Evidence map›Paper›PMID 32012407›Full record

ArticleCancer science2020

Establishment of epigenetic markers to predict irradiation efficacy against oropharyngeal cancer.

Tomoya Kurokawa, Takuya Nakagawa, Keisuke Matsusaka, Masaki Fukuyo, Masato Mima, Kiyoshi Misawa, Bahityar Rahmutulla, Jun-Ichiro Ikeda, Toyoyuki Hanazawa, Yoshitaka Okamoto and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  7. Radiotherapy resistance: identifying universal biomarkers for various human cancers.Journal of cancer research and clinical oncology · 2022
    Review
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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

11 authors at 3 institutions in 1 country.

Tomoya KurokawaDepartment of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takuya NakagawaDepartment of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Keisuke MatsusakaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masaki FukuyoDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masato MimaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Kiyoshi MisawaDepartment of Otolaryngology/Head and Neck Surgery, Hamamatsu University School of Medicine, Chiba, Japan.
Bahityar RahmutullaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Jun-Ichiro IkedaDepartment of Pathology, Chiba University Hospital, Chiba, Japan.
Toyoyuki HanazawaDepartment of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yoshitaka OkamotoDepartment of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.ORCID https://orcid.org/0000-0001-9352-1582
Atsushi KanedaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.ORCID https://orcid.org/0000-0002-6980-5515
Chiba University · JPChiba University Hospital · JPHamamatsu University School of Medicine · JP

Funding

Japan Agency for Medical Research and Development 17ck0106263h0001Japan Society for the Promotion of Science 19K18722
6 · The paper itself

Abstract

Irradiation, or chemoradiotherapy, is a curative treatment for oropharyngeal squamous cell carcinoma (OPSCC). Its invasiveness, however, can often negate its efficacy. Therefore, developing methods to predict which patients would benefit from irradiation is urgent. Promoter DNA hypermethylation was recently reported to correlate with favorable OPSCC prognosis. It is still unclear, however, whether there is an association between promoter DNA methylation and response to irradiation. In this study, we analyzed DNA methylation in the specimens from 40 OPSCC patients who had undergone irradiation, using the Infinium assay. Our results showed significant correlation between high levels of promoter DNA methylation and better response to treatment (P < 0.01). We used the 10 most differentially-methylated genes between responders and non-responders to develop a panel of predictive markers for efficacy. Our panel had high sensitivity, specificity and accuracy (92%, 93% and 93%, respectively). We conducted pyrosequencing to quantitatively validate the methylation levels of 8 of the 10 marker genes (ROBO1, ULK4P3, MYOD1, LBX1, CACNA1A, IRX4, DPYSL3 and ELAVL2) obtained by Infinium. The validation by pyrosequencing showed that these 8 genes had a high prediction performance for the training set of 40 specimens and for a validation set of 35 OPSCC specimens, showing 96% sensitivity, 89% specificity and 94% accuracy. Methylation of these markers correlated significantly with better progression-free and overall survival rates, regardless of human papillomavirus status. These results indicate that increased DNA methylation is associated with better responses to irradiation therapy and that DNA methylation can help establish efficacy prediction markers in OPSCC.

Indexed as

AgedBiomarkers, TumorDNA MethylationEpigenomicsFemaleHumansMaleMiddle AgedOropharyngeal NeoplasmsPapillomaviridaePapillomavirus InfectionsPromoter Regions, GeneticBiomarkers, TumorbiomarkerDNA methylationirradiationoropharyngeal squamous cell carcinomaprecision medicine

Identifiers

PMID32012407
PMCPMC7156782
OpenAlexW3005465970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.