Eigentler, Thomas and Assi, Zeinab and Hassel, Jessica C. and Heinzerling, Lucie and Starz, Hans and Berneburg, Mark and Bauer, Juergen and Garbe, Claus (2016) Which melanoma patient carries a BRAF-mutation? A comparison of predictive models. ONCOTARGET, 7 (24). pp. 36130-36137. ISSN 1949-2553,
Full text not available from this repository. (Request a copy)Abstract
Background: In patients with advanced melanoma the detection of BRAF mutations is considered mandatory before the initiation of an expensive treatment with BRAF/MEK inhibitors. Sometimes it is difficult to perform such an analysis if archival tumor tissue is not available and fresh tissue has to be collected. Results: 514 of 1170 patients (44%) carried a BRAF mutation. All models revealed age and histological subtype of melanoma as the two major predictive variables. Accuracy ranged from 0.65-0.71, being best in the random forest model. Sensitivity ranged 0.76-0.84, again best in the random forest model. Specificity was low in all models ranging 0.51-0.55. Methods: We collected the clinical data and mutational status of 1170 patients with advanced melanoma and established three different predictive models (binary logistic regression, classification and regression trees, and random forest) to forecast the BRAF status. Conclusions: Up to date statistical models are not able to predict BRAF mutations in an acceptable accuracy. The analysis of the mutational status by sequencing or immunohistochemistry must still be considered as standard of care.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; advanced melanoma; BRAF; predictive models; binary logistic regression; classification and regression trees |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Dermatologie und Venerologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 18 Mar 2019 12:01 |
| Last Modified: | 18 Mar 2019 12:01 |
| URI: | https://pred.uni-regensburg.de/id/eprint/2770 |
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