ArticlePigment cell & melanoma research2014
Protein signatures correspond to survival outcomes of AJCC stage III melanoma patients.
Article in Pigment cell & melanoma research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical data.GigaScience · 2022Article
- Prognostic and Predictive Biomarkers in Stage III Melanoma: Current Insights and Clinical Implications.International journal of molecular sciences · 2021Review
- Article
- Use of extracellular vesicles from lymphatic drainage as surrogate markers of melanoma progression andThe Journal of experimental medicine · 2019Article
- Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data.Scientific reports · 2019Article
- Liquid biomarkers in melanoma: detection and discovery.Molecular cancer · 2018Review
- Article
- Germline determinants of clinical outcome of cutaneous melanoma.Pigment cell & melanoma research · 2016Review
- Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Outcomes for melanoma patients with stage III disease differ widely even within the same subcategory. Molecular signatures that more accurately predict prognosis are needed to stratify patients according to risk. Proteomic analyses were used to identify differentially abundant proteins in extracts of surgically excised samples from patients with stage IIIc melanoma lymph node metastases. Analysis of samples from patients with poor (n = 14, <1 yr) and good (n = 19, >4 yr) survival outcomes identified 84 proteins that were differentially abundant between prognostic groups. Subsequent selected reaction monitoring analysis verified 21 proteins as potential biomarkers for survival. Poor prognosis patients are characterized by increased levels of proteins involved in protein metabolism, nucleic acid metabolism, angiogenesis, deregulation of cellular energetics and methylation processes, and decreased levels of proteins involved in apoptosis and immune response. These proteins are able to classify stage IIIc patients into prognostic subgroups (P < 0.02). This is the first report of potential prognostic markers from stage III melanoma using proteomic analyses. Validation of these protein markers in larger patient cohorts should define protein signatures that enable better stratification of stage III melanoma patients.
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Registered trials
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