Evidence map›Paper›PMID 35117487›Full record

ArticleTranslational cancer research2020

Comprehensive analysis reveals a four-gene signature in colorectal cancer.

Bin Zhao, Zheng Wan, Xiaohong Zhang, Yilin Zhao

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Upregulation ofGenes · 2024
    Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Bin ZhaoDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital, Xiamen University, Xiamen 361005, China.
Zheng WanDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital, Xiamen University, Xiamen 361005, China.
Xiaohong ZhangDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital, Xiamen University, Xiamen 361005, China.
Yilin ZhaoDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital, Xiamen University, Xiamen 361005, China.
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the major malignant diseases of the gastrointestinal system around the world. However, the current therapeutic regimens were not always effective. This study was designed to identify and depict potential molecular biomarkers and correlated signal pathways in CRC.

methodsThe gene expression profiles of GSE21510 were obtained on the Gene Expression Omnibus website, we filtered out 44 samples from the GSE21510 to identify different expression genes (DEGs) between CRC tissues and noncancerous tissues. Subsequently, the function and signal pathways enrichment analyses were implemented, the protein-protein interaction (PPI) networks of DEGs were to be carried out, and the hub genes were screened by MCODE built in Cytoscape software. Lastly, we have validated gene expressions and overall survival analyses of these hub genes in related datasets, such as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ), built in TCGA/GTEx database.

resultsResults showed that a totally of 166 up-regulated genes and 260 down-regulated genes were identified and met the following criteria: |log2 fold change| ≥2 & adjusted P value <0.01. Here, we identified

conclusionsThe findings of these four genes in this study may shed light on the mechanisms of these four genes as drug-sensitive therapeutic targets for the patients of CRC.

Indexed as

biomarkerscolon cancercolorectal cancer (CRC)Differentially expressed genes (DEGs)survival analyses

Identifiers

PMID35117487
PMCPMC8799256
OpenAlexW3006758073

What OpenQuestion holds

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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.