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Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis
BACKGROUND: Tumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME. However, there is still a lack of single index to reflect both immune and stromal status associated with prognosis and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336334/ https://www.ncbi.nlm.nih.gov/pubmed/34344410 http://dx.doi.org/10.1186/s12967-021-03002-1 |
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author | Zeng, Zihang Li, Jiali Zhang, Jianguo Li, Yangyi Liu, Xingyu Chen, Jiarui Huang, Zhengrong Wu, Qiuji Gong, Yan Xie, Conghua |
author_facet | Zeng, Zihang Li, Jiali Zhang, Jianguo Li, Yangyi Liu, Xingyu Chen, Jiarui Huang, Zhengrong Wu, Qiuji Gong, Yan Xie, Conghua |
author_sort | Zeng, Zihang |
collection | PubMed |
description | BACKGROUND: Tumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME. However, there is still a lack of single index to reflect both immune and stromal status associated with prognosis and immunotherapy responses. METHODS: A novel immune and stromal scoring system named ISTMEscore was developed. A total of 15 datasets were used to train and validate this system, containing 2965 samples from lung adenocarcinoma, skin cutaneous melanoma and head and neck squamous cell carcinoma. RESULTS: The patients with high immune and low stromal scores (HL) were associated with low ratio of T cell co-inhibitory/stimulatory molecules and low levels of angiogenesis markers, while the patients with low immune and high stromal scores (LH) had the opposite characteristics. The HL patients had immune-centered networks, while the patients with low immune and low stromal scores (LL) had desert-like networks. Moreover, copy number alteration burden was decreased in the HL patients. For the clinical characteristics, our TME classification was an independent prognostic factor. In the 5 cohorts with immunotherapy, the LH patients were linked to the lowest response rate. CONCLUSIONS: ISTMEscore system could reflect the TME status and predict the prognosis. Compared to previous TME scores, our ISTMEscore was superior in the prediction of prognosis and immunotherapy response. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03002-1. |
format | Online Article Text |
id | pubmed-8336334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83363342021-08-04 Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis Zeng, Zihang Li, Jiali Zhang, Jianguo Li, Yangyi Liu, Xingyu Chen, Jiarui Huang, Zhengrong Wu, Qiuji Gong, Yan Xie, Conghua J Transl Med Research BACKGROUND: Tumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME. However, there is still a lack of single index to reflect both immune and stromal status associated with prognosis and immunotherapy responses. METHODS: A novel immune and stromal scoring system named ISTMEscore was developed. A total of 15 datasets were used to train and validate this system, containing 2965 samples from lung adenocarcinoma, skin cutaneous melanoma and head and neck squamous cell carcinoma. RESULTS: The patients with high immune and low stromal scores (HL) were associated with low ratio of T cell co-inhibitory/stimulatory molecules and low levels of angiogenesis markers, while the patients with low immune and high stromal scores (LH) had the opposite characteristics. The HL patients had immune-centered networks, while the patients with low immune and low stromal scores (LL) had desert-like networks. Moreover, copy number alteration burden was decreased in the HL patients. For the clinical characteristics, our TME classification was an independent prognostic factor. In the 5 cohorts with immunotherapy, the LH patients were linked to the lowest response rate. CONCLUSIONS: ISTMEscore system could reflect the TME status and predict the prognosis. Compared to previous TME scores, our ISTMEscore was superior in the prediction of prognosis and immunotherapy response. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03002-1. BioMed Central 2021-08-03 /pmc/articles/PMC8336334/ /pubmed/34344410 http://dx.doi.org/10.1186/s12967-021-03002-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zeng, Zihang Li, Jiali Zhang, Jianguo Li, Yangyi Liu, Xingyu Chen, Jiarui Huang, Zhengrong Wu, Qiuji Gong, Yan Xie, Conghua Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title | Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title_full | Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title_fullStr | Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title_full_unstemmed | Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title_short | Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
title_sort | immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336334/ https://www.ncbi.nlm.nih.gov/pubmed/34344410 http://dx.doi.org/10.1186/s12967-021-03002-1 |
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