ArticlePloS one2011
Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 74 citations in OpenAlex.
- Secondary Analysis of Human Bulk RNA-Seq Dataset Suggests Potential Mechanisms for Letrozole Resistance in Estrogen-Positive (ER+) Breast Cancer.Current issues in molecular biology · 2024Article
- Molecular Insights into the Breast and Prostate Cancer Cells in Response to the Change of Extracellular Zinc.Journal of oncology · 2024Article
- Microfluidic-based prostate cancer model for investigating the secretion of prostate-specific antigen and microRNAs in vitro.Scientific reports · 2023Article
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- DIGE-Based Biomarker Discovery in Blood Cancers.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Potential Role of Seven Proteomics Tissue Biomarkers for Diagnosis and Prognosis of Prostate Cancer in Urine.Diagnostics (Basel, Switzerland) · 2022Article
- Identification of the Regulatory Targets of miR-3687 and miR-4417 in Prostate Cancer Cells Using a Proteomics Approach.International journal of molecular sciences · 2022Article
- Gel-Based Proteomic Identification of Suprabasin as a Potential New Candidate Biomarker in Endometrial Cancer.International journal of molecular sciences · 2022Article
- The expression of YWHAZ and NDRG1 predicts aggressive outcome in human prostate cancer.Communications biology · 2021Article
- Overexpression of PRDX4 Modulates Tumor Microenvironment and Promotes Urethane-Induced Lung Tumorigenesis.Oxidative medicine and cellular longevity · 2020Article
- Ubiquitin Carboxyl-Terminal Hydrolases and Human Malignancies: The Novel Prognostic and Therapeutic Implications for Head and Neck Cancer.Frontiers in oncology · 2020Review
- Inhibition of Dimethylarginine Dimethylaminohydrolase (DDAH) Enzymes as an Emerging Therapeutic Strategy to Target Angiogenesis and Vasculogenic Mimicry in Cancer.Frontiers in oncology · 2019Review
- PRDX4 and Its Roles in Various Cancers.Technology in cancer research & treatment · 2019Review
- Drug Repositioning for Effective Prostate Cancer Treatment.Frontiers in physiology · 2018Review
- Database-augmented Mass Spectrometry Analysis of Exosomes Identifies Claudin 3 as a Putative Prostate Cancer Biomarker.Molecular & cellular proteomics : MCP · 2017Article
- Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery.Oncotarget · 2017Review
- Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer.Frontiers in oncology · 2017Review
- Brain Radiation Information Data Exchange (BRIDE): integration of experimental data from low-dose ionising radiation research for pathway discovery.BMC bioinformatics · 2016Article
- Biological Networks for Cancer Candidate Biomarkers Discovery.Cancer informatics · 2016Review
- Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers.PloS one · 2016Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) is the most common type of cancer found in men and among the leading causes of cancer death in the western world. In the present study, we compared the individual protein expression patterns from histologically characterized PCa and the surrounding benign tissue obtained by manual micro dissection using highly sensitive two-dimensional differential gel electrophoresis (2D-DIGE) coupled with mass spectrometry. Proteomic data revealed 118 protein spots to be differentially expressed in cancer (n = 24) compared to benign (n = 21) prostate tissue. These spots were analysed by MALDI-TOF-MS/MS and 79 different proteins were identified. Using principal component analysis we could clearly separate tumor and normal tissue and two distinct tumor groups based on the protein expression pattern. By using a systems biology approach, we could map many of these proteins both into major pathways involved in PCa progression as well as into a group of potential diagnostic and/or prognostic markers. Due to complexity of the highly interconnected shortest pathway network, the functional sub networks revealed some of the potential candidate biomarker proteins for further validation. By using a systems biology approach, our study revealed novel proteins and molecular networks with altered expression in PCa. Further functional validation of individual proteins is ongoing and might provide new insights in PCa progression potentially leading to the design of novel diagnostic and therapeutic strategies.
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