ArticleAging2021
Gene expression profiles for an immunoscore model in bone and soft tissue sarcoma.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Role of Macrophages in Various Types of Tumors and the Possibility of Their Use as Targets for Antitumor Therapy.Cancers · 2025Review
- Necroptosis-related lncRNA-based novel signature to predict the prognosis and immune landscape in soft tissue sarcomas.Journal of cancer research and clinical oncology · 2024Article
- Review
- Type 2 diabetes mellitus and the risk of male infertility: a Mendelian randomization study.Frontiers in endocrinology · 2023Article
- A novel immune-related gene signature predicting survival in sarcoma patients.Molecular therapy oncolytics · 2022Article
- Five hypoxia and immunity related genes as potential biomarkers for the prognosis of osteosarcoma.Scientific reports · 2022Article
- A novel necroptosis-related lncRNAs signature effectively predicts the prognosis for osteosarcoma and is associated with immunity.Frontiers in pharmacology · 2022Article
- A Necroptosis-Related lncRNA Signature Predicts Prognosis and Indicates the Immune Microenvironment in Soft Tissue Sarcomas.Frontiers in genetics · 2022Article
- Identification and Validation of Pyroptosis-Related lncRNA Signature and Its Correlation with Immune Landscape in Soft Tissue Sarcomas.International journal of general medicine · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImmune infiltration is a prognostic marker to clinical outcomes in various solid tumors. However, reports that focus on bone and soft tissue sarcoma are rare. The study aimed to analyze and identify how immune components influence prognosis and develop a novel prognostic system for sarcomas.
methodsWe retrieved the gene expression data from 3 online databases (GEO, TCGA, and TARGET). The immune fraction was estimated using the CIBERSORT algorithm. After that, we re-clustered samples by K-means and constructed immunoscore by the least absolute shrinkage and selection operator (LASSO) Cox regression model. Next, to confirm the prognostic value, nomograms were constructed.
results334 samples diagnosed with 8 tumor types (including osteosarcoma) were involved in our analysis. Patients were next re-clustered into three subgroups (OS, SAR1, and SAR2) through immune composition. Survival analysis showed a significant difference between the two soft tissue groups: patients with a higher proportion of CD8+ T cells, macrophages M1, and mast cells had favorable outcomes (p=0.0018). Immunoscore models were successfully established in OS and SAR2 groups consisting of 12 and 9 cell fractions, respectively. We found immunosocre was an independent factor for overall survival time. Patients with higher immunoscore had poor prognosis (p<0.0001). Patients with metastatic lesions scored higher than those counterparts with localized tumors (p<0.05).
conclusionsImmune fractions could be a useful tool for the classification and prognosis of bone and soft tissue sarcoma patients. This proposed immunoscore showed a promising impact on survival prediction.
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