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Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer
BACKGROUND: For small cell lung cancer (SCLC) therapy, immunotherapy might have unique advantages to some extent. Galectin-9 (Gal-9) plays an important role in antitumor immunity, while little is known of its function in SCLC. MATERIALS AND METHODS: By mean of immunohistochemistry (IHC), we tested t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577067/ https://www.ncbi.nlm.nih.gov/pubmed/33082168 http://dx.doi.org/10.1136/jitc-2020-001391 |
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author | Chen, Peixin Zhang, Liping Zhang, Wei Sun, Chenglong Wu, Chunyan He, Yayi Zhou, Caicun |
author_facet | Chen, Peixin Zhang, Liping Zhang, Wei Sun, Chenglong Wu, Chunyan He, Yayi Zhou, Caicun |
author_sort | Chen, Peixin |
collection | PubMed |
description | BACKGROUND: For small cell lung cancer (SCLC) therapy, immunotherapy might have unique advantages to some extent. Galectin-9 (Gal-9) plays an important role in antitumor immunity, while little is known of its function in SCLC. MATERIALS AND METHODS: By mean of immunohistochemistry (IHC), we tested the expression level of Gal-9 and other immune markers on both tumor cells and tumor-infiltrating lymphocytes (TILs) in 102 surgical-resected early stage SCLC clinical samples. On the basis of statistical analysis and machine learning results, the Gal-9-based immune risk score model was constructed and its predictive performance was evaluated. Then, we thoroughly explored the effects of Gal-9 and immune risk score on SCLC immune microenvironment and immune infiltration in different cohorts and platforms. RESULTS: In the SCLC cohort for IHC, the expression level of Gal-9 on TILs was statistically correlated with the levels of program death-1 (p=0.001), program death-ligand 1 (PD-L1) (p<0.001), CD3 (p<0.001), CD4 (p<0.001), CD8 (p<0.001), and FOXP3 (p=0.047). High Gal-9 protein expression on TILs indicated better recurrence-free survival (30.4 months, 95% CI: 23.7–37.1 vs 39.4 months, 95% CI: 31.6–47.3, p=0.009). The immune risk score model which consisted of Gal-9 on TILs, CD4, and PD-L1 on TILs was established and validated so as to differentiate high-risk or low-risk patients with SCLC. The prognostic predictive performance of immune risk score model was better than single immune biomarker (area under the curve 0.671 vs 0.621–0.644). High Gal-9-related enrichment pathways in SCLC were enriched in immune system diseases and rheumatic disease. Furthermore, we found that patients with SCLC with low immune risk score presented higher fractions of activated memory CD4 T cells than patients with high immune risk score (p=0.048). CONCLUSIONS: Gal-9 is markedly related to tumor-immune microenvironment and immune infiltration in SCLC. This study emphasized the predictive value and promising clinical applications of Gal-9 in stage I–III SCLC. |
format | Online Article Text |
id | pubmed-7577067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75770672020-10-21 Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer Chen, Peixin Zhang, Liping Zhang, Wei Sun, Chenglong Wu, Chunyan He, Yayi Zhou, Caicun J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: For small cell lung cancer (SCLC) therapy, immunotherapy might have unique advantages to some extent. Galectin-9 (Gal-9) plays an important role in antitumor immunity, while little is known of its function in SCLC. MATERIALS AND METHODS: By mean of immunohistochemistry (IHC), we tested the expression level of Gal-9 and other immune markers on both tumor cells and tumor-infiltrating lymphocytes (TILs) in 102 surgical-resected early stage SCLC clinical samples. On the basis of statistical analysis and machine learning results, the Gal-9-based immune risk score model was constructed and its predictive performance was evaluated. Then, we thoroughly explored the effects of Gal-9 and immune risk score on SCLC immune microenvironment and immune infiltration in different cohorts and platforms. RESULTS: In the SCLC cohort for IHC, the expression level of Gal-9 on TILs was statistically correlated with the levels of program death-1 (p=0.001), program death-ligand 1 (PD-L1) (p<0.001), CD3 (p<0.001), CD4 (p<0.001), CD8 (p<0.001), and FOXP3 (p=0.047). High Gal-9 protein expression on TILs indicated better recurrence-free survival (30.4 months, 95% CI: 23.7–37.1 vs 39.4 months, 95% CI: 31.6–47.3, p=0.009). The immune risk score model which consisted of Gal-9 on TILs, CD4, and PD-L1 on TILs was established and validated so as to differentiate high-risk or low-risk patients with SCLC. The prognostic predictive performance of immune risk score model was better than single immune biomarker (area under the curve 0.671 vs 0.621–0.644). High Gal-9-related enrichment pathways in SCLC were enriched in immune system diseases and rheumatic disease. Furthermore, we found that patients with SCLC with low immune risk score presented higher fractions of activated memory CD4 T cells than patients with high immune risk score (p=0.048). CONCLUSIONS: Gal-9 is markedly related to tumor-immune microenvironment and immune infiltration in SCLC. This study emphasized the predictive value and promising clinical applications of Gal-9 in stage I–III SCLC. BMJ Publishing Group 2020-10-20 /pmc/articles/PMC7577067/ /pubmed/33082168 http://dx.doi.org/10.1136/jitc-2020-001391 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Immunotherapy Biomarkers Chen, Peixin Zhang, Liping Zhang, Wei Sun, Chenglong Wu, Chunyan He, Yayi Zhou, Caicun Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title | Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title_full | Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title_fullStr | Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title_full_unstemmed | Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title_short | Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer |
title_sort | galectin-9-based immune risk score model helps to predict relapse in stage i–iii small cell lung cancer |
topic | Immunotherapy Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577067/ https://www.ncbi.nlm.nih.gov/pubmed/33082168 http://dx.doi.org/10.1136/jitc-2020-001391 |
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