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Differentially methylated regions in T cells identify kidney transplant patients at risk for de novo skin cancer

Overview of attention for article published in Clinical Epigenetics, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Differentially methylated regions in T cells identify kidney transplant patients at risk for de novo skin cancer
Published in
Clinical Epigenetics, June 2018
DOI 10.1186/s13148-018-0519-7
Pubmed ID
Authors

Fleur S. Peters, Annemiek M. A. Peeters, Pooja R. Mandaviya, Joyce B. J. van Meurs, Leo J. Hofland, Jacqueline van de Wetering, Michiel G. H. Betjes, Carla C. Baan, Karin Boer

Abstract

Cutaneous squamous cell carcinoma (cSCC) occurs 65-200 times more in immunosuppressed organ transplant patients than in the general population. T cells, which are targeted by the given immunosuppressive drugs, are involved in anti-tumor immune surveillance and are functionally regulated by DNA methylation. Prior to kidney transplantation, we aim to discover differentially methylated regions (DMRs) in T cells involved in de novo post-transplant cSCC development. We matched 27 kidney transplant patients with a future de novo cSCC after transplantation to 27 kidney transplant patients without cSCC and studied genome-wide DNA methylation of T cells prior to transplantation. From 11 out of the 27 cSCC patients, the DNA methylation of T cells after transplantation was also examined to assess stability of the observed differences in DNA methylation. Raw methylation values obtained with the 450k array were confirmed with pyrosequencing. We found 16 DMRs between patients with a future cSCC and those who do not develop this complication after transplantation. The majority of the DMRs were located in regulatory genomic regions such as flanking bivalent transcription start sites and bivalent enhancer regions, and most of the DMRs contained CpG islands. Examples of genes annotated to the DMRs are ZNF577, coding for a zinc-finger protein, and FLOT1, coding for a protein involved in T cell migration. The longitudinal analysis revealed that DNA methylation of 9 DMRs changed significantly after transplantation. DNA methylation of 5 out of 16 DMRs was relatively stable, with a variation in beta-value lower than 0.05 for at least 50% of the CpG sites within that region. This is the first study demonstrating that DNA methylation of T cells from patients with a future de novo post-transplant cSCC is different from patients without cSCC. These results were obtained before transplantation, a clinically relevant time point for cSCC risk assessment. Several DNA methylation profiles remained relatively stable after transplantation, concluding that these are minimally affected by the transplantation and possibly have a lasting effect on post-transplant cSCC development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Researcher 3 9%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Professor > Associate Professor 2 6%
Other 4 12%
Unknown 15 44%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Biochemistry, Genetics and Molecular Biology 4 12%
Psychology 2 6%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 16 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 July 2018.
All research outputs
#5,655,335
of 23,090,520 outputs
Outputs from Clinical Epigenetics
#354
of 1,270 outputs
Outputs of similar age
#96,794
of 328,114 outputs
Outputs of similar age from Clinical Epigenetics
#10
of 29 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 328,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.