Multi-omics analysis identifies novels genes involved in glioma prognosis

Nature·Feb 17

✦ NabkaNews BriefAuto-summarized from multiple outlets · verify with the source

A multi-omics analysis has identified novel genes involved in glioma prognosis. However, reports vary, with some studies focusing on glioblastoma and others discussing different types of cancer, such as colorectal and ovarian cancer. The analysis appears to be a tool for identifying biomarkers and potential therapeutic targets in various cancers, including glioma.

Full coverage

Integrative multi-omics analysis identified FUT9 and MS4A3 as novel immune-phenotype and prognosis biomarkers for colorectal cancer and analyze the role of FUT9 in oncoimmunology

Nature·Mar 23

A prognostic matrix gene expression signature defines functional glioblastoma phenotypes and niches

Nature·Jan 5

A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures

Frontiers·Feb 15

Multi-omics analysis: Paving the path toward achieving precision medicine in cancer treatment and immuno-oncology

Frontiers·Jun 27

LSM2 drives glioma progression through alternative splicing dysregulation: a multi-omics approach to identify a potential therapeutic target

Frontiers·Apr 28

Multi-omics analysis identifies glioblastoma dependency on H3K9me3 methyltransferase activity

Nature·Mar 20

Genetic feature selection algorithm as an efficient glioma grade classifier - Scientific Reports

Nature·May 3

Machine learning driven multiomics analysis identifies disulfidptosis associated molecular subtypes in ovarian cancer

Nature·Nov 25

View original report at Nature ↗

Fetching the latest headlines…