Evidence map›Paper›PMID 33294444›Full record

ArticleBioMed research international2020

An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer.

Meng-Lu Zeng, Xian-Jin Zhu, Jin Liu, Peng-Chong Shi, Yan-Li Kang, Zhen Lin, Ying-Ping Cao

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Meng-Lu Zeng *Department of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0002-5947-5233
Xian-Jin Zhu *Department of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0003-0049-9289
Jin LiuDepartment of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0002-9592-5748
Peng-Chong ShiDepartment of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0003-2946-0062
Yan-Li KangDepartment of Clinical Laboratory Medicine, Fujian Provincial Hospital, Fuzhou 350001, China.
Zhen LinDepartment of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0002-2033-8047
Ying-Ping CaoDepartment of Clinical Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou 350000, China.ORCID https://orcid.org/0000-0002-3526-1548
Fujian Medical University · CNFujian Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundS100 family genes exclusively encode at least 20 calcium-binding proteins, which possess a wide spectrum of intracellular and extracellular functions in vertebrates. Multiple lines of evidences suggest that dysregulated S100 proteins are associated with human malignancies including colorectal cancer (CRC). However, the diverse expression patterns and prognostic roles of distinct S100 genes in CRC have not been fully elucidated.

methodsIn the current study, we analyzed the mRNA expression levels of S100 family genes and proteins and their associations with the survival of CRC patients using the Oncomine analysis and GEPIA databases. Expressions and mutations of S100 family genes were analyzed using the cBioPortal, and protein-protein interaction (PPI) networks of S100 proteins and their mutation-related coexpressed genes were analyzed using STRING and Cytoscape.

resultsWe observed that the mRNA expression levels of S100A2, S100A3, S100A9, S100A11, and S100P were higher and the level of S100B was lower in CRC tissues than those in normal colon mucosa. A high S100A10 levels was associated with advanced-stage CRC. Results from GEPIA database showed that highly expressed S100A1 was correlated with worse overall survival (OS) and disease-free survival (DFS) and that overexpressions of S100A2 and S100A11 were associated with poor DFS of CRC, indicating that S100A1, S100A2, and S100A11 are potential prognostic markers. Unexpectedly, most of S100 family genes showed no significant prognostic values in CRC.

conclusionsOur findings, though still need to be ascertained, offer novel insights into the prognostic implications of the S100 family in CRC and will inspire more clinical trials to explore potential S100-targeted inhibitors for the treatment of CRC.

Indexed as

Multigene FamilyAdenocarcinomaColorectal NeoplasmsComputational BiologyDNA Mutational AnalysisGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansPrognosisProtein Interaction MapsS100 ProteinsSurvival AnalysisTranscription, GeneticS100 Proteins

Identifiers

PMID33294444
PMCPMC7718059
OpenAlexW3109874405

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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.