ArticleEvolutionary bioinformatics online2021
Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network.
Article in Evolutionary bioinformatics online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
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- Transcriptome analysis revealed SMURF2 as a prognostic biomarker for oral cancer.Journal of applied genetics · 2025Article
- Interferon Regulatory Factor 4 Recruits Immature B Cells to Signal Tertiary Lymphoid Structure Immaturity and Progression of Clear Cell Renal Cell Carcinoma.International journal of biological sciences · 2025Article
- RNA-seq-based elucidation of lactylation in breast cancer.Archives of medical science : AMS · 2025Article
- Decoding hub gene networks and miRNA interplay in Wilms tumor pathogenesis and therapeutic sensitivity.American journal of translational research · 2025Article
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- Disulfidptosis-related genes serve as potential prognostic biomarkers and indicate tumor microenvironment characteristics and immunotherapy response in prostate cancer.Scientific reports · 2024Article
- A novel angiogenesis-associated risk score predicts prognosis and characterizes the tumor microenvironment in colon cancer.Translational cancer research · 2024Article
- A multi-dimensional approach to unravel the intricacies of lactylation related signature for prognostic and therapeutic insight in colorectal cancer.Journal of translational medicine · 2024Article
- Integrative landscape analysis of prognostic model biomarkers and immunogenomics of disulfidptosis-related genes in breast cancer based on LASSO and WGCNA analyses.Journal of cancer research and clinical oncology · 2023Article
- Article
- A novel tetraspanin-related gene signature for predicting prognosis and immune invasion status of lung adenocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- Subtypes analysis and prognostic model construction based on lysosome-related genes in colon adenocarcinoma.Frontiers in genetics · 2023Article
- Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.Frontiers in endocrinology · 2023Article
- Identification and validation of a dysregulated TME-related gene signature for predicting prognosis, and immunological properties in bladder cancer.Frontiers in immunology · 2023Article
- Protein Arginine Methyltransferases Refine the Classification of Clear Cell Renal Cell Carcinoma with Distinct Prognosis and Tumor Microenvironment Characteristics.International journal of biological sciences · 2023Article
- Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in whichFrontiers in immunology · 2023Article
- A Novel Molecular Signature of Cancer-Associated Fibroblasts Predicts Prognosis and Immunotherapy Response in Pancreatic Cancer.International journal of molecular sciences · 2022Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis is a dysregulated host response to pathogens. Delay in sepsis diagnosis has become a primary cause of patient death. This study determines some factors to prevent septic shock in its early stage, contributing to the early treatment of sepsis.
methodsThe sequencing data (RNA- and miRNA-sequencing) of patients with septic shock were obtained from the NCBI GEO database. After re-annotation, we obtained lncRNAs, miRNA, and mRNA information. Then, we evaluated the immune characteristics of the sample based on the ssGSEA algorithm. We used the WGCNA algorithm to obtain genes significantly related to immunity and screen for important related factors by constructing a ceRNA regulatory network.
resultAfter re-annotation, we obtained 1708 lncRNAs, 129 miRNAs, and 17 326 mRNAs. Also, through the ssGSEA algorithm, we obtained 5 important immune cells. Finally, we constructed a ceRNA regulation network associated with SS pathways.
conclusionWe identified 5 immune cells with significant changes in the early stage of septic shock. We also constructed a ceRNA network, which will help us explore the pathogenesis of septic shock.
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