Evidence map›Paper›PMID 36310511›Full record

ArticleJournal of clinical laboratory analysis2022

Overexpression of Copines-1 is associated with clinicopathological parameters and poor outcome in gastric cancer.

Jun Yang, Yingjing Wang, Rong Ge, Xiupeng Jia, Congshan Ge, Youqing Cen, Deng Pan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 1 institution in 1 country.

Jun YangDepartment of Cytopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.ORCID https://orcid.org/0000-0002-2921-7372
Yingjing WangDepartment of Histopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
Rong GeDepartment of Histopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
Xiupeng JiaDepartment of Histopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
Congshan GeDepartment of Cytopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
Youqing CenDepartment of Cytopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
Deng PanDepartment of Cytopathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
University of Nottingham Ningbo China · CN

Funding

Project of Ningbo Clinical Pathology Diagnosis Center 2021007Project of NINGBO Leading Medical &Health Discipline :2022-F30The Medical Science and Technology Project of Zhejiang Provincial Health Commission 2022KY1186
6 · The paper itself

Abstract

backgroundCopines-1 (CPNE1) is a soluble membrane-binding protein that includes two tandem C2 domains at the N-terminus and a C terminal A domain. Importantly, it is associated with the prognosis of various tumors, but there are only a few studies regarding the role of CPNE1 in gastric cancer (GC). This study aimed to explore the clinicopathological significance and prognostic potential of CPNE1 expression in GC.

methodsData from the TIMER2.0 and UALCAN were analyzed to assess CPNE1 mRNA levels in GC. The prognostic role of CPNE1 mRNA was examined via the Kaplan-Meier plotter. CPNE1 protein expression in tumor tissues was analyzed via immunohistochemistry of clinical samples from 99 GC patients. The relationship of CPNE1 expression with clinicopathological parameters and overall survival (OS) was evaluated using Cox proportional hazards regression models and Kaplan-Meier survival curves.

resultsCopines-1 mRNA levels were higher in GC tissues than in adjacent normal tissue (ANT) (p < 0.05). Further, high CPNE1 mRNA expression indicated poor OS (p = 9.4 e-10) and was significantly associated with first progression (FP) (p = 1.6 e-06) and post-progression survival (PPS) (p = 1.5 e-12). In addition, CPNE1 protein expression was higher in GC tissues than in ANT (p < 0.0001). Moreover, CPNE1 high expression was significantly related to advanced tumor-node-metastasis (TNM) stage (p = 0.004), lymph node metastasis (p = 0.003), and vascular invasion (p = 0.001). Kaplan-Meier analysis showed that GC patients with high expression CPNE1 group had worse OS than low expression group (p = 0.003). Univariate analysis showed that age (hazard ratio [HR] = 1.992; 95% confidence interval [CI], 1.009-3.934; p = 0.047), advanced TNM stage (HR = 4.941; 95% CI, 2.052-11.897; p = 0.000), tumor invasion (HR = 3.472; 95% CI, 1.349-8.937; p = 0.010), lymph node metastasis (HR = 8.846; 95% CI, 2.708-28.897; p = 0.000), vascular invasion (HR = 3.237; 95% CI, 1.521-6.891; p = 0.002), nervous invasion (HR = 2.324; 95% CI, 1.205-4.479; p = 0.012), and CPNE1 expression (HR = 3.464; 95% CI, 1.440-8.334; p = 0.006) were correlated with OS. In the multivariate analysis, age (HR = 2.514; 95% CI, 1.264-4.999; p = 0.009), lymph node metastasis (HR = 8.441; 95% CI, 2.553-27.906; p < 0.05), and CPNE1 expression (HR = 2.549; 95% CI, 1.051-6.186; p = 0.039) were significant prognostic predictors for GC.

conclusionsCopines-1 overexpression in GC is significantly associated with poor prognosis. Thus, CPNE1 levels may serve as a prognostic biomarker in GC patients.

Indexed as

Stomach NeoplasmsBiomarkers, TumorCarrier ProteinsHumansKaplan-Meier EstimateLymphatic MetastasisNeoplasm StagingPrognosisRNA, MessengerBiomarkers, TumorCarrier ProteinscopineRNA, MessengerCPNE1gastric cancerprognosissurvival

Identifiers

PMID36310511
PMCPMC9701855
OpenAlexW4307777483

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.