Expression of immune-related genes as prognostic biomarkers for the assessment of osteosarcoma clinical outcomes

Guo, Junjie; Li, Xiaoyang; Shen, Shen; Wu, Xuejian

doi:10.1038/s41598-021-03677-y

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…PLD3 can regulate inflammatory cytokine response through the degradation of nucleic acid. PLD3 has also been shown to be a prognostic protective gene for osteosarcoma, but this is the first time we have confirmed that it is also a B-cell marker gene for osteosarcoma (12)(13)(14). SNX2 belongs to the sorting nexin family and plays a role in the transport of intracellular cargo proteins.…”

Section: Discussionmentioning

confidence: 77%

Identification of B cell marker genes based on single-cell sequencing to establish a prognostic model and identify immune infiltration in osteosarcoma

Zhang

Duan

et al. 2022

Front. Immunol.

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BackgroundTumor-infiltrating B cells play a crucial role in the promotion or inhibition of tumor development. However, the role of B cells in osteosarcoma remains largely unknown. The aim of this study was to investigate the effect of B cells on the prognosis and immunity infiltration of osteosarcoma.MethodsMarker genes of B cells were identified based on the single-cell sequencing results of osteosarcoma in the GEO database. The prognostic model was established by the TCGA database and verified by the GEO data. The divergence in immune infiltration between the low-risk and high-risk groups was then compared according to the established prognostic model. Finally, the differential genes in the low-risk and high-risk groups were enriched and analyzed.ResultsA total of 261 B cell marker genes was obtained by single-cell sequencing and a prognostic model of 4 B cell marker genes was established based on TCGA data. The model was found to have a good prediction performance in the TCGA and GEO data. A remarkable difference in immune infiltration between the low-risk and high-risk groups was also observed. The obtained results were verified by enrichment analysis.ConclusionIn summary, a prognostic model with good predictive performance was established that revealed the indispensable role of B cells in the development of osteosarcoma. This model also provides a predictive index and a novel therapeutic target for immunotherapy for clinical patients.

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Section: Discussionmentioning

confidence: 77%

Identification of B cell marker genes based on single-cell sequencing to establish a prognostic model and identify immune infiltration in osteosarcoma

Zhang

Duan

et al. 2022

Front. Immunol.

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“…Gene expression can promote the migration and infiltration of specific immune cells, such as T cells or macrophages, into tumor tissue, often closely linked with patient prognosis. In osteosarcoma, analysis of immune-related gene expression identified key genes associated with disease progression and prognosis [30]. Similarly, in prostate cancer, gene expression significantly correlated with immune cell infiltration levels, particularly T-cells γδ, with important implications for understanding disease progression and personalized treatment strategies [31].…”

Section: Discussionmentioning

confidence: 99%

Thyroid cancer prognostic biomarker ARL4A and its relationship with immune infiltration

Han

2024

Int J Clin Exp Pathol

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Background: Thyroid cancer (THCA) is a prevalent form of cancer with high rates of morbidity and mortality. The small GTPase ADP-ribosylation factor-like 4A (ARL4A) is integral to various cellular processes, including cytoskeletal restructuring, vesicular transport, cell migration, and neuronal development. However, the role of ARL4A as a clinical predictor, particularly its relation to immune cell infiltration in THCA, remains unclear. Methods: A combination of experimental studies and analysis of online databases was employed to investigate ARL4A expression in THCA. Clinical and pathological data from THCA patients were compiled for a comprehensive subgroup analysis. The Kaplan-Meier and Cox regression methods were utilized to evaluate the prognostic significance of ARL4A in THCA patients. Finally, the "Cancer Genome Atlas" was analyzed to explore the correlation between immune cell infiltration, ARL4A expression, and their joint impact on prognosis. Results: ARL4A exhibited low expression in THCA. An elevated ARL4A was associated with poor prognosis. Moreover, the expression of ARL4A was correlated with the age, gender, and pathological stage of THCA patients. Finally, ARL4A expression was found to be negatively correlated with immune cell infiltration and influenced the prognosis of patients through changes in the immune environment. Conclusion: ARL4A may serve as a potential biomarker for the diagnosis and treatment of THCA, impacting the prognosis of patients through the modulation of the immune microenvironment.

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“…Filamin-C belongs to a family of three actin-binding proteins that stabilize actin networks and connect them to the cell membrane, with its silencing associated with cancer-increased invasiveness through the lamellipodia formation [ 35 ]. Pld3 represents an immune-related gene, with its low expression leading to a lower survival in patients with osteosarcoma [ 39 ]. This exonuclease (also named phospholipase D3) was recently found to be transcriptionally regulated by p53, with its higher expression representing a good prognostic factor in patients with pancreatic cancer [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Proteomes of Residual Tumors in Curcumin-Treated Rats Reveal Changes in Microenvironment/Malignant Cell Crosstalk in a Highly Invasive Model of Mesothelioma

Pouliquen

Malloci

Boissard

et al. 2022

IJMS

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Curcumin exhibits both immunomodulatory properties and anticarcinogenic effects which have been investigated in different experimental tumor models and cancer types. Its interactions with multiple signaling pathways have been documented through proteomic studies on malignant cells in culture; however, in vivo approaches are scarce. In this study, we used a rat model of highly invasive peritoneal mesothelioma to analyze the residual tumor proteomes of curcumin-treated rats in comparison with untreated tumor-bearing rats (G1) and provide insights into the modifications in the tumor microenvironment/malignant cell crosstalk. The cross-comparing analyses of the histological sections of residual tumors from two groups of rats given curcumin twice on days 21 and 26 after the tumor challenge (G2) or four times on days 7, 9, 11 and 14 (G3), in comparison with G1, identified a common increase in caveolin-1 which linked with significant abundance changes affecting 115 other proteins. The comparison of G3 vs. G2 revealed additional features for 65 main proteins, including an increase in histidine-rich glycoprotein and highly significant abundance changes for 22 other proteins regulating the tumor microenvironment, linked with the presence of numerous activated T cells. These results highlight new features in the multiple actions of curcumin on tumor microenvironment components and cancer cell invasiveness.

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Expression of immune-related genes as prognostic biomarkers for the assessment of osteosarcoma clinical outcomes

Cited by 8 publications

References 36 publications

Identification of B cell marker genes based on single-cell sequencing to establish a prognostic model and identify immune infiltration in osteosarcoma

Identification of B cell marker genes based on single-cell sequencing to establish a prognostic model and identify immune infiltration in osteosarcoma

Thyroid cancer prognostic biomarker ARL4A and its relationship with immune infiltration

Proteomes of Residual Tumors in Curcumin-Treated Rats Reveal Changes in Microenvironment/Malignant Cell Crosstalk in a Highly Invasive Model of Mesothelioma

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