ArticleScientific reports2022
Tumor immune cell infiltration score based model predicts prognosis in multiple myeloma.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Bone marrow immune cell composition reflects multiple myeloma progression and affects treatment response.Blood neoplasia · 2026Article
- Identifying ADME-related gene signature for immune landscape and prognosis in KIRC by single-cell and spatial transcriptome analysis.Scientific reports · 2025Article
- CD4Trends in cancer · 2024Review
- A neutrophil extracellular trap-related risk score predicts prognosis and characterizes the tumor microenvironment in multiple myeloma.Scientific reports · 2024Article
- IL5RA as an immunogenic cell death-related predictor in progression and therapeutic response of multiple myeloma.Scientific reports · 2023Article
- Developing mRNA signatures as a novel prognostic biomarker predicting high risk multiple myeloma.Frontiers in oncology · 2023Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The tumor microenvironment plays an important role in various processes, including tumorigenesis, cancer progression, and metastasis. Immune signatures have been identified and verified for use in diagnosis and prognosis prediction. We used single-sample Gene Set Enrichment Analysis to evaluate tumor immune cell infiltration score (TIICs) and verify their prognostic significance in both training and validation cohorts and using this information to build a prognostic model. A total of 1281 samples were obtained for further evaluation of the immune enrichment scores of 28 immune cells, showing that Th17 cell contributed most significantly to survival. Using the median TIICs as a cutoff to divide the samples into two groups, we found that the high-TIICs group was associated with favorable outcomes in both the training and validation sets. We then constructed a prognostic model to predict the 6, 8, and 10-year survival outcomes. Further analysis showed that immune score and tumor purity were higher in the high-TIICs group, while the matrix score was lower in this group. Forty-two differentially expressed genes were identified between the two groups. This new prognostic model based on immune cell infiltration indicates the potential for TIICs in predicting prognosis and as targets for treatment.
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