MassIVE MSV000095077

Partial Public PXD053231

Serum Proteomics Reveals Survival-Associated Biomarkers in Pancreatic Cancer Patients Treated with Chemoimmunotherapy

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Description

Immunotherapy has transformed the landscape of cancer treatment but remains largely ineffective for patients with pancreatic ductal adenocarcinoma (PDAC). Some patients, however, show improved outcomes when treated with a combination of immunotherapy and chemotherapy. Here, we conducted deep serum proteome analysis to investigate the protein profiles of PDAC patients and changes during this combinatorial treatment. Utilizing an advanced serum workflow, we quantified 1,011 proteins across 211 samples from 62 patients. Glycolytic enzymes were associated with survival in anti-PD-1 treated patients, with their abundances significantly correlating with expression levels in tumor biopsies. Notably, a set of protein biomarkers was found to be highly predictive of survival in anti-PD-1-treated patients (AUC = 0.91). Overall, our data demonstrate the potential of deep serum proteomics for precision medicine, offering a powerful tool to guide patient selection for treatment through minimally invasive serum protein biomarker measurements. [doi:10.25345/C5804XW9P] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: plasma ; cancer ; biomarker ; immunotherapy ; chemotherapy ; pancreatic ductal adenocarcinoma

Contact

Principal Investigators:
(in alphabetical order) 		Christoph B. Messner, Swiss Institute of Bioinformatics (SIB), 1005 Lausanne, Switzerland
Submitting User: roland_bruderer
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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