Evidence map›Paper›PMID 34364366›Full record

ArticleBMC cancer2021

Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.

Yuanyuan Wang, Wei Li, Xiaojing Jin, Xia Jiang, Shang Guo, Fei Xu, Xingkai Su, Guiqi Wang, Zengren Zhao, Xiaosong Gu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  10. Comprehensive pan-cancer analysis reveals prognostic implications of TMEM92 in the tumor immune microenvironment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  11. Article
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  13. Colorectal Cancer and Its Microenvironment: A Brief Review.Medical journal of the Islamic Republic of Iran · 2024
    Review
  14. Article
  15. Article
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  20. A Prognostic Model Using Immune-Related Genes for Colorectal Cancer.Frontiers in cell and developmental biology · 2022
    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

10 authors at 3 institutions in 1 country.

Yuanyuan Wang *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Wei Li *Department of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Xiaojing JinDepartments of Emergency, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Xia JiangDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Shang GuoDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Fei XuDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Xingkai SuDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Guiqi WangDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China.
Zengren ZhaoDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Donggang Road 89, Shijiazhuang, 050031, Hebei, China. zzr-doctor@163.com.
Xiaosong GuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China. 13933888224@163.com.
First Affiliated Hospital of Hebei Medical University · CNHebei Medical University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) has significantly correlation with tumor occurrence and prognosis. Our study aimed to identify the prognostic immune-related genes (IRGs)in the tumor microenvironment of colorectal cancer (CRC).

methodsTranscriptome and clinical data of CRC cases were downloaded from TCGA and GEO databases. Stromal score, immune score, and tumor purity were calculated by the ESTIMATE algorithm. Based on the scores, we divided CRC patients from the TCGA database into low and high groups, and the differentially expressed genes (DEGs) were identified. Immune-related genes (IRGs) were selected by venn plots. To explore underlying pathways, protein-protein interaction (PPI) networks and functional enrichment analysis were used. After utilizing LASSO Cox regression analysis, we finally established a multi-IRGs signature for predicting the prognosis of CRC patients. A nomogram consists of the thirteen-IRGs signature and clinical parameters was developed to predict the overall survival (OS). We investigated the association between prognostic validated IRGs and immune infiltrates by TIMER database.

resultsGene expression profiles and clinical information of 1635 CRC patients were collected from the TCGA and GEO databases. Higher stromal score, immune score and lower tumor purity were observed positive correlation with tumor stage and poor OS. Based on stromal score, immune score and tumor purity, 1517 DEGs, 1296 DEGs, and 1892 DEGs were identified respectively. The 948 IRGs were screened by venn plots. A thirteen-IRGs signature was constructed for predicting survival of CRC patients. Nomogram with a C-index of 0.769 (95%CI, 0.717-0.821) was developed to predict survival of CRC patients by integrating clinical parameters and thirteen-IRGs signature. The AUC for 1-, 3-, and 5-year OS were 0.789, 0.783 and 0.790, respectively. Results from TIMER database revealed that CD1B, GPX3 and IDO1 were significantly related with immune infiltrates.

conclusionsIn this study, we established a novel thirteen immune-related genes signature that may serve as a validated prognostic predictor for CRC patients, thus will be conducive to individualized treatment decisions.

Indexed as

Biomarkers, TumorTranscriptomeCancer-Associated FibroblastsColorectal NeoplasmsComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisProtein Interaction MappingProtein Interaction MapsROC CurveStromal CellsTumor MicroenvironmentBiomarkers, TumorColorectal cancerGEOImmune-related gene signaturePrognosisTCGATumor microenvironment

Identifiers

PMID34364366
PMCPMC8349485
OpenAlexW3117699927

What OpenQuestion holds

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LicenceCC BY
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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.