Lipidomic Profiles of Pancreatic Cancer from Fine-Needle Aspiration Specimens

1822 lipid species across 47 classes were detected in paired tumor and non-tumor tissues from 13 pancreatic ductal adenocarcinoma patients. The dataset, created by Shenhao Liu and last updated in 2026, was generated using liquid chromatography–tandem mass spectrometry on endoscopic ultrasound-guided fine-needle aspiration specimens. An independent cohort of 30 patient serum samples was included for exploratory projection analysis.

Use Cases

• Identify differential lipid species between tumor and adjacent non-tumor tissues based on multivariate and univariate analyses.
• Investigate lipid metabolic remodeling patterns, such as fatty acyl chain elongation and unsaturation, mentioned in the description.
• Validate the feasibility of lipidomic profiling in minimally invasive diagnostic samples like EUS-FNA-derived specimens.
• Explore the construction of a composite lipid score based on principal component loadings for potential diagnostic use.

Strengths

• Includes data on 1822 distinct lipid species across 47 lipid classes.
• Based on paired tissue samples from 13 PDAC patients, allowing for within-patient comparison.
• Uses a widely targeted (pseudo-targeted) LC–MS/MS methodology for lipidomic analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale at 714.4 KB, indicating limited scope.

Provenance

Source

figshare, author Shenhao Liu

Collection Method

Lipidomic analysis via liquid chromatography–tandem mass spectrometry (LC–MS/MS) on endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) specimens.

Freshness

Last updated 2026-05-29 04:46:55; freshness should be verified.