Evidence map›Paper›PMID 31105813›Full record

ArticleAmerican journal of translational research2019

Novel methylation-driven genes identified as prognostic indicators for lung squamous cell carcinoma.

Yin Li, Jie Gu, Fengkai Xu, Qiaoliang Zhu, Di Ge, Chunlai Lu

Abstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Identification ofInternational journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors.

Yin LiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.
Jie GuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.
Fengkai XuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.
Qiaoliang ZhuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.
Di GeDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.
Chunlai LuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer death. DNA methylation plays an essential role in carcinogenesis through regulating gene expression and gene alternative splicing. However, the role of methylation in the tumorigenesis of lung squamous cell carcinoma (SCC) and its association with prognosis remains unclear. Here, we used an integrative approach to evaluate the prognostic value of epigenetic processes in lung SCC by examining the data provided by The Cancer Genome Atlas (TCGA). We found that the mean methylation level was significantly decreased in lung SCC. We also identified methylation-driven genes which were associated with cancer-related pathways. The multivariate Cox regression analysis showed four methylation-driven genes, GCSAM, GPR75, NHLRC1, and TRIM58, could be served as prognostic indicators for lung SCC. Validation on two external GEO datasets showed consistent methylation alterations of the four genes. These findings may have important implications in the understanding of the potential therapeutic method for lung SCC.

Indexed as

lung squamous cell carcinomaMethylationprognostic indicatorsTCGA

Identifiers

PMID31105813
PMCPMC6511754

What OpenQuestion holds

Textmetadata
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.