS之间存在显著关联(P = 0.049)。此外,对CD8 + T细胞生物标志物进行了系统分析。KM生存曲线表明,与高CD8 + T细胞组相比,低CD8 + T细胞水平组的PFS获益显著更大(P = 0.030)。 结论:本研究表明,免疫治疗后外周血淋巴细胞亚群中CD8 + T淋巴细胞和NK细胞的减少可作为诊断为EC的患者ICI疗效的优越预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/2186d8df7c9c/CMAR-17-815-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/1daa00dfaabd/CMAR-17-815-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/c2c2c6bd2323/CMAR-17-815-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/2186d8df7c9c/CMAR-17-815-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/1daa00dfaabd/CMAR-17-815-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/c2c2c6bd2323/CMAR-17-815-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0948/12009565/2186d8df7c9c/CMAR-17-815-g0003.jpg

相似文献

[1]
Predicting the Efficacy of Immune Checkpoint Inhibitors in Esophageal Cancer: Changes in Peripheral Blood Lymphocyte Subsets Before and After Immunotherapy.

Cancer Manag Res. 2025-4-16

[2]
Association of lymphocyte subsets with efficacy and prognosis of immune checkpoint inhibitor therapy in advanced non-small cell lung carcinoma: a retrospective study.

BMC Pulm Med. 2022-4-28

[3]
Association of lymphocyte subsets with the efficacy and prognosis of PD‑1 inhibitor therapy in advanced gastric cancer: results from a monocentric retrospective study.

BMC Gastroenterol. 2024-3-15

[4]
A nomogram model based on peripheral blood lymphocyte subsets to assess the prognosis of non-small cell lung cancer patients treated with immune checkpoint inhibitors.

Transl Lung Cancer Res. 2021-12

[5]
The alterations in peripheral lymphocyte subsets predict the efficacy and prognosis of immune checkpoint inhibitors in hepatocellular carcinoma.

J Cancer. 2023-9-11

[6]
Peripheral blood lymphocyte subpopulations as predictive biomarkers for first-line programmed death 1 inhibitors efficacy in esophageal squamous cell carcinoma: A retrospective study.

Medicine (Baltimore). 2024-10-4

[7]
Associations between peripheral blood lymphocyte subsets and clinical outcomes in patients with lung cancer treated with immune checkpoint inhibitor.

Ann Palliat Med. 2021-3

[8]
Association of lymphocyte subsets percentage with prognosis for recurrent or metastatic nasopharyngeal carcinoma patients receiving PD-L1 inhibitors.

Cancer Immunol Immunother. 2025-3-1

[9]
Clinical markers predict the efficacy of several immune checkpoint inhibitors in patients with non-small cell lung cancer in China.

Front Immunol. 2023

[10]
Efficacy and safety of immunotherapy in real-world patients with advanced non-small cell lung cancer.

Cancer Treat Res Commun. 2025

本文引用的文献

[1]
Predictive value of PD-L1 expression in response to immune checkpoint inhibitors for esophageal cancer treatment: A systematic review and meta-analysis.

Front Oncol. 2022-12-15

[2]
Immunotherapy resistance in esophageal cancer: Possible mechanisms and clinical implications.

Front Immunol. 2022

[3]
Positive Correlation of Peripheral CD8 T Lymphocytes with Immune-Related Adverse Events and Combinational Prognostic Value in Advanced Non-Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors.

Cancers (Basel). 2022-7-22

[4]
Peripheral Blood Lymphocyte Subsets Predict the Efficacy of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer.

Front Immunol. 2022

[5]
CD4 Cytotoxic T cells - Phenotype, Function and Transcriptional Networks Controlling Their Differentiation Pathways.

Immunol Lett. 2022-7

[6]
Biomarkers for predicting the efficacy of immune checkpoint inhibitors.

J Cancer. 2022-1-1

[7]
T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma.

Nat Med. 2022-2

[8]
Immune checkpoint blockade sensitivity and progression-free survival associates with baseline CD8 T cell clone size and cytotoxicity.

Sci Immunol. 2021-10

[9]
Pembrolizumab plus chemotherapy versus chemotherapy alone for first-line treatment of advanced oesophageal cancer (KEYNOTE-590): a randomised, placebo-controlled, phase 3 study.

Lancet. 2021-8-28

[10]
Innate lymphoid cells and cancer: Role in tumor progression and inhibition.

Eur J Immunol. 2021-9

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