Evidence map›Paper›PMID 29163694›Full record

ArticleOncology letters2017

Exploration of the mechanism of colorectal cancer metastasis using microarray analysis.

Shuo Chen, Yan Wang, Lin Zhang, Yinan Su, Mingqing Zhang, Juan Wang, Xipeng Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. A Rare Case of Colorectal Cancer With Delayed Metastasis to the Duodenum.Case reports in gastrointestinal medicine · 2025
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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.

Shuo ChenDepartment of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Yan WangDepartment of Anorectal Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250011, P.R. China.
Lin ZhangDepartment of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Yinan SuDepartment of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Mingqing ZhangAnorectal Diseases Diagnosis and Treatment Center, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Juan WangDepartment of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Xipeng ZhangDepartment of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin 30000, P.R. China.
Nankai University · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the mechanism of metastasis in colorectal cancer (CRC) using microRNA (miRNA) and mRNA expression profiles. The mRNA and miRNA expression profiles of the GSE2509 and GSE56350 datasets were obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified using the limma software package. The Database for Annotation, Visualization and Integrated Discovery was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the DEGs. The predicted target genes associated with the DEMs were identified using the miRWalk database and the enrichment analysis was conducted using the clusterProfiler package. The miRNA-gene molecular interaction network was visualized using the Cytoscape software platform. A total of 544 DEGs and 42 DEMs were identified. DEGs were annotated in 320 GO terms and 11 KEGG pathways. Overall, 366 miRNA-gene pairs were identified and the miRNA-gene network was visualized. Furthermore, the predicted target genes were mainly classified in 12 pathways. The results of the present study suggest that fibronectin type III domain-containing 3B, cysteine rich transmembrane BMP regulator 1 and forkhead box J2 may be potential therapeutic and prognostic targets of metastatic CRC. In addition, pathways in cancer, the Wnt signaling pathway and extracellular matrix-receptor interaction may play a critical role in CRC metastasis.

Indexed as

colorectal cancermetastasismicroarray analysis

Identifiers

PMID29163694
PMCPMC5691382
OpenAlexW2760679791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.