Evidence map›Paper›PMID 29123423›Full record

ArticleCancer management and research2017

High expression of eIF3d is associated with poor prognosis in patients with gastric cancer.

Jiaqi He, Xuefei Wang, Jianhua Cai, Wei Wang, Xinyu Qin

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Surface Engineering of MXene and Functional Fullerenols for Cancer Biomarker 'eIFLangmuir : the ACS journal of surfaces and colloids · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The role of PI3K/AKT signaling pathway in gallbladder carcinoma.American journal of translational research · 2022
    Review
  7. Article
  8. Role of RONS and eIFs in Cancer Progression.Oxidative medicine and cellular longevity · 2021
    Review
  9. Article
  10. Article
  11. Overexpression ofDisease markers · 2019
    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 at 3 institutions in 1 country.

Jiaqi HeDepartment of General Surgery, Huadong Hospital.
Xuefei WangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Jianhua CaiDepartment of General Surgery, Huadong Hospital.
Wei WangDepartment of General Surgery, Huadong Hospital.
Xinyu QinDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Huadong Hospital · CNSun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEukaryotic initiation factor 3 subunit d (eIF3d) is the largest subunit of eIF3, which is shown to promote protein synthesis in cancer cells. Increased expression of eIF3d has been shown in some types of cancers, but has not been previously studied in gastric cancer (GC). Thus, the aim of this study was to analyze eIF3d expression in GC. PATIENTS AND

methodsExpression of eIF3d was detected by immunohistochemistry in GC tissues and adjacent noncancerous (ANC) tissues. Samples were obtained from 210 patients with GC who had received curative gastrectomy. Clinicopathological features and survival rate were also analyzed.

resultsExpression rates of eIF3d in GC and ANC were 45.2% and 21.0%, respectively. High expression of eIF3d protein was significantly related to tumor stage, as determined by lymph node metastasis and depth of invasion (

conclusionExpression of eIF3d was upregulated in GC. High expression of eIF3d was determined as an independent poor prognostic factor in GC. It is suggested that eIF3d could be a good biomarker in GC.

Indexed as

biomarkereIF3deukaryotic translation initiation factors 3dgastric cancerprognosis

Identifiers

PMID29123423
PMCPMC5661832
OpenAlexW2765793516

What OpenQuestion holds

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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.