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

IntroductionOur 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 c...

Full description

Bibliographic Details
Main Authors: Tiantian Yu, Zijun Y. Xu-Monette, Anand Lagoo, Wen Shuai, Bangchen Wang, Jadee Neff, Luis F. Carrillo, Eric D. Carlsen, Sergio Pina-Oviedo, Ken H. Young
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1335689/full
_version_ 1797341214812405760
author Tiantian Yu
Zijun Y. Xu-Monette
Zijun Y. Xu-Monette
Anand Lagoo
Wen Shuai
Bangchen Wang
Jadee Neff
Luis F. Carrillo
Eric D. Carlsen
Eric D. Carlsen
Sergio Pina-Oviedo
Ken H. Young
Ken H. Young
author_facet Tiantian Yu
Zijun Y. Xu-Monette
Zijun Y. Xu-Monette
Anand Lagoo
Wen Shuai
Bangchen Wang
Jadee Neff
Luis F. Carrillo
Eric D. Carlsen
Eric D. Carlsen
Sergio Pina-Oviedo
Ken H. Young
Ken H. Young
author_sort Tiantian Yu
collection DOAJ
description IntroductionOur 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.MethodsWe 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.ResultsWe 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.SummaryTILs, 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.
first_indexed 2024-03-08T10:14:37Z
format Article
id doaj.art-68d6d3bcfc1a4a6291308b1158b27404
institution Directory Open Access Journal
issn 1664-3224
language English
last_indexed 2024-03-08T10:14:37Z
publishDate 2024-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Immunology
spelling doaj.art-68d6d3bcfc1a4a6291308b1158b274042024-01-29T04:28:18ZengFrontiers Media S.A.Frontiers in Immunology1664-32242024-01-011510.3389/fimmu.2024.13356891335689Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphomaTiantian Yu0Zijun Y. Xu-Monette1Zijun Y. Xu-Monette2Anand Lagoo3Wen Shuai4Bangchen Wang5Jadee Neff6Luis F. Carrillo7Eric D. Carlsen8Eric D. Carlsen9Sergio Pina-Oviedo10Ken H. Young11Ken H. Young12Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesDuke University Cancer Institute, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesDepartment of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesDuke University Cancer Institute, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesHematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, United StatesDuke University Cancer Institute, Durham, NC, United StatesIntroductionOur 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.MethodsWe 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.ResultsWe 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.SummaryTILs, 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.https://www.frontiersin.org/articles/10.3389/fimmu.2024.1335689/fulltumor-infiltrating lymphocytesnormal B cellsTILDLBCLprognosismicroenvironment
spellingShingle Tiantian Yu
Zijun Y. Xu-Monette
Zijun Y. Xu-Monette
Anand Lagoo
Wen Shuai
Bangchen Wang
Jadee Neff
Luis F. Carrillo
Eric D. Carlsen
Eric D. Carlsen
Sergio Pina-Oviedo
Ken H. Young
Ken H. Young
Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
Frontiers in Immunology
tumor-infiltrating lymphocytes
normal B cells
TIL
DLBCL
prognosis
microenvironment
title Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
title_full Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
title_fullStr Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
title_full_unstemmed Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
title_short Flow cytometry quantification of tumor-infiltrating lymphocytes to predict the survival of patients with diffuse large B-cell lymphoma
title_sort flow cytometry quantification of tumor infiltrating lymphocytes to predict the survival of patients with diffuse large b cell lymphoma
topic tumor-infiltrating lymphocytes
normal B cells
TIL
DLBCL
prognosis
microenvironment
url https://www.frontiersin.org/articles/10.3389/fimmu.2024.1335689/full
work_keys_str_mv AT tiantianyu flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT zijunyxumonette flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT zijunyxumonette flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT anandlagoo flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT wenshuai flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT bangchenwang flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT jadeeneff flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT luisfcarrillo flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT ericdcarlsen flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT ericdcarlsen flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT sergiopinaoviedo flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT kenhyoung flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma
AT kenhyoung flowcytometryquantificationoftumorinfiltratinglymphocytestopredictthesurvivalofpatientswithdiffuselargebcelllymphoma