ReviewJournal of translational medicine2014
The role of quantitative mass spectrometry in the discovery of pancreatic cancer biomarkers for translational science.
Review in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 55 citations in OpenAlex.
- Peptides as integrative modulators for clinical prognosis and targeted therapy in pancreatic cancer.Discover oncology · 2026Review
- The Role of the Pancreatic Extracellular Matrix as a Tissue Engineering Support for the Bioartificial Pancreas.Biomimetics (Basel, Switzerland) · 2024Review
- IGFBP2 promotes proliferation and cell migration through STAT3 signaling in Sonic hedgehog medulloblastoma.Acta neuropathologica communications · 2023Article
- Bile Acids: Physiological Activity and Perspectives of Using in Clinical and Laboratory Diagnostics.Molecules (Basel, Switzerland) · 2022Review
- Review
- Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review.Chinese clinical oncology · 2022Review
- Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images.Frontiers in oncology · 2022Article
- Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.Cancer biomarkers : section A of Disease markers · 2022Article
- Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- IGFBP2 promotes tumor progression by inducing alternative polarization of macrophages in pancreatic ductal adenocarcinoma through the STAT3 pathway.Cancer letters · 2021Article
- Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021Review
- Reciprocal interplay between asporin and decorin: Implications in gastric cancer prognosis.PloS one · 2021Article
- Integrin and autocrine IGF2 pathways control fasting insulin secretion in β-cells.The Journal of biological chemistry · 2020Article
- Identification of dissociation factors in pancreatic Cancer using a mass spectrometry-based proteomic approach.BMC cancer · 2020Article
- Proteomic and genomic profiling of pancreatic cancer.Cell biology and toxicology · 2019Review
- Quantitative proteomics identifies brain acid soluble protein 1 (BASP1) as a prognostic biomarker candidate in pancreatic cancer tissue.EBioMedicine · 2019Article
- Cytoplasmic Asporin promotes cell migration by regulating TGF-β/Smad2/3 pathway and indicates a poor prognosis in colorectal cancer.Cell death & disease · 2019Article
- Article
- The emerging role of galectins in high-fatality cancers.Cellular and molecular life sciences : CMLS · 2018Review
- Proteomic analyses identify prognostic biomarkers for pancreatic ductal adenocarcinoma.Oncotarget · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the post-genomic era, it has become evident that genetic changes alone are not sufficient to understand most disease processes including pancreatic cancer. Genome sequencing has revealed a complex set of genetic alterations in pancreatic cancer such as point mutations, chromosomal losses, gene amplifications and telomere shortening that drive cancerous growth through specific signaling pathways. Proteome-based approaches are important complements to genomic data and provide crucial information of the target driver molecules and their post-translational modifications. By applying quantitative mass spectrometry, this is an alternative way to identify biomarkers for early diagnosis and personalized medicine. We review the current quantitative mass spectrometric technologies and analyses that have been developed and applied in the last decade in the context of pancreatic cancer. Examples of candidate biomarkers that have been identified from these pancreas studies include among others, asporin, CD9, CXC chemokine ligand 7, fibronectin 1, galectin-1, gelsolin, intercellular adhesion molecule 1, insulin-like growth factor binding protein 2, metalloproteinase inhibitor 1, stromal cell derived factor 4, and transforming growth factor beta-induced protein. Many of these proteins are involved in various steps in pancreatic tumor progression including cell proliferation, adhesion, migration, invasion, metastasis, immune response and angiogenesis. These new protein candidates may provide essential information for the development of protein diagnostics and targeted therapies. We further argue that new strategies must be advanced and established for the integration of proteomic, transcriptomic and genomic data, in order to enhance biomarker translation. Large scale studies with meta data processing will pave the way for novel and unexpected correlations within pancreatic cancer, that will benefit the patient, with targeted treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.