Evidence map›Paper›PMID 38680109›Full record

ArticleInternational journal of cancer2024

Methylation markers for anal cancer screening: A repeated cross-sectional analysis of people living with HIV, 2015-2016.

Anjali Vasavada, Helen C Stankiewicz Karita, John Lin, Jeffrey Schouten, Stephen E Hawes, Ruanne V Barnabas, Judith Wasserheit, Qinghua Feng, Rachel L Winer

Abstract read
In one paragraph

Article in International journal of cancer, 2024. 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
–field-weighted citation impact
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.

  1. International journal of molecular sciences · 2025
    Article
  2. The Role of Human Papillomavirus E6 Oncoprotein as a Biomarker in Anal Cancer Screening in Persons Living with HIV.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  3. Article
  4. Article
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.

Anjali VasavadaDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
Helen C Stankiewicz KaritaDivision of Allergy and Infectious Diseases, University of Washington School of Medicine, Seattle, Washington, USA.
John LinDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
Jeffrey SchoutenDivision of Allergy and Infectious Diseases, University of Washington School of Medicine, Seattle, Washington, USA.
Stephen E HawesDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
Ruanne V BarnabasDivision of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Judith WasserheitDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
Qinghua FengFidaLab, Seattle, Washington, USA.
Rachel L WinerDepartment of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.ORCID 0000-0002-8119-5107

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI CONNIE L CELUM · 1988 to 2026
$104.9M
National Institute of Allergy and Infectious Diseases (NIAID) P30AI027757NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

People living with HIV (PLWH) are at highest risk of anal cancer and will benefit from optimized screening for early disease detection. We compared host DNA methylation markers in high-grade squamous intraepithelial lesions (HSIL) versus samples negative for intraepithelial lesions (NILM) or low-grade intraepithelial lesions (LSIL) in PLWH. We recruited PLWH identifying as male aged ≥18 years undergoing high-resolution anoscopy (HRA) in Seattle, Washington, 2015-2016. Anal brush samples were collected for HPV detection, genotyping, and pyrosequencing methylation (host genes ASCL1, PAX1, FMN2, and ATP10A); clinical data were abstracted from medical records. We assessed associations between methylation and presence and extent of HSIL using generalized estimating equation logistic regression, adjusting for age, CD4 count and HIV viral load. Marker panels using HPV DNA and methylation were also evaluated to predict prevalent HSIL. We analyzed 125 samples from 85 participants (mean age 50.1; standard deviation 11.0 years). ASCL1 (adjusted odds ratio [aOR] per 1 unit increase mean percent methylation: 1.07, 95% CI: 1.01-1.13) and FMN2 (aOR per 1 unit increase mean percent methylation: 1.14, 95% CI: 1.08-1.20) methylation were significantly associated with HSIL versus NILM/LSIL. ASCL1 (aOR: 1.06, 95% CI: 1.01-1.11) and FMN2 (aOR: 1.13, 95% CI: 1.08-1.17) methylation were positively associated with increasing HSIL extent. A panel combining methylation (ASCL1 and FMN2) and HPV DNA (HPV16, HPV18, and HPV31) demonstrated best balance of sensitivity (78.2%) and specificity (73.9%) for HSIL detection compared with methylation or HPV alone. Increasing levels of DNA methylation of ASCL1 and FMN2 were positively associated with HSIL detection in PLWH. Host gene methylation testing shows promise for HSIL screening and triage.

Indexed as

Anus NeoplasmsDNA MethylationEarly Detection of CancerHIV InfectionsPapillomavirus InfectionsAdultAgedBasic Helix-Loop-Helix ProteinsBiomarkers, TumorCross-Sectional StudiesDNA, ViralHumansMaleMiddle AgedPaired Box Transcription FactorsSquamous Intraepithelial LesionsASCL1 protein, humanBasic Helix-Loop-Helix ProteinsBiomarkers, TumorDNA, ViralPaired Box Transcription FactorsPAX1 transcription factoranal canceranal high‐grade squamous intraepithelial lesionHIVhost cell DNA methylationhuman papillomavirus

Identifiers

PMID38680109
PMCPMC11250920

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.