Evidence map›Paper›PMID 40718833›Full record

ReviewFrontiers in oncology2025

DNA methylation in esophageal cancer: technological advances and early detection clinical applications.

Jiyu Tang, Xiaoming Shi, Chao Song, Wenjing Zhang, Yan Yan, Linchao Dai, Di Wu, Jie Qiu, Jiahuan Liu, Tao Wang and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Integrative systems biology analysis reveals diagnostic and prognostic DNA methylation signatures in esophageal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Review
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.

Jiyu TangState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Xiaoming ShiNanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Chao SongState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Wenjing ZhangState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Yan YanState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Linchao DaiState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Di WuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Jie QiuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Jiahuan LiuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
Tao WangNanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Zuhong LuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) is a malignant tumor with high mortality rates, where early screening and diagnosis are critical for improving patient outcomes. DNA methylation, a key epigenetic modification, has emerged as a significant biomarker for early detection of EC. The advancement in DNA methylation sequencing technologies, including first-generation and next-generation sequencing (NGS), has revolutionized the way we identify and analyze these biomarkers. First-generation sequencing, has been instrumental in identifying specific methylation sites. However, its limited throughput renders it impractical for large-scale screening of multiple samples. In contrast, NGS offers high-throughput capabilities, allowing for the simultaneous analysis of thousands of DNA fragments. NGS significantly enhances the efficiency and accuracy of DNA methylation profiling, permitting genome-wide identification of multiple methylation markers. This approach offers a promising avenue for the enhanced early detection of EC by providing a comprehensive view of the methylation landscape. The integration of NGS into clinical practice is capable of transforming EC screening by offering heightened sensitive and specific approach to identifying patients at risk. As our comprehension of the role of DNA methylation in cancer progression deepens, the development of targeted therapies based on methylation profiles may also become a reality. In conclusion, the evolution of DNA methylation sequencing technologies has unlocked new avenues for the early EC detection. While first-generation sequencing has laid the groundwork for characterizing specific methylation events, NGS has expanded the scope of screening, offering a more robust and scalable solution for identifying early-stage EC.

Indexed as

clinical applicationDNA methylation biomarkersearly detectionesophageal cancertechnology of methylation

Identifiers

PMID40718833
PMCPMC12289497

What OpenQuestion holds

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LicenceCC BY
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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.