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Journal of Proteomics
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Protein signatures for survival and recurrence in metastatic melanoma

Authors: William M, Hardesty; Mark C, Kelley; Deming, Mi; Robert L, Low; Richard M, Caprioli;

Protein signatures for survival and recurrence in metastatic melanoma

Abstract

Patients with melanoma metastatic to regional lymph nodes exhibit a range in tumor progression, survival, and treatment. Current approaches to stratify patients with this stage of disease predominantly involve clinical and histological methods. Molecular classification thus far has focused almost exclusively on genetic mutations. In this study, proteomic data from 69 melanoma lymph node metastases and 17 disease free lymph nodes acquired by histology-directed MALDI imaging mass spectrometry were used to classify tumor from control lymph node and to molecularly sub-classify patients with stage III disease. From these data, 12 survival associated protein signals and 3 recurrence associated signals in the acquired mass spectra were combined to generate a multiplex molecular signature to group patients into either poor or favorable groups for recurrence and survival. Proteins represented in the signature include cytochrome c, s100 A6, histone H4, and cleaved forms of thymosin β-4, thymosin β-10, and ubiquitin. In total over 40 protein signals from the tissue were identified.

Keywords

Adult, Aged, 80 and over, Male, Skin Neoplasms, Gene Expression Profiling, Middle Aged, Prognosis, Neoplasm Proteins, Lymphatic Metastasis, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Biomarkers, Tumor, Humans, Female, Neoplasm Recurrence, Local, Melanoma, Aged, Proportional Hazards Models

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    106
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
106
Top 10%
Top 10%
Top 1%
bronze