Evidence map›Paper›PMID 36344942›Full record

ArticleBMC cancer2022

High-risk HPV infection-associated hypermethylated genes in oropharyngeal squamous cell carcinomas.

Yoshikuni Inokawa, Masamichi Hayashi, Shahnaz Begum, Maartje G Noordhuis, Daivd Sidransky, Joseph Califano, Wayne Koch, Mariana Brait, William H Westra, Mohammad O Hoque

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

Article in BMC cancer, 2022. 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
0.8field-weighted citation impact, top 27% 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, 4 citations in OpenAlex.

  1. Article
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  4. Integrated analysis ofCell cycle (Georgetown, Tex.) · 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

10 authors at 5 institutions in 2 countries.

Yoshikuni Inokawa *Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Masamichi Hayashi *Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shahnaz Begum *Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Maartje G NoordhuisDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daivd SidranskyDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Joseph CalifanoDivision of Otolaryngology-Head and Neck Surgery, Department of Surgery, University of California San Diego, CA, San Diego, USA.
Wayne KochDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mariana BraitDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
William H WestraDepartment of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mohammad O HoqueDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. mhoque1@jhmi.edu.
Johns Hopkins University · USJohns Hopkins Medicine · USIcahn School of Medicine at Mount Sinai · USNagoya University · JPUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHPV-positive oropharyngeal squamous cell carcinomas (OPSCCs) are sensitive to chemo-radiation therapy and have favorable survival outcomes compared with HPV-negative cancers. These tumors are usually not related to tobacco and alcohol exposure. Therefore, diagnosing HPV-positive OPSCCs for the appropriate disease management is crucial, and no suitable markers are available for detecting early malignancies in HPV-infected tissues. In this study, we attempt to find HPV-specific epigenetic biomarkers for OPSCCs.

methodsA total of 127 surgical samples were analyzed for HPV positivity and promoter methylation of a panel of genes. HPV detection was performed by PCR detection of HPV E6 and E7 viral oncoproteins. In addition, promoter methylation of a total of 8 genes (DAPK, FHIT, RASSF1A, TIMP3, AGTR1, CSGALNACT2, GULP1 and VGF) was analyzed by quantitative-methylation specific PCR (QMSP), and their associations with HPV positivity or RB/p16 expressions were evaluated.

resultsAGTR1 and FHIT were frequently methylated in HPV-positive OPSCC samples with a good area under the curve (AUC over 0.70). In addition, these genes' promoter methylation was significantly associated with p16 positive and RB negative cases, which were the characteristics of OPSCC cases with favorable survival outcomes. Either AGTR1 or FHIT methylated cases were significantly associated with HPV-positive cancers with 92.0% sensitivity (P < 0.001). Also, they had significantly better overall survival (P = 0.047) than both unmethylated cases.

conclusionsA combination of AGTR1 and FHIT methylation demonstrated a suitable detection marker of OPSCCs derived from the HPV-infected field, familiar with p16-positive and RB-negative phenotypes.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsOncogene Proteins, ViralOropharyngeal NeoplasmsPapillomavirus InfectionsAdaptor Proteins, Signal TransducingCyclin-Dependent Kinase Inhibitor p16DNA, ViralHumansPapillomaviridaePapillomavirus E7 ProteinsSquamous Cell Carcinoma of Head and NeckAdaptor Proteins, Signal TransducingCyclin-Dependent Kinase Inhibitor p16DNA, ViralGULP1 protein, humanOncogene Proteins, ViralPapillomavirus E7 ProteinsAGTR1HPVMethylationOropharyngeal SCC

Identifiers

PMID36344942
PMCPMC9641857
OpenAlexW4308639528

What OpenQuestion holds

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LicenceCC BY
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.