LC/MS-Based Quantitative Proteomic Analysis of Paraffin-Embedded Archival Melanomas Reveals Potential Proteomic Biomarkers Associated with Metastasis
2009

Proteomic Analysis of Melanomas Identifies Biomarkers for Metastasis

Sample size: 24 publication Evidence: moderate

Author Information

Author(s): Huang Sharon K., Darfler Marlene M., Nicholl Michael B., You Jinsam, Bemis Kerry G., Tegeler Tony J., Wang Mu, Wery Jean-Pierre, Chong Kelly K., Nguyen Linhda, Scolyer Richard A., Hoon Dave S. B.

Primary Institution: John Wayne Cancer Institute at Saint John's Health Center

Hypothesis

To identify potential biomarkers associated with melanoma progression and metastasis through proteomic analysis.

Conclusion

The study identified several proteins that are differentially expressed in metastatic melanomas compared to primary melanomas, suggesting their potential as biomarkers for tumor progression.

Supporting Evidence

  • The study identified 120 significant changes in protein levels between metastatic and primary melanomas.
  • Over 1500 proteins were identified in the tissue lysates with a peptide ID confidence level of >75%.
  • The methodology successfully extracted proteins from microdissected FFPE tissues for analysis.

Takeaway

Researchers looked at melanoma samples to find proteins that change when the cancer spreads, helping to identify markers that could predict how the disease progresses.

Methodology

The study used LC/MS-based label-free protein quantification to analyze proteins from microdissected formalin-fixed paraffin-embedded melanoma tissues.

Potential Biases

Potential biases may arise from the variability in tissue preparation and the retrospective analysis of archived samples.

Limitations

The study's findings may be limited by the retrospective nature of the tissue samples and the challenges in protein extraction from FFPE tissues.

Participant Demographics

The study analyzed archival melanoma tissues without specific demographic details provided.

Statistical Information

P-Value

q<0.05

Statistical Significance

q<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0004430

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