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Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment
BACKGROUND: Programmed cell death protein 1 (PD-1) receptor has two ligands,programmed death-ligand 1 (PD-L1) and PD-L2. When compared with PD-L1, PD-L2 has not received much attention, and its role remains unclear. METHODS: The expression profiles of pdcd1lg2 (PD-L2-encoding gene) mRNA and PD-L2 pr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060638/ https://www.ncbi.nlm.nih.gov/pubmed/37006239 http://dx.doi.org/10.3389/fimmu.2023.1093716 |
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author | Lv, Jingfang Jiang, Zheng Yuan, Junhu Zhuang, Meng Guan, Xu Liu, Hengchang Yin, Yefeng Ma, Yiming Liu, Zheng Wang, Hongying Wang, Xishan |
author_facet | Lv, Jingfang Jiang, Zheng Yuan, Junhu Zhuang, Meng Guan, Xu Liu, Hengchang Yin, Yefeng Ma, Yiming Liu, Zheng Wang, Hongying Wang, Xishan |
author_sort | Lv, Jingfang |
collection | PubMed |
description | BACKGROUND: Programmed cell death protein 1 (PD-1) receptor has two ligands,programmed death-ligand 1 (PD-L1) and PD-L2. When compared with PD-L1, PD-L2 has not received much attention, and its role remains unclear. METHODS: The expression profiles of pdcd1lg2 (PD-L2-encoding gene) mRNA and PD-L2 protein were analyzed using TCGA, ICGC, and HPA databases. Kaplan-Meier and Cox regression analyses were used to assess the prognostic significance of PD-L2. We used GSEA, Spearman’s correlation analysis and PPI network to explore the biological functions of PD-L2. PD-L2-associated immune cell infiltration was evaluated using the ESTIMATE algorithm and TIMER 2.0. The expressions of PD-L2 in tumor-associated macrophages (TAMs) in human colon cancer samples, and in mice in an immunocompetent syngeneic setting were verified using scRNA-seq datasets, multiplex immunofluorescence staining, and flow cytometry. After fluorescence-activated cell sorting, flow cytometry and qRT-PCR and transwell and colony formation assays were used to evaluate the phenotype and functions of PD-L2(+)TAMs. Immune checkpoint inhibitors (ICIs) therapy prediction analysis was performed using TIDE and TISMO. Last, a series of targeted small-molecule drugs with promising therapeutic effects were predicted using the GSCA platform. RESULTS: PD-L2 was expressed in all the common human cancer types and deteriorated outcomes in multiple cancers. PPI network and Spearman’s correlation analysis revealed that PD-L2 was closely associated with many immune molecules. Moreover, both GSEA results of KEGG pathways and GSEA results for Reactome analysis indicated that PD-L2 expression played an important role in cancer immune response. Further analysis showed that PD-L2 expression was strongly associated with the infiltration of immune cells in tumor tissue in almost all cancer types, among which macrophages were the most positively associated with PD-L2 in colon cancer. According to the results mentioned above, we verified the expression of PD-L2 in TAMs in colon cancer and found that PD-L2(+)TAMs population was not static. Additionally, PD-L2(+)TAMs exhibited protumor M2 phenotype and increased the migration, invasion, and proliferative capacity of colon cancer cells. Furthermore, PD-L2 had a substantial predictive value for ICIs therapy cohorts. CONCLUSION: PD-L2 in the TME, especially expressed on TAMs, could be applied as a potential therapeutic target. |
format | Online Article Text |
id | pubmed-10060638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100606382023-03-31 Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment Lv, Jingfang Jiang, Zheng Yuan, Junhu Zhuang, Meng Guan, Xu Liu, Hengchang Yin, Yefeng Ma, Yiming Liu, Zheng Wang, Hongying Wang, Xishan Front Immunol Immunology BACKGROUND: Programmed cell death protein 1 (PD-1) receptor has two ligands,programmed death-ligand 1 (PD-L1) and PD-L2. When compared with PD-L1, PD-L2 has not received much attention, and its role remains unclear. METHODS: The expression profiles of pdcd1lg2 (PD-L2-encoding gene) mRNA and PD-L2 protein were analyzed using TCGA, ICGC, and HPA databases. Kaplan-Meier and Cox regression analyses were used to assess the prognostic significance of PD-L2. We used GSEA, Spearman’s correlation analysis and PPI network to explore the biological functions of PD-L2. PD-L2-associated immune cell infiltration was evaluated using the ESTIMATE algorithm and TIMER 2.0. The expressions of PD-L2 in tumor-associated macrophages (TAMs) in human colon cancer samples, and in mice in an immunocompetent syngeneic setting were verified using scRNA-seq datasets, multiplex immunofluorescence staining, and flow cytometry. After fluorescence-activated cell sorting, flow cytometry and qRT-PCR and transwell and colony formation assays were used to evaluate the phenotype and functions of PD-L2(+)TAMs. Immune checkpoint inhibitors (ICIs) therapy prediction analysis was performed using TIDE and TISMO. Last, a series of targeted small-molecule drugs with promising therapeutic effects were predicted using the GSCA platform. RESULTS: PD-L2 was expressed in all the common human cancer types and deteriorated outcomes in multiple cancers. PPI network and Spearman’s correlation analysis revealed that PD-L2 was closely associated with many immune molecules. Moreover, both GSEA results of KEGG pathways and GSEA results for Reactome analysis indicated that PD-L2 expression played an important role in cancer immune response. Further analysis showed that PD-L2 expression was strongly associated with the infiltration of immune cells in tumor tissue in almost all cancer types, among which macrophages were the most positively associated with PD-L2 in colon cancer. According to the results mentioned above, we verified the expression of PD-L2 in TAMs in colon cancer and found that PD-L2(+)TAMs population was not static. Additionally, PD-L2(+)TAMs exhibited protumor M2 phenotype and increased the migration, invasion, and proliferative capacity of colon cancer cells. Furthermore, PD-L2 had a substantial predictive value for ICIs therapy cohorts. CONCLUSION: PD-L2 in the TME, especially expressed on TAMs, could be applied as a potential therapeutic target. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060638/ /pubmed/37006239 http://dx.doi.org/10.3389/fimmu.2023.1093716 Text en Copyright © 2023 Lv, Jiang, Yuan, Zhuang, Guan, Liu, Yin, Ma, Liu, Wang and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Lv, Jingfang Jiang, Zheng Yuan, Junhu Zhuang, Meng Guan, Xu Liu, Hengchang Yin, Yefeng Ma, Yiming Liu, Zheng Wang, Hongying Wang, Xishan Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title | Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title_full | Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title_fullStr | Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title_full_unstemmed | Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title_short | Pan-cancer analysis identifies PD-L2 as a tumor promotor in the tumor microenvironment |
title_sort | pan-cancer analysis identifies pd-l2 as a tumor promotor in the tumor microenvironment |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060638/ https://www.ncbi.nlm.nih.gov/pubmed/37006239 http://dx.doi.org/10.3389/fimmu.2023.1093716 |
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