ArticleFrontiers in cell and developmental biology2021
Deconvolution of Bulk Gene Expression Profiles with Single-Cell Transcriptomics to Develop a Cell Type Composition-Based Prognostic Model for Acute Myeloid Leukemia.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- A specific stem cell program and CD112 immunological axis dysfunctions underpinning monosomy 7-associated myeloid neoplasms.Signal transduction and targeted therapy · 2026Article
- Review
- A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML.NPJ precision oncology · 2024Article
- Cellular abundance-based prognostic model associated with deregulated gene expression of leukemic stem cells in acute myeloid leukemia.Frontiers in cell and developmental biology · 2024Article
- Editorial: Genetic and cellular heterogeneity in tumors.Frontiers in cell and developmental biology · 2024Article
- Emerging Insights into Molecular Mechanisms of Inflammation in Myelodysplastic Syndromes.Biomedicines · 2023Review
- Aggrephagy-related patterns in tumor microenvironment, prognosis, and immunotherapy for acute myeloid leukemia: a comprehensive single-cell RNA sequencing analysis.Frontiers in oncology · 2023Article
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Abstract
Acute myeloid leukemia (AML) is one of the malignant hematologic cancers with rapid progress and poor prognosis. Most AML prognostic stratifications focused on genetic abnormalities. However, none of them was established based on the cell type compositions (CTCs) of peripheral blood or bone marrow aspirates from patients at diagnosis. Here we sought to develop a novel prognostic model for AML in adults based on the CTCs. First, we applied the CIBERSORT algorithm to estimate the CTCs for patients from two public datasets (GSE6891 and TCGA-LAML) using a custom gene expression signature reference constructed by an AML single-cell RNA sequencing dataset (GSE116256). Then, a CTC-based prognostic model was established using least absolute shrinkage and selection operator Cox regression, termed CTC score. The constructed prognostic model CTC score comprised 3 cell types, GMP-like, HSC-like, and T. Compared with the low-CTC-score group, the high-CTC-score group showed a 1.57-fold [95% confidence interval (CI), 1.23 to 2.00;
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