Article

Sepsis-associated Pathways Segregate Cancer Groups

2019-05-10

Abstract excerpt

<h4>Background</h4> Sepsis and cancer are both leading causes of death, and occurrence of any one, increases the likelihood of the other. While cancer patients are susceptible to sepsis, survivors of sepsis are also susceptible to develop certain cancers. This mutual dependence for susceptibility suggests shared biology between the two disease categories. Earlier analysis had revealed cancer-related pathway to be...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a5b19a46-6d84-514a-91ac-5d1b5306f8e3
DOI: 10.1101/635243

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Sepsis-associated Pathways Segregate Cancer GroupsDOI 10.1101/635243Read

Bioinformatics analysis to screen for critical genes between survived and non‑survived patients with sepsisSemantic proximity Read

Six-gene Signature Based on Metabolism Is Closely Related to the Prognosis and Immune Infiltration of Patients With SepsisSemantic proximity Read

Construction of gene network database, and identification of key genes for diagnosis, prognosis, and treatment in sepsisSemantic proximity Read

exploring the molecular mechanism of sepsis comprehensively based on multi-omics analysisSemantic proximity Read

Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injurySemantic proximity Read

Identification of molecular diagnostic markers in sepsis-induced acute lung injurySemantic proximity Read

Identification of common core genes and pathways of sepsis and cancer by bioinformatics analysisSemantic proximity Read

A comprehensive analysis of immune features and construction of an immune gene diagnostic model for sepsisSemantic proximity Read

Integrated analysis of multi-omics data reveals T cell exhaustion in sepsisSemantic proximity Read

Association of cancers with the occurrence and 28-day mortality of sepsis: a mendelian randomization and mediator analysisSemantic proximity Read

Prognosis of patients with septic shock predicted by bioinformatics analysis based on gene expression profilingSemantic proximity Read

A Five-Genes Based Diagnostic Signature for Sepsis-Induced ARDSSemantic proximity Read