ArticleScientific reports2016
Quantitative secretomic analysis of pancreatic cancer cells in serum-containing conditioned medium.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Article
- Lfng-expressing centroacinar cell is a unique cell-of-origin for p53 deficient pancreatic cancer.Oncogene · 2025Article
- Downregulated CDH3 is correlated with a better prognosis for LUAD and decreases proliferation and migration of lung cancer cells.Genes & genomics · 2024Article
- Pancreatic Cancer-Secreted Proteins: Targeting Their Functions in Tumor Microenvironment.Cancers · 2023Review
- Low-Abundance Protein Enrichment for Medical Applications: The Involvement of Combinatorial Peptide Library Technique.International journal of molecular sciences · 2023Review
- First bioelectronic immunoplatform for quantitative secretomic analysis of total and metastasis-driven glycosylated haptoglobin.Analytical and bioanalytical chemistry · 2023Article
- Analysis of Cancer Cell Line Secretomes: A Complementary Source of Disease-Specific Protein Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Exosomal DNAJB11 promotes the development of pancreatic cancer by modulating the EGFR/MAPK pathway.Cellular & molecular biology letters · 2022Article
- Construction and validation of a prognostic risk model for breast cancer based on protein expression.BMC medical genomics · 2022Article
- Epigenome-wide scan identifies differentially methylated regions for lung cancer using pre-diagnostic peripheral blood.Epigenetics · 2022Article
- Syntenin Regulated by miR-216b Promotes Cancer Progression in Pancreatic Cancer.Frontiers in oncology · 2022Article
- Implications of prognosis-associated genes in pancreatic tumor metastasis: lessons from global studies in bioinformatics.Cancer metastasis reviews · 2021Review
- Review
- Recent Developments and Applications of Quantitative Proteomics Strategies for High-Throughput Biomolecular Analyses in Cancer Research.RSC chemical biology · 2021Article
- A Simple Method for In-Depth Proteome Analysis of Mammalian Cell Culture Conditioned Media Containing Fetal Bovine Serum.International journal of molecular sciences · 2021Article
- New Born Calf Serum Can Induce Spheroid Formation in Breast Cancer KAIMRC1 Cell Line.Frontiers in molecular biosciences · 2021Article
- FOLFIRINOX regulated tumor immune microenvironment to extend the survival of patients with resectable pancreatic ductal adenocarcinoma.Gland surgery · 2020Article
- An Integrated Meta-Analysis of Secretome and Proteome Identify Potential Biomarkers of Pancreatic Ductal Adenocarcinoma.Cancers · 2020Article
- Identification of Hub Prognosis-Associated Oxidative Stress Genes in Pancreatic Cancer Using Integrated Bioinformatics Analysis.Frontiers in genetics · 2020Article
- The miR-1224-5p/ELF3 Axis Regulates Malignant Behaviors of Pancreatic Cancer via PI3K/AKT/Notch Signaling Pathways.OncoTargets and therapy · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cancer is a highly metastatic and chemo-resistant disease. Secreted proteins involved in cell-cell interactions play an important role in changing the tumor microenvironment. Previous studies generally focus on the secretome of cancer cell line from serum-free media, due to the serious interference of fetal bovine serum (FBS). However, serum-starvation may alter expression patterns of secreted proteins. Hence, efforts to decrease the interference of serum in proteomic analysis of serum-containing media have been hampered to quantitatively measure the tumor secretion levels. Recently, the metabolic labeling, protein equalization, protein fractionation and filter-aided sample preparation (FASP) strategy (MLEFF) has been successfully used to avoid the disturbance of serum on secretome analysis. Here, this efficient method was applied for comparative secretome analysis of two hamster pancreatic cancer cells with differentially metastatic potentials, enabling the observation of 161 differentially expressed proteins, including 106 proteins that had been previously reported and detected in plasma. By integrated analysis of our data and publicly available bioinformatics resources, we found that a combination panel consisting of CDH3, PLAU, and LFNG might improve the prognosis of overall pancreatic cancer survival. These secreted proteins may serve as a potential therapeutic targets for pancreatic cancer metastasis.
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