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流式细胞术定量检测肿瘤浸润淋巴细胞对弥漫性大 B 细胞淋巴瘤患者生存的预测价值。

Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma.

机构信息

Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United States.

Duke University Cancer Institute, Durham, NC, United States.

出版信息

Front Immunol. 2024 Jan 29;15:1335689. doi: 10.3389/fimmu.2024.1335689. eCollection 2024.

Abstract

INTRODUCTION

Our previous studies have demonstrated that tumor-infiltrating lymphocytes (TILs), including normal B cells, T cells, and natural killer (NK) cells, in diffuse large B-cell lymphoma (DLBCL) have a significantly favorable impact on the clinical outcomes of patients treated with standard chemoimmunotherapy. In this study, to gain a full overview of the tumor immune microenvironment (TIME), we assembled a flow cytometry cohort of 102 patients diagnosed with DLBCL at the Duke University Medical Center.

METHODS

We collected diagnostic flow cytometry data, including the proportion of T cells, abnormal B cells, normal B cells, plasma cells, NK cells, monocytes, and granulocytes in fresh biopsy tissues at clinical presentation, and analyzed the correlations with patient survival and between different cell populations.

RESULTS

We found that low T cell percentages in all viable cells and low ratios of T cells to abnormal B cells correlated with significantly poorer survival, whereas higher percentages of normal B cells among total B cells (or high ratios of normal B cells to abnormal B cells) and high percentages of NK cells among all viable cells correlated with significantly better survival in patients with DLBCL. After excluding a small number of patients with low T cell percentages, the normal B cell percentage among all B cells, but not T cell percentage among all cells, continued to show a remarkable prognostic effect. Data showed significant positive correlations between T cells and normal B cells, and between granulocytes and monocytes. Furthermore, we constructed a prognostic model based on clinical and flow cytometry factors, which divided the DLBCL cohort into two equal groups with remarkable differences in patient survival and treatment response.

SUMMARY

TILs, including normal B cells, T cells, and NK cells, are associated with favorable clinical outcomes in DLBCL, and flow cytometry capable of quantifying the TIME may have additional clinical utility for prognostication.

摘要

简介

我们之前的研究表明,弥漫性大 B 细胞淋巴瘤(DLBCL)中的肿瘤浸润淋巴细胞(TIL),包括正常 B 细胞、T 细胞和自然杀伤(NK)细胞,对接受标准化疗免疫治疗的患者的临床结局有显著的积极影响。在这项研究中,为了全面了解肿瘤免疫微环境(TIME),我们在杜克大学医学中心收集了 102 例诊断为 DLBCL 的患者的流式细胞术队列。

方法

我们收集了诊断性流式细胞术数据,包括患者在临床就诊时新鲜活检组织中 T 细胞、异常 B 细胞、正常 B 细胞、浆细胞、NK 细胞、单核细胞和粒细胞的比例,并分析了与患者生存的相关性以及不同细胞群之间的相关性。

结果

我们发现,所有活细胞中 T 细胞比例低,T 细胞与异常 B 细胞的比例低与生存显著较差相关,而总 B 细胞中正常 B 细胞比例高(或正常 B 细胞与异常 B 细胞的比例高)和所有活细胞中 NK 细胞比例高与 DLBCL 患者的生存显著改善相关。排除少数 T 细胞比例低的患者后,所有 B 细胞中的正常 B 细胞比例,但不是所有细胞中的 T 细胞比例,继续显示出显著的预后效果。数据显示 T 细胞与正常 B 细胞之间以及粒细胞与单核细胞之间存在显著的正相关关系。此外,我们基于临床和流式细胞术因素构建了一个预后模型,该模型将 DLBCL 队列分为两组,两组患者的生存和治疗反应差异显著。

总结

TIL,包括正常 B 细胞、T 细胞和 NK 细胞,与 DLBCL 的良好临床结局相关,能够定量评估 TIME 的流式细胞术可能具有额外的预后临床效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb7c/10859492/7ee24fcee9e6/fimmu-15-1335689-g001.jpg

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