Evidence map›Paper›PMID 34294834›Full record

ArticleScientific reports2021

Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods.

Yi Liu, Long Cheng, Chao Li, Chen Zhang, Lei Wang, Jiantao Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  20. A Prognostic Model Using Immune-Related Genes for Colorectal Cancer.Frontiers in cell and developmental biology · 2022
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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

6 authors at 1 institution in 1 country.

Yi LiuDepartment of Colorectal and Anal Surgery, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Long ChengDepartment of Orthopedics, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Chao LiDepartment of Colorectal and Anal Surgery, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Chen ZhangDepartment of Colorectal and Anal Surgery, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Lei WangDepartment of Colorectal and Anal Surgery, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China. leiwang1967@163.com.
Jiantao ZhangDepartment of Colorectal and Anal Surgery, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China. zjt@jlu.edu.cn.
First Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) ranks fourth among the deadliest cancers globally, and the progression is highly affected by the tumor microenvironment (TME). This study explores the relationship between TME and colorectal cancer prognosis and identifies prognostic genes related to the CRC microenvironment. We collected the gene expression data from The Cancer Genome Atlas (TCGA) and calculated the scores of stromal/immune cells and their relations to clinical outcomes in colorectal cancer by the ESTIMATE algorithm. Lower immune scores were significantly related to the malignant progression of CRC (metastasis, p = 0.001). We screened 292 differentially expressed genes (DEGs) by dividing CRC cases into high and low stromal/immune score groups. Functional enrichment analyses and protein-protein interaction (PPI) networks illustrated that these DEGs were closely involved in immune response, cytokine-cytokine receptor interaction, and chemokine signaling pathway. Six DEGs (FABP4, MEOX2, MMP12, ERMN, TNFAIP6, and CHST11) with prognostic value were identified by survival analysis and validated in two independent cohorts (GSE17538 and GSE161158). The six DEGs were significantly related to immune cell infiltration levels based on the Tumor Immune Estimation Resource (TIMER). The results might contribute to discovering new diagnostic and prognostic biomarkers and new treatment targets for colorectal cancer.

Indexed as

Biomarkers, TumorComputational BiologyGene Expression ProfilingColorectal NeoplasmsDatabases, GeneticGene Expression Regulation, NeoplasticGene OntologyHumansImmunohistochemistryPrognosisProtein Interaction MappingProtein Interaction MapsTranscriptomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID34294834
PMCPMC8298640
OpenAlexW3183740843

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.