ReviewFrontiers in oncology2018
Impact of Phosphoproteomics in the Era of Precision Medicine for Prostate Cancer.
Review in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 24 citations in OpenAlex.
- Phosphorylation shapes antigen presentation and immune recognition: mechanistic insights and translational perspectives.Frontiers in immunology · 2026Review
- Sequencing of Phosphopeptides Using a Sequential Charge Inversion Ion/Ion Reaction and Electron Capture Dissociation Workflow.Journal of the American Society for Mass Spectrometry · 2024Article
- Phosphoproteomic Analysis Defines BABAM1 as mTORC2 Downstream Effector Promoting DNA Damage Response in Glioblastoma Cells.Journal of proteome research · 2022Article
- Emerging Proteins in CRPC: Functional Roles and Clinical Implications.Frontiers in oncology · 2022Review
- Review
- Halting the vicious cycle within the multiple myeloma ecosystem: blocking JAM-A on bone marrow endothelial cells restores angiogenic homeostasis and suppresses tumor progression.Haematologica · 2021Article
- Optical chemosensors for the detection of proximally phosphorylated peptides and proteins.RSC chemical biology · 2021Review
- Post-Translational Modifications That Drive Prostate Cancer Progression.Biomolecules · 2021Review
- AR-dependent phosphorylation and phospho-proteome targets in prostate cancer.Endocrine-related cancer · 2020Review
- Strategies for Functional Interrogation of Big Cancer Data Using Drosophila Cancer Models.International journal of molecular sciences · 2020Review
- Machine learning empowers phosphoproteome prediction in cancers.Bioinformatics (Oxford, England) · 2020Article
- Ion Activation Methods for Peptides and Proteins.Analytical chemistry · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is the most common malignancy in men in the United States. While androgen deprivation therapy results in tumor responses initially, there is relapse and progression to metastatic castration-resistant prostate cancer. Currently, all prostate cancer patients receive essentially the same treatment, and there is a need for clinically applicable technologies to provide predictive biomarkers toward personalized therapies. Genomic analyses of tumors are used for clinical applications, but with a paucity of obvious driver mutations in metastatic castration-resistant prostate cancer, other applications, such as phosphoproteomics, may complement this approach. Immunohistochemistry and reverse phase protein arrays are limited by the availability of reliable antibodies and evaluates a preselected number of targets. Mass spectrometry-based phosphoproteomics has been used to profile tumors consisting of thousands of phosphopeptides from individual patients after surgical resection or at autopsy. However, this approach is time consuming, and while a large number of candidate phosphopeptides are obtained for evaluation, limitations are reduced reproducibility, sensitivity, and precision. Targeted mass spectrometry can help eliminate these limitations and is more cost effective and less time consuming making it a practical platform for future clinical testing. In this review, we discuss the use of phosphoproteomics in prostate cancer and other clinical cancer tissues for target identification, hypothesis testing, and possible patient stratification. We highlight the majority of studies that have used phosphoproteomics in prostate cancer tissues and cell lines and propose ways forward to apply this approach in basic and clinical research. Overall, the implementation of phosphoproteomics
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Registered trials
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