You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival
|
|---|---|
| Published in |
Clinical Epigenetics, February 2017
|
| DOI | 10.1186/s13148-017-0316-8 |
| Pubmed ID | |
| Authors |
John K. Wiencke, Devin C. Koestler, Lucas A. Salas, Joseph L. Wiemels, Ritu P. Roy, Helen M. Hansen, Terri Rice, Lucie S. McCoy, Paige M. Bracci, Annette M. Molinaro, Karl T. Kelsey, Margaret R. Wrensch, Brock C. Christensen |
| Abstract |
Differentially methylated regions (DMRs) within DNA isolated from whole blood can be used to estimate the proportions of circulating leukocyte subtypes. We use the term "immunomethylomics" to describe the application of these immune lineage DMRs to studying leukocyte profiles. Here, we applied this approach to peripheral blood DNA from 72 glioma patients with molecularly defined brain tumors, representing common patient groups with defined characteristic survival times and risk factors. We first estimated the proportions of leukocyte subtypes in samples using deconvolution algorithms with reference DMR libraries from isolated leukocyte populations and Illumina 450K DNA methylation data. Then, we calculated the neutrophil to lymphocyte ratio (NLR) using methylation-derived cell composition estimates (mdNLR). The NLR is considered an indicator of immunosuppressive cells in cancer patients. Elevated mdNLR scores were observed in glioma patients compared to mdNLR values of published controls. Significantly decreased survival times were associated with mdNLR ≥ 4.0 in Cox proportional hazards models adjusted for age, gender, tumor grade, and molecular subtype (HR 2.02, 95% CI, 1.11-3.69). We also identified five myeloid-related CpGs that were highly correlated with the mdNLR (adjusted R(2) ≥ 0.80). Each of the five myeloid CpG loci was associated with survival when adjusted for the above covariates and offer a simplified approach for utilizing fresh or archived peripheral blood samples for interrogating a very small number of methylation markers to estimate myeloid immune influences in glioma survival. The mdNLR (based on DNA methylation) is a novel candidate methylation biomarker that represents immunosuppressive myeloid cells within the blood of glioma patients with potential application in clinical trials and future epidemiologic studies of glioma risk and survival. |
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 % |
|---|---|---|
| United States | 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Student > Postgraduate | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 17 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 29% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Neuroscience | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Arts and Humanities | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 25 | 38% |
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 02 February 2017.
All research outputs
#20,400,885
of 22,950,943 outputs
Outputs from Clinical Epigenetics
#1,117
of 1,260 outputs
Outputs of similar age
#356,014
of 420,304 outputs
Outputs of similar age from Clinical Epigenetics
#17
of 21 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 1st percentile – i.e., 1% 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 420,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.