biostudies-arrayexpressMetabolomicsUnknownTranscriptomicsGenomicsProteomicsMatthias Dottermuschmethylation profiling by arrayHomo sapiensHomo sapienshttps://www.ebi.ac.uk/biostudies/studies/E-MTAB-16589Corticotroph pituitary neuroendocrine tumors (PitNETs) are heterogeneous sellar neoplasms with variable clinical manifestations and growth behaviour. In this study, epigenomic data was generated as part of an integrative meta-analysis of corticotroph PitNETs, which included epigenomic, transcriptomic, and proteomic investigations. This deposit comprises idat files of tumor samples and adenohypophysial non-neoplastic control samples. These data were integrated with previously published external molecular datasets. The combined analyses defined four clinically relevant molecular subgroups of corticotroph PitNETs.biostudies-arrayexpressSample Collection - Formalin-fixed, paraffin-embedded tissue samples were collected.Nucleic Acid Extraction - DNA was isolated from FFPE tissue using the Maxwell FFPE Plus DNA Kit (Promega). Around 100-500 ng DNA was bisulfite converted using the EZ DNA Methylation Kit (Zymo Research). Afterwards, the DNA Clean & Concentrator-5 (Zymo Research) and the Infinium HD FFPE DNA Restore Kit (Illumina) were employed to clean and restore the converted DNA.Hybridization - DNA was amplified, fragmented and hybridised to Illumina Infinium MethylationEPIC (or MethylationEPIC v2.0) BeadChips using standard Illumina protocols.Labeling - DNA was labelled according to standard Illumina protocols.Scaning - Arrays were scanned using the iScan System and standard recommended Illumina scanner settings.MIAME ScoreRaw DataOrganizationAssays and DataProcessed DataMAGE-TAB FilesArray DesignsJulia NeumannMatthias DottermuschData Transformation - Raw data were processed using minfi (v1.46.0), IlluminaHumanMethylationEPICanno.ilm10b4.hg19 (v.0.6.0), IlluminaHumanMethylationEPICv2anno.20a1.hg38 (v1.0.0), IlluminaHumanMethylationEPICmanifest (v.0.3.0), and IlluminaHumanMethylationEPICv2manifest (v.1.0.0) in R (v4.3.3). The idats were read into an RGChannelSet and preprocessed using preprocessNoob background correction method. P-values for every individual probe were calculated using the minfi detectionP()-function. Probes with a detection p-value ≥ 0.01, probes located on sex chromosomes, probes containing SNPs at the CpG site, and cross-reactive probes were excluded. After filtering, beta values were calculated, and probes targeting to the same CpG locus were averaged. Finally, all remaining CpGs were restricted to probes present on the 450K array to enable full data integration.falseGlobal epigenomic profiling of corticotroph pituitary neuroendocrine tumorsCorticotroph pituitary neuroendocrine tumors (PitNETs) are heterogeneous sellar neoplasms with variable clinical manifestations and growth behaviour. In this study, epigenomic data was generated as part of an integrative meta-analysis of corticotroph PitNETs, which included epigenomic, transcriptomic, and proteomic investigations. This deposit comprises idat files of tumor samples and adenohypophysial non-neoplastic control samples. These data were integrated with previously published external molecular datasets. The combined analyses defined four clinically relevant molecular subgroups of corticotroph PitNETs.2026-07-03T00:00:00Z2026-07-03T08:41:13.005Z2026-01-28T14:43:11.741ZE-MTAB-16589EFO_0002944EFO_0003814EFO_0003813EFO_0002759EFO_0005518EFO_0003816EFO_0003815