Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis

Abstract 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 progn...

Full description

Bibliographic Details
Main Authors: Zihang Zeng, Jiali Li, Jianguo Zhang, Yangyi Li, Xingyu Liu, Jiarui Chen, Zhengrong Huang, Qiuji Wu, Yan Gong, Conghua Xie
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-021-03002-1
_version_ 1819128772921655296
author Zihang Zeng
Jiali Li
Jianguo Zhang
Yangyi Li
Xingyu Liu
Jiarui Chen
Zhengrong Huang
Qiuji Wu
Yan Gong
Conghua Xie
author_facet Zihang Zeng
Jiali Li
Jianguo Zhang
Yangyi Li
Xingyu Liu
Jiarui Chen
Zhengrong Huang
Qiuji Wu
Yan Gong
Conghua Xie
author_sort Zihang Zeng
collection DOAJ
description Abstract 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.
first_indexed 2024-12-22T08:33:08Z
format Article
id doaj.art-8dd8264e59b9455f9d107ac146bd359e
institution Directory Open Access Journal
issn 1479-5876
language English
last_indexed 2024-12-22T08:33:08Z
publishDate 2021-08-01
publisher BMC
record_format Article
series Journal of Translational Medicine
spelling doaj.art-8dd8264e59b9455f9d107ac146bd359e2022-12-21T18:32:26ZengBMCJournal of Translational Medicine1479-58762021-08-0119111810.1186/s12967-021-03002-1Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysisZihang Zeng0Jiali Li1Jianguo Zhang2Yangyi Li3Xingyu Liu4Jiarui Chen5Zhengrong Huang6Qiuji Wu7Yan Gong8Conghua Xie9Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Biological Repositories, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityDepartment of Biological Repositories, Zhongnan Hospital of Wuhan UniversityDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan UniversityAbstract 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.https://doi.org/10.1186/s12967-021-03002-1Tumor microenvironmentMulti-task learningScoring systemPrognosisImmunotherapy
spellingShingle Zihang Zeng
Jiali Li
Jianguo Zhang
Yangyi Li
Xingyu Liu
Jiarui Chen
Zhengrong Huang
Qiuji Wu
Yan Gong
Conghua Xie
Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis
Journal of Translational Medicine
Tumor microenvironment
Multi-task learning
Scoring system
Prognosis
Immunotherapy
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 Tumor microenvironment
Multi-task learning
Scoring system
Prognosis
Immunotherapy
url https://doi.org/10.1186/s12967-021-03002-1
work_keys_str_mv AT zihangzeng immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT jialili immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT jianguozhang immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT yangyili immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT xingyuliu immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT jiaruichen immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT zhengronghuang immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT qiujiwu immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT yangong immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis
AT conghuaxie immuneandstromalscoringsystemassociatedwithtumormicroenvironmentandprognosisagenebasedmulticanceranalysis