Evidence map›Paper›PMID 27029387›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Efficient isolation and proteomic analysis of cell plasma membrane proteins in gastric cancer reveal a novel differentiation and progression related cell surface marker, R-cadherin.

Bo Chen, Qi-Cong Luo, Jian-Bo Chen, Li-E Lin, Ming-Xu Luo, Hong-Yue Ren, Pei-Qiong Chen, Lian-Guo Shi

Open access · hybridAbstract read
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-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, 4 citations in OpenAlex.

  1. Article
  2. Expression and Prognostic Significance of Cadherin 4 (CDH4) in Renal Cell Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
    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

8 authors at 2 institutions in 1 country.

Bo ChenDepartment of Gastrointestinal Surgery, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China. chenbo7892@xmu.edu.cn.
Qi-Cong LuoCentral Laboratory, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
Jian-Bo ChenDepartment of Oncology, Chenggong Hospital affiliated to Xiamen University, 361003, Xiamen, Fujian, China.
Li-E LinDepartment of Radiation Oncology, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
Ming-Xu LuoDepartment of Gastrointestinal Surgery, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
Hong-Yue RenDepartment of Biobank, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
Pei-Qiong ChenDepartment of Pathology, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
Lian-Guo ShiDepartment of Pathology, Xiamen Cancer Hospital of The First Affiliated Hospital of Xiamen University, 361003, Xiamen, Fujian, China.
First Affiliated Hospital of Xiamen University · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell plasma membrane proteins, playing a crucial role in cell malignant transformation and development, were the main targets of tumor detection and therapy. In this study, CyDye/biotin double-labeling proteomic approach was adopted to profile the membrane proteome of gastric cancer cell line BGC-823 and paired immortalized gastric epithelial cell GES-1. Real-time PCR, Western blotting, and immunohistochemical staining were used to validate the differential expression of a novel identified cell surface marker R-cadherin in gastric cancer cells and tissues. Clinicopathological study and survival analysis were performed to estimate its roles in tumor progression and outcome prediction. Real-time PCR and Western blotting showed that the expression level of R-cadherin in gastric cancer were significantly lower than non-cancerous epithelial cell and tissues. Clinicopathological study indicated that R-cadherin was dominantly expressed on cell surface of normal gastric epithelium, and its expression deletion in gastric cancer tissues was associated with tumor site, differentiation, lymph node metastasis, and pTNM (chi-square test, P < 0.05). Those patients with R-cadherin positive expression displayed better overall survivals than negative expression group (log-rank test, P = 0.000). Cox multivariate survival analysis revealed lacking the expression of R-cadherin was a main independent predictor for poor clinical outcome in gastric cancer (RR = 5.680, 95 % CI 2.250-14.341, P < 0.01). We have established a fundamental membrane proteome database for gastric cancer and identified R-cadherin as a tumor differentiation and progression-related cell surface marker of gastric cancer. Lacking the expression of R-cadherin indicates poor prognosis in patients with gastric cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBlotting, WesternCadherinsCell DifferentiationCell LineCell Line, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateMaleBiomarkers, TumorCadherinsMembrane ProteinsProteomeR-cadherinCell surface proteinsGastric adenocarcinomaR-cadherinTumor biomarkerTumor differentiationTumor progression

Identifiers

PMID27029387
PMCPMC5080335
OpenAlexW2322387433

What OpenQuestion holds

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Registered trials

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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.