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pmid:36065454

Characterization of the Tumor Microenvironment in Osteosarcoma Identifies Prognostic- and Immunotherapy-Relevant Gene Signatures.

Jianye Tan · Xuhui Feng · Hangxing Wu · Bingsheng Yang · Meiling Shi · Chao Xie · Zexin Su · Lin Li · Mengliang Luo · Zhijie Zuo · Shuang Zhu · Jiancheng Yang · Lijun Lin

Journal of immunology research · 2022 doi:10.1155/2022/6568278

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Characterization of the Tumor Microenvironment in Osteosarcoma Identifies Prognostic- and Immunotherapy-Relevant Gene Signatures.
doi
10.1155/2022/6568278
pmid
36065454
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[0]
Jianye Tan
[1]
Xuhui Feng
[2]
Hangxing Wu
[3]
Bingsheng Yang
[4]
Meiling Shi
[5]
Chao Xie
[6]
Zexin Su
[7]
Lin Li
[8]
Mengliang Luo
[9]
Zhijie Zuo
[10]
Shuang Zhu
[11]
Jiancheng Yang
[12]
Lijun Lin
journal
Journal of immunology research
year
2022
abstract
The osteosarcoma (OS) microenvironment is composed of tumor cells, immune cells, and stromal tissue and is emerging as a pivotal player in OS development and progression. Thus, microenvironment-targeted strategies are urgently needed to improve OS treatment outcomes. Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes. Our analysis revealed that TMEscore high correlates with longer survival in OS patients, elevated immune cell infiltration, increased immune checkpoints, and increased sensitivity to chemotherapy. TMEscore low strongly correlated with immune exclusion. These observations were externally validated using a GEO dataset (GSE21257) from 53 OS patients. Our laboratory data also proved our findings. This finding enhances our understanding of the immunological landscape in OS and may uncover novel targeted therapeutic strategies.
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Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes.
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Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes.
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sections[34] "Data Availability" paragraph 2
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All datasets are available from TCGA database (https://portal.gdc.cancer.gov/projects/TARGET-OS) and GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE21257).
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TMEscore high correlates with longer survival in OS patients, elevated immune cell infiltration, increased immune checkpoints, and increased sensitivity to chemotherapy.
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Our analysis revealed that TMEscore high correlates with longer survival in OS patients, elevated immune cell infiltration, increased immune checkpoints, and increased sensitivity to chemotherapy.
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TMEscore high correlates with longer survival in OS patients, elevated immune cell infiltration, increased immune checkpoints, and increased sensitivity to chemotherapy.
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title
Genome-wide gene expression profiling on pre-chemotherapy biopsies of osteosarcoma patients who developed metastases within 5yrs (n=34) and patients who did not develop metastases within 5yrs (n=19)
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Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes.
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at 1 × 107 143B cells/mL. After 50 days, all mice were euthanized via CO2 inhalation. Mouse experim
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Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes.
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Complete file
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Thus, microenvironment-targeted strategies are urgently needed to improve OS treatment outcomes. Using principal component analysis (PCA), we systematically examined the tumor microenvironment (TME) and immune cell infiltration of 88 OS cases and constructed a TME scoring system based on the TMEscore high and TMEscore low phenotypes. Our analysis revealed that TMEscore high correlates with longer survival in OS patients, elevated immune cell infiltration, increased immune checkpoints, and increased sensitivity to chemotherapy. TMEscore low strongly correlated with immune exclusion. These observations were externally validated using a GEO dataset (GSE21257) from 53 OS patients. Our laboratory data also proved our findings. 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After 50 days, all mice were euthanized via CO2 inhalation. Mouse experim", "s Nude mice (male, 4 weeks old) were used as in vivo tumor models. 100 μL of cells transfected wi", "cule to determine the expression of CD4+ TMA in vivo, was detected by RT-PCR in 36 OS samples fro", "EVI2B on OS cells, we performed in vitro and in vivo. Transwell assays revealed that OS cell migr"], "order_basis": "paper_text_order:1986", "id": "assay:2"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["sed as in vivo tumor models. 100 μL of cells transfected with NC or the overexpression of EVI2B (OE-E"], "order_basis": "paper_text_order:2024", "id": "assay:3"}, {"role": "data_generation", "definition_id": "flow_cytometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ignificantly suppressed (Figure 9(g)), while flow cytometry showed that OE-EVI2B cell apoptosis levels w", "ects of EVI2B on apoptosis were evaluated by flow cytometry. (i) Images of the subcutaneous tumor."], "order_basis": "paper_text_order:4811", "id": "assay:4"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ile flow cytometry showed that OE-EVI2B cell apoptosis levels were increased (Figure 9(h)). The ove", "cell proliferation. (h) Effects of EVI2B on apoptosis were evaluated by flow cytometry. 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