Evidence map›Paper›PMID 35903675›Full record

ArticleFrontiers in oncology2022

Driver Gene Alterations in Malignant Progression of Gastric Cancer.

Yuanqiang Dong, Ning Song, Jun Wang, Liubin Shi, Ziqiang Zhang, Jianjun Du

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Molecular Profile of Variants inJournal of personalized medicine · 2023
    Article
  8. Novel biomarkers for early detection of gastric cancer.World journal of gastroenterology · 2023
    Review
  9. 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

6 authors.

Yuanqiang DongDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Ning SongDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Jun WangDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Liubin ShiDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Ziqiang ZhangDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Jianjun DuDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of driver genes is of great importance in modern medical research. It is also an essential factor in the development of individualization and has a positive effect on understanding the causes of cancer. Gene mutations are the primary cause of the outcomes of the process of tumorigenesis. Driver genes can be used as therapeutic targets for tumor-specific mutation-dependent overexpression. This study sought to identify mutation-based driver genes in gastric cancer (GC) by applying comprehensive gene expression and copy number analysis. Multiplatform analysis was used to identify four major genomic subtypes of GC. The most prominent cancer-related variations observed in this cohort were

Indexed as

driver genegastric cancerimmunitymutationprognosis

Identifiers

PMID35903675
PMCPMC9315095

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.