Evidence map›Paper›PMID 33542925›Full record

ArticleBioMed research international2021

Identification of Genes Universally Differentially Expressed in Gastric Cancer.

Yidan Shi, Lishuang Qi, Haifeng Chen, Jiahui Zhang, Qingzhou Guan, Jun He, Meifeng Li, Zheng Guo, Haidan Yan, Ping Li

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Gut Microbiota Host-Gene Interaction.International journal of molecular sciences · 2022
    Review
  5. 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

10 authors at 3 institutions in 1 country.

Yidan ShiDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0003-2881-9117
Lishuang QiDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.ORCID https://orcid.org/0000-0002-2991-6544
Haifeng ChenDepartment of General Surgery, Fuzhou Second Hospital Affiliated to Xiamen University, 350007, China.ORCID https://orcid.org/0000-0002-5455-9876
Jiahui ZhangDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0001-7026-1140
Qingzhou GuanDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0001-7741-6440
Jun HeDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0003-1510-1093
Meifeng LiDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0003-3161-3611
Zheng GuoDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0003-4466-6026
Haidan YanDepartment of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID https://orcid.org/0000-0003-0214-7471
Ping LiDepartment of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou 350001, China.ORCID https://orcid.org/0000-0003-0332-867X
Fujian Medical University · CNHarbin Medical University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the remarkable heterogeneity of gastric cancer (GC), population-level differentially expressed genes (DEGs) identified using case-control comparison cannot indicate the dysregulated frequency of each DEG in GC. In this work, first, the individual-level DEGs were identified for 1,090 GC tissues without paired normal tissues using the RankComp method. Second, we directly compared the gene expression in a cancer tissue to that in paired normal tissue to identify individual-level DEGs among 448 paired cancer-normal gastric tissues. We found 25 DEGs to be dysregulated in more than 90% of 1,090 GC tissues and also in more than 90% of 448 GC tissues with paired normal tissues. The 25 genes were defined as universal DEGs for GC. Then, we measured 24 paired cancer-normal gastric tissues by RNA-seq to validate them further. Among the universal DEGs, 4 upregulated genes (

Indexed as

Biomarkers, TumorComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansProtein Interaction MapsSignal TransductionStomach NeoplasmsBiomarkers, Tumor

Identifiers

PMID33542925
PMCPMC7843176
OpenAlexW3123304143

What OpenQuestion holds

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LicenceCC BY
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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.