Evidence map›Paper›PMID 35116105›Full record

ReviewWorld journal of gastrointestinal oncology2022

Gastric cancer: An epigenetic view.

Si-Yuan Tang, Pei-Jun Zhou, Yu Meng, Fu-Rong Zeng, Guang-Tong Deng

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. World journal of gastroenterology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Gastric Cancer in the Era of Epigenetics.International journal of molecular sciences · 2024
    Review
  11. Review
  12. Review
  13. Review
  14. 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

5 authors.

Si-Yuan TangDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Pei-Jun ZhouCancer Research Institute, School of Basic Medicine Science, Central South University, School of Basic Medicine Science, Central South University 410008, Hunan Province, China.
Yu MengDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Fu-Rong ZengDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Guang-Tong DengDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China. dengguangtong@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) poses a serious threat worldwide with unfavorable prognosis mainly due to late diagnosis and limited therapies. Therefore, precise molecular classification and search for potential targets are required for diagnosis and treatment, as GC is complicated and heterogeneous in nature. Accumulating evidence indicates that epigenetics plays a vital role in gastric carcinogenesis and progression, including histone modifications, DNA methylation and non-coding RNAs. Epigenetic biomarkers and drugs are currently under intensive evaluations to ensure efficient clinical utility in GC. In this review, key epigenetic alterations and related functions and mechanisms are summarized in GC. We focus on integration of existing epigenetic findings in GC for the bench-to-bedside translation of some pivotal epigenetic alterations into clinical practice and also describe the vacant field waiting for investigation.

Indexed as

DNA methylationEpigeneticsGastric cancerHistone modificationsNon-coding RNAs

Identifiers

PMID35116105
PMCPMC8790429

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.