2017
DOI: 10.1007/s10039-017-0339-6
|View full text |Cite
|
Sign up to set email alerts
|

Entitäten der Weichteilsarkome

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 26 publications
0
6
0
Order By: Relevance
“…They can roughly be subdivided into two groups: entities with single, well-characterized driver mutations and sarcomas with a complex genotype (Petersen 2017).…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…They can roughly be subdivided into two groups: entities with single, well-characterized driver mutations and sarcomas with a complex genotype (Petersen 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Worth noting is that trauma, whether etiologically related to a tumor or proven to be indulged in tumor-emergence by causing specific genetic alterations, should be regarded as more than just a random co-incidence. The emergence of mutations, for example, may be favored in the proliferative state that occurs within fibroblasts in the setting of a trauma (Petersen 2017).…”
Section: Environmental Factorsmentioning
confidence: 99%
See 1 more Smart Citation
“…Whole-genome methylation analysis combined with bioinformatical analysis has recently been shown to be able to classify more than 100 different brain tumor subtypes [12]. In a similar manner, this technique is able to correctly classify up to 100 rare soft tissue tumor entities [13,14]. In addition, this technique is helpful in identifying carcinomas of unknown primary sites [53].…”
Section: Analytical Tools In Pathway Pathology-whole-genome Analysismentioning
confidence: 98%
“…Recently, methylome profiling was used to identify more than 100 rare brain tumor subtypes which are difficult to classify by utilizing non-specialty pathologists [12]. The same methodology is also able to classify soft tissue tumors [13,14].…”
Section: Big Data In Disease Classification Predictive Pathology and Precision Medicinementioning
confidence: 99%