ArticleCancer genomics & proteomics
Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics.
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Liquid biopsy to personalize treatment for metastatic prostate cancer.American journal of translational research · 2024Review
- Article
- Metastatic Prostate Cancer Cells Secrete Methylglyoxal-Derived MG-H1 to Reprogram Human Osteoblasts into a Dedifferentiated, Malignant-like Phenotype: A Possible Novel Player in Prostate Cancer Bone Metastases.International journal of molecular sciences · 2021Article
- Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management.Clinical proteomics · 2020Review
- Effect of the roasting levels ofRSC advances · 2020Article
- Secretome profiling of PC3/nKR cells, a novel highly migrating prostate cancer subline derived from PC3 cells.PloS one · 2019Article
- Modern urology perspectives on prostate cancer biomarkers.Central European journal of urology · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
backgroundSecreted proteins play an important role in promoting cancer (PCa) cell migration and invasion. Proteogenomics helps elucidate the mechanism of diseases, discover therapeutic targets, and generate biomarkers for diagnosis through protein variations. MATERIALS AND
methodsWe carried out mass a spectrometry-based proteomic analysis of the conditioned media (CM) from two human prostate cancer cell lines, belonging to different metastatic sites, to identify potential metastatic and/or aggressive factors.
resultsWe identified a total of 598 proteins, among which 561 were quantified based on proteomic analysis. Among the quantified proteins, 128 were up-regulated and 83 were down-regulated in DU145/PC3 cells. Six mutant peptides were identified in the CM of prostate cancer cell lines using proteogenomics approach.
conclusionThis is the first proteogenomics study in PCa aiming at exploring a new type of metastatic factor, which are mutant peptides, predicting a novel biomarker of metastatic PCa for diagnosis, prognosis and drug targeting.
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