Evidence map›Paper›PMID 35241698›Full record

ArticleScientific reports2022

Gene methylation of CADM1 and MAL identified as a biomarker of high grade anal intraepithelial neoplasia.

Samuel Phillips, Kahli Cassells, Suzanne M Garland, Dorothy A Machalek, Jennifer M Roberts, David J Templeton, Fengyi Jin, I Mary Poynten, Richard J Hillman, Andrew E Grulich and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 39 citations in OpenAlex.

  1. Observational
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  6. Performance ofBMJ open · 2024
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  11. [Anogenital warts-An update].Dermatologie (Heidelberg, Germany) · 2024
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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

15 authors at 7 institutions in 1 country.

Samuel Phillips *Department of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia. sam.phillips@mcri.edu.au.
Kahli Cassells *Department of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Suzanne M GarlandDepartment of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Dorothy A MachalekCentre Women's Infectious Diseases Research, The Royal Women's Hospital, Parkville, VIC, 3052, Australia.
Jennifer M RobertsDouglass Hanly Moir Pathology, Macquarie Park, NSW, 2113, Australia.
David J TempletonHIV Epidemiology and Prevention Program, The Kirby Institute, University of New South Wales, Kensington, NSW, 2052, Australia.
Fengyi JinHIV Epidemiology and Prevention Program, The Kirby Institute, University of New South Wales, Kensington, NSW, 2052, Australia.
I Mary PoyntenHIV Epidemiology and Prevention Program, The Kirby Institute, University of New South Wales, Kensington, NSW, 2052, Australia.
Richard J HillmanHIV Epidemiology and Prevention Program, The Kirby Institute, University of New South Wales, Kensington, NSW, 2052, Australia.
Andrew E GrulichHIV Epidemiology and Prevention Program, The Kirby Institute, University of New South Wales, Kensington, NSW, 2052, Australia.
Gerald L MurrayDepartment of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Sepehr N TabriziDepartment of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Monica MolanoCentre Women's Infectious Diseases Research, The Royal Women's Hospital, Parkville, VIC, 3052, Australia.
Alyssa M CornallDepartment of Obstetrics and Gynecology, University of Melbourne, Parkville, VIC, 3052, Australia.
SPANC team
Royal Women's Hospital · AUUniversity of Melbourne · AUUNSW Sydney · AUDouglass Hanly Moir Pathology · AUMurdoch Children's Research Institute · AUSt Vincent's Hospital · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) is detected in up to 96% of anal squamous cell cancers, where screening programs needed. However, the best methodology is still undetermined. Host DNA methylation markers CADM1, MAL and miR124 have been identified in cervical disease, but not anal disease. Anal swabs varying by disease grade were assessed for DNA methylation of CADM1, MAL and miR124-2. Each marker was compared across disease grades, stratified by HPV and HIV status. Receiver operating characteristic curves identified the predictive value of significant gene candidates. CADM1 methylation was significantly higher in high-grade squamous intraepithelial lesions (HSIL) compared with low-grade (LSIL) (p = 0.005) or normal (p < 0.001) samples with 67.2% correctly identified as HSIL. MAL methylation was significantly (p = 0.002) increased in HSIL compared with LSIL in HIV positive participants with 79.8% correctly indicated as HSIL. Gene miR124-2, showed no difference between disease grades. Biomarkers with established diagnostic value in cervical disease have limited utility in the prediction of anal disease, with CADM1 identified as a marker with screening potential in a gay and bisexual men (GBM) population and MAL in HIV positive GBM population. New markers specific to the anal mucosa are required to improve triage of high-risk individuals.

Indexed as

AlphapapillomavirusAnus NeoplasmsHIV InfectionsPapillomavirus InfectionsSquamous Intraepithelial LesionsUterine Cervical NeoplasmsBiomarkersCell Adhesion Molecule-1DNA MethylationFemaleHumansMaleMyelin and Lymphocyte-Associated Proteolipid ProteinsPapillomaviridaeBiomarkersCADM1 protein, humanCell Adhesion Molecule-1Myelin and Lymphocyte-Associated Proteolipid Proteins

Identifiers

PMID35241698
PMCPMC8894372
OpenAlexW4214902505

What OpenQuestion holds

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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.