Evidence map›Paper›PMID 27671002›Full record

ArticleJournal of gastroenterology2017

A six-CpG panel with DNA methylation biomarkers predicting treatment response of chemoradiation in esophageal squamous cell carcinoma.

Wei-Lun Chang, Wu-Wei Lai, I-Ying Kuo, Chien-Yu Lin, Pei-Jung Lu, Bor-Shyang Sheu, Yi-Ching Wang

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In one paragraph

Article in Journal of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Wei-Lun ChangDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Wu-Wei LaiDepartment of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
I-Ying KuoDepartment of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Chien-Yu LinDepartment of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Pei-Jung LuInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Bor-Shyang SheuDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan. sheubs@mail.ncku.edu.tw.
Yi-Ching WangDepartment of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan. ycw5798@mail.ncku.edu.tw.ORCID http://orcid.org/0000-0002-7694-2067
National Cheng Kung University · TWNational Cheng Kung University Hospital · TWChest Hospital, Ministry of Health and Welfare · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognosis of esophageal squamous cell carcinoma (ESCC) patients remains poor, and the chemoradiotherapy (CRT) applied to ESCC patients often failed. Therefore, development of biomarkers to predict CRT response is immensely important for choosing the best treatment strategy of an individual patient.

methodsThe methylation array and pyrosequencing methylation assay were performed in pre-treatment endoscopic biopsies to identify probes with differential CpG methylation levels between good and poor CRT responders in a cohort of 12 ESCC patients. Receiver operating characteristic curves and multivariate logistic regressions were conducted to build the risk score equation of selected CpG probes in another cohort of 91 ESCC patients to predict CRT response. Kaplan-Meier analysis was used to estimate progression-free survival or time-to-progression of patients predicted with good and poor CRT responses.

resultsNine differentially methylated CpG probes were identified to be associated with CRT response. A risk score equation comprising six CpG probes located in IFNGR2, KCNK4, NOTCH4, NPY, PAX6, and SOX17 genes were built. The risk score was derived from the sum of each probe multiplied by its corresponding coefficient. Such a risk score has a good prediction performance in discriminating poor CRT responders from good responders (AUC: 0.930). Moreover, poor CRT responders predicted by risk score significantly had poorer prognosis in terms of shorter progression-free survival and time-to-progression (p = 0.004-0.008).

conclusionWe established a proof-of-concept CRT response prediction panel consisting of six-CpG methylation biomarkers in identifying ESCC patients who are at high risk of CRT failure and need intensive care.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellChemoradiotherapyCohort StudiesCpG IslandsDisease-Free SurvivalDNA MethylationEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisTreatment OutcomeBiomarkers, TumorChemoradiotherapyCpG methylation biomarkerEndoscopic ultrasonographyEsophageal squamous cell carcinomaPrognosis

Identifiers

PMID27671002
OpenAlexW2526808744

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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.