Evidence map›Paper›PMID 25472429›Full record

ArticleBMC medicine2014

DNA methylation profiling reveals novel diagnostic biomarkers in renal cell carcinoma.

Brittany N Lasseigne, Todd C Burwell, Mohini A Patil, Devin M Absher, James D Brooks, Richard M Myers

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 42 citations in OpenAlex.

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  13. The Role of DNA Methylation in Renal Cell Carcinoma.Molecular diagnosis & therapy · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Brittany N LasseigneHudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA. blasseigne@hudsonalpha.org.
Todd C BurwellHudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA. tburwell@hudsonalpha.org.
Mohini A PatilDepartment of Urology, Stanford University, 875 Blake Wilbur Dr. Clinic E, Stanford, California, 94305-5118, USA. mpatil07@gmail.com.
Devin M AbsherHudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA. dabsher@hudsonalpha.org.
James D BrooksDepartment of Urology, Stanford University, 875 Blake Wilbur Dr. Clinic E, Stanford, California, 94305-5118, USA. jdbrooks@standord.edu.
Richard M MyersHudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA. rmyers@hudsonalpha.org.
HudsonAlpha Institute for Biotechnology · USStanford University · US

Funding

New Tools for Prostate Cancer Detection and PrognosticationU01CA152737 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D., GAMBHIR, SANJIV S · 2010 to 2015
$2.8M
NCI NIH HHS 1U01CA152737-01NCI NIH HHS U01 CA152737
6 · The paper itself

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.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellDNA MethylationFemaleHumansKidney NeoplasmsMaleMiddle AgedPredictive Value of TestsBiomarkers, Tumor

Identifiers

PMID25472429
PMCPMC4265327
OpenAlexW2069095732

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.