| Title |
DNA methylation profiling reveals novel diagnostic biomarkers in renal cell carcinoma
|
|---|---|
| Published in |
BMC Medicine, December 2014
|
| DOI | 10.1186/s12916-014-0235-x |
| Pubmed ID | |
| Authors |
Brittany N Lasseigne, Todd C Burwell, Mohini A Patil, Devin M Absher, James D Brooks, Richard M Myers |
| Abstract |
BackgroundRenal cell carcinoma (RCC) is the tenth most commonly diagnosed cancer in the United States. While it is usually lethal when metastatic, RCC is successfully treated with surgery when tumors are confined to the kidney and have low tumor volume. Because most early stage renal tumors do not result in symptoms, there is a strong need for biomarkers that can be used to detect the presence of the cancer as well as to monitor patients during and after therapy.MethodsWe examined genome-wide DNA methylation alterations in renal cell carcinomas of diverse histologies and benign adjacent kidney tissues from 96 patients.ResultsWe observed widespread methylation differences between tumors and benign adjacent tissues, particularly in immune-, G-protein coupled receptor-, and metabolism-related genes. Additionally, we identified a single panel of DNA methylation biomarkers that reliably distinguishes tumor from benign adjacent tissue in all of the most common kidney cancer histologic subtypes, and a second panel does the same specifically for clear cell renal cell carcinoma tumors. This set of biomarkers were validated independently with excellent performance characteristics in more than 1,000 tissues in The Cancer Genome Atlas clear cell, papillary, and chromophobe renal cell carcinoma datasets.ConclusionsThese DNA methylation profiles provide insights into the etiology of renal cell carcinoma and, most importantly, demonstrate clinically applicable biomarkers for use in early detection of kidney cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Portugal | 1 | 3% |
| Ukraine | 1 | 3% |
| Unknown | 29 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 4 | 13% |
| Other | 3 | 9% |
| Other | 7 | 22% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 31% |
| Medicine and Dentistry | 9 | 28% |
| Agricultural and Biological Sciences | 6 | 19% |
| Psychology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 16% |
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 13 November 2017.
All research outputs
#15,689,396
of 23,314,015 outputs
Outputs from BMC Medicine
#3,118
of 3,508 outputs
Outputs of similar age
#216,740
of 363,719 outputs
Outputs of similar age from BMC Medicine
#65
of 72 outputs
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