Evidence map›Paper›PMID 35845924›Full record

ArticleBioMed research international2022

Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.

Zhen Yao, Xue Pan, Wenyue Chen, Yongjian Pei, Chen Chen, Yongkang Huang, Songtao Liu, Yulong Liu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 24 citations in OpenAlex.

  1. American journal of cancer research · 2024
    Review
  2. Article
  3. [Molecular pathology of colorectal cancer].Pathologie (Heidelberg, Germany) · 2023
    Review
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 1 institution in 1 country.

Zhen YaoDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0002-9959-6881
Xue PanDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Wenyue ChenDepartment of Nuclear Accident Medical Emergency, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yongjian PeiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Chen ChenDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yongkang HuangDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0002-4811-001X
Songtao LiuDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0003-4718-9050
Yulong LiuDepartment of Nuclear Accident Medical Emergency, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0003-2660-8076
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC), one of the main causes of death, remains a leading cause of mortality in gastrointestinal cancer and tends to affect the younger generation. However, the pathological process of colorectal cancer is unclear. Exploring potential pathogenesis and therapeutic targets of CRC is significant as its high prevalence and high mortality. Nowadays, the rapid development of bioinformatics provides us an opportunity to explore potential molecular markers of CRC. Materials and Methods: First, three CRC gene chips with paracancerous controls were downloaded from the Gene Expression Omnibus (GEO) database. Second, after combining and batch correcting the three chips using the R language and Perl language, the differentially expressed genes (DEGs) were selected to investigate how they affect the CRC occurrence and development by GO and KEGG enrichment analysis. Third, based on the STRING website and the Cytoscape software, the protein-protein interaction (PPI) network was constructed and the core genes were screened out. Finally, through polymerase chain reaction (PCR) and immunohistochemistry (IHC), the expression and function of the core gene CXCL8 in CRC were explored. Results: GSE10950, GSE44076, and GSE75970, including 126 intestinal cancer samples and 126 paracancer samples, were screened as the datasets. 192 DEGs were screened, including 43 upregulated genes and 149 downregulated genes. Through the DEGs screened out, GO enrichment analysis, KEGG enrichment analysis, and the construction of PPI interaction network were carried out. Finally, according to the nodes and edges in the PPI network, the DEGs were sorted and the core genes were selected. Through basic experiments, the first ranked CXCL8 was further studied, and the results suggest that the expression of CXCL8 is related to the proliferation, migration, invasion, and even distant metastasis of CRC. Conclusion: The present study showed that DEGs of CRC are associated with multiple tumor-related biological processes and signaling pathways. The core gene CXCL8 has the potential to be a new therapeutic target for CRC.

Indexed as

Colorectal NeoplasmsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansPrognosisProtein Interaction Maps

Identifiers

PMID35845924
PMCPMC9279071
OpenAlexW4284882470

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.