Cargando…
Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer
BACKGROUND: Tertiary lymphoid structure (TLS) is an organized infiltration of immune cells, showing features of germinal center (GC) commonly seen in secondary lymphoid organs. However, its relationship with tumor-draining lymph nodes (TDLNs) has not been studied and we hypothesized that TDLN may in...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124324/ https://www.ncbi.nlm.nih.gov/pubmed/37072348 http://dx.doi.org/10.1136/jitc-2022-005539 |
_version_ | 1785029816636932096 |
---|---|
author | He, Miao He, Qihua Cai, Xiuyu Liu, Jun Deng, Hongshen Li, Feng Zhong, Ran Lu, Yi Peng, Haoxin Wu, Xiangrong Chen, Zisheng Lao, Shen Li, Caichen Li, Jianfu He, Jianxing Liang, Wenhua |
author_facet | He, Miao He, Qihua Cai, Xiuyu Liu, Jun Deng, Hongshen Li, Feng Zhong, Ran Lu, Yi Peng, Haoxin Wu, Xiangrong Chen, Zisheng Lao, Shen Li, Caichen Li, Jianfu He, Jianxing Liang, Wenhua |
author_sort | He, Miao |
collection | PubMed |
description | BACKGROUND: Tertiary lymphoid structure (TLS) is an organized infiltration of immune cells, showing features of germinal center (GC) commonly seen in secondary lymphoid organs. However, its relationship with tumor-draining lymph nodes (TDLNs) has not been studied and we hypothesized that TDLN may influence maturation of intratumoral TLS in non-small cell lung cancer (NSCLC). METHODS: Tissue slides of 616 patients that had undergone surgeries were examined. Cox proportional hazard regression model was used to assess risk factors of patients’ survival, and logistic regression model was used for their relationship with TLS. Single-cell RNA-sequencing (scRNA-seq) was employed to explore transcriptomic features of TDLNs. Immunohistochemistry, multiplex immunofluorescence and flow cytometry were performed to analyze cellular composition. Cellular components of NSCLC samples from The Cancer Genome Atlas database were inferred with Microenvironment Cell Populations-counter (MCP-counter) method. Murine NSCLC models were used to dissect underlying mechanisms for relationship between TDLN and TLS maturation. RESULTS: While GC(+) TLS was associated with better prognosis, GC(−) TLS was not. TDLN metastasis reduced the prognostic relevance of TLS, and was associated with less GC formation. Primary tumor sites showed reduced B cell infiltration in TDLN-positive patients, and scRNA-seq revealed diminished memory B cell formation in tumor-invaded TDLNs, together with an emphasis on weakened interferon (IFN)-γ response. Murine NSCLC models revealed that IFN-γ signaling is involved in memory B cell differentiation in TDLNs and GC formation in primary tumors. CONCLUSIONS: Our research emphasizes the influence of TDLN on intratumoral TLS maturation and suggests a role of memory B cells and IFN-γ signaling in this communication. |
format | Online Article Text |
id | pubmed-10124324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101243242023-04-25 Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer He, Miao He, Qihua Cai, Xiuyu Liu, Jun Deng, Hongshen Li, Feng Zhong, Ran Lu, Yi Peng, Haoxin Wu, Xiangrong Chen, Zisheng Lao, Shen Li, Caichen Li, Jianfu He, Jianxing Liang, Wenhua J Immunother Cancer Basic Tumor Immunology BACKGROUND: Tertiary lymphoid structure (TLS) is an organized infiltration of immune cells, showing features of germinal center (GC) commonly seen in secondary lymphoid organs. However, its relationship with tumor-draining lymph nodes (TDLNs) has not been studied and we hypothesized that TDLN may influence maturation of intratumoral TLS in non-small cell lung cancer (NSCLC). METHODS: Tissue slides of 616 patients that had undergone surgeries were examined. Cox proportional hazard regression model was used to assess risk factors of patients’ survival, and logistic regression model was used for their relationship with TLS. Single-cell RNA-sequencing (scRNA-seq) was employed to explore transcriptomic features of TDLNs. Immunohistochemistry, multiplex immunofluorescence and flow cytometry were performed to analyze cellular composition. Cellular components of NSCLC samples from The Cancer Genome Atlas database were inferred with Microenvironment Cell Populations-counter (MCP-counter) method. Murine NSCLC models were used to dissect underlying mechanisms for relationship between TDLN and TLS maturation. RESULTS: While GC(+) TLS was associated with better prognosis, GC(−) TLS was not. TDLN metastasis reduced the prognostic relevance of TLS, and was associated with less GC formation. Primary tumor sites showed reduced B cell infiltration in TDLN-positive patients, and scRNA-seq revealed diminished memory B cell formation in tumor-invaded TDLNs, together with an emphasis on weakened interferon (IFN)-γ response. Murine NSCLC models revealed that IFN-γ signaling is involved in memory B cell differentiation in TDLNs and GC formation in primary tumors. CONCLUSIONS: Our research emphasizes the influence of TDLN on intratumoral TLS maturation and suggests a role of memory B cells and IFN-γ signaling in this communication. BMJ Publishing Group 2023-04-17 /pmc/articles/PMC10124324/ /pubmed/37072348 http://dx.doi.org/10.1136/jitc-2022-005539 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Basic Tumor Immunology He, Miao He, Qihua Cai, Xiuyu Liu, Jun Deng, Hongshen Li, Feng Zhong, Ran Lu, Yi Peng, Haoxin Wu, Xiangrong Chen, Zisheng Lao, Shen Li, Caichen Li, Jianfu He, Jianxing Liang, Wenhua Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title | Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title_full | Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title_fullStr | Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title_full_unstemmed | Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title_short | Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer |
title_sort | intratumoral tertiary lymphoid structure (tls) maturation is influenced by draining lymph nodes of lung cancer |
topic | Basic Tumor Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124324/ https://www.ncbi.nlm.nih.gov/pubmed/37072348 http://dx.doi.org/10.1136/jitc-2022-005539 |
work_keys_str_mv | AT hemiao intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT heqihua intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT caixiuyu intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT liujun intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT denghongshen intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT lifeng intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT zhongran intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT luyi intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT penghaoxin intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT wuxiangrong intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT chenzisheng intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT laoshen intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT licaichen intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT lijianfu intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT hejianxing intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer AT liangwenhua intratumoraltertiarylymphoidstructuretlsmaturationisinfluencedbydraininglymphnodesoflungcancer |