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An expression analysis of markers of radiation-induced skin fibrosis and angiogenesis in wound healing disorders of the head and neck

Overview of attention for article published in Radiation Oncology, September 2015
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Title
An expression analysis of markers of radiation-induced skin fibrosis and angiogenesis in wound healing disorders of the head and neck
Published in
Radiation Oncology, September 2015
DOI 10.1186/s13014-015-0508-3
Pubmed ID
Authors

Steffen Koerdt, Nils H. Rohleder, Niklas Rommel, Christopher Nobis, Mechthild Stoeckelhuber, Steffi Pigorsch, Marciana-Nona Duma, Klaus-Dietrich Wolff, Marco R. Kesting

Abstract

Radiation-induced fibrosis (RIF) is one of the severe long-term side effects of radiation therapy (RT) with a crucial impact on the development of postoperative wound healing disorders (WHD). The grades of fibrosis vary between mild to severe depending on individual radiosensitivity. In this study, we have investigated the molecular pathways that influence RIF and have correlated data from immunohistochemistry (IHC) for von -Willebrand Factor (vWF) and from Real-Time Polymerase Chain Reaction (RT-PCR) concerning markers such as Transforming Growth Factor (TGF)-β 1, and vWF, with clinical data concerning the occurrence of WHD during follow-up. Expression profiles of the genes encoding TGF-β 1, vWF, and α-procollagen (PC) were analyzed, by RT-PCR, in specimens from patients with (n = 20; 25.6 %) and without (n = 58; 74.4 %) a history of previous RT to the head and neck. Moreover, IHC against vWF was performed. Clinical data on the occurrence of cervical WHDs were analyzed and correlated. A statistically significant increase in the expression profiles of α-PC and TGF-β 1 was observed in previously irradiated skin samples (occurrence of RT >91 days preoperatively). vWF showed a statistically significant increase in non-irradiated tissue. Moreover, analysis of expression profiles in patients with and without WHDs during follow-up was performed. IHC showed a reduced amount of vessels and structural changes in epidermal tissue post-RT. The expression of markers of fibrosis and angiogenesis was analyzed in order to gain insight into molecular pathways that account for structural changes in irradiated skin and that eventually lead to WHDs. The results are congruent with reports from the literature and are a possible starting point for further research, as anti-TGF-β 1 treatment, for example, could represent new therapeutic opportunities in the management of previously irradiated patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 12%
Student > Bachelor 4 12%
Other 3 9%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 2 6%
Other 3 9%
Unknown 14 42%
Readers by discipline Count As %
Medicine and Dentistry 11 33%
Engineering 2 6%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 15 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 September 2015.
All research outputs
#14,825,907
of 22,829,083 outputs
Outputs from Radiation Oncology
#904
of 2,057 outputs
Outputs of similar age
#151,420
of 274,417 outputs
Outputs of similar age from Radiation Oncology
#32
of 59 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,057 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 49th percentile – i.e., 49% 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 274,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.