Evidence map›Paper›PMID 33402833›Full record

ArticleOncoTargets and therapy2020

High Centromere Protein-A (CENP-A) Expression Correlates with Progression and Prognosis in Gastric Cancer.

Yuan Xu, Chao Liang, Xianlei Cai, Miaozun Zhang, Weiming Yu, Qinshu Shao

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. CENP-A Regulation and Cancer.Frontiers in cell and developmental biology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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 at 2 institutions in 1 country.

Yuan XuDepartment of Gastrointestinal Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, People's Republic of China.ORCID 0000-0002-1709-5603
Chao LiangDepartment of Gastrointestinal Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, People's Republic of China.
Xianlei CaiDepartment of Gastrointestinal Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, People's Republic of China.
Miaozun ZhangDepartment of Gastrointestinal Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, People's Republic of China.
Weiming YuDepartment of Gastrointestinal Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, People's Republic of China.
Qinshu ShaoDepartment of Gastrointestinal Pancreatic Surgery, Zhejiang Provincial People's Hospital, Hangzhou 310014, People's Republic of China.
Ningbo Medical Center Lihuili Hospital · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecent studies have established the ability of centromere protein-A (CENP-A) to perform as an oncogene, regulating tumor progression. The aim of this research was to explore the relationship between CENP-A expression and clinical significance in gastric cancer (GC) patients. MATERIALS AND

methodsExperiments with a microarray were conducted using the Affymetrix U133 plus 2.0 GeneChip Array. Upregulated differentially expressed genes (DEGs) were identified via the GEO2R and intersected using a Venn diagram. Bioinformatic databases Omcomine, GEPIA, and Ualcan were applied to investigate the expression level of CENP-A in GC. The real-time quantitative RT-PCR (qRT-PCR) was used to validate the level of CENP-A mRNA in GC. Immunohistochemistry (IHC) was employed to verify the protein levels of CENP-A, while the relationship between CENP-A expression and patients' clinical parameters in GC was explored through the use of IHC. Kaplan-Meier analysis was conducted to evaluate the prognostic significance of CENP-A. Additionally, the Kaplan-Meier plotter database (KM plotter) was used to verify the prognostic function of CENP-A in GC patients.

resultsThe results indicated that CENP-A was significantly overexpressed, both in protein and mRNA levels of GC tissues, compared to adjacent noncancerous tissues (P<0.05). Furthermore, we observed that CENP-A expression was positively associated with TNM stage, tumor classification, lymph node metastasis, distant metastasis, and Lauren type (P<0.05). Kaplan-Meier analysis showed that patients with an overexpression of CENP-A had significantly poorer overall survival (OS) times (P<0.05). Multivariate analysis suggested CENP-A may serve as an independent predicting factor for the poor outcome of GC patients.

conclusionOur results show that CENP-A upregulation is significantly correlated with advanced tumor progression and poor prognosis. CENP-A may function as a novel potential biomarker for predicting the clinical outcomes of GC patients.

Indexed as

CENP-Agastric cancerpoor prognosissurvival analysis

Identifiers

PMID33402833
PMCPMC7778524
OpenAlexW3116601096

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.