CancerPDF

CancerPDF aggregates curated endogenous peptide data from human biofluids (serum, urine, plasma, saliva) to support peptide-based biomarker discovery and analysis in cancer.

Key Features:

• Curated repository: Contains endogenous peptides identified in human biofluids including serum, urine, plasma, and saliva.
• Data scope: Comprises 14,367 entries with 9,692 unique peptide sequences derived from 2,230 precursor proteins across approximately 27 cancer conditions sourced from 56 studies.
• Biological focus: Captures peptidome patterns reflective of protein synthesis, processing, and degradation within tissue environments.
• Recorded attributes: Includes primary information fields such as mass-to-charge ratio (m/z), associated precursor protein, cancer type, and regulation status in cancer contexts.
• Study consolidation: Integrates results from numerous high-throughput peptidome studies to enable cross-study comparison.

Scientific Applications:

• Biomarker discovery: Supports identification and analysis of peptide-based biomarkers associated with various cancers.
• Comparative analysis: Enables cross-study comparison of endogenous peptide profiles across multiple cancer conditions.
• Mechanistic investigation: Facilitates studies of cancer-specific alterations in protein synthesis, processing, and degradation.
• Clinical research support: Aids exploration and validation of candidate biomarkers for early detection, diagnosis, and monitoring of cancer progression.

Methodology:

Entries were manually curated and compiled from 56 high-throughput peptidome studies, mapping 9,692 unique peptide sequences to 2,230 precursor proteins and recording attributes such as m/z, cancer type, and regulation status.