Literature DB >> 19884546

Melanoma prognostic model using tissue microarrays and genetic algorithms.

Bonnie E Gould Rothberg1, Aaron J Berger, Annette M Molinaro, Antonio Subtil, Michael O Krauthammer, Robert L Camp, William R Bradley, Stephan Ariyan, Harriet M Kluger, David L Rimm.   

Abstract

PURPOSE: As a result of the questionable risk-to-benefit ratio of adjuvant therapies, stage II melanoma is currently managed by observation because available clinicopathologic parameters cannot identify the 20% to 60% of such patients likely to develop metastatic disease. Here, we propose a multimarker molecular prognostic assay that can help triage patients at increased risk of recurrence.
METHODS: Protein expression for 38 candidates relevant to melanoma oncogenesis was evaluated using the automated quantitative analysis (AQUA) method for immunofluorescence-based immunohistochemistry in formalin-fixed, paraffin-embedded specimens from a cohort of 192 primary melanomas collected during 1959 to 1994. The prognostic assay was built using a genetic algorithm and validated on an independent cohort of 246 serial primary melanomas collected from 1997 to 2004.
RESULTS: Multiple iterations of the genetic algorithm yielded a consistent five-marker solution. A favorable prognosis was predicted by ATF2 ln(non-nuclear/nuclear AQUA score ratio) of more than -0.052, p21(WAF1) nuclear compartment AQUA score of more than 12.98, p16(INK4A) ln(non-nuclear/nuclear AQUA score ratio) of < or = -0.083, beta-catenin total AQUA score of more than 38.68, and fibronectin total AQUA score of < or = 57.93. Primary tumors that met at least four of these five conditions were considered a low-risk group, and those that met three or fewer conditions formed a high-risk group (log-rank P < .0001). Multivariable proportional hazards analysis adjusting for clinicopathologic parameters shows that the high-risk group has significantly reduced survival on both the discovery (hazard ratio = 2.84; 95% CI, 1.46 to 5.49; P = .002) and validation (hazard ratio = 2.72; 95% CI, 1.12 to 6.58; P = .027) cohorts.
CONCLUSION: This multimarker prognostic assay, an independent determinant of melanoma survival, might be beneficial in improving the selection of stage II patients for adjuvant therapy.

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Year:  2009        PMID: 19884546      PMCID: PMC2792999          DOI: 10.1200/JCO.2009.22.8239

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  42 in total

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  41 in total

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2.  Proinvasion metastasis drivers in early-stage melanoma are oncogenes.

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Journal:  Cancer Cell       Date:  2011-07-12       Impact factor: 31.743

3.  Inhibition of melanoma cell proliferation by targeting Wnt/β-catenin pathway through Sox4 RNA interference.

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Review 4.  Construction and analysis of multiparameter prognostic models for melanoma outcome.

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Review 9.  Revisiting determinants of prognosis in cutaneous melanoma.

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10.  Marginal and joint distributions of S100, HMB-45, and Melan-A across a large series of cutaneous melanomas.

Authors:  Hollis Viray; William R Bradley; Kurt A Schalper; David L Rimm; Bonnie E Gould Rothberg
Journal:  Arch Pathol Lab Med       Date:  2013-08       Impact factor: 5.534

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