Back to search

Article

Integrated Bioinformatics Analysis Revealed Stemness Features and a Novel Stemness-Related Gene Signature for Risk Stratification in Pheochromocytomas and Paragangliomas

2022-12-20

Abstract excerpt

Numerous studies have shown that tumor stemness is closely related to the heterogeneous growth of tumor cells and their proliferation, distant metastasis, and resistance to chemotherapy. However, comprehensive studies on the stemness of pheochromocytomas and paragangliomas (PPGLs) are still lacking. The mRNA expression-based stemness indices (mRNAsi) reflecting tumor cell stemness were calculated using the OCLR ma...

Topics

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

Identifiers and source

Literature Corpus work
05de0c7c-cc72-5587-a9c9-3c9758b6b5fb
DOI
10.21203/rs.3.rs-2387683/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrated Bioinformatics Analysis Revealed Stemness Features and a Novel Stemness-Related Gene Signature for Risk Stratification in Pheochromocytomas and ParagangliomasDOI 10.21203/rs.3.rs-2387683/v1
Correlation of Hepatocellular Carcinoma Stemness Indices and Clinical Characteristics and PrognosisSemantic proximity
Characterization of stem cell landscape and identification of stemness-relevant prognostic gene signature to aid immunotherapy in colorectal cancerSemantic proximity
PXMP2 Inhibits Tumor Stemness and Immune Infiltration in Hepatocellular Carcinoma based on Stemness RiskSemantic proximity
Development and Validation of a Unique Gignature of Cancer Stemness-related Genes for Predicting the Overall survival of Colorectal Cancer PatientsSemantic proximity
Cancer Stemness Online: A resource for investigating cancer stemness and associations with immune responseSemantic proximity
Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastomaSemantic proximity
Identification of Prognostic Model and Biomarkers for Cancer Stem Cell Characteristics in Glioblastoma by Network Analysis of Multi-Omics Data and Stemness IndicesSemantic proximity
In silico identification of the prognostic biomarkers and therapeutic targets associated with cancer stem cell characteristics of glioma.Semantic proximity
Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular CarcinomaSemantic proximity
Stemness Related Genes Revealed by Network Analysis Associated With Tumor Immune Microenvironment and the Clinical Outcome in Lung AdenocarcinomaSemantic proximity
Identification of a Cancer Stemness Driven Prognostic Model and Therapeutic Drug Targets by Machine Learning in Hepatocellular CarcinomaSemantic proximity
Identification of stemness-related LncRNA signature for predicting the prognosis and therapy response in colorectal cancerSemantic proximity
Select a neighboring publication to make it the new centre.