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pmid:39735532

Development and validation of a novel immune-related prognostic model and the potential metastatic mechanism in synovial sarcoma.

Yufeng Huang · Ming Gong · Jiaming Lin · Qinglian Tang · Hongmin Chen · Jinxin Hu · Chuangzhong Deng · Anfei Huang · Huixiong Feng · Guohui Song · Huaiyuan Xu · Jinchang Lu · Xiaojun Zhu · Jin Wang

Frontiers in immunology · 2024 doi:10.3389/fimmu.2024.1448464

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Development and validation of a novel immune-related prognostic model and the potential metastatic mechanism in synovial sarcoma.
doi
10.3389/fimmu.2024.1448464
pmid
39735532
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[0]
Yufeng Huang
[1]
Ming Gong
[2]
Jiaming Lin
[3]
Qinglian Tang
[4]
Hongmin Chen
[5]
Jinxin Hu
[6]
Chuangzhong Deng
[7]
Anfei Huang
[8]
Huixiong Feng
[9]
Guohui Song
[10]
Huaiyuan Xu
[11]
Jinchang Lu
[12]
Xiaojun Zhu
[13]
Jin Wang
journal
Frontiers in immunology
year
2024
abstract
Background: Several clinical trials have shown that immunotherapy plays a pivotal role in the treatment of patients with metastatic synovial sarcoma. Immune-related genes (IRGs) have been demonstrated to predict the immunotherapy response in certain malignant tumours. However, the clinical significance of IRGs in patients with synovial sarcoma (SS) is still unclear. Methods: We first combined the immune-related ImmPort gene set to search for SS related to metastatic and differentially expressed immune-related genes (DEIRGs) in the GSE40021 dataset from the GEO database. The soft tissue sarcoma database in TCGA was used for univariate Cox regression analyses to identify DEIRGs that were related to overall survival and to build an immune-related prognostic assessment model. Results: The study screened a total of six DEIRGs that were closely related to prognosis in metastatic SS. Further analysis showed that there was no significant difference in the expression of several immune checkpoints between the two groups in the GSE40021 data. Moreover, the GREM2 and CTSS genes were significantly expressed in metastatic patients. Further verification of clinical SS tissues from our centre by RT-qPCR analysis demonstrated reduced infiltration of activated NK cells and macrophages but increased M2-type macrophages in metastatic patients. Together, our study successfully constructed an immune-related prognostic assessment model and probably explains the poor efficacy of PD-1 inhibitors for SS patients. Conclusion: The research deepens our understanding of the tumor immune microenvironment and proposes a new immune mechanism for metastatic SS. Early intervention and reversal of immunosuppressive microenvironmental changes are expected to delay metastasis and improve survival.
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The soft tissue sarcoma database in TCGA was used for univariate Cox regression analyses to identify DEIRGs that were related to overall survival and to build an immune-related prognostic assessment model.
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The study screened six DEIRGs closely related to prognosis in metastatic SS and constructed an immune-related prognostic assessment model.
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The study screened a total of six DEIRGs that were closely related to prognosis in metastatic SS.
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Expression data from 58 Synovial Sarcomas
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on of clinical SS tissues from our centre by RT-qPCR analysis demonstrated reduced infiltration o
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Immune-related genes (IRGs) have been demonstrated to predict the immunotherapy response in certain malignant tumours. However, the clinical significance of IRGs in patients with synovial sarcoma (SS) is still unclear.\nMethods: We first combined the immune-related ImmPort gene set to search for SS related to metastatic and differentially expressed immune-related genes (DEIRGs) in the GSE40021 dataset from the GEO database. The soft tissue sarcoma database in TCGA was used for univariate Cox regression analyses to identify DEIRGs that were related to overall survival and to build an immune-related prognostic assessment model.\nResults: The study screened a total of six DEIRGs that were closely related to prognosis in metastatic SS. Further analysis showed that there was no significant difference in the expression of several immune checkpoints between the two groups in the GSE40021 data. Moreover, the GREM2 and CTSS genes were significantly expressed in metastatic patients. 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