ArticleFrontiers in pharmacology2022
Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia.
Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Regulation of calcium homeostasis by S100A12 drives NETosis in chronic kidney disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Regulation of Calcium Homeostasis by PIEZO1 Drives NETosis and Fibrosis in Bronchopulmonary Dysplasia.Journal of cellular and molecular medicine · 2026Article
- A View of Myeloid Transformation through the Hallmarks of Cancer.Blood cancer discovery · 2024Review
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- Data-driven modeling of core gene regulatory network underlying leukemogenesis in IDH mutant AML.NPJ systems biology and applications · 2024Article
- Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.International journal of clinical practice · 2024Article
- Article
- Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases.International journal of molecular sciences · 2023Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
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Abstract
In malignancies, cellular senescence is critical for carcinogenesis, development, and immunological regulation. Patients with acute myeloid leukemia (AML) have not investigated a reliable cellular senescence-associated profile and its significance in outcomes and therapeutic response. Cellular senescence-related genes were acquired from the CellAge database, while AML data were obtained from the GEO and TCGA databases. The TCGA-AML group served as a training set to construct a prognostic risk score signature, while the GSE71014 set was used as a testing set to validate the accuracy of the signature. Through exploring the expression profiles of cellular senescence-related genes (SRGs) in AML patients, we used Lasso and Cox regression analysis to establish the SRG-based signature (SRGS), which was validated as an independent prognostic predictor for AML patients via clinical correlation. Survival analysis showed that AML patients in the low-risk score group had a longer survival time. Tumor immune infiltration and functional enrichment analysis demonstrated that AML patients with low-risk scores had higher immune infiltration and active immune-related pathways. Meanwhile, drug sensitivity analysis and the TIDE algorithm showed that the low-risk score group was more susceptible to chemotherapy and immunotherapy. Cell line analysis
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