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Mendeley readers
Attention Score in Context
| Title |
A robust prognostic gene expression signature for early stage lung adenocarcinoma
|
|---|---|
| Published in |
Biomarker Research, February 2016
|
| DOI | 10.1186/s40364-016-0058-3 |
| Pubmed ID | |
| Authors |
Marcin Krzystanek, Judit Moldvay, David Szüts, Zoltan Szallasi, Aron Charles Eklund |
| Abstract |
Stage I lung adenocarcinoma is usually not treated with adjuvant chemotherapy; however, around half of these patients do not survive 5 years. Therefore, a reliable prognostic biomarker for early stage patients would be critical to identify those most likely to benefit from early additional treatments. Several studies have searched for gene expression prognostic biomarkers for lung adenocarcinoma, but these have not yielded a widely accepted prognosticator. We analyzed gene expression from seven published lung adenocarcinoma cohorts for which we included only stage I and II patients who were not given adjuvant therapy. Seven genes consistently obtained statistical significance in Cox regression for overall survival. The combined signature has a weighted mean hazard ratio of 3.2 in all cohorts and 3.0 (C.I. 1.3-7.4, p < 0.01) in an independent validation cohort and is strongly correlated with previously published signatures of chromosomal instability and cell cycle progression. The new prognostic signature, if validated prospectively, may enable better stratification and treatment of early stage lung cancer patients. |
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 % |
|---|---|---|
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 5 | 22% |
| Student > Bachelor | 4 | 17% |
| Other | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 4 | 17% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Medicine and Dentistry | 5 | 22% |
| Agricultural and Biological Sciences | 4 | 17% |
| Unspecified | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 3 | 13% |
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 26 February 2016.
All research outputs
#18,444,553
of 22,852,911 outputs
Outputs from Biomarker Research
#218
of 314 outputs
Outputs of similar age
#216,384
of 297,903 outputs
Outputs of similar age from Biomarker Research
#4
of 5 outputs
Altmetric has tracked 22,852,911 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 314 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.