Evidence map›Paper›PMID 34215253›Full record

ArticleCancer cell international2021

A novel strategy to identify candidate diagnostic and prognostic biomarkers for gastric cancer.

Lei Liu, Honglin Pang, Qiao He, Biran Pan, Xiaobin Sun, Jing Shan, Liping Wu, Kaiwen Wu, Xue Yao, Yuanbiao Guo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer cell international, 2021. 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
2.2field-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. Proteomic profiling identifies an oncogene ITGA2 and its downstream targets in gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. miR-185 in salivary extracellular vesicles for early diagnosis of malignant transformation in oral leukoplakia: a clinical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
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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

10 authors at 4 institutions in 1 country.

Lei Liu *Medical Research Center, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, 82 Qinglong Road, Chengdu, 610031, Sichuan, China. liulei@swtju.edu.cn.ORCID http://orcid.org/0000-0002-8691-4465
Honglin Pang *College of Medicine, Southwest Jiaotong University, Chengdu, 610036, Sichuan, China.
Qiao He *Department of Clinical Laboratory, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610031, Sichuan, China.
Biran PanAssisted Reproductive Center, The Maternal and Child Health Hospital of Qinzhou, Qinzhou, 535000, Sichuan, China.
Xiaobin SunDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Jing ShanDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Liping WuDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Kaiwen WuCollege of Medicine, Southwest Jiaotong University, Chengdu, 610036, Sichuan, China.
Xue YaoCollege of Medicine, Southwest Jiaotong University, Chengdu, 610036, Sichuan, China.
Yuanbiao GuoMedical Research Center, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, 82 Qinglong Road, Chengdu, 610031, Sichuan, China. Guo.ybiao@yahoo.com.
Third People's Hospital of Chengdu · CNSouthwest Jiaotong University · CNQinzhou Maternity and Child Health Care Hospital · CNUniversity of Electronic Science and Technology of China · CN

Funding

Applied Basic Research Program of Sichuan Province 2020YJ0485Department of Science and Technology of Sichuan Province 2020YFS0492
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the most common cancer worldwide. It is essential to identify non-invasive diagnostic and prognostic biomarkers of GC. The aim of the present study was to screen candidate biomarkers associated with the pathogenesis and prognosis of GC by a novel strategy.

methodsThe expression level of gene higher in cancer than in adjacent non-cancer tissue was defined as "positive", and the top 5% genes with "positive rate" were filtered out as candidate diagnostic biomarkers in three Gene Expression Omnibus (GEO) datasets. Further, a prognostic risk model was constructed by multivariate Cox regression analysis in GEO dataset and validated in The Cancer Genome Atlas (TCGA). The expression level of candidate biomarkers was determined in serum and serum-derived exosomes of GC patients. Moreover, the effect of biomarkers in exosomes on migration of GC cells was analyzed by transwell assay.

resultsTen candidate biomarkers (AGT, SERPINH1, WNT2, LIPG, PLAU, COL1A1, MMP7, MXRA5, CXCL1 and COL11A1) were identified with efficient diagnostic value in GC. A prognostic gene signature consisted of AGT, SERPINH1 and MMP7 was constructed and showed a good performance in predicting overall survivals in TCGA. Consistently, serum levels of the three biomarkers also showed high sensitivity and specificity in distinguishing GC patients from controls. In addition, the expression level of the three biomarkers were associated with malignant degree and decreased after surgery in GC patients. Moreover, the expression level of AGT and MMP7 in exosomes correlated positively with serum level. The exosomes derived from serum of GC patients can promote migration of SGC-7901 cells. After neutralized the expression level of three proteins in exosomes with antibodies, the migration of GC cells was obviously suppressed.

conclusionsOur findings provided a novel strategy to identify diagnostic biomarkers based on public datasets, and suggested that the three-gene signature was a candidate diagnostic and prognostic biomarker for patients with GC.

Indexed as

DiagnosisExosomesGastric cancerPrognosisSerum biomarkers

Identifiers

PMID34215253
PMCPMC8254335
OpenAlexW3175971135

What OpenQuestion holds

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LicenceCC BY
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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.