pcmdb : Pancreatic Cancer Methylation Database

PCMdb provides a curated repository of gene methylation data for pancreatic cancer to support biomarker discovery and epigenetic research.

Key Features:

• Gene coverage: Contains methylation data for 4,342 unique genes implicated in pancreatic cancer.
• Dataset size: Contains 65,907 total methylation entries.
• Sample composition: Includes 53,565 entries from 88 cancer cell lines and 12,342 entries from 3,078 cancer tissue samples.
• Methylation status distribution: Approximately 47.22% of entries report high methylation and 10.87% report low methylation.
• Cancer subtype coverage: Covers five major pancreatic cancer subtypes, with adenocarcinomas comprising 88.38% and mucinous neoplasms 5.76% of entries.
• Curation: Data were manually curated from the published literature.

Scientific Applications:

• Biomarker discovery: Supports identification of methylation-based diagnostic and prognostic biomarkers for pancreatic cancer.
• Epigenetic mechanism investigation: Enables analysis of gene methylation patterns to study epigenetic mechanisms in pancreatic tumorigenesis.
• Comparative analyses: Facilitates comparison of methylation profiles between cancer cell lines and tissue samples.
• Subtype-specific studies: Allows examination of methylation differences across pancreatic cancer subtypes, including adenocarcinomas and mucinous neoplasms.

Methodology:

Entries were manually extracted and compiled from published literature.