Evidence map›Paper›PMID 34689221›Full record

ArticleJournal of cancer research and clinical oncology2022

Clinical significance of novel DNA methylation biomarkers for renal clear cell carcinoma.

Raimonda Kubiliūtė, Kristina Žukauskaitė, Algirdas Žalimas, Albertas Ulys, Rasa Sabaliauskaitė, Arnas Bakavičius, Arūnas Želvys, Feliksas Jankevičius, Sonata Jarmalaitė

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Biomarkers in renal cell carcinoma and their targeted therapies: a review.Exploration of targeted anti-tumor therapy · 2023
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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

9 authors at 2 institutions in 1 country.

Raimonda KubiliūtėInstitute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Kristina ŽukauskaitėInstitute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Algirdas ŽalimasInstitute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Albertas UlysNational Cancer Institute, Santariskiu 1, LT‑08406, Vilnius, Lithuania.
Rasa SabaliauskaitėNational Cancer Institute, Santariskiu 1, LT‑08406, Vilnius, Lithuania.
Arnas BakavičiusNational Cancer Institute, Santariskiu 1, LT‑08406, Vilnius, Lithuania.
Arūnas ŽelvysVilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Feliksas JankevičiusVilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Sonata JarmalaitėInstitute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania. sonata.jarmalaite@nvi.lt.ORCID http://orcid.org/0000-0003-3719-0891
Vilnius University · LTNational Cancer Institute · LT

Funding

2014-2020 European Union Structural Funds J05-LVPA-K-04-0029Lietuvos Mokslo Taryba 09.03.3-LMT-K-712-15-0214Lietuvos Mokslo Taryba S-MIP-17/54
6 · The paper itself

Abstract

objectiveClear cell renal cell carcinoma (ccRCC) is the most common type of kidney tumor characterized by the highest mortality rate of the genitourinary cancers, and, therefore, new diagnostic and/or prognostic biomarkers are urgently needed.

methodsBased on genome-wide DNA methylation profiling in 11 pairs of ccRCC and non-cancerous renal tissues (NRT), the methylation at regulatory regions of ZNF677, FBN2, PCDH8, TFAP2B, TAC1, and FLRT2 was analyzed in 168 renal tissues and 307 urine samples using qualitative and quantitative methylation-specific PCR (MSP).

resultsSignificantly higher methylation frequencies for all genes were found in ccRCC tissues compared to NRT (33-60% vs. 0-11%). The best diagnostic performance demonstrated a panel of ZNF677, FBN2, PCDH8, TFAP2B & TAC1 with 82% sensitivity and 96% specificity. Hypermethylation of ZNF677 and PCDH8 in the tissue samples was significantly related to numerous adverse clinicopathologic parameters. For the urine-based ccRCC detection, the highest diagnostic power (AUC = 0.78) was observed for a panel of ZNF677 & PCDH8 (with or without FBN2 or FLRT2) with 69-78% sensitivity and 69-80% specificity, albeit with lower values in the validation cohort. Besides, methylation of PCDH8 was significantly related to higher tumor stage and fat invasion in the study and validation cohorts. Moreover, PCDH8 was strongly predictive for OS (HR, 5.7; 95% CI 1.16-28.12), and its prognostic power considerably increased in combination with ZNF677 (HR, 12.5; 95% CI 1.47-105.58).

conclusionIn summary, our study revealed novel, potentially promising DNA methylation biomarkers of ccRCC with the possibility to be applied for non-invasive urine-based ccRCC detection and follow-up.

Indexed as

DNA MethylationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellCase-Control StudiesCohort StudiesFemaleGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkers, TumorClear cell renal cell carcinomaDiagnostic biomarkersDNA methylationNon-invasive biomarkersPrognostic biomarkers

Identifiers

PMID34689221
PMCPMC11800858
OpenAlexW3210619582

What OpenQuestion holds

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Registered trials

None linked

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.