This system is for research purposes and is not meant to be used by clinical service providers in the course of treating patients.

This page describes a relationship from the Multiomics KG knowledge graph version 2.1.0

BackgroundThe Multiomics KG, created and maintained by the Multiomics Provider, provides knowledge collected from the supplementary tables from many published multiomics papers. Relationships ('edges') in this knowledge graph represent associations between metabolites, gene expression levels, clinical observations, diseases, etc.
DescriptionThis relationship represents the finding that GLIDR is negatively associated with urothelial carcinoma.
Supporting evidenceThe strength of the association (Univariate and Multivariate Cox regression) is -0.45, with corrected p-value of 0.015 (Benjamini Hochberg), as observed among N = 412 individuals.
Method notes: Data of hypoxia-related genes were downloaded from the molecular signatures database (MSigDB), and screened by univariate and multivariate Cox regression analysis to construct a prognosis-predictive model. The robustness of the model was evaluated in two melanoma cohorts. Furthermore, an external validation cohort, the bladder cancer cohort, from the Cancer Genome Atlas (TCGA) database, was t used to explore the mechanism of gene mutation, immune cell infiltration, signaling pathway enrichment, and drug sensitivity..

This relationship was reported in training set (row 1192) of PMC8657403.
File caption: Additional data file

In the source file, the subject is called "GLIDR".
In the source file, the object is called "Urothelial Carcinoma".

This relationship was curated by Skye Lane Goetz, Institute for Systems Biology.
The assertion is:
correctly interpreted
useful

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Raw edge content:
id0bb68efa-b033-3c77-bead-fed9610ebc14
subjectNCBIGene:389741
predicatebiolink:associated_with
objectMONDO:0040679
significantYES
score100.0000
domainNA
mesh_termsNA
sample_size412
p_value0.015454
multiple_testing_correction_methodBenjamini Hochberg
relationship_strength-0.44584
assertion_methodUnivariate and Multivariate Cox regression
notesData of hypoxia-related genes were downloaded from the molecular signatures database (MSigDB), and screened by univariate and multivariate Cox regression analysis to construct a prognosis-predictive model. The robustness of the model was evaluated in two melanoma cohorts. Furthermore, an external validation cohort, the bladder cancer cohort, from the Cancer Genome Atlas (TCGA) database, was t used to explore the mechanism of gene mutation, immune cell infiltration, signaling pathway enrichment, and drug sensitivity.
knowledge_levelstatistical_association
agent_typedata_analysis_pipeline
publicationPMC:PMC8657403
first_authorNA
journalNA
article_titleNA
year_publishedNA
download_linkhttps://pmc.ncbi.nlm.nih.gov/articles/instance/8657403/bin/Table8.XLSX
file_nameTable8.XLSX
section_number1
file_extensionxlsx
sheet_nametraining set
source_row_number1192
supplementary_file_captionAdditional data file
original_subjectGLIDR
subject_nameGLIDR
subject_categorybiolink:Gene
subject_mapped_with_taxonNCBITaxon:9606
subject_mapped_with_databasebabel
subject_mapped_with_levelL1
original_objectUrothelial Carcinoma
object_nameurothelial carcinoma
object_categorybiolink:Disease
object_mapped_with_taxonNA
object_mapped_with_databasebabel
object_mapped_with_levelL1
config_curator_nameSkye Lane Goetz
config_curator_organizationInstitute for Systems Biology