Literature DB >> 21540751

Receiver operating characteristic analysis: calculation for the marker 'melanoma inhibitory activity' in metastatic uveal melanoma patients.

Annemarie Klingenstein1, Ingrid Haritoglou, Markus M Schaumberger, Martin M Nentwich, Rüdiger Hein, Ulrich C Schaller.   

Abstract

The serological marker melanoma inhibitory activity (MIA) has been shown to be significantly higher in the serum of patients suffering from metastatic uveal melanoma than in progression-free patients. The objective of this study was to calculate a meaningful receiver operating characteristic (ROC) curve for MIA based on a large patient collective and to find an appropriate threshold value. MIA tumor marker levels of 503 outpatients suffering from uveal melanoma were evaluated using enzyme-linked immunosorbent assay. Fifty-four patients had confirmed metastases and 449 patients showed no overt metastatic disease at the time the blood sample was taken. ROC analysis was performed and the area under the curve (AUC) was calculated. Metastatic patients showed significantly higher MIA levels (median 11.69 ng/ml) than patients in the group without overt metastatic disease (median 6.97 ng/ml) (the Mann-Whitney test, P<0.001). The AUC was 0.84 (95% confidence interval: 0.76-0.91). The ROC resulting from our study can be applied for test comparison by means of AUC. The AUC value of 0.84 for MIA demonstrates the accurate performance of the test. On the basis of this ROC curve, we propose a MIA threshold value for uveal melanoma patients of 8.3 ng/ml (with a corresponding sensitivity of 82% and specificity of 77%, positive predictive value of 0.30 and negative predictive value of 0.97). In patients with higher MIA serum levels, further diagnostics should be initiated.

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Year:  2011        PMID: 21540751     DOI: 10.1097/CMR.0b013e328347105e

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  5 in total

1.  Circulating tumor cells in melanoma patients.

Authors:  Gary A Clawson; Eric Kimchi; Susan D Patrick; Ping Xin; Ramdane Harouaka; Siyang Zheng; Arthur Berg; Todd Schell; Kevin F Staveley-O'Carroll; Rogerio I Neves; Paul J Mosca; Diane Thiboutot
Journal:  PLoS One       Date:  2012-07-19       Impact factor: 3.240

Review 2.  Proteomics in uveal melanoma.

Authors:  Michael J Heiferman; Vinit B Mahajan; Prithvi Mruthyunjaya
Journal:  Curr Opin Ophthalmol       Date:  2022-01-31       Impact factor: 4.299

Review 3.  Proteomics of uveal melanoma: a minireview.

Authors:  Søren K O Abildgaard; Henrik Vorum
Journal:  J Oncol       Date:  2013-09-03       Impact factor: 4.375

4.  A multiplex immunoassay of serum biomarkers for the detection of uveal melanoma.

Authors:  Jin Song; Shannath L Merbs; Lori J Sokoll; Daniel W Chan; Zhen Zhang
Journal:  Clin Proteomics       Date:  2019-03-05       Impact factor: 3.988

5.  The value of melanoma inhibitory activity and LDH with melanoma patients in a Chinese population.

Authors:  Chujun Li; Jinfang Liu; Lu Jiang; Jun Xu; Anjing Ren; Yu Lin; Gang Yao
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.817

  5 in total

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