Evidence map›Paper›PMID 28106542›Full record

ArticleCancer biomarkers : section A of Disease markers2017

Urinary NID2 and TWIST1 methylation to augment conventional urine cytology for the detection of bladder cancer.

Joseph J Fantony, Thomas A Longo, Ajay Gopalakrishna, Richmond Owusu, Raymond S Lance, Wen-Chi Foo, Brant A Inman, Michael R Abern

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  8. Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
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

8 authors at 4 institutions in 1 country.

Joseph J FantonyDivision of Urology, Duke University Medical Center, Durham, NC, USA.
Thomas A LongoDivision of Urology, Duke University Medical Center, Durham, NC, USA.
Ajay GopalakrishnaDivision of Urology, Duke University Medical Center, Durham, NC, USA.
Richmond OwusuDivision of Urology, Duke University Medical Center, Durham, NC, USA.
Raymond S LanceDivision of Urology, Urology of Virginia, Hampton, VA, USA.
Wen-Chi FooDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Brant A InmanDivision of Urology, Duke University Medical Center, Durham, NC, USA.
Michael R AbernDepartment of Urology, University of Illinois Chicago, Chicago, IL, USA.
Duke University Hospital · USDuke Medical Center · USUniversity of Illinois Chicago · USUrology of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal methylation of urinary TWIST1 and NID2 conferred high sensitivity and specificity for the detection of urothelial carcinoma.

objectiveWe examine the performance of the urine-based TWIST1/NID2 methylation assay with the addition of urine cytology for the detection of urothelial carcinoma. MATERIALS AND

methodsA prospective multi-institutional study was conducted to assess the performance of a methylation assay for patients with hematuria or under surveillance for non-muscle invasive bladder cancer (NMIBC). All patients underwent cystoscopy, a methylation assay, and cytology. Receiver operator characteristic (ROC) curves were constructed for cytology alone, the methylation assay alone, and a combined model. Areas under the curve (AUC) were compared using likelihood ratio tests.

resultsA total of 172 patients were enrolled (37% for hematuria and 63% NMIBC). The AUC for cytology alone with equivocal cytologies positive was 0.704, and improved to 0.773 with the addition of the DNA methylation assay (p < 0.001). When the equivocal cytologies were considered negative, the AUC improved from 0.558 to 0.697 with the addition of the DNA methylation assay (p = 0.003).

conclusionsAddition of a TWIST1/NID2-based DNA methylation assay adds diagnostic value to urine cytology and the model is sensitive to the classification of equivocal cytology.

Indexed as

AgedBiomarkers, TumorCalcium-Binding ProteinsCarcinoma, Transitional CellCell Adhesion MoleculesCystoscopyDNA MethylationFemaleHumansMaleMiddle AgedNuclear ProteinsTwist-Related Protein 1Urinary Bladder NeoplasmsBiomarkers, TumorCalcium-Binding ProteinsCell Adhesion MoleculesNID2 protein, humanNuclear ProteinsTWIST1 protein, humanTwist-Related Protein 1Diagnostic testepigeneticsensitivitysmokingspecificityurothelial carcinoma

Identifiers

PMID28106542
PMCPMC13020635
OpenAlexW2571852747

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.