Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Peixin, Zhang, Liping, Zhang, Wei, Sun, Chenglong, Wu, Chunyan, He, Yayi, Zhou, Caicun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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
_version_ 1783598137073467392
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
work_keys_str_mv AT chenpeixin galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT zhangliping galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT zhangwei galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT sunchenglong galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT wuchunyan galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT heyayi galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer
AT zhoucaicun galectin9basedimmuneriskscoremodelhelpstopredictrelapseinstageiiiismallcelllungcancer