↓ Skip to main content

The impact of melanoma genetics on treatment response and resistance in clinical and experimental studies

Overview of attention for article published in Cancer and Metastasis Reviews, February 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
51 Mendeley
Title
The impact of melanoma genetics on treatment response and resistance in clinical and experimental studies
Published in
Cancer and Metastasis Reviews, February 2017
DOI 10.1007/s10555-017-9657-1
Pubmed ID
Authors

M. Kunz, M. Hölzel

Abstract

Recent attempts to characterize the melanoma mutational landscape using high-throughput sequencing technologies have identified new genes and pathways involved in the molecular pathogenesis of melanoma. Apart from mutated BRAF, NRAS, and KIT, a series of new recurrently mutated candidate genes with impact on signaling pathways have been identified such as NF1, PTEN, IDH1, RAC1, ARID2, and TP53. Under targeted treatment using BRAF and MEK1/2 inhibitors either alone or in combination, a majority of patients experience recurrences, which are due to different genetic mechanisms such as gene amplifications of BRAF or NRAS, MEK1/2 and PI3K mutations. In principle, resistance mechanisms converge on two signaling pathways, MAPK and PI3K-AKT-mTOR pathways. Resistance may be due to small subsets of resistant cells within a heterogeneous tumor mass not identified by sequencing of the bulk tumor. Future sequencing studies addressing tumor heterogeneity, e.g., by using single-cell sequencing technology, will most likely improve this situation. Gene expression patterns of metastatic lesions were also shown to predict treatment response, e.g., a MITF-low/NF-κB-high melanoma phenotype is resistant against classical targeted therapies. Finally, more recent treatment approaches using checkpoint inhibitors directed against PD-1 and CTLA-4 are very effective in melanoma and other tumor entities. Here, the mutational and neoantigen load of melanoma lesions may help to predict treatment response. Taken together, the new sequencing, molecular, and bioinformatic technologies exploiting the melanoma genome for treatment decisions have significantly improved our understanding of melanoma pathogenesis, treatment response, and resistance for either targeted treatment or immune checkpoint blockade.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Master 8 16%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Student > Ph. D. Student 3 6%
Other 6 12%
Unknown 14 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 8 16%
Medicine and Dentistry 8 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Immunology and Microbiology 2 4%
Other 3 6%
Unknown 15 29%
Attention Score in Context

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 25 February 2017.
All research outputs
#18,535,896
of 22,957,478 outputs
Outputs from Cancer and Metastasis Reviews
#676
of 811 outputs
Outputs of similar age
#235,479
of 307,011 outputs
Outputs of similar age from Cancer and Metastasis Reviews
#6
of 8 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 811 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.