Evidence map›Paper›PMID 31266459›Full record

SynthesisBMC cancer2019

Prognostic value of DNA aneuploidy in gastric cancer: a meta-analysis of 3449 cases.

Jing Xu, Ruolin Zhu, Lulu Fan, Shangqing Ge, Wei Wei, Xiaoqiu Li, Liangshan Da, Zhenya Jia, Zhiyan Zhao, Jie Ning and 4 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Investigating the Consequences of Aneuploidy in Cancer and Normal Tissue.Advances in experimental medicine and biology · 2026
    Review
  3. Ploidy status analysis in small cell lung cancer cells and its use in cytopathological diagnosis.International journal of clinical and experimental pathology · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. 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

14 authors at 1 institution in 1 country.

Jing XuDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Ruolin ZhuThe Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Lulu FanDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Shangqing GeDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Wei WeiDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Xiaoqiu LiDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Liangshan DaDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Zhenya JiaDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Zhiyan ZhaoDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Jie NingDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Jie DaDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Wanren PengDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Kangsheng GuDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China.
Guoping SunDepartment of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230000, Anhui Province, China. sungp@ahmu.edu.cn.ORCID http://orcid.org/0000-0002-4325-900X
Anhui Medical University · CN

Funding

the national natural science fundation of china 81572430 and 81872047
6 · The paper itself

Abstract

backgroundDNA aneuploidy has attracted growing interest in clinical practice. Nevertheless, its prognostic value in gastric cancer patients remains controversial. This meta-analysis aims to explore the impact of DNA ploidy status on the survival of gastric cancer patients.

methodsWe used PubMed and Web of Science databases to retrieve relevant articles. The correlation between DNA aneuploidy and the clinicopathological features of gastric cancer, such as stage, depth of invasion (T), lymph node metastasis (N), distant metastasis (M), differentiation (G), tumor types (Lauren classification) and overall survival (OS) were evaluated. Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were collected carefully from each article OS was presented with HRs. The relationships between DNA aneuploidy and each characteristic were analyzed using risk ratios (RR) and a 95% confidence interval (CI). Significance was established using P < 0.05. Funnel plot was conducted to detect the publication bias.

resultsAfter careful selection, 25 studies involving 3449 cases were eligible for further analyses. Patients with DNA aneuploidy were considered at risk of more advanced stages (stage III-IV vs. stages I-II, RR = 1.23; 95% CI, 1.07 to 1.42; P = 0.003), lymph node metastasis (N+ vs. N-: RR = 1.43; 95% CI, 1.12 to 1.82, P = 0.004), and intestinal tumor type (intestinal vs. diffuse: RR = 1.45; 95% CI, 1.02 to 2.06; P = 0.04). And an adverse relation was observed between DNA aneuploidy and tumor differentiation. While no association was found between DNA aneuploidy and distant metastasis (P = 0.42) nor depth of tumor invasion (P = 0.86). Regarding overall survival, aneuploid tumors were associated with worse survival in all patients (P < 0.00001).

conclusionsWe found that DNA aneuploidy was an important predictor for gastric cancer patients, and should be used as a potential biomarker for further classification in gastric cancer.

Indexed as

AneuploidyConfidence IntervalsDNA, NeoplasmHumansLymphatic MetastasisNeoplasm InvasivenessNeoplasm StagingPrognosisProportional Hazards ModelsStomach NeoplasmsDNA, NeoplasmAneuploidyGastric cancerSurvival

Identifiers

PMID31266459
PMCPMC6607593
OpenAlexW2953969104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.