Research graph
References from Integrated transcriptomic and deep learning analyses define acRG signature for prognosis and therapeutic options in osteosarcoma. Local targets link to admitted publications; unresolved targets remain external evidence.
Managing the immune microenvironment of osteosarcoma: the outlook for osteosarcoma treatment
10.1038/s41413-023-00246-z · 2023 · External reference
Advances in prognostic models for osteosarcoma risk
2024 · External reference
Exploration of immune-related gene expression in osteosarcoma and association with outcomes
10.1001/jamanetworkopen.2021.19132 · 2021 · External reference
Single-cell and spatial transcriptomics reveal post-translational modifications in osteosarcoma progression and tumor microenvironment
10.1371/journal.pone.0333809 · 2025 · External reference
Single-cell and spatial transcriptomics reveal metastasis mechanism and microenvironment remodeling of lymph node in osteosarcoma
10.1186/s12916-024-03319-w · 2024 · External reference
mRNA acetylation: a new addition to the epitranscriptome
10.1038/s41422-018-0135-2 · 2019 · External reference
Acetylation of cytidine in mRNA promotes translation efficiency
10.1016/j.cell.2018.10.030 · 2018 · External reference
The emerging roles of ac4C acetylation "writer" NAT10 in tumorigenesis: a comprehensive review
10.1016/j.ijbiomac.2023.127789 · 2024 · External reference
The role and mechanism of NAT10-mediated ac4C modification in tumor development and progression
2024 · External reference
The function of NAT10-driven N4-acetylcytidine modification in cancer: novel insights and potential therapeutic targets
10.1186/s13578-025-01504-9 · 2025 · External reference
The critical role of NAT10-mediated N4-acetylcytidine modification in tumor immunity
2025 · External reference
Identification and validation of stemness-related gene signatures to predict prognosis and immune infiltration in osteosarcoma reveals a critical role for S100A13
10.1186/s12885-025-14939-7 · 2025 · External reference
Integrated analysis of multimodal single-cell data
10.1016/j.cell.2021.04.048 · 2021 · External reference
A single-cell and spatially resolved atlas of human osteosarcomas
10.1186/s13045-024-01598-7 · 2024 · External reference
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
10.1038/s41592-022-01480-9 · 2022 · External reference
Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data
10.1038/s41587-021-01091-3 · 2022 · External reference
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
10.1038/s41591-018-0136-1 · 2018 · External reference
Fast, sensitive and accurate integration of single-cell data with Harmony
10.1038/s41592-019-0619-0 · 2019 · External reference
TIMER2.0 for analysis of tumor-infiltrating immune cells
10.1093/nar/gkaa407 · 2020 · External reference
Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma
10.1038/s41467-020-20059-6 · 2020 · External reference
Prognostic and therapeutic significance of cancer-associated fibroblasts genes in osteosarcoma based on bulk and single-cell RNA sequencing data
10.1111/jcmm.70424 · 2025 · External reference
Unveiling ac4C modification pattern: a prospective target for improving the response to immunotherapeutic strategies in melanoma
10.1186/s12967-025-06297-6 · 2025 · External reference
Targeted therapy for osteosarcoma: a review
10.1007/s00432-023-04614-4 · 2023 · External reference
Deciphering the potential causal and prognostic relationships between gut microbiota and brain tumors: insights from genetics analysis and machine learning
2025 · External reference
MHAttnSurv: multi-head attention for survival prediction using whole-slide pathology images
10.1016/j.compbiomed.2023.106883 · 2023 · External reference
Determining cell type abundance and expression from bulk tissues with digital cytometry
10.1038/s41587-019-0114-2 · 2019 · External reference
Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers
2024 · External reference
A systematic review on machine learning techniques for survival analysis in cancer
10.1002/cam4.71375 · 2025 · External reference
clusterProfiler 4.0: a universal enrichment tool for interpreting omics data
2021 · External reference
A systematic review on machine learning and deep learning techniques in cancer survival prediction
10.1016/j.pbiomolbio.2022.07.004 · 2022 · External reference
Inference and analysis of cell-cell communication using CellChat
10.1038/s41467-021-21246-9 · 2021 · External reference
Generation of three-dimensional (3D) breast cancer bone metastasis model for drug testing
10.22203/ecm.v052a04 · 2025 · External reference
LOX upregulates FAK phosphorylation to promote metastasis in osteosarcoma
10.1016/j.gendis.2021.12.016 · 2023 · External reference
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma
10.1093/jnci/djae081 · 2024 · External reference
Deubiquitinase USP7 stabilizes KDM5B and promotes tumor progression and cisplatin resistance in nasopharyngeal carcinoma through the ZBTB16/TOP2A axis
10.1038/s41418-024-01257-x · 2024 · External reference
Oxidative stress in the tumor immune microenvironment: mechanisms and therapeutic perspectives
2026 · External reference
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2021 · External reference
