| Title |
Clinical implications of distinct metastasizing preferences of different melanoma subtypes
|
|---|---|
| Published in |
European Journal of Dermatology, May 2014
|
| DOI | 10.1684/ejd.2014.2292 |
| Pubmed ID | |
| Authors |
Nicola L. Schoenewolf, Benedetta Belloni, Mathew Simcock, Sabina Tonolla, Pascale Vogt, Ellen Scherrer, David Holzmann, Reinhard Dummer |
| Abstract |
Background: The incidence and mortality of malignant melanoma have been rising during the past decades, the latter being due to the high invasion capacity and the metastatic potential of melanoma cells to distant organs. Objective: We investigated the distribution pattern of melanoma metastases taking into account different clinicopathological subtypes of melanoma. Methods: We studied 310 stage IV (AJCC 2009) melanoma patients retrospectively with regard to potential correlations between frequency and occurrence of metastasis and the genetic background and pathological/clinical melanoma subtypes. For all patients, the time to distant metastasis (TTDM) and the distribution patterns of metastases were analyzed and correlated to the median survival time. Results: Superficially Spreading (SSM) and Nodular melanomas (NMM) spread to the brain more frequently than Acrolentiginous (ALM) and Mucosal (MM) melanomas (p = 0.0012). The preference to affect the skeleton was significantly higher for ALM and MM in comparison to SSM and NMM (p = 0.0049). Lentigo maligna (LMM) tumors showed a significantly lower metastatic spread to distant lymph nodes (p = 0.0159). BRAF mutant versus wildtype tumors showed no significant differences concerning localization of metastasis but patients with BRAF mutant tumors were significantly younger at primary diagnosis and had a significantly shorter stage IV survival (p = 0.0106). Conclusion: This study shows a clear distinction of melanoma subtypes with regard to metastasizing preferences. Further knowledge about melanoma subtype specific characteristics, including molecular markers predictive of homing preferences, may help to understand and manage this heterogeneous disease in terms of prognosis and follow-up procedures. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Bachelor | 4 | 16% |
| Student > Master | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 52% |
| Biochemistry, Genetics and Molecular Biology | 5 | 20% |
| Environmental Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2015.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from European Journal of Dermatology
#344
of 720 outputs
Outputs of similar age
#144,681
of 240,677 outputs
Outputs of similar age from European Journal of Dermatology
#7
of 13 outputs
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