Evidence map›Paper›PMID 33461589›Full record

ArticleClinical epigenetics2021

Identification of DNA methylation signatures associated with poor outcome in lower-risk Stage, Size, Grade and Necrosis (SSIGN) score clear cell renal cell cancer.

Louis Y El Khoury, Shuang Fu, Ryan A Hlady, Ryan T Wagner, Liguo Wang, Jeanette E Eckel-Passow, Erik P Castle, Melissa L Stanton, R Houston Thompson, Alexander S Parker and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 6 institutions in 2 countries.

Louis Y El Khoury *Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Shuang Fu *Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Ryan A Hlady *Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Ryan T WagnerDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Liguo WangDivision of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Jeanette E Eckel-PassowDivision of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Erik P CastleDepartment of Urology, Mayo Clinic, Phoenix, AZ, USA.
Melissa L StantonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA.
R Houston ThompsonDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Alexander S ParkerOffice of Research Affairs, University of Florida, Jacksonville, FL, USA.
Thai H HoDivision of Hematology and Medical Oncology, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA. ho.thai@mayo.edu.
Keith D RobertsonDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA. robertson.keith@mayo.edu.ORCID 0000-0002-7508-3328
Mayo Clinic · USMayo Clinic in Arizona · USMayo Clinic in Florida · USMayo Clinic Hospital · USUniversity of Florida · USWinnMed · US

Funding

Deciphering the interplay between H3K36 and DNA methylation in renal cancerR01CA224917 · NCI · MAYO CLINIC ROCHESTER · PI HO, THAI HUU, ROBERTSON, KEITH D · 2018 to 2022
$2.9M
NCI NIH HHS R01 CA224917
6 · The paper itself

Abstract

backgroundDespite using prognostic algorithms and standard surveillance guidelines, 17% of patients initially diagnosed with low risk clear cell renal cell carcinoma (ccRCC) ultimately relapse and die of recurrent disease, indicating additional molecular parameters are needed for improved prognosis.

resultsTo address the gap in ccRCC prognostication in the lower risk population, we performed a genome-wide analysis for methylation signatures capable of distinguishing recurrent and non-recurrent ccRCCs within the subgroup classified as 'low risk' by the Mayo Clinic Stage, Size, Grade, and Necrosis score (SSIGN 0-3). This approach revealed that recurrent patients have globally hypermethylated tumors and differ in methylation significantly at 5929 CpGs. Differentially methylated CpGs (DMCpGs) were enriched in regulatory regions and genes modulating cell growth and invasion. A subset of DMCpGs stratified low SSIGN groups into high and low risk of recurrence in independent data sets, indicating that DNA methylation enhances the prognostic power of the SSIGN score.

conclusionsThis study reports a global DNA hypermethylation in tumors of recurrent ccRCC patients. Furthermore, DMCpGs were capable of discriminating between aggressive and less aggressive tumors, in addition to SSIGN score. Therefore, DNA methylation presents itself as a potentially strong biomarker to further improve prognostic power in patients with low risk SSIGN score (0-3).

Indexed as

DNA MethylationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisRisk FactorsBiomarkers, TumorccRCCDNA methylationEpigeneticsKidney cancerPrecision medicinePrognostic markerReduced representation bisulfite sequencing (RRBS)SSIGN score

Identifiers

PMID33461589
PMCPMC7814746
OpenAlexW3125716585

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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.