Methylation profiling

Dataset Information

0

Methylation-based cellular deconvolution of triple-negative breast cancer DNA reveals prognostic immune signature


ABSTRACT: In triple negative breast cancer (TNBC), immune infiltration is now recognised as playing an important role in prognosis. DNA methylation, due to its cell-type specificity, offers a promising approach for quantifying immune cell abundance as a biomarker for risk stratification. Here, we used EpiDISH, a DNA methylation-based cellular deconvolution method, to estimate immune cell proportions from genome-wide methylation data across three independent cohorts, including TNBC patients. We show that increased immune cell percentage in TNBC patients specifically, was associated with longer disease-specific survival, highlighting the potential of DNA methylation-based estimates of cell composition for prognosis in TNBC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE308164 | GEO | 2026/01/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-08-28 | MSV000095715 | MassIVE
2019-01-28 | MSV000083373 | MassIVE
2009-07-19 | E-GEOD-11058 | biostudies-arrayexpress
2021-10-18 | E-MTAB-10886 | biostudies-arrayexpress
2023-08-02 | GSE239605 | GEO
2024-05-23 | GSE263756 | GEO
2016-11-17 | GSE87297 | GEO
2024-01-12 | PXD044157 | Pride
2024-01-11 | PXD039441 | Pride
2023-08-15 | GSE239996 | GEO