Evidence map›Paper›PMID 34526299›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2021

Smoking Methylation Marks for Prediction of Urothelial Cancer Risk.

Chenglong Yu, Kristina M Jordahl, Julie K Bassett, Jihoon Eric Joo, Ee Ming Wong, Maree T Brinkman, Daniel F Schmidt, Damien M Bolton, Enes Makalic, Theodore M Brasky and 10 more

Open access · hybridAbstract readComment
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In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 10 institutions in 3 countries.

Chenglong YuPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Kristina M JordahlDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-5165-5769
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.ORCID 0000-0003-0799-4821
Jihoon Eric JooDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.
Ee Ming WongPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-7288-7865
Maree T BrinkmanCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.ORCID 0000-0002-4069-1219
Daniel F SchmidtCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Damien M BoltonDepartment of Surgery, University of Melbourne and Olivia Newton-John Cancer Centre, Austin Hospital, Melbourne, Victoria, Australia.ORCID 0000-0002-5145-6783
Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Theodore M BraskyDivision of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio.
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California.
Lesley F TinkerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Anthony LonganoDepartment of Anatomical Pathology, Eastern Health, Box Hill Hospital, Box Hill, Victoria, Australia.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Dallas R EnglishCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.ORCID 0000-0001-7828-8188
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-5764-7268
Parveen BhattiCancer Control Research, BC Cancer Research Centre, Vancouver, British Columbia, Canada.ORCID 0000-0003-1709-1781
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-6313-9005
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-4946-9099
Pierre-Antoine DuguéPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia. pierre-antoine.dugue@monash.edu.
The University of Melbourne · AUCancer Council Victoria · AUMonash Health · AUBox Hill Hospital · AUCanadian Centre for Applied Research in Cancer Control · CAFred Hutch Cancer Center · USHuman Longevity (United States) · USOlivia Newton-John Cancer Wellness & Research Centre · AUThe Ohio State University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-reported information may not accurately capture smoking exposure. We aimed to evaluate whether smoking-associated DNA methylation markers improve urothelial cell carcinoma (UCC) risk prediction.

methodsConditional logistic regression was used to assess associations between blood-based methylation and UCC risk using two matched case-control samples: 404 pairs from the Melbourne Collaborative Cohort Study (MCCS) and 440 pairs from the Women's Health Initiative (WHI) cohort. Results were pooled using fixed-effects meta-analysis. We developed methylation-based predictors of UCC and evaluated their prediction accuracy on two replication data sets using the area under the curve (AUC).

resultsThe meta-analysis identified associations (

conclusionsCombination of smoking-associated methylation marks may provide some improvement to UCC risk prediction. Our findings need further evaluation using larger data sets. IMPACT: DNA methylation may be associated with UCC risk beyond traditional smoking assessment and could contribute to some improvements in stratification of UCC risk in the general population.

Indexed as

Carcinoma, Transitional CellCohort StudiesDNA MethylationFemaleHumansProspective StudiesSmoking

Identifiers

PMID34526299
OpenAlexW3199925472

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.